# hidekazu-konishi.com > AWS, generative AI, Amazon Bedrock, security, and software engineering deep-dives and free client-side tools by a Japan AWS Top Engineer. Long-form technical articles and 90+ browser-based, no-upload developer tools. Articles favor decision matrices, threshold tables, anti-pattern catalogs, and primary-source citations (AWS docs, RFCs, vendor postmortems). Last generated: 2026-10-22. ## About - [Hidekazu Konishi - Profile / Biography](https://hidekazu-konishi.com/): Hidekazu Konishi is an AI Solutions Architect, Japan AWS Top Engineer, Japan All AWS Certifications Engineer, AI Agent Engineer, Cloud Architect, and Tech Blogger. ## AI, Generative AI, and Amazon Bedrock - [Claude Code Mods Next to Settings Hooks - What a Mod Can Approve, and What allowManagedModsOnly and disableAllHooks Stop](https://hidekazu-konishi.com/entry/claude_code_mods_next_to_settings_hooks.html): A contract table that places Claude Code mods next to settings hooks, from the Claude Code documentation and CHANGELOG as of October 21, 2026 (version 2.1.307): where each runs and what each can change; what a mod's tool.check approval… - [Claude Code Version History and Timeline - Release Channels, Changed Defaults, and Where Each Version Date Comes From](https://hidekazu-konishi.com/entry/claude_code_version_history_and_timeline.html): A primary-source timeline of Claude Code versions from the research preview on February 24, 2025 to version 2.1.307, listing the versions that changed how Claude Code is offered, its extension points, or the defaults that decide how a… - [Before OpenAI's Agent Builder, Evals, and Reusable Prompts Shut Down - What Stops, What Stays, and Where OpenAI Points Each One](https://hidekazu-konishi.com/entry/openai_agent_builder_evals_and_reusable_prompts_shutdown.html): OpenAI's Agent Builder, Evals platform, and reusable prompt objects, read as a shutdown contract on 2026-10-20: what OpenAI's deprecations page schedules (existing evals become read-only on Oct 31, 2026; all three are scheduled to shut… - [Detecting Model Retirement from the API - Anthropic lifecycle, OpenAI shutdown_date, Amazon Bedrock modelLifecycle, and Gemini API Rerouting](https://hidekazu-konishi.com/entry/detecting_model_retirement_from_the_api.html): What four platforms' Models APIs return about model retirement, read on 2026-10-19 and called once on 2026-10-20: Anthropic lifecycle, deprecated_at, and retires_at (the default list holds active and deprecated models; a past retires_at… - [Receiving Claude API OpenTelemetry Traces on AWS - What the Destination Must Accept, What CloudWatch Accepts, and What Sits In Between](https://hidekazu-konishi.com/entry/receiving_claude_api_opentelemetry_traces_on_aws.html): Claude API OpenTelemetry export (beta since 2026-10-14) read against Amazon CloudWatch: what a telemetry destination must accept (OTLP/HTTP protobuf, HTTPS on port 443, a hostname, credentials only in header values, no /v1/traces), how… - [What the MCP TypeScript and Python SDKs Ask of Server Authors - One Server per Request, Token Audience Checks That Are Off by Default, and Tool Input Limits](https://hidekazu-konishi.com/entry/mcp_typescript_and_python_sdks_for_server_authors.html): Changes in the MCP TypeScript SDK and Python SDK from September to October 2026 that server authors configure, and client-side changes that reach the server, mapped by SDK, version, and side: one server per request in TypeScript 2.3.0,… - [Network Egress in Claude Managed Agents - allowed_hosts, the Package Manager and MCP Switches, and the Two Rules That Stop web_fetch](https://hidekazu-konishi.com/entry/network_egress_in_claude_managed_agents.html): How the networking setting of a Claude Managed Agents cloud environment applies to three outbound paths: the sandbox, the web_search and web_fetch tools on Anthropic's servers, and the MCP connector. Which setting applies to each path,… - [Where the Orchestration Program Runs - Programmatic Tool Calling in the Claude and OpenAI APIs, and Code Mode in Agent Harnesses](https://hidekazu-konishi.com/entry/where_the_orchestration_program_runs.html): Where the program that orchestrates tool calls runs in Anthropic's and OpenAI's Programmatic Tool Calling and in the Code Mode of Cloudflare and Pi: what each runtime does not have, what state remains, how data retention and ZDR apply,… - [Running Claude Apps Gateway on AWS - What the Gateway Holds and Enforces, What Stays on Developer Machines, and Where the Worked Example Stops](https://hidekazu-konishi.com/entry/running_claude_apps_gateway_on_aws.html): When you run the Claude apps gateway on AWS, which of the developer machine, the gateway, the AWS pieces, and the IdP holds the upstream credential, the session signing key, and the managed settings; what the gateway enforces per IdP… - [What a Translating LLM Gateway Drops - Thinking Blocks, Signatures, Cache Breakpoints, Tool Call IDs, and Citations on Each Route Between the Messages, Chat Completions, Responses, and Converse APIs](https://hidekazu-konishi.com/entry/what_a_translating_llm_gateway_drops.html): A route-by-route look at what an LLM gateway that converts between API formats carries, converts, drops with no error and no warning, or rejects: thinking blocks and their signatures, encrypted reasoning, cache breakpoints, tool call IDs,… - [Which MCP Clients a Remote MCP Server Lets In - Client ID Metadata Documents, Pre-Registration, Deprecated Dynamic Client Registration, and the Allowlists Layered on Top](https://hidekazu-konishi.com/entry/which_mcp_clients_a_remote_mcp_server_lets_in.html): How a remote MCP server decides which MCP clients it lets in, as of MCP specification version 2026-07-28: the three registration mechanisms (Client ID Metadata Documents, pre-registration, and Dynamic Client Registration, which is… - [Where AI Agent Authorization Standards Stand - RFCs, IETF Working Group Documents, Individual Drafts, and Specifications from Other Bodies](https://hidekazu-konishi.com/entry/where_ai_agent_authorization_standards_stand.html): Where the documents behind AI agent authorization stand as of 2026-10-09, sorted by stage with versions, dates, and datatracker status terms: the RFCs that AIMS, MCP specification version 2026-07-28, and A2A 1.0.0 cite; IETF working group… - [JWT Signing Algorithms on AWS Endpoints - What IAM, Application Load Balancer, API Gateway, AppSync, Cognito, and IAM Identity Center Accept, and What They Check Besides the Signature](https://hidekazu-konishi.com/entry/jwt_signing_algorithms_on_aws_endpoints.html): Following the AWS documentation, RFC 7519, RFC 8725, and the IANA JOSE registry as of October 5, 2026, this article lines up, in an Acceptance Table, the JWT signing algorithms each AWS receiver's documentation says it accepts, the claims… - [Mid-Conversation Changes in the Claude API - System Messages, Tool Changes, Per-Message Effort, and What the Prompt Cache and Preserved Thinking Keep](https://hidekazu-konishi.com/entry/claude_api_mid_conversation_changes_and_the_prompt_cache.html): Following the platform.claude.com documentation, this article lines up mid-conversation changes in the Claude Messages API (system instructions, per-turn reminders, effort, the tool set, tool definitions, and a long history) in two forms,… - [Managed Agent Runtimes - What Claude Managed Agents, the OpenAI Agents API, Amazon Bedrock, and GKE Agent Substrate Each Run for You, and What Stays With You](https://hidekazu-konishi.com/entry/managed_agent_runtimes_what_each_platform_holds.html): Following each provider's documentation as of October 3, 2026, this article lines up what five products from four providers take on (Claude Managed Agents, the OpenAI Agents API, Amazon Bedrock AgentCore Harness, Amazon Bedrock Managed… - [AGENTS.md Across Coding Agents - Which Instruction Files Codex, GitHub Copilot, Claude Code, and Others Read, From Where, and Whether One Takes Precedence](https://hidekazu-konishi.com/entry/agents_md_and_instruction_files_across_coding_agents.html): Following each vendor's documentation as of October 3, 2026, this article lines up how eleven features of seven coding agent products (Codex, GitHub Copilot, Claude Code, Gemini CLI, Antigravity, Cursor, and Kiro) discover, time, combine,… - [Amazon Bedrock Inference Endpoints and API Keys - What bedrock-runtime and bedrock-mantle Each Accept, Which IAM Action Each Call Checks, and What CloudTrail Records](https://hidekazu-konishi.com/entry/amazon_bedrock_inference_endpoints_and_api_keys.html): A walk through the two Amazon Bedrock inference endpoints, bedrock-runtime and bedrock-mantle, following the Amazon Bedrock User Guide as verified on September 28, 2026: the recommendation to start most new applications on bedrock-runtime… - [AWS Agent Registry and the Agentic Resource Discovery Specification - Governance Before Discovery](https://hidekazu-konishi.com/entry/aws_agent_registry_and_agentic_resource_discovery.html): AWS Agent Registry is built so that a record that has not been approved falls outside the APIs a consumer uses, and this article traces how that is implemented: the Governance Plane that holds every record regardless of lifecycle state… - [AWS DevOps Agent - What It Investigates by Default, What Needs Approval, and What It Refuses Even When the Role Allows It](https://hidekazu-konishi.com/entry/aws_devops_agent_investigation_boundaries.html): AWS DevOps Agent is usually read as an autonomous investigator, but the decision an account owner actually faces is a permission one, and this article traces the layers that narrow what the agent can do, three of which the customer does… - [Amazon Bedrock AgentCore Harness - The Managed Agent Loop and the Export-to-Code Boundary](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_harness_managed_loop.html): The AgentCore harness turns the orchestration layer into configuration, and this article maps the line that leaves - what the declaration holds, what it never reaches, and what the exit back to code hands you - working from the… - [Controlling How Much a Model Thinks - Why the Same Request Means Different Things Across Model Generations, and What the Output Cap Actually Counts](https://hidekazu-konishi.com/entry/controlling_how_much_a_model_thinks.html): Why the same request body means different things across model generations, and what each reasoning control actually binds - the output cap that counts thinking and response text together so raising it does not deepen the answer, the… - [Agentic Payments on AWS - Where the Spending Limit Is Enforced, and What It Does Not Stop](https://hidekazu-konishi.com/entry/agentic_payments_on_aws.html): Telling an agent not to overspend is not a control, because an instruction is an input to the model and an input to the model is something an attacker can write. Amazon Bedrock AgentCore payments puts the decision somewhere else: the… - [Model Customization on Amazon Bedrock - What Each Method Demands as Input, and What It Takes to Call the Model You Built](https://hidekazu-konishi.com/entry/model_customization_on_amazon_bedrock.html): Why "RAG or fine-tuning" gets the number of options wrong, and how the three customization methods on Amazon Bedrock are separated by what each one demands as input - supervised fine-tuning wants labeled pairs, reinforcement fine-tuning… - [Reproducible LLM Inference - Batch Invariance, the Cost of Determinism, and Where Bitwise Identity Is Actually Required](https://hidekazu-konishi.com/entry/reproducible_llm_inference.html): Why the same prompt at temperature zero does not return the same tokens - the cause is neither GPU concurrency nor floating point on its own, but kernels that change how they split a reduction as the batch size changes, which means the… - [Identity Lifecycle for AI Agents - Registration, Delegated Authorization, Access Review, and What Retirement Leaves Behind](https://hidekazu-konishi.com/entry/identity_lifecycle_for_ai_agents.html): How to run an AI agent identity all the way from registration to retirement, and why an agent identity is a third class that is neither a human identity nor a service account - the RFC 8693 distinction between delegation and impersonation… - [Threat Detection for AI Workloads on AWS - What GuardDuty AI Protection Detects, What It Does Not, and How to Read a Finding](https://hidekazu-konishi.com/entry/threat_detection_for_ai_workloads_on_aws.html): How to design the detection side for AI workloads on AWS instead of stopping at the controls that block an attack - what each GuardDuty AI Protection finding type requires before it can fire, why every one of them names the IAM identity… - [Migrating to the Stateless Model Context Protocol - What Breaks in Session-Based Servers and What Replaces It](https://hidekazu-konishi.com/entry/stateless_mcp_migration_guide.html): What the 2026-07-28 Model Context Protocol revision changed is where state is kept rather than how fast the protocol runs - which parts of a session-based server stop working the moment you speak the new revision, why the protocol-layer… - [Agent Sandboxing and Blast-Radius Isolation on AWS - Choosing the Unit of Each Containment Boundary and What Each One Does Not Stop](https://hidekazu-konishi.com/entry/agent_sandboxing_and_blast_radius_isolation_on_aws.html): How to contain an AI agent on AWS by choosing the unit of five boundaries - execution environment, credentials, network, data, and time - across AWS Lambda MicroVMs, Lambda tenant isolation mode, and Amazon Bedrock AgentCore Runtime, and… - [Content Provenance for AI-Generated Media - C2PA, Watermarking, and Machine-Readable Marking](https://hidekazu-konishi.com/entry/content_provenance_for_ai_generated_media.html): A practitioner's guide to content provenance for generated media, checked against the C2PA technical specification 2.4: what a valid Content Credential does and does not establish, the structure of a manifest, machine-readable marking… - [Threat Modeling Generative AI Applications on AWS - STRIDE for RAG, Agents, and Tool Use](https://hidekazu-konishi.com/entry/threat_modeling_generative_ai_applications_on_aws.html): A threat modeling method for generative AI applications on AWS: the asset inventory specific to this class of system, where the trust boundaries actually fall and why model output stays outside them, how to draw a data flow whose boundary… - [OWASP Top 10 for Agentic Applications Mapped to AWS Controls - What Each Control Mitigates and What Residual Risk Remains](https://hidekazu-konishi.com/entry/owasp_agentic_top_10_mapped_to_aws_controls.html): A per-entry mapping from the OWASP Top 10 for Agentic Applications (ASI01 to ASI10, Version 2026) to AWS controls: the agent-layer versus model-layer distinction, the control surface from AgentCore Identity and Cedar policy to guardrails… - [OpenTelemetry GenAI Semantic Conventions Implementation Guide - Vendor-Neutral Instrumentation for LLM and Agent Applications](https://hidekazu-konishi.com/entry/opentelemetry_genai_semantic_conventions_guide.html): A vendor-neutral implementation guide to the OpenTelemetry GenAI semantic conventions, transcribing the span, attribute, metric, and event definitions verbatim from the specification repository and covering stability levels, agent and… - [LLM Context Window Growth Timeline - Milestones, Current Sizes by Provider, and Official Sources](https://hidekazu-konishi.com/entry/llm_context_window_growth_timeline.html): An LLM context window growth timeline recording the published input context-window sizes of major models, from GPT-3's few-thousand-token limit through the first 100K, 200K, 1M, 2M, and 10M-token milestones to today's one-million-token… - [RAG and Prompting Techniques History and Timeline - Chain-of-Thought, ReAct, RAG, and GraphRAG](https://hidekazu-konishi.com/entry/rag_and_prompting_techniques_history_and_timeline.html): RAG and prompting techniques history and timeline tracing two lineages with primary sources - from few-shot prompting and Retrieval-Augmented Generation (RAG) in 2020, through chain-of-thought, self-consistency, ReAct, tree of thoughts,… - [Open-Weights LLM Release History and Timeline - Llama, Mistral, Qwen, DeepSeek, and gpt-oss Model Families, Capability Evolution, and Licenses](https://hidekazu-konishi.com/entry/open_weights_llm_release_history_and_timeline.html): Open-weights LLM release history and timeline covering the major open-weights model families - Meta Llama, Mistral AI, Alibaba Qwen, DeepSeek, and OpenAI gpt-oss, with Google Gemma and Microsoft Phi as milestones - including the model… - [Model Context Protocol Specification Version Timeline - Version-by-Version Changes and Adoption Milestones](https://hidekazu-konishi.com/entry/mcp_specification_version_timeline.html): Model Context Protocol specification version timeline covering every date-based revision - 2024-11-05, 2025-03-26, 2025-06-18, 2025-11-25, and the current 2026-07-28 - with each version's changes, the version negotiation model, and the… - [Google Gemini Model Release Timeline - Model Family, Capability Evolution, and Platform Availability](https://hidekazu-konishi.com/entry/google_gemini_model_release_timeline.html): Google Gemini model release timeline covering the Gemini model family - the Ultra, Pro, Flash, Flash-Lite, and Nano variants across the Gemini 1.0, 1.5, 2.0, 2.5, 3, 3.1, 3.5, 3.6, 3.7, and 3.8 generations and Gemini 4 Argon, the first… - [Dynamic Model Routing and Configuration Management for Generative AI with AWS AppConfig - Feature Flags, Schema Validation, and Safe Deployments](https://hidekazu-konishi.com/entry/dynamic_model_routing_with_aws_appconfig.html): A practical guide to dynamic model routing and runtime configuration management for generative AI with AWS AppConfig: feature flags versus freeform profiles, JSON Schema and Lambda validators, the AppConfig agent and Lambda extension,… - [Fine-Grained Access Control for AI Data with AWS Lake Formation - LF-Tags, Column-Level Permissions, and Cross-Account Sharing](https://hidekazu-konishi.com/entry/lake_formation_fine_grained_access_control_for_ai_data.html): Using AWS Lake Formation to enforce column-level, row-level, and cell-level access control over AI data: the two-layer permission model, an LF-Tag ontology and tag-based grants that exclude PII columns, data filters, cross-account sharing… - [LLM Inference Resilience Patterns on AWS - Retries with Backoff and Jitter, Circuit Breakers, and Stream Recovery](https://hidekazu-konishi.com/entry/llm_inference_resilience_patterns_on_aws.html): A practical guide to client-side resilience patterns for LLM inference on AWS - classifying failures, configuring AWS SDK retries with exponential backoff, jitter, and retry quotas, adding circuit breakers, setting timeout budgets,… - [Amazon Bedrock Knowledge Bases Ingestion and Isolation Patterns - Direct Ingestion, Sync Strategies, S3 Metadata Design, and Tenant Boundaries](https://hidekazu-konishi.com/entry/amazon_bedrock_knowledge_bases_ingestion_and_isolation_patterns.html): A write-side operations guide to Amazon Bedrock Knowledge Bases: direct ingestion, scheduled and event-driven sync strategies, S3 sidecar metadata design, deletion and re-ingestion, and tenant isolation patterns. - [End-to-End Response Streaming Architecture for Generative AI on AWS - WebSocket APIs, Lambda Response Streaming, AppSync, and Voice Pipelines](https://hidekazu-konishi.com/entry/generative_ai_response_streaming_architecture_on_aws.html): A Level 400 guide to the delivery layer for streaming generative AI responses on AWS, comparing API Gateway WebSocket APIs, Lambda response streaming, and AWS AppSync, and tracing one request end to end from Amazon Bedrock ConverseStream… - [AWS Step Functions Orchestration Patterns for Generative AI - Direct Service Integration, Parallelism, Callbacks, and Payload Limits](https://hidekazu-konishi.com/entry/step_functions_orchestration_patterns_for_generative_ai.html): A pattern catalog for orchestrating generative AI workflows on AWS Step Functions: the Lambda-less Amazon Bedrock InvokeModel integration, parallel and Map analysis, the waitForTaskToken callback pattern, working around the 256 KiB… - [Amazon Bedrock Model Evaluation Practical Guide - Automatic Metrics, LLM-as-a-Judge, RAG Evaluation, and CI/CD Quality Gates](https://hidekazu-konishi.com/entry/amazon_bedrock_model_evaluation_practical_guide.html): A practical implementation reference for Amazon Bedrock Evaluations: job types, dataset formats, the exact automatic and LLM-as-a-Judge metrics, RAG retrieve and retrieve-and-generate jobs, IAM and CORS prerequisites, and CI/CD quality… - [Safe Foundation Model Rollout Strategies on AWS - Canary Traffic Shifting, Evaluation Gates, and Automated Rollback](https://hidekazu-konishi.com/entry/safe_foundation_model_rollout_on_aws.html): A reference architecture for rolling foundation models safely on AWS: offline Amazon Bedrock evaluation gates, canary traffic shifting with AWS AppConfig or AWS Step Functions, CloudWatch canary metrics, and automated rollback. - [Semantic Caching for LLM Applications on AWS - Embedding-Based Cache Design with OpenSearch and Similarity Thresholds](https://hidekazu-konishi.com/entry/semantic_caching_for_llm_applications_on_aws.html): An implementation guide to semantic caching for LLM applications on AWS: embedding-based cache design with Amazon OpenSearch Service and Amazon MemoryDB, similarity-threshold calibration, invalidation and tenant scoping, and how it… - [Prompt Lifecycle Management on AWS - Amazon Bedrock Prompt Management, Versioning, and Prompt-as-Code CI/CD](https://hidekazu-konishi.com/entry/prompt_lifecycle_management_on_aws.html): A practical guide to prompt lifecycle management on AWS: author, version, and govern prompts with Amazon Bedrock Prompt Management, IAM role separation, CloudTrail audit, prompt-as-code CI/CD, and regression testing. - [Amazon Bedrock Converse API Deep Dive - Unified Model Interface, Conversation State, Tool Use, and Streaming](https://hidekazu-konishi.com/entry/amazon_bedrock_converse_api_deep_dive.html): A deep dive into the Amazon Bedrock Converse API: the unified request and normalized response, conversation state, multimodal inputs, tool use, ConverseStream, guardrails, and migrating from InvokeModel. - [Amazon Bedrock Knowledge Bases Retrieval Quality Engineering - Chunking Strategies, Hybrid Search, Metadata Filtering, Reranking, and Query Decomposition](https://hidekazu-konishi.com/entry/amazon_bedrock_knowledge_bases_retrieval_quality_engineering.html): A practical, symptom-driven guide to engineering retrieval quality in Amazon Bedrock Knowledge Bases: chunking strategies, hybrid search, metadata filtering, reranking, and query decomposition. - [Amazon Bedrock Cross-Region Inference and Data Residency Design - Geographic Inference Profiles, SCP and IAM Alignment, and Region-Contained RAG](https://hidekazu-konishi.com/entry/amazon_bedrock_cross_region_inference_and_data_residency.html): A Level 400 implementation guide to Amazon Bedrock cross-Region inference and data residency: geographic versus global inference profiles, aligning Service Control Policies with IAM, private VPC endpoint connectivity, Region-contained RAG… - [Amazon Bedrock Inference Throughput and Latency Optimization - Quotas, Provisioned Throughput, Latency-Optimized Inference, Prompt Caching, and Intelligent Prompt Routing](https://hidekazu-konishi.com/entry/amazon_bedrock_inference_throughput_and_latency_optimization.html): A Level 300 guide to optimizing inference throughput and latency on Amazon Bedrock - how on-demand quotas and token throttling work, and when to use Provisioned Throughput, Reserved Tier, latency-optimized inference, prompt caching,… - [Amazon Bedrock Security and Governance - IAM Condition Keys, SCP Design, PrivateLink, and Multi-Account Guardrail Enforcement](https://hidekazu-konishi.com/entry/amazon_bedrock_security_and_governance_guide.html): Governing Amazon Bedrock across an AWS Organization: IAM condition keys and ABAC, SCP design, PrivateLink VPC endpoints, model invocation logging and CloudTrail, and organization-wide guardrail enforcement distributed with CloudFormation… - [PII Detection and Redaction Patterns for Generative AI on AWS - Layered Defenses with Amazon Comprehend, Bedrock Guardrails, and Macie](https://hidekazu-konishi.com/entry/pii_detection_and_redaction_patterns_for_generative_ai_on_aws.html): A layered PII defense pipeline for generative AI on AWS: classify S3 data with Amazon Macie, detect and redact text with Amazon Comprehend, block or mask at the model boundary with Amazon Bedrock Guardrails sensitive information filters,… - [Amazon Bedrock Guardrails Implementation Deep Dive - Policy Types, ApplyGuardrail API, Detection Modes, and Cross-Region Guardrail Profiles](https://hidekazu-konishi.com/entry/amazon_bedrock_guardrails_implementation_deep_dive.html): A configuration and API-level reference implementation of Amazon Bedrock Guardrails, covering the six policy types, the block, mask, and detect action model, the ApplyGuardrail and InvokeGuardrailChecks APIs, guardrail versions and… - [Anthropic Claude API Errors Reference - HTTP Status Codes, Error Types, Causes, and Official Solutions](https://hidekazu-konishi.com/entry/anthropic_claude_api_errors_reference.html): A single-page reference for Anthropic Claude API errors: every HTTP status code and error type - invalid_request_error, rate_limit_error, overloaded_error, and more - with officially documented causes, resolutions, and source links. - [Amazon Bedrock Errors and Exceptions Reference - Runtime Exceptions, Causes, and Official Solutions](https://hidekazu-konishi.com/entry/amazon_bedrock_errors_and_exceptions_reference.html): A reference for Amazon Bedrock errors and exceptions - the meaning, documented causes, and official solutions for runtime exceptions like ThrottlingException, ModelNotReadyException, ValidationException, and AccessDeniedException. - [AWS History and Timeline regarding Amazon Q - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_q.html): AWS History and Timeline regarding Amazon Q with a focus on Amazon CodeWhisperer, Amazon Q Developer, Amazon Q Business, Amazon Quick Suite (now Amazon Quick), Kiro, and the naming and integration history. - [AI Model Deprecation and Lifecycle Calendar - Anthropic, OpenAI, Google, and Amazon Bedrock](https://hidekazu-konishi.com/entry/ai_model_deprecation_and_lifecycle_calendar.html): AI Model Deprecation and Lifecycle Calendar: a cross-vendor reference of announced deprecation, retirement, shutdown, and end-of-life (EOL) dates for AI models on the Anthropic API, OpenAI, Google Gemini API and Vertex AI, and Amazon… - [Tool Use and Agent Protocol History and Timeline - Function Calling, MCP, and A2A](https://hidekazu-konishi.com/entry/tool_use_and_agent_protocol_history_and_timeline.html): Tool use and agent protocol history and timeline covering function calling, the Model Context Protocol (MCP), and the Agent2Agent (A2A) protocol - from OpenAI function calling and Anthropic tool use to computer use, the MCP announcement… - [CLI Coding Agents Comparison - Claude Code, Codex CLI, Gemini CLI, and More](https://hidekazu-konishi.com/entry/cli_coding_agents_comparison.html): A continuously updated, official-documentation-only comparison of terminal-first CLI coding agents - Claude Code, OpenAI Codex CLI, Gemini CLI, Amazon Q Developer CLI (now Kiro CLI), GitHub Copilot CLI, Aider, Goose, OpenCode, and Qwen… - [Image and Video Generation Model Release Timeline - Major Text-to-Image and Text-to-Video Models across Vendors](https://hidekazu-konishi.com/entry/image_and_video_generation_model_release_timeline.html): An image and video generation model release timeline covering major text-to-image and text-to-video models across vendors - OpenAI DALL-E and Sora, the open-weight Stable Diffusion, SDXL, and FLUX, Google Imagen and Veo, Midjourney,… - [Amazon Nova Model Release Timeline - Model Family, Capability Evolution, and Availability on Amazon Bedrock](https://hidekazu-konishi.com/entry/amazon_nova_model_release_timeline.html): Amazon Nova model release timeline covering the Nova model family - the Nova Micro, Lite, Pro, and Premier understanding models, the Nova Canvas and Nova Reel creative models, Nova Sonic speech-to-speech, Nova Act browser automation, Nova… - [Agentic RAG Architecture on Amazon Bedrock - Query Planning, Retrieval Grading, and Self-Correction with AgentCore, Knowledge Bases, and Reranking](https://hidekazu-konishi.com/entry/agentic_rag_architecture_on_amazon_bedrock.html): A Level 400 implementation walkthrough of agentic, self-correcting RAG on Amazon Bedrock - an AgentCore-hosted Converse loop that plans sub-queries, grades retrieval, reranks, re-searches, verifies grounding with Guardrails, and evaluates… - [Multimodal Document Intelligence Pipeline on AWS - From Documents, Images, Audio, and Video to RAG with Amazon Bedrock Data Automation](https://hidekazu-konishi.com/entry/multimodal_document_intelligence_pipeline_on_aws.html): A Level 400 implementation walkthrough of a multimodal document intelligence pipeline on AWS - ingesting unstructured documents, images, audio, and video, structuring them with Amazon Bedrock Data Automation, applying confidence-score and… - [GraphRAG Architecture on AWS - Multi-Hop Retrieval with Amazon Bedrock Knowledge Bases and Neptune Analytics](https://hidekazu-konishi.com/entry/graphrag_architecture_on_aws_neptune_bedrock.html): A Level 400 implementation walkthrough of GraphRAG on AWS with Amazon Bedrock Knowledge Bases and Amazon Neptune Analytics: automatic graph construction, hybrid vector-plus-graph multi-hop retrieval, IAM, data boundaries, and failure modes. - [Generative BI and NL2SQL Agent Architecture on AWS - Safe Natural-Language Analytics with Bedrock, Athena, and Guardrails](https://hidekazu-konishi.com/entry/generative_bi_nl2sql_agent_architecture_on_aws.html): Build a safe natural-language-to-SQL (NL2SQL) analytics agent on AWS. A Bedrock AgentCore and Strands agent proposes SQL; a least-privilege Lambda validates it read-only with allow-lists and parameterized queries; Amazon Athena runs it… - [Real-Time Voice AI Agent Architecture with Amazon Nova Sonic - Bidirectional Streaming, Tool Use, and Knowledge Grounding](https://hidekazu-konishi.com/entry/realtime_voice_ai_agent_architecture_amazon_nova_sonic.html): A Level 400 walkthrough of a real-time voice AI agent on Amazon Bedrock with Amazon Nova Sonic: bidirectional streaming, barge-in and turn management, tool use, and Knowledge Bases grounding. - [Responsible-AI Guardrails Architecture on AWS - Independent Content Safety with Bedrock Guardrails, Comprehend, and WAF](https://hidekazu-konishi.com/entry/responsible_ai_guardrails_architecture_on_aws.html): Build an independent, model-agnostic content-safety pipeline on AWS: Amazon Bedrock Guardrails applied through the ApplyGuardrail API for pre- and post-generation checks and contextual grounding, Amazon Comprehend for PII completion, AWS… - [LLMOps Observability and Evaluation Architecture on AWS - Tracing, Metrics, and Automated Evaluation Gates with CloudWatch and OpenTelemetry](https://hidekazu-konishi.com/entry/llmops_observability_and_evaluation_architecture_on_aws.html): A Level 400 LLMOps reference architecture on AWS: instrument generative AI agents with OpenTelemetry and ADOT, observe them in Amazon CloudWatch, and gate prompt and model changes with automated evaluation in AWS CodePipeline. - [Multi-Tenant Generative AI SaaS Architecture on AWS - Tenant Isolation, Per-Tenant Knowledge Bases, and Guardrails with ABAC](https://hidekazu-konishi.com/entry/multi_tenant_generative_ai_saas_architecture_on_aws.html): Build a generative AI SaaS on AWS where tenants cannot cross boundaries: Amazon Cognito tenant identity carried into AWS STS session tags and ABAC, per-tenant Amazon Bedrock Knowledge Bases and Guardrails, Amazon DynamoDB LeadingKeys and… - [Self-Managed LLM Inference on Amazon EKS - Serving Open-Weight Models with vLLM, Neuron/GPU, and Karpenter](https://hidekazu-konishi.com/entry/self_managed_llm_inference_on_amazon_eks.html): A Level 400 implementation walkthrough for self-hosting open-weight LLM inference on Amazon EKS with vLLM, AWS Inferentia2/Trainium (Neuron) or GPU nodes, Karpenter autoscaling, ALB ingress, EKS Pod Identity, and a hybrid fallback to… - [Agent Interoperability Architecture on AWS - Cross-Runtime Agents with A2A, MCP, and Amazon Bedrock AgentCore Gateway](https://hidekazu-konishi.com/entry/agent_interoperability_architecture_a2a_mcp_on_aws.html): A Level 400 walkthrough of cross-runtime agent interoperability on AWS - how the A2A protocol, Model Context Protocol (MCP), and Amazon Bedrock AgentCore Gateway combine with OAuth on-behalf-of identity propagation and Cedar authorization… - [Large-Scale Batch Generative AI Pipeline on AWS - Asynchronous Inference at Scale with Bedrock Batch, Step Functions, and SQS](https://hidekazu-konishi.com/entry/large_scale_batch_generative_ai_pipeline_on_aws.html): A Level 400 implementation walkthrough of asynchronous batch generative AI at scale on AWS - sharding a corpus with Step Functions Distributed Map, running Amazon Bedrock batch inference and synchronous fan-out, and handling retries,… - [AI Contact Center Architecture on AWS - Voice and Chat Automation with Amazon Connect, Lex, Bedrock, and Q in Connect](https://hidekazu-konishi.com/entry/ai_contact_center_architecture_on_aws.html): A Level 400 implementation walkthrough of an AI contact center on AWS, with Amazon Connect contact flows, Amazon Lex intents and slots, Amazon Connect AI agents and MCP tools, grounded answers from Amazon Bedrock Knowledge Bases and… - [OpenAI GPT Model Release Timeline - Model Lineage, ChatGPT and Codex Milestones, and Platform Availability](https://hidekazu-konishi.com/entry/openai_gpt_model_release_timeline.html): OpenAI GPT model release timeline covering the model lineage from GPT-1 through the GPT-5 generation and the o-series reasoning models to GPT-6 Astra and GPT-6.1 Sol, the capability evolution (function calling, JSON mode, vision, voice… - [Hardening and Governance Guide for Claude Code and Claude Desktop - Containerized Containment and Why Code and Desktop Govern Differently](https://hidekazu-konishi.com/entry/claude_code_and_desktop_hardening_and_governance_guide.html): How to harden Claude Code with containerized, OS-level containment in five defense-in-depth layers - container egress, Bash sandbox, hooks and permissions, managed-mcp, and a TLS-inspecting proxy - and why governing Claude Desktop… - [Production RAG Architecture on Amazon Bedrock - Knowledge Bases, Vector Stores, Retrieval, Guardrails, and Evaluation](https://hidekazu-konishi.com/entry/amazon_bedrock_rag_architecture_guide.html): A Level 400 implementation walkthrough of a production Retrieval-Augmented Generation (RAG) architecture on Amazon Bedrock - document ingestion and chunking with Knowledge Bases, vector stores, Retrieve and RetrieveAndGenerate, Bedrock… - [Claude Code Skills Complete Guide - Creating, Testing, and Distributing Agent Skills](https://hidekazu-konishi.com/entry/claude_code_skills_complete_guide.html): A definitive, implementation-level guide to Claude Code Agent Skills: what a skill is and when to choose one over CLAUDE.md, the full SKILL.md frontmatter (name, description, when_to_use, disable-model-invocation, user-invocable,… - [Agent Skills Security Vetting Guide - Static Inspection of SKILL.md and Malicious Skill Patterns](https://hidekazu-konishi.com/entry/agent_skills_security_vetting_guide.html): A practical guide to vetting third-party Agent Skills before you run them: a threat model for SKILL.md, a taxonomy of malicious skill patterns, a static inspection checklist for frontmatter, instructions, and bundled scripts, and… - [Claude Code Plugins Complete Guide - Bundling Skills, Hooks, Agents, and MCP Servers for Team Distribution](https://hidekazu-konishi.com/entry/claude_code_plugins_complete_guide.html): A definitive, implementation-level guide to Claude Code plugins: what a plugin can bundle (skills, agents, hooks, MCP servers, LSP servers, and monitors), the .claude-plugin/plugin.json manifest and directory structure, building and… - [Claude Code Compaction and Long-Session Operations Guide - Managing Context Across Long and Multi-Session Work](https://hidekazu-konishi.com/entry/claude_code_compaction_and_long_session_guide.html): A focused, practical guide to Claude Code compaction and long, multi-session work: how the context window fills and is reclaimed, what /compact and /clear preserve and discard, externalizing task state to files, and resuming sessions with… - [Anthropic Claude Model Migration Guide - Upgrading Prompts and Workloads Across Model Generations](https://hidekazu-konishi.com/entry/anthropic_claude_model_migration_guide.html): A practical, vendor-neutral playbook for migrating production Claude workloads across model generations: how a model upgrade differs from a version bump, the Active-Deprecated-Retired lifecycle and deprecation policy, the compatibility… - [MCP Server Testing and Debugging Guide - Inspector, Integration Tests, Transports, and CI Regression](https://hidekazu-konishi.com/entry/mcp_server_testing_and_debugging_guide.html): A guide to testing and debugging Model Context Protocol (MCP) servers across the protocol, server-logic, and client-integration layers: the MCP Inspector, in-memory integration tests with the official SDKs, stdio and Streamable HTTP… - [Amazon Bedrock AgentCore Policy Implementation Guide - Cedar-Based Agent Authorization and Default-Deny Design](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_policy_implementation_guide.html): Implementation guide to Policy in Amazon Bedrock AgentCore - Cedar-based authorization for AI agent tool calls at the AgentCore Gateway boundary, covering default-deny and forbid-wins design, policy patterns, natural language authoring,… - [Amazon Bedrock AgentCore Evaluations Practical Guide - Built-In Evaluators and CI/CD Regression Testing for AI Agents](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_evaluations_practical_guide.html): An implementation-level guide to Amazon Bedrock AgentCore Evaluations: built-in LLM-as-a-judge and trajectory evaluators, online, on-demand, and batch evaluation, the Evaluate API, custom LLM-judge and Lambda code-based evaluators, ground… - [Claude Code Extension Layer Decision Guide - Choosing Among Skills, Subagents, Hooks, and Plugins](https://hidekazu-konishi.com/entry/claude_code_extension_layers_decision_guide.html): A decision-focused hub guide to the Claude Code extension layers: what CLAUDE.md and memory, skills, subagents, hooks, MCP servers, plugins, and settings.json are each good at, when each layer loads (always-on, on-demand, event-driven), a… - [Strands Agents Multi-Agent Pattern Selection Guide - Agents-as-Tools, Swarm, Graph, and Workflow](https://hidekazu-konishi.com/entry/strands_agents_multi_agent_patterns_guide.html): A practical guide to choosing among the Strands Agents multi-agent primitives - Agents-as-Tools, Swarm, Graph, and Workflow - covering how each pattern works with verified Python APIs, control structure and determinism comparisons, a… - [AI Agent Memory Design Guide - Working, Long-Term, and Procedural Memory with Forgetting and Staleness Management](https://hidekazu-konishi.com/entry/ai_agent_memory_design_guide.html): A definitive design guide to AI agent memory: a research-grounded taxonomy of working, episodic, semantic, and procedural memory mapped to concrete storage substrates, context window budgeting for working memory, write policies that keep… - [MCP Tool Poisoning Defense Guide - Client-Side Defense in Depth for AI Agents](https://hidekazu-konishi.com/entry/mcp_tool_poisoning_defense_guide.html): A practical guide to defending AI agents against MCP tool poisoning, rug pulls, tool shadowing, and poisoned tool outputs: client-side defense in depth for the Model Context Protocol with supply chain vetting, approval and allowlist… - [Cost-Optimization Guide to Rolling Out Claude Code and Claude Desktop Across Your Organization - Choosing Delivery Models and Finding Break-Even](https://hidekazu-konishi.com/entry/claude_code_and_desktop_org_rollout_cost_guide.html): A cost-optimization guide to rolling out Claude Code and Claude Desktop across an organization: distinguish the three delivery models (Anthropic first-party subscription, Claude Platform on AWS, and Amazon Bedrock), make usage-based the… - [Practical Guide to Deploying Claude Code and Claude Desktop Behind a Corporate Proxy - Domains, MSIX, NTLM/Kerberos, and VPN Coexistence](https://hidekazu-konishi.com/entry/claude_code_and_desktop_corporate_proxy_guide.html): A hands-on guide to running Claude Code and Claude Desktop behind a corporate proxy: which destination domains to allowlist, direct MSIX install, NODE_EXTRA_CA_CERTS and SSL inspection, NTLM/Kerberos relays (CNTLM/Px), VPN coexistence,… - [Claude Code on Pay-As-You-Go API Billing - Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI](https://hidekazu-konishi.com/entry/claude_code_api_billing_anthropic_bedrock_vertex.html): How to run Claude Code on pay-as-you-go API billing across the Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI - subscription versus metered billing, per-route setup of environment variables, credentials, and model IDs, spend… - [Claude Code Subagents and Multi-Agent Orchestration Guide - Delegation, Parallel Fan-Out, and Custom Agent Definitions](https://hidekazu-konishi.com/entry/claude_code_subagents_and_orchestration_guide.html): A definitive guide to Claude Code subagents and multi-agent orchestration - the context-isolation model, the Agent tool and built-in agents, custom .claude/agents definitions, tool scoping, parallel fan-out, delegation heuristics,… - [Claude Code Hooks Complete Guide - Deterministic Enforcement Across the Tool Lifecycle](https://hidekazu-konishi.com/entry/claude_code_hooks_complete_guide.html): A definitive, implementation-level guide to Claude Code hooks: the full hook event lifecycle (PreToolUse, PostToolUse, UserPromptSubmit, Stop, SubagentStop, SessionStart, PreCompact and more), the exit-code and JSON communication protocol… - [Claude Agent SDK Complete Guide - Building Custom Agents Beyond the CLI](https://hidekazu-konishi.com/entry/claude_agent_sdk_complete_guide.html): A definitive, implementation-level guide to the Claude Agent SDK (formerly the Claude Code SDK) - installing it in Python and TypeScript, the query() agent loop, configuring tools, MCP servers, permission modes, hooks, subagents, provider… - [Anthropic Claude API Prompt Caching and Token Efficiency Guide - Cache Breakpoints, Batch Processing, and Context Engineering](https://hidekazu-konishi.com/entry/anthropic_claude_api_prompt_caching_and_token_efficiency.html): A definitive, implementation-level guide to Claude API token efficiency - prompt caching and cache breakpoints, the Message Batches API, token counting, context engineering, and model selection. Mechanisms, request structure, and… - [Claude Code in CI/CD and Headless Automation - Running the Agent Unattended in Pipelines](https://hidekazu-konishi.com/entry/claude_code_cicd_and_headless_automation.html): An implementation-level guide to running Claude Code unattended in CI/CD pipelines: print/headless mode and claude -p, parsing stream-json output, authenticating in CI across the Anthropic API, Amazon Bedrock, and Google Vertex AI, the… - [Claude Code Operator's Handbook](https://hidekazu-konishi.com/entry/claude_code_operators_handbook.html): Claude Code Operator's Handbook is a continuously revised, single-page operator manual covering surfaces, directory layout, settings, the six feature layers, slash commands, daily workflows, failure recovery, and the safety floor. - [AWS History and Timeline regarding Amazon Bedrock - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_bedrock.html): AWS History and Timeline regarding Amazon Bedrock with a focus on foundation models, inference modes, Knowledge Bases, Guardrails, Agents, and AgentCore. - [Amazon Bedrock Glossary - A Reference for AI Engineers and Architects](https://hidekazu-konishi.com/entry/amazon_bedrock_glossary.html): Amazon Bedrock Glossary - essential terms (Foundation Model, Inference Profile, Knowledge Bases, Guardrails, Agents, AgentCore, MCP, A2A, and more) defined for AI engineers and cloud architects. - [AI Agent Engineering Glossary - Memory, Tools, Orchestration, and Protocols Explained](https://hidekazu-konishi.com/entry/ai_agent_engineering_glossary.html): AI Agent Engineering Glossary - the essential terms for memory, tools, orchestration, protocols (MCP / A2A), retrieval, evaluation, security, and observability used in modern AI agent stacks. - [Amazon Bedrock AgentCore Master Index - A Hub for AgentCore Articles and Decision Patterns](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_master_index.html): A hub for the six Amazon Bedrock AgentCore articles on hidekazu-konishi.com, organized around a self-named L0-L4 Deployment Ladder framework. - [MCP Server Implementation Reference - Anthropic, OpenAI, Google, Cloudflare, and AWS](https://hidekazu-konishi.com/entry/mcp_server_implementation_reference.html): A cross-vendor reference compiled from public vendor documentation of how Anthropic, OpenAI, Google, Cloudflare, and AWS implement the Model Context Protocol (MCP) as of 2026-05, comparing spec compliance, transports (Streamable HTTP,… - [AWS Generative AI History and Timeline - From SageMaker JumpStart to Bedrock AgentCore](https://hidekazu-konishi.com/entry/aws_generative_ai_history_and_timeline.html): AWS generative AI history organized as a 7-lane timeline (Foundation Models, Agent and Orchestration, Coding AI, Business AI, Image / Video / Audio, Knowledge and Retrieval, Safety and Guardrails) spanning the Pre-LLM Era, Foundation… - [Anthropic Claude Model Release Timeline - Model Family Tree, Capability Evolution, and Platform Availability](https://hidekazu-konishi.com/entry/anthropic_claude_model_release_timeline.html): Anthropic Claude model release timeline with the Opus / Sonnet / Haiku model family tree, capability evolution (Vision, Tool Use, Computer Use, Prompt Caching, Extended Thinking, Memory Tool, 1M context, effort parameter), platform… - [Amazon Bedrock Model Catalog 2026](https://hidekazu-konishi.com/entry/amazon_bedrock_model_catalog_2026.html): A Reference Aggregation Page that catalogs every foundation model on Amazon Bedrock as of 2026 - 19 providers, 130+ models, with model IDs, context windows, Tool Use / Prompt Caching / Cross-Region Inference support, and a Region… - [Claude Code Features and Settings Reference 2026](https://hidekazu-konishi.com/entry/claude_code_features_settings_reference_2026.html): A single-page reference snapshot of the user-visible surface of Claude Code as of 2026, covering distribution channels, built-in tools, plan mode, subagents, skills, hooks, slash commands, MCP integration, settings keys, and keybindings,… - [MCP Server Ecosystem Reference 2026](https://hidekazu-konishi.com/entry/mcp_server_ecosystem_reference_2026.html): Reference catalog of Model Context Protocol servers as of 2026, covering reference implementations, vendor-operated remote servers, and active community servers across filesystem, web, database, search, AWS/GCP/Azure, developer tools,… - [Code Review Checklist and Anti-Pattern Catalog: A Reviewer's Reference for Modern and AI-Augmented Codebases](https://hidekazu-konishi.com/entry/code_review_checklist_and_antipatterns.html): A complete reviewer's reference covering five observation-axis checklists (bug risk, readability, performance, security, tests), twelve recurring anti-patterns, and AI-specific review patterns including hallucinated APIs and slopsquatting. - [Claude Code Harness and Environment Engineering: Designing the Frontline Where Local AI Agents Actually Live](https://hidekazu-konishi.com/entry/claude_code_harness_and_environment_engineering_guide.html): An implementation-level guide to Claude Code harness and environment engineering, covering the in-process harness layer (settings.json permissions, hooks, CLAUDE.md, MCP servers) and the out-of-process environment layer (OS users,… - [Claude Code Getting Started - Why Knowing About Local AI Agents Changes Everything](https://hidekazu-konishi.com/entry/claude_code_getting_started_guide.html): A practical, no-prior-knowledge getting-started guide to Claude Code, framed around how trying a local AI agent for the first time changes how you see, value, and use generative AI. Covers the six Claude Code transports (CLI, Desktop, VS… - [MCP Server on AWS Lambda Complete Guide - Building Model Context Protocol Servers with Streamable HTTP and OAuth 2.1](https://hidekazu-konishi.com/entry/mcp_server_aws_lambda_complete_guide.html): A hands-on guide to building production-grade Model Context Protocol (MCP) servers on AWS Lambda using Streamable HTTP, OAuth 2.1, Lambda Web Adapter, API Gateway, and Bedrock AgentCore Gateway integration. - [Amazon Bedrock AgentCore Production Operations Guide - Observability, Cost Optimization, and Disaster Recovery](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_production_guide.html): Practitioner's guide to running Amazon Bedrock AgentCore in production: GenAI Observability, cost control, resilience, capacity planning, and runbooks. - [AWS WAF for Generative AI - Prompt Injection Defense Implementation Patterns](https://hidekazu-konishi.com/entry/aws_waf_generative_ai_prompt_injection_patterns.html): Defend generative AI apps with AWS WAF: rate-based DoW protection, jailbreak blocking, Lambda pre-screening, Bedrock Guardrails, Lambda@Edge output filtering, and CloudWatch detection queries with CloudFormation and Terraform snippets. - [EventBridge Pipes Event-Driven Architecture Implementation Patterns](https://hidekazu-konishi.com/entry/eventbridge_pipes_event_driven_architecture_patterns.html): A practitioner's guide to Amazon EventBridge Pipes - the four-stage Source / Filter / Enrichment / Target model, concrete implementation patterns that previously required Lambda glue (SQS to Step Functions, DynamoDB Streams to EventBridge… - [Enterprise AI Agent Environment Design Notes Part 3: Cloud Selection, Cost, and Operations](https://hidekazu-konishi.com/entry/enterprise_ai_agent_design_notes_part3.html): Enterprise AI Agent Environment Design Notes Part 3 - Use-case-driven cloud selection, MCP and A2A protocols, multi-cloud architecture patterns, TCO comparison, vendor lock-in mitigation, operations and monitoring, and a reference… - [Enterprise AI Agent Environment Design Notes Part 2: Implementing SharePoint ACL and Permission Controls](https://hidekazu-konishi.com/entry/enterprise_ai_agent_design_notes_part2.html): Enterprise AI Agent Environment Design Notes Part 2 - Deep dive into propagating SharePoint ACLs to AI agents, comparing Microsoft Foundry Path A and Path B, Google Cloud Gemini Enterprise, and AWS Bedrock Knowledge Bases, plus a… - [Enterprise AI Agent Environment Design Notes Part 1: Comparing the Three Major Clouds and Designing Your Architecture](https://hidekazu-konishi.com/entry/enterprise_ai_agent_design_notes_part1.html): Enterprise AI Agent Environment Design Notes Part 1 - Compares Microsoft Foundry, Amazon Bedrock AgentCore, and Google Cloud Vertex AI for enterprise AI agent platforms, with a three-tier agent deployment model and phased architecture… - [Amazon Bedrock AgentCore Implementation Guide Part 4: Multi-Agent Orchestration](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_implementation_guide_part4_multi_agent.html): Amazon Bedrock AgentCore Implementation Guide Part 4 - Five orchestration patterns including A2A Protocol, Supervisor, LangGraph multi-agent, Browser Use automation, and Guardrails Shadow Mode. - [Amazon Bedrock AgentCore Implementation Guide Part 3: Building a 4-Stack CDK Architecture with an Observability Pipeline](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_implementation_guide_part3_infrastructure.html): Amazon Bedrock AgentCore Implementation Guide Part 3 - 4-stack CDK architecture pattern with CloudWatch Vended Logs, X-Ray Transaction Search, and Firehose usage log pipeline for production observability. - [Amazon Bedrock AgentCore Implementation Guide Part 2: Multi-Layer Security with Identity, Gateway, and Policy](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_implementation_guide_part2_security.html): Amazon Bedrock AgentCore Implementation Guide Part 2 - Defense-in-depth security with Cognito JWT authentication, Token Vault, MCP Gateway, and Cedar policy-based authorization. - [Amazon Bedrock AgentCore Implementation Guide Part 1: Runtime, Memory, and Code Interpreter Patterns](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_implementation_guide_part1_foundation.html): Amazon Bedrock AgentCore Implementation Guide Part 1 - Practical implementation patterns for Runtime hosting, Memory two-layer architecture, Code Interpreter sandbox, and NDJSON-to-SSE streaming. - [Beyond Self-Disruption: The Paradigm Shift Software Engineers Need in the AI Era](https://hidekazu-konishi.com/entry/ai_era_software_engineer_paradigm_shift.html): A personal reflection on the paradigm shift software engineers need in the AI era. From valuing knowledge accumulation to problem-defining ability, judgment, and execution — what lies beyond self-disruption. - [Amazon Bedrock AgentCore Beginner's Guide - AI Agent Development from Basics with Detailed Term Explanations](https://hidekazu-konishi.com/entry/amazon_bedrock_agentcore_beginners_guide.html): Amazon Bedrock AgentCore Beginner's Guide - AI Agent Development from Basics with Detailed Term Explanations. - [Using Claude 3.7 Sonnet Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Stable Diffusion 3.5 Large](https://hidekazu-konishi.com/entry/amazon_bedrock_claude3-7sonnet_vision_automate_sd3-5large.html): Using Claude 3.7 Sonnet Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Stable Diffusion 3.5 Large. - [Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3.7 Sonnet](https://hidekazu-konishi.com/entry/amazon_bedrock_for_titling_commenting_ocr_with_claude3-7_sonnet.html): Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3.7 Sonnet. - [Validating and Regenerating Videos Using Amazon Nova Pro Vision Model on Amazon Bedrock (Amazon Nova Reel Edition)](https://hidekazu-konishi.com/entry/amazon_bedrock_nova_pro_vision_automate_nova_reel_video_gen.html): Validating and Regenerating Videos Using Amazon Nova Pro Vision Model on Amazon Bedrock (Amazon Nova Reel Edition). - [Amazon Bedrock Models as of 2024 - An Analysis of the Comprehensive Model Catalog](https://hidekazu-konishi.com/entry/amazon_bedrock_models_as_of_2024.html): Amazon Bedrock Models as of 2024 - An Analysis of the Comprehensive Model Catalog. - [Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Amazon Nova Pro](https://hidekazu-konishi.com/entry/amazon_bedrock_for_titling_commenting_ocr_with_amazon_nova_pro.html): Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Amazon Nova Pro. - [Using Amazon Nova Pro Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Amazon Nova Canvas](https://hidekazu-konishi.com/entry/amazon_bedrock_nova_pro_vision_automate_nova_canvas_image_gen.html): Using Amazon Nova Pro Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Amazon Nova Canvas. - [AI and Machine Learning Glossary for AWS - Knowledge Gained While Studying for AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer - Associate](https://hidekazu-konishi.com/entry/aws_ai_ml_glossary.html): AI and Machine Learning Glossary for AWS - Knowledge Gained While Studying for AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer - Associate. - [Evaluating OCR Accuracy of Claude on Amazon Bedrock and Amazon Textract Using Similarity Metrics](https://hidekazu-konishi.com/entry/amazon_bedrock_claude_and_textract_ocr_accuracy_evaluation.html): Evaluating OCR Accuracy of Claude on Amazon Bedrock and Amazon Textract Using Similarity Metrics. - [Using Claude 3.5 Sonnet Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Amazon Titan Image Generator G1](https://hidekazu-konishi.com/entry/amazon_bedrock_claude_3-5_sonnet_vision_automate_titan_image_gen.html): Using Claude 3.5 Sonnet Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Amazon Titan Image Generator G1. - [Using Amazon Bedrock to repeatedly generate images with Stable Diffusion XL via Claude 3.5 Sonnet until requirements are met](https://hidekazu-konishi.com/entry/amazon_bedrock_gen_images_with_sdxl_via_claude_3-5_until_requirements_are_met.html): Using Amazon Bedrock to repeatedly generate images with Stable Diffusion XL via Claude 3.5 Sonnet until requirements are met. - [Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3.5 Sonnet](https://hidekazu-konishi.com/entry/amazon_bedrock_for_titling_commenting_ocr_with_claude3-5_sonnet.html): Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3.5 Sonnet. - [Using Amazon Textract for OCR(Optical Character Recognition)](https://hidekazu-konishi.com/entry/amazon_textract_for_ocr.html): Using Amazon Textract for OCR(Optical Character Recognition). - [Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Haiku](https://hidekazu-konishi.com/entry/amazon_bedrock_for_titling_commenting_ocr_with_claude3_haiku.html): Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Haiku. - [Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Opus](https://hidekazu-konishi.com/entry/amazon_bedrock_for_titling_commenting_ocr_with_claude3_opus.html): Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Opus. - [Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Sonnet](https://hidekazu-konishi.com/entry/amazon_bedrock_for_titling_commenting_ocr_with_claude3.html): Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Sonnet. - [Basic Information about Amazon Bedrock with API Examples - Model Features, Pricing, How to Use, Explanation of Tokens and Inference Parameters](https://hidekazu-konishi.com/entry/amazon_bedrock_basic_info_and_api_examples.html): Basic Information about Amazon Bedrock with API Examples - Model Features, Pricing, How to Use, Explanation of Tokens and Inference Parameters. ## AWS Architecture and Services - [Kubernetes Release and Support Timeline - Minor Releases, Maintenance Mode, End of Life, and Version Skew](https://hidekazu-konishi.com/entry/kubernetes_release_and_support_timeline.html): A primary-source timeline of upstream Kubernetes minor releases from Kubernetes 1.0 on July 21, 2015 to the proposed Kubernetes 1.38 release, with the end-of-life date and final patch release of each version from the Releases page on… - [Lambda Event Pollers in Provisioned Mode for Kafka and SQS - MinimumPollers, MaximumPollers, Poller Groups, and Setting Only One Side](https://hidekazu-konishi.com/entry/aws_lambda_event_pollers_in_provisioned_mode.html): What decides the number of event pollers for AWS Lambda event source mappings on Amazon MSK, self-managed Apache Kafka, and Amazon SQS, read from the sources: on-demand mode and Provisioned mode, the ranges and defaults of MinimumPollers… - [How Wrong Can the Clock on an EC2 Instance Be - Clock Error Bounds over NTP and the PTP Hardware Clock, phc_error_bound, and ClockBound](https://hidekazu-konishi.com/entry/how_wrong_can_the_clock_on_an_ec2_instance_be.html): How far an Amazon EC2 instance clock can be from UTC, read from the sources: the four time paths (link-local NTP, NTP inside a precision time placement group, the PTP hardware clock, and time.aws.com), the chrony formula for the clock… - [AWS Lambda Web Functions as a Contract - Endpoint Types, Authentication, Scaling Limits, 429s and 503s, and What Is Fixed at Creation](https://hidekazu-konishi.com/entry/aws_lambda_web_functions_as_a_contract.html): AWS Lambda Web Functions (announced 2026-10-12, available today) read as a contract: the three resources and the three endpoint types (HomeRegion, MultiRegion, PerRegion), what is fixed at creation (the endpoint type and its Regions) and… - [Which Lines of the AWS Helm Instructions Change Under Helm 4 - Server-Side Apply, Wait Strategies, Post-Renderer Plugins, and Amazon ECR Login](https://hidekazu-konishi.com/entry/helm_4_on_amazon_eks_and_amazon_ecr.html): How each Helm line in the AWS instructions for Amazon ECR, Amazon EKS, the AWS Load Balancer Controller, Karpenter, ACK, and Amazon CloudWatch meets the Helm 4 changes, from the Helm 4 Overview, the helm install and helm upgrade… - [What a GitHub-Hosted Runner Label Resolves To - ubuntu-latest to Ubuntu 26.04, the macos-14 Retirement, and Tool Versions in AWS Deploy Jobs](https://hidekazu-konishi.com/entry/github_hosted_runner_label_migrations.html): How GitHub-hosted runner labels such as ubuntu-latest, ubuntu-24.04, ubuntu-22.04, macos-14, and macos-latest resolve to runner images, who moves them, when, and how to stay on the previous image, from GitHub Changelog, the runner-images… - [Dependency Cooldowns by Package Manager - Defaults Since Which Version, What Update Bots Do Not Wait For, and the Publish Times CodeArtifact Returns](https://hidekazu-konishi.com/entry/dependency_cooldowns_by_package_manager.html): A tool-by-tool map of the settings that hold back newly published package versions in pnpm, npm, Yarn, Bun, Deno, uv, pip, Poetry, Renovate, and Dependabot: setting name, unit, default value and since which version, scope (direct or… - [When Expired Data Is Actually Deleted on AWS - DynamoDB TTL, S3 Lifecycle Expiration, and CloudWatch Logs Retention](https://hidekazu-konishi.com/entry/when_expired_data_is_actually_deleted_on_aws.html): A service-by-service look at the window between expiry and actual deletion in Amazon DynamoDB Time to Live, Amazon S3 Lifecycle expiration (unversioned buckets, current versions in versioning-enabled buckets, and noncurrent versions), and… - [Where AWS Publishes Which Features Exist in Which Region - Capabilities by Region, SSM Public Parameters, and the CloudFormation Registry](https://hidekazu-konishi.com/entry/where_aws_publishes_regional_feature_availability.html): A source-by-source look at where AWS publishes whether a service, feature, API operation, CloudFormation resource type, or endpoint is available in a Region: AWS Capabilities by Region (first announced on 2025-11-06, with feature-level… - [Moving Data Between Amazon S3 and Aurora or RDS for PostgreSQL with the aws_s3 Extension - What the Import and Export Functions Accept, Whose IAM Role Reaches the Bucket, and How They Differ from Foreign Tables](https://hidekazu-konishi.com/entry/aws_s3_extension_on_aurora_and_rds_for_postgresql.html): What the aws_s3 extension's import and export functions on Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL accept, return, and reject; which identity reaches the Amazon S3 bucket (the IAM role associated with the DB cluster or DB… - [Where AWS Publishes Version End Dates - The AWS Health Version Catalog, DescribeServiceLifecycle, and the Calendars of RDS, Aurora, EKS, Lambda, OpenSearch Service, and ElastiCache](https://hidekazu-konishi.com/entry/aws_health_version_catalog_and_service_version_calendars.html): A field-by-field look at where AWS publishes version end dates: the schema of the AWS Health version catalog (DescribeServiceLifecycle, added on 2026-10-02) and the values visible in its documentation, the calendars that RDS and Aurora… - [How Amazon Aurora serverless Decides Its Capacity - What You Set, What Aurora Decides Within Your Range, What the Maximum ACU Fixes, and Where Each Shows Up](https://hidekazu-konishi.com/entry/how_amazon_aurora_serverless_decides_its_capacity.html): A value-by-value look at Aurora serverless capacity: what you set (MinCapacity, MaxCapacity, SecondsUntilAutoPause, and reader promotion tiers), what Aurora decides (current capacity, the scaling increment, and the platform version), what… - [What Decides How Much a CloudWatch Logs Insights Query Scans - What You Choose, What CloudWatch Logs Indexes for You, What Can Change the Result, and Where Each Shows Up](https://hidekazu-konishi.com/entry/what_decides_how_much_a_cloudwatch_logs_insights_query_scans.html): A look at what decides how much a CloudWatch Logs Insights query scans: what the user chooses (time range, log groups and log class, filter operators, field index policies, and limit any), what CloudWatch Logs decides (default and… - [Amazon S3 Metadata Tables - Who Writes the Journal, Live Inventory, and Annotation Tables, How Current Each One Is, and What You Can Answer Without Listing a Bucket](https://hidekazu-konishi.com/entry/amazon_s3_metadata_journal_inventory_and_annotation_tables.html): Following the AWS documentation as of October 6, 2026, this article lines up the three tables that Amazon S3 Metadata keeps for a general purpose bucket - journal, live inventory, and annotation - by who writes each one, who can delete… - [Apache Iceberg Materialized Views on AWS - Who Refreshes Them, Who Can Write Them, Which Engines Read Them, and How Current a Read Is](https://hidekazu-konishi.com/entry/apache_iceberg_materialized_views_on_aws.html): Following the AWS documentation as of October 6, 2026, this article lines up the three kinds of Apache Iceberg materialized views (MVs) in the AWS Glue Data Catalog - regular MVs created with Spark, system-managed MVs that only AWS Glue… - [Querying Apache Iceberg and Parquet from Amazon Aurora PostgreSQL - What DuckDB Runs, What Your Transaction Sees, How Current a Read Is, and What Reaches the Writer](https://hidekazu-konishi.com/entry/querying_iceberg_and_parquet_from_amazon_aurora_postgresql.html): Following the AWS documentation as of October 6, 2026, this article reads Amazon Aurora PostgreSQL foreign tables over Apache Iceberg and Parquet data in Amazon S3, Amazon S3 Tables, and the AWS Glue Data Catalog through four questions:… - [What Breaks Ordering, Service by Service on AWS - SQS FIFO, SNS FIFO, Kinesis, Amazon MSK, DynamoDB Streams, and the EventBridge Custom Event Bus](https://hidekazu-konishi.com/entry/ordering_guarantees_by_service_on_aws.html): Following the AWS documentation, this article lines up, in a four-part Contract Table, the sentence that promises order (where the documentation has one), the unit within which that promise holds, and the conditions under which the… - [EC2 Image Builder - Recipes, Workflows, Distribution, and Lifecycle Policies, and What the Image Resource Records About How an AMI Was Built](https://hidekazu-konishi.com/entry/ec2_image_builder_recipes_workflows_and_lifecycle_policies.html): A walk through EC2 Image Builder for AMIs, following the Image Builder user guide, the API Reference, and the EC2 user guide: what the recipe, the infrastructure configuration, the build, test, and distribution workflows, the distribution… - [AWS PrivateLink Tunnel Endpoints - Sharing a Network Segment Instead of Individual Resources, What GENEVE Requires of the Consumer, and Which Side Can Open a Connection](https://hidekazu-konishi.com/entry/aws_privatelink_tunnel_endpoints_and_network_segments.html): A walk through AWS PrivateLink tunnel endpoints, following the PrivateLink, VPC Lattice, and AWS RAM user guides and the AWS CLI Command Reference: sharing a network segment as one CIDR-type resource configuration through AWS RAM instead… - [AWS Clean Rooms Analysis Rules and Differential Privacy - What a Collaborator Can Learn From Your Table, What the Output Removes Without Saying So, and Where Each Budget Runs Out](https://hidekazu-konishi.com/entry/aws_clean_rooms_analysis_rules_and_differential_privacy.html): A walk through AWS Clean Rooms analysis rules and differential privacy, following the AWS Clean Rooms User Guide and API Reference: where an analysis rule sits (an account-level control on the configured table, enforced in every… - [Cross-Account Sharing by Service on AWS - AWS RAM Resource Shares, Service-Native Sharing, and What Each Route Leaves the Owner Able to Stop](https://hidekazu-konishi.com/entry/cross_account_sharing_by_service_on_aws.html): A walk through cross-account sharing on AWS by service, following the AWS RAM User Guide, the AWS RAM API Reference, and each service's own guide: where each of the three routes names the other side (AWS RAM resource shares,… - [Agent Toolkit for AWS and the AWS MCP Server - How IAM, SCPs, and CloudTrail Tell an Agent's Calls Apart, and Where They Cannot](https://hidekazu-konishi.com/entry/agent_toolkit_for_aws_and_the_aws_mcp_server.html): A walk through how AWS tells the calls a coding agent makes through the AWS MCP Server apart from a person's calls, following the IAM User Guide, the Agent Toolkit for AWS User Guide, and two AWS Security Blog posts: the global condition… - [What Fills an AWS STS Session Token - Session Policies, Session Tags, the Single Size Limit, and How to Measure and Test It](https://hidekazu-konishi.com/entry/what_fills_an_aws_sts_session_token.html): A walk through what fills an AWS STS session token and how its size is limited, reported, and tested after the change of September 15, 2026, following the AWS Security Blog, the STS API Reference, the IAM User Guide, and two AWS re:Post… - [Amazon EventBridge Custom Event Bus and the Classic Bus - What Maps From Rules to Subscribers, Which Defaults Change, and What Stays on the Classic Bus](https://hidekazu-konishi.com/entry/amazon_eventbridge_custom_event_bus_and_the_classic_bus.html): A walk through the mapping table that the Amazon EventBridge User Guide publishes for moving from Custom Event Bus - Classic to the Custom Event Bus, row by row, separating what carries over as it is (the events: IAM namespace, the… - [Amazon CloudWatch Omni and CloudWatch - What Stays in CloudWatch, What Omni Adds With Domains, Spaces, and Grants, and Where Each Setting Is Configured](https://hidekazu-konishi.com/entry/amazon_cloudwatch_omni_and_what_stays_in_cloudwatch.html): What teams that already run Amazon CloudWatch need to know before turning on Amazon CloudWatch Omni, laid out only as far as AWS states it: the seven existing elements AWS names as unchanged, the CloudWatch features and IAM roles that… - [Object Lock, Legal Holds, and Event Holds in Amazon S3 - Who Can Shorten a Retention Period, What a Hold Adds, and When the Retention Clock Starts](https://hidekazu-konishi.com/entry/amazon_s3_object_lock_legal_holds_and_event_holds.html): Amazon S3 Object Lock protects an object version under three names, but a retention period, a legal hold, and the event hold added on September 8, 2026 are two mechanisms rather than three - covering where each protection is declared, who… - [AMI Allowed Instance Types and Launch Governance on Amazon EC2 - What the Image Owner Declares, What Accounts and Organizations Add, and What a Launch-Time Check Leaves Untouched](https://hidekazu-konishi.com/entry/amazon_ec2_ami_allowed_instance_types_and_launch_governance.html): Whether an Amazon EC2 instance can launch from an AMI is decided by four declarations in three places - the AMI allowed instance types that an image owner sets on the AMI since September 4, 2026, the Allowed AMIs setting of the consuming… - [Amazon EC2 Application Status Checks - Where the Probe Comes From, What Marks an Instance Impaired, and Who Acts When It Fails](https://hidekazu-konishi.com/entry/amazon_ec2_application_status_checks.html): Amazon EC2 application status checks, added on August 10, 2026, let you declare the protocol, port, path, and healthy response codes for the application on an instance, and Amazon EC2 Auto Scaling replaces instances whose overall… - [Encryption Controls by Service on AWS Storage - What Is On by Default, Which Key You Can Choose, and What Turning It On Does Not Re-encrypt](https://hidekazu-konishi.com/entry/encryption_controls_by_service_aws_storage.html): Answering an auditor's one-line question about whether stored data is encrypted commits you to four different statements about four services, and at least one of them will not mean what the reader takes it to mean - covering what is on… - [Private Connectivity by Service on AWS Data Services - Which Endpoint Type Each Service Supports, What Private DNS Replaces, and Where the Policy Is Enforced](https://hidekazu-konishi.com/entry/private_connectivity_by_service_data_services.html): Creating a VPC endpoint to a data service on AWS gets three different answers depending on the service, and this reference lays them out service by service - which configurations carry the data itself through the endpoint, namely Amazon… - [Where the AWS Primary Sources Disagree About Launch Dates - Which Document Systems Carry a Date, What Shapes the Disagreements Take, and Which Date to Record](https://hidekazu-konishi.com/entry/where_aws_sources_disagree_on_launch_dates.html): Writing one launch date into a document looks like a five minute job until a colleague's copy of the same fact turns out to be one day apart, and both of them link to an official AWS page - covering which AWS document systems carry a date… - [What Consistent Means, Service by Service on AWS - The Same Word, a Different Contract, and What You Must Not Carry Across](https://hidekazu-konishi.com/entry/what_consistent_means_across_aws_services.html): An IAM role is created, the call that creates it returns success, and the very next attempt to assume that role comes back as a permissions error that disappears on its own a few minutes later - covering why the word consistent is… - [Falsehoods AWS Architects Believe About Regions and Availability Zones - What the Names Do Not Tell You, What Opting In Changes, and Which Zones Are Not Availability Zones](https://hidekazu-konishi.com/entry/falsehoods_about_aws_regions_and_availability_zones.html): A subnet is shared between two accounts, both sides name us-east-1a, the configuration is exactly what was intended, and traffic still crosses an Availability Zone - covering why the name of an Availability Zone is an identifier that only… - [The AWS Credential Provider Chain Across SDKs and the CLI - What Each Link Supplies, Where the Order Differs by Language, and Why Precedence Is a Separate Mechanism](https://hidekazu-konishi.com/entry/aws_credential_provider_chain_across_sdks.html): What decides which identity an AWS SDK or the AWS CLI calls as is the credential provider chain, and the widely repeated summary that every SDK searches in the same order is contradicted by the primary sources themselves - what each link… - [Endpoint Resolution in the AWS SDKs and CLI - How One Region Name Becomes One URL, Which Layer Wins, and Why the Precedence Lists Do Not Match](https://hidekazu-konishi.com/entry/aws_sdk_endpoint_resolution.html): A call that carries nothing but a region name still arrives at a full URL, and what decides that URL is two separate stages rather than one - the levels of setting that are checked to pick a single endpoint value, and the resolution rules… - [Default Checksums and Data Integrity in Amazon S3 - What the SDK Computes, What S3 Stores, and Why the Default Algorithm Depends on Which SDK You Use](https://hidekazu-konishi.com/entry/amazon_s3_default_checksums_and_data_integrity.html): Uploading to Amazon S3 without naming a checksum still puts one on the wire, and which algorithm that is belongs to the SDK rather than to S3 - AWS CLI v2 and the C++ SDK send CRC64NVME while most of the others send CRC32, only four SDKs… - [What Can Be Made Public on AWS - Storage and Data, the Block Public Access Family, and What Each Switch Does Not Promise](https://hidekazu-konishi.com/entry/what_can_be_made_public_on_aws_storage_and_data.html): A cross-service inventory of the switches that open AWS storage and data resources to anyone, covering Amazon S3, Amazon EBS snapshots, AMIs, Amazon RDS and Amazon Aurora manual snapshots, SSM documents, AWS Secrets Manager secrets, and… - [Resource-Based Policies by Service on AWS - Where the Second Policy Lives, What It Can Say, and When It Is Required](https://hidekazu-konishi.com/entry/resource_based_policies_by_service_on_aws.html): A cross-service inventory of the policy that attaches to the resource itself, covering Amazon S3, Amazon EFS, Amazon DynamoDB, AWS Glue, AWS Backup, Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon Kinesis Data Streams, AWS Lambda,… - [Where the Logs Come From on AWS - Identity and the Control Plane, What Is On by Default, and What Is Not Recorded at All](https://hidekazu-konishi.com/entry/where_the_logs_come_from_identity_and_control_plane.html): An inventory of the sources that record identity and control plane activity on AWS, reading each one for the same four things - what it emits, whether it emits by default, which category or form the record takes, and what it structurally… - [Replication Topologies on Amazon Aurora MySQL - Multi-Source Channels, Delayed Replicas, and the Window You Build Yourself](https://hidekazu-konishi.com/entry/aurora_mysql_replication_topologies.html): Amazon Aurora MySQL 8.4.8 added multi-source replication and delayed replication, and reading them as two new settings misses what actually changes: the rollback target stops being something the service gives you and becomes something you… - [Amazon ECS Deployment Lifecycle - Early Success Criteria, Deferred Cleanup, and Managed Daemon Rollouts](https://hidekazu-konishi.com/entry/amazon_ecs_deployment_lifecycle.html): Amazon ECS early success criteria reads like a switch that makes deployments faster, and that reading loses the point: what moves is the definition of success, and cleanup moves out of the test, so this article follows when a rolling… - [Rolling Back an Amazon EKS Cluster Version - What Decides Eligibility, What Rollback Readiness Insights Do Not Decide, and Where the Primary Sources Disagree](https://hidekazu-konishi.com/entry/amazon_eks_cluster_version_rollback.html): Amazon EKS version rollback reads like a switch you reach for after an upgrade goes wrong, and that reading loses the point: whether the switch works at all was settled by the state the cluster was in before the upgrade started, so this… - [AWS Interconnect - What One Managed Object Replaces in Multicloud and Last Mile Connectivity](https://hidekazu-konishi.com/entry/aws_interconnect_multicloud_and_last_mile.html): AWS Interconnect is a family, not a product - the user guide states that AWS and the provider present the requested capacity to you as a single object called an interconnect, and this article works out what that object folds in and what… - [How Amazon S3 Files Keeps a Bucket and a File System in Sync - The Export Window, Close-to-Open Consistency, and Where the Losing Write Goes](https://hidekazu-konishi.com/entry/how_amazon_s3_files_synchronizes_with_a_bucket.html): S3 Files has two writable surfaces rather than one, and the Amazon S3 FAQ stacks strong read-after-write consistency on the object API, close-to-open consistency on the file system, and eventual consistency on the synchronization between… - [Certificate Distribution in Kubernetes with AWS Private CA - Issue, Request, Store, Consume, and the Layer Where Renewal Stops](https://hidekazu-konishi.com/entry/certificate_distribution_in_kubernetes_with_aws_private_ca.html): Why a certificate that cert-manager renewed on schedule can still take internal traffic down, split across the four layers a certificate passes through inside a cluster - the issuing layer where AWS Private CA guards the CA private key… - [AWS Security Defaults History - Block Public Access, Default Encryption, IMDSv2, and How Far Each Changed Default Reached](https://hidekazu-konishi.com/entry/aws_security_defaults_history.html): A timeline of the days AWS changed a security-related default, built only from primary sources, together with an account of how far each change actually reached - covering Amazon S3 Block Public Access and the disabling of ACLs for new… - [Sharing One GPU on Amazon EKS - Where the Split Is Declared, Where It Is Enforced, and What Each Method Leaves Shared](https://hidekazu-konishi.com/entry/sharing_one_gpu_on_amazon_eks.html): Why the same nvidia.com/gpu line can mean four different things and what each way of splitting a single GPU actually protects - time-slicing that divides turns while the user guide states it isolates neither memory nor compute, the… - [Synthetic Monitoring and Real User Monitoring on AWS - What a Canary Run Proves, What a Real Session Proves, and What Neither One Can Tell You](https://hidekazu-konishi.com/entry/synthetic_monitoring_and_rum_on_aws.html): What each half of AWS application monitoring can and cannot establish - what a CloudWatch Synthetics canary proves about a path it defined and probed itself, what a CloudWatch RUM app monitor proves about the sessions that actually… - [Continuous Profiling on AWS - Which Clock the Flame Graph Is Showing You, What Runtime Metrics Cannot Replace, and What Sampling Never Sees](https://hidekazu-konishi.com/entry/continuous_profiling_on_aws.html): How to read where time goes inside a production process, and where that reading goes wrong - the flame graph that carries two clocks, so the CPU view counts only RUNNABLE, BLOCKED, and NATIVE while the Latency view counts every state… - [Orchestrating Regional Failover with Amazon Application Recovery Controller Region Switch - What Plan Evaluation Checks, Which Region the Plan Runs From, and What a Green Status Does Not Guarantee](https://hidekazu-konishi.com/entry/regional_failover_orchestration_with_arc_region_switch.html): How ARC Region switch turns a switching runbook into a declaration that keeps being evaluated, and where that evaluation stops short - the plan, workflow, step, and execution block nesting where steps run in sequence and blocks inside a… - [PostgreSQL Autovacuum, Bloat, and Planner Statistics on Aurora and RDS - Why the Defaults Stop Being Enough, and What to Tune First](https://hidekazu-konishi.com/entry/postgresql_autovacuum_and_bloat_on_aurora_and_rds.html): A production database whose availability design is finished can still get slower, because what degrades is not the instance but what sits inside the tables. The Aurora PostgreSQL and RDS for PostgreSQL user guides put the cause in a… - [The Iceberg Catalog Layer on AWS - Catalog Federation, the REST Catalog API, and Scoped Credential Vending](https://hidekazu-konishi.com/entry/iceberg_catalog_layer_on_aws.html): Adopting Apache Iceberg is settled in most organizations, and the argument has moved to the catalog: which side is allowed to know where a table is. AWS answers that with catalog federation in the AWS Glue Data Catalog, but reading it as… - [Change Data Capture on AWS Beyond Zero-ETL - Logical Decoding, Streaming Connectors, and the Guarantees Each Capture Point Gives You](https://hidekazu-konishi.com/entry/change_data_capture_on_aws_beyond_zero_etl.html): When the destination is not Amazon Redshift or Amazon OpenSearch Service, and the work is steady-state operation rather than a migration, you end up building the layer that extracts changes and moves them yourself. The first thing to… - [Running VMware Workloads on AWS with Amazon EVS - What Carries Over, What the VPC Makes You Rebuild, and Who Installs VCF](https://hidekazu-konishi.com/entry/running_vmware_workloads_on_aws_with_amazon_evs.html): Amazon Elastic VMware Service runs VMware Cloud Foundation on EC2 bare metal instances inside your own VPC, which means the hypervisor layer carries over while the network beneath it becomes yours to design and maintain. This article sets… - [Running Windows Server Workloads on AWS - What Carries Over, Why the License Decides the Tenancy, and Which Path Into the Domain](https://hidekazu-konishi.com/entry/running_windows_server_workloads_on_aws.html): Windows Server has no License Mobility, so a license you carry over has to land on hardware dedicated to you alone, and it is counted by physical core rather than by vCPU. That single fact runs down through the whole design: eligibility… - [Data Pipeline Orchestration on AWS - What Carries Over, What the Runtime Makes You Rebuild, and Who Owns the Airflow Version](https://hidekazu-konishi.com/entry/data_pipeline_orchestration_on_aws.html): You can carry a DAG definition from a self-managed Apache Airflow into Amazon MWAA. What does not carry over is the environment those definitions need in order to run. The Airflow version comes under the version support policy of the… - [Workload Isolation Levels on Amazon EKS - Which Level You Stopped At, and What That Level Does Not Stop](https://hidekazu-konishi.com/entry/workload_isolation_levels_on_amazon_eks.html): Saying that tenants are isolated by containers says nothing on its own, because isolation on Amazon EKS comes in levels and the level you stopped at decides what you have not stopped. This article separates four of them and checks each… - [Detection Engineering on AWS - What a Custom Source Must Satisfy Before a Detection Can Be Written, and What the Detection Still Does Not See](https://hidekazu-konishi.com/entry/detection_engineering_on_aws.html): Collecting logs and being able to write a detection rule are two different jobs, and most environments stall in the gap between them. This article walks that gap on Amazon Security Lake and checks every step against the primary sources. A… - [Distributed Training Resilience on AWS - Where the Checkpoint Lives, How Far a Failure Sends You Back, and What Each Mechanism Requires](https://hidekazu-konishi.com/entry/distributed_training_resilience_on_aws.html): Why the number that matters after a training failure is not how many minutes the outage lasted but how many steps have to be recomputed, and why the answer is decided by where the state was sitting at the moment of the failure rather than… - [Programming AWS Trainium with the Neuron Kernel Interface - What the Compiler Stops Deciding for You, Which Names Do Which Jobs, and When Not to Descend](https://hidekazu-konishi.com/entry/programming_aws_trainium_with_the_neuron_kernel_interface.html): Why descending below the framework onto AWS Trainium is not a way to make a model faster but a transfer of decisions, and what the Neuron Kernel Interface hands over in exchange for what it asks - the four optimization stages the Neuron… - [Amazon EFS Performance Engineering - Throughput Modes, IOPS Ceilings, Per-Client Limits, and Burst Credits](https://hidekazu-konishi.com/entry/amazon_efs_performance_engineering.html): Why a slow Amazon EFS file system is never one problem - the official performance specification table read by column so that the throughput mode is shown to set the maximum IOPS and the per-client ceiling and not only the bandwidth, why… - [Batch and HPC Job Scheduling on AWS - Job Queues, Fair-Share Policies, Multi-Node Parallel Constraints, and the Slurm Route](https://hidekazu-konishi.com/entry/batch_and_hpc_job_scheduling_on_aws.html): What decides whether your jobs belong in a queue or on a cluster on AWS - why the answer is not scale but whether the job can make progress on a partial allocation, what actually holds the capacity in AWS Batch and why the unit is the… - [Sharding Aurora PostgreSQL with Limitless Database - Table Types, Shard Keys, Single-Shard Optimization, and What You Cannot Change Later](https://hidekazu-konishi.com/entry/sharding_aurora_postgresql_with_limitless_database.html): What is left to decide once Amazon Aurora PostgreSQL Limitless Database has divided your database for you - why the standard table is the default and nothing is distributed until you say so, why a standard table is bounded by one shard's… - [Apache Iceberg V3 on AWS - Which Engines Read Format Version 3, Where the Official Support Matrices Disagree, and What to Check Before You Upgrade](https://hidekazu-konishi.com/entry/apache_iceberg_v3_on_aws.html): What raising an Iceberg table from V2 to V3 asks of every engine that touches it - what the Apache Iceberg spec actually defines in version 3 and how each AWS page names a different subset of it, the two official AWS support matrices… - [Running Apache Spark on AWS - Where the Billed Clock Starts, What Gets Measured, and What You Rewrite When You Move a Job Between EMR Serverless, EMR on EKS, and AWS Glue](https://hidekazu-konishi.com/entry/running_apache_spark_on_aws.html): What moving the same Apache Spark job between Amazon EMR Serverless, Amazon EMR on EKS, and AWS Glue changes outside the script - where the billed interval starts on each one and why a custom image moves that starting point, why the API… - [Data Quality and Data Contracts on AWS - Where to Evaluate, What Each Failure Action Does to Your Data, and Why the Default Is to Keep Going](https://hidekazu-konishi.com/entry/data_quality_and_data_contracts_on_aws.html): What actually decides whether a failing data quality check stops your pipeline on AWS - why the On ruleset failure setting is not selected by default, so a job completes its run even when rules fail, what each of the three failure options… - [What AWS Transform Automates and What Stays Human - Agentic and Self-Directed Paths, the Handoff Points That Are Designed In, and What Functional Equivalence Testing Actually Covers](https://hidekazu-konishi.com/entry/aws_transform_automation_boundaries.html): Where to draw the line in a migration plan between the stretch an agent runs and the stretch your people own - what the rename to AWS Transform MGN actually changed and why rehost now has two paths that share one replication and cutover… - [Transaction Isolation on AWS Databases - Same Level Name, Different Anomalies, and the Statement That Changes Nothing](https://hidekazu-konishi.com/entry/transaction_isolation_on_aws_databases.html): What an application loses when it moves to another database engine, in the one dimension a row-by-row validation cannot see - the three phenomena ANSI SQL-92 names and the two it does not, why write skew sits outside the standard's… - [Load Testing on AWS - Which Policy Actually Applies, Why the Load Generator Runs Out First, and What a One-Minute Metric Hides](https://hidekazu-konishi.com/entry/load_testing_on_aws.html): What binds before the system under test does, when a load test runs on AWS - the separate documents that govern it and why the Amazon EC2 Testing Policy turns out to be three paragraphs with no form in it, the asymmetry that makes iPerf… - [Life After Ingress NGINX on Amazon EKS - Where the Upstream and AWS Disagree About the Order of Migration, and What GatewayClass Actually Decides](https://hidekazu-konishi.com/entry/life_after_ingress_nginx_on_amazon_eks.html): Ingress NGINX was archived, and what that ended is the maintenance rather than the operation - which leaves the deadline for moving off it to each cluster, and leaves the harder questions unanswered. This article works through the three… - [Gang Scheduling and Dynamic Resource Allocation on Amazon EKS - Why One Half of the Vocabulary Is Still Alpha, and What Decides Which Device Allocation Path You Get](https://hidekazu-konishi.com/entry/gang_scheduling_and_dynamic_resource_allocation_on_amazon_eks.html): A distributed job that is Running and not progressing is the same failure in three places: seven of eight ranks land and hold accelerators, a higher-priority job evicts part of the group, or one device on a node fails and the whole node… - [eBPF on Amazon EKS - What Loads Into Your Nodes, When a Network Policy Starts Enforcing, and Where the Coverage Stops](https://hidekazu-konishi.com/entry/ebpf_on_amazon_eks.html): Writing a NetworkPolicy in Amazon EKS does not put the decision anywhere near the API server. An eBPF program on the Pod's veth interface makes it, from BPF maps in the kernel, and AWS's own primary source says the map, not the YAML,… - [Hardening GitHub Actions for AWS Deployments - Workflow Permissions, Untrusted Triggers, Action Pinning, and What the Trust Policy Cannot Catch](https://hidekazu-konishi.com/entry/hardening_github_actions_for_aws_deployments.html): The workflow file that deploys to AWS holds production write privilege and gets read less closely than the application code. This article works from the side of that one line, and for each measure it separates what the measure prevents… - [Policy Engines Compared - What IAM, Cedar, Rego, and Kyverno Do When Nothing Matches, When an Input Is Missing, and When the Engine Never Answers](https://hidekazu-konishi.com/entry/policy_engines_compared.html): Four systems are all called policy engines, and the same word deny promises something different in each. This article compares evaluation models rather than languages, starting from the fact that the four do not sit at the same layer:… - [Speculative Decoding and Draft Models on AWS - Acceptance Rates, Which Methods Preserve the Output Distribution, and What the Managed Draft Model Takes Away](https://hidekazu-konishi.com/entry/speculative_decoding_and_draft_models_on_aws.html): Every source says speculative decoding costs you nothing in quality, and that sentence is doing different work in different documents. What is guaranteed follows from the verification rule, not from how the draft gets made - rejection… - [LLM Weight Quantization on AWS - Weight-Only and Activation Formats, What Each Costs in Accuracy, and When the Platform Quantizes for You](https://hidekazu-konishi.com/entry/llm_weight_quantization_on_aws.html): You picked an open-weight model, it does not fit, and the format names line up without telling you what each one gives up. Weight-only quantization buys memory bandwidth while the matrix multiply still runs at the original precision,… - [Zero-ETL Integrations on AWS - The Source and Target Matrix Across Amazon Redshift, AWS Glue, and Amazon OpenSearch Service](https://hidekazu-konishi.com/entry/zero_etl_integrations_on_aws.html): Zero-ETL on AWS is not one feature but three lineages split by whether the data moves at all, and the matrix of sources against targets stops in two places that the source lists never show you - a self-managed database can only replicate… - [Heterogeneous Database Migration on AWS - Schema Conversion, Full Load with CDC, Data Validation, and a Cutover You Can Reverse](https://hidekazu-konishi.com/entry/heterogeneous_database_migration_on_aws.html): Moving a commercial database onto an open source engine on AWS is a design problem about time rather than a tool problem, and the AWS DMS primary sources place the answers in three places that are easy to miss - schema conversion converts… - [Amazon MSK Broker Types and Storage Tiers - What Standard Brokers, Express Brokers, and MSK Serverless Each Take Away](https://hidekazu-konishi.com/entry/amazon_msk_broker_types_and_storage_tiers.html): Choosing how to build a cluster in Amazon MSK is choosing the range of work AWS takes over rather than choosing features, and the official division is not the three-way split you will see everywhere - MSK Provisioned holds two broker… - [AWS IAM Inbound Workload Federation - IAM Roles Anywhere, OIDC, and SPIFFE Converging on One Trust Policy Condition](https://hidekazu-konishi.com/entry/aws_iam_inbound_workload_federation.html): How a workload outside AWS obtains AWS credentials without a long-lived access key, and why all three entry paths end at the same boundary - what an IAM Roles Anywhere trust anchor narrows and what it does not, what… - [AI-Assisted Security Testing on AWS - What You Approve, What You Can Only Stop, and What the Findings List Hides by Default](https://hidekazu-konishi.com/entry/ai_assisted_security_testing_on_aws.html): How to design the receiving side for AWS Continuum and AWS Security Agent instead of treating an autonomous penetration test as a product demo - why the execution plan cannot be reviewed in advance and what replaces that approval, which… - [Amazon EKS Control Plane Configuration - What You Can Set, What Blocks the Way Back, and How Far Each Setting Reaches](https://hidekazu-konishi.com/entry/amazon_eks_control_plane_configuration_guide.html): How to treat the Amazon EKS control plane as a change-management problem rather than a parameter list - what the four configurable parameters reach and why none of them can be scoped to a namespace, the two independent conditions that… - [Disaggregated Prefill and Decode for LLM Serving on AWS - The KV Transfer, the Routing Threshold, and What Disaggregation Does Not Fix](https://hidekazu-konishi.com/entry/disaggregated_prefill_and_decode_llm_serving_on_aws.html): What splitting the two phases of LLM inference onto separate GPU pools actually adds to your operations - why requests below the routing threshold bypass the prefiller entirely, why both paths still end at the decoder and only the… - [Express Mode and Pre-Deployment Validation in AWS CloudFormation - What Completion Stopped Meaning, What Rollback Now Defaults To, and Which Checks Silently Skip](https://hidekazu-konishi.com/entry/aws_cloudformation_express_mode_and_pre_deployment_validation.html): What AWS CloudFormation express mode and pre-deployment validation changed is the meaning of a completed stack operation rather than its speed - what express mode stops waiting for and what it still preserves, why rollback is off by… - [OWASP Top 10 for Large Language Model Applications Mapped to AWS Controls - What Each Control Covers, Where It Stops, and What the Application Still Owns](https://hidekazu-konishi.com/entry/owasp_llm_top_10_mapped_to_aws_controls.html): A per-entry mapping from the OWASP Top 10 for LLM Applications (LLM01 to LLM10, Version 2026) to named AWS controls: how the identifiers were renumbered between the 2025 and 2026 editions, where Amazon Bedrock Guardrails, IAM, knowledge… - [AWS IAM AccessDenied Reference - Reading the Error and Locating the Deciding Statement](https://hidekazu-konishi.com/entry/aws_iam_access_denied_reference.html): A reverse index from the wording of an AWS access denied message to the place to look next: every context clause AWS documents for the eight policy types, how explicit and implicit denials read differently, when a policy ARN is appended… - [Amazon EKS Capabilities - Managed Argo CD, ACK, and kro, and What Changes When the Controllers Move Off Your Cluster](https://hidekazu-konishi.com/entry/amazon_eks_capabilities_argo_cd_ack_and_kro.html): What the managed Argo CD, AWS Controllers for Kubernetes, and kro capabilities take over from a self-managed EKS platform and what they constrain in return - where the controllers run, the two halves of IAM and Kubernetes RBAC, the… - [Software Supply Chain Security on AWS - Signing, Attestation, and Admission Control](https://hidekazu-konishi.com/entry/software_supply_chain_security_on_aws.html): What it takes to prove that a container image came from your own build on AWS and to enforce that proof before it runs - the chain of trust from dependency intake through admission, what Amazon ECR managed signing automates and what it… - [AI Bill of Materials on AWS - Discovering Models, Agents, and External Endpoints](https://hidekazu-konishi.com/entry/ai_bill_of_materials_on_aws.html): How to answer what AI is running in your organization by discovering assets from the running environment instead of trusting a self-declared catalog - the three discovery paths behind the AWS Security Hub AI inventory, what each of them… - [Zero-Downtime Database Change on RDS and Aurora - Blue/Green Deployments, Upgrades, and Rollback Design](https://hidekazu-konishi.com/entry/zero_downtime_database_change_on_rds_and_aurora.html): A design guide to applying changes to Amazon RDS and Amazon Aurora with the shortest possible write-stop window: choosing a method by the kind of change, how blue/green deployments create and synchronize the green environment, the… - [AWS Service Lifecycle States - Maintenance, Sunset, Full Shutdown, and What Each One Takes Away](https://hidekazu-konishi.com/entry/aws_service_lifecycle_states_reference.html): A reference for the three lifecycle states AWS defines for services and features: what Maintenance, Sunset, and Full Shutdown each take away across new onboarding, existing use, new features, support, and deployed resources; where the… - [AWS Lambda Managed Instances - Capacity Providers and the Multi-Concurrency Trap](https://hidekazu-konishi.com/entry/aws_lambda_managed_instances_design_guide.html): A design guide for AWS Lambda Managed Instances that treats multi-concurrency as the primary gate, covering capacity providers as a trust boundary, the two execution environment knobs, runtime-specific thread safety, asynchronous scaling,… - [Surviving Forced Maintenance on AWS - Retirements, Grace Periods, and Health-Driven Operations](https://hidekazu-konishi.com/entry/surviving_forced_maintenance_on_aws.html): A cross-service reference for the maintenance AWS applies to resources that are already running: the notify, grace, and enforce shape shared by EC2 scheduled events, RDS pending maintenance actions, Fargate task retirement, and managed… - [VPC Encryption Controls - Auditing and Enforcing Encryption in Transit](https://hidekazu-konishi.com/entry/vpc_encryption_controls_in_transit.html): A guide to demonstrating that no unencrypted traffic exists inside a Region with Amazon VPC Encryption Controls: the encryption layers, the flow log encryption-status field and how to read it, the API that names blocking resources, the… - [OpenTelemetry-Native Observability on AWS - OTLP Ingestion, PromQL, and the X-Ray SDK Transition](https://hidekazu-konishi.com/entry/opentelemetry_native_observability_on_aws.html): A migration guide for teams already running CloudWatch: how OTLP ingestion and PromQL change the backend, how the OTLP resource, scope, and datapoint hierarchy flattens into prefixed PromQL labels, the ingestion and query limits that… - [How Elastic Load Balancing Scales - Scaling Rate, Capacity, and Load Balancer Capacity Unit Reservation](https://hidekazu-konishi.com/entry/how_elastic_load_balancing_scales.html): A design guide to preparing Elastic Load Balancing for a traffic spike: why scaling rate and total capacity are separate problems, the three distinct problems hidden behind the word pre-warming, how Load Balancer Capacity Unit reservation… - [The Boundaries of the AWS Global Network - Autonomous Systems, Partitions, and What a Private Path Does Not Guarantee](https://hidekazu-konishi.com/entry/boundaries_of_the_aws_global_network.html): A definitional guide to what an AWS network path does and does not guarantee: reachability on the AWS global network, transport protection named by layer, authorization by policy, autonomous systems and peering, partitions as a hard… - [AWS IAM Outbound Identity Federation - Issuing Short-Lived Tokens from AWS to External Services](https://hidekazu-konishi.com/entry/aws_iam_outbound_identity_federation.html): A design guide to the direction of federation where AWS is the issuer: the account issuer URL and JWKS endpoints, every claim AWS STS puts in the token, the IAM actions and condition keys that bound issuance, how to implement verification… - [Designing for Spot Interruptions on AWS - Allocation Strategies, Rebalance Signals, and Graceful Degradation](https://hidekazu-konishi.com/entry/designing_for_spot_interruptions_on_aws.html): A design guide to running workloads on interruptible Amazon EC2 capacity: the rebalance recommendation and the two-minute interruption notice, capacity pools and allocation strategies, fleet composition, graceful draining, checkpointing… - [AWS Data Movement Decision Guide - DataSync, Transfer Family, Storage Gateway, and Data Transfer Terminal](https://hidekazu-konishi.com/entry/aws_data_movement_decision_guide.html): A decision guide for moving data into AWS that starts from your input conditions rather than service names, covering AWS DataSync, AWS Transfer Family, AWS Storage Gateway, and offline transfer with AWS Data Transfer Terminal, including… - [Elastic Fabric Adapter and the AWS Network Fabric - SRD, ENA Express, and Placement Group Design](https://hidekazu-konishi.com/entry/elastic_fabric_adapter_and_aws_network_fabric.html): A Level 400 guide to network design for tightly coupled workloads on AWS: what Scalable Reliable Datagram changes, how EFA and ENA Express differ in programming model and reach, cluster, partition, and spread placement group constraints,… - [Chaos Engineering on AWS with AWS Fault Injection Service - Experiment Design, Stop Conditions, and Safety Rails](https://hidekazu-konishi.com/entry/chaos_engineering_on_aws_with_fault_injection_service.html): A Level 400 design guide to chaos engineering on AWS with AWS Fault Injection Service, covering steady state and hypothesis design, the prerequisites that gate a first injection, experiment templates, blast radius control, stop conditions… - [AWS Systems Manager Fleet Operations at Scale - Patch Manager, State Manager, Automation Runbooks, and Session Manager](https://hidekazu-konishi.com/entry/aws_systems_manager_fleet_operations_guide.html): A Level 300 guide to operating EC2 and hybrid fleets with AWS Systems Manager: the three conditions that make a node managed, what a private subnet actually needs before patching works, patch baselines and the reboot defaults that… - [Amazon CloudWatch Alarm Design and Alert Fatigue - Composite Alarms, Anomaly Detection, Metric Math, and Metric Cardinality](https://hidekazu-konishi.com/entry/amazon_cloudwatch_alarm_design_guide.html): A Level 300 guide to Amazon CloudWatch alarm design and alert fatigue: classifying what deserves to page a human, alarm evaluation semantics including the evaluation range and the missing-data default, static thresholds and percentile… - [AWS Private CA Hierarchy Design - Root and Subordinate CAs, Revocation, Short-Lived Mode, and mTLS on ALB](https://hidekazu-konishi.com/entry/aws_private_ca_hierarchy_design_guide.html): A Level 300 guide to private PKI design on AWS: the CA properties that cannot be changed after creation, root and subordinate CA structure with path length and validity constraints, certificate templates and issuance paths, CRL and OCSP… - [AWS Nitro Enclaves and Confidential Computing on AWS - Attestation, PCR Measurements, and KMS Condition Keys](https://hidekazu-konishi.com/entry/aws_nitro_enclaves_and_confidential_computing.html): A Level 400 guide to AWS Nitro Enclaves: the isolation model and its threat model, how an enclave image is built and measured, the attestation document structure, binding keys to code with the kms:RecipientAttestation condition keys, key… - [Amazon EBS Performance Engineering - Volume Types, io2 Block Express, Snapshot Initialization, and Multi-Attach](https://hidekazu-konishi.com/entry/amazon_ebs_performance_engineering_guide.html): A design guide to Amazon EBS performance - the three layers that bound it, how each volume type derives its IOPS and throughput, instance-side EBS bandwidth and burst windows, queue depth and I/O sizing, why a volume created from a… - [Amazon FSx Family Decision Guide - Choosing Between Lustre, NetApp ONTAP, OpenZFS, and Windows File Server](https://hidekazu-konishi.com/entry/amazon_fsx_family_decision_guide.html): A decision guide for the Amazon FSx family that starts from your own input conditions - existing storage estate, required protocols, identity model, performance shape, and availability target - and works through to the deployment types… - [AWS IAM Access Analyzer Deep Dive - External, Internal, and Unused Access Analyzers with Custom Policy Checks in CI](https://hidekazu-konishi.com/entry/aws_iam_access_analyzer_deep_dive.html): A design guide to IAM Access Analyzer - how the external, internal, and unused access analyzers differ in what they read and emit, how the zone of trust decides whether service control policies and resource control policies are folded… - [IPv6-First VPC Design on AWS - IPv6-Only Subnets, DNS64 and NAT64, and Dual-Stack Migration](https://hidekazu-konishi.com/entry/ipv6_first_vpc_design_on_aws.html): A Level 300 guide to IPv6-first VPC design on AWS: IPv6 CIDR and IPAM address planning, IPv6-only versus dual-stack subnets, egress-only internet gateway routing, DNS64 and NAT64, security group and network ACL design, a dated service… - [Amazon EKS Pod Identity and IRSA Decision Guide - Workload Identity Design, Trade-offs, and Migration Paths](https://hidekazu-konishi.com/entry/amazon_eks_pod_identity_and_irsa_decision_guide.html): A decision guide for Amazon EKS workload identity that compares EKS Pod Identity and IAM roles for service accounts, states when IRSA is still the right choice, and covers least-privilege role design, cross-account patterns, staged… - [AWS KMS Envelope Encryption and Data Key Caching Patterns - Design Decisions for the AWS Encryption SDK and Multi-Region Keys](https://hidekazu-konishi.com/entry/aws_kms_envelope_encryption_and_data_key_caching_guide.html): A design guide to envelope encryption on AWS - how data keys are generated and destroyed, what encryption context is actually for, choosing between SSE-KMS and the AWS Encryption SDK, when data key caching is safe and what it costs in… - [Cell-Based Architecture and Shuffle Sharding on AWS - Blast Radius Reduction Patterns for Large-Scale Workloads](https://hidekazu-konishi.com/entry/cell_based_architecture_and_shuffle_sharding_on_aws.html): A Level 400 implementation guide to cell-based architecture and shuffle sharding on AWS, covering cell design, partition keys, quota-bound cell sizing, cell router options on Route 53, API Gateway, and CloudFront, per-cell deployment and… - [AWS End-of-Support and EOL Reference - Lambda, EKS, RDS and Aurora, ElastiCache, and OpenSearch Service](https://hidekazu-konishi.com/entry/aws_end_of_support_and_eol_reference.html): AWS End-of-Support and EOL Reference: a single-page, officially sourced reference of end-of-support, deprecation, and end-of-life (EOL) dates across AWS Lambda runtimes, Amazon EKS Kubernetes versions, Amazon RDS and Aurora engine… - [AWS Backup Data Protection and Governance - Backup Plans, Vault Lock, and Cross-Account Copy Design](https://hidekazu-konishi.com/entry/aws_backup_data_protection_and_governance_guide.html): A Level 300 guide to governing the AWS Backup foundation: backup plan and lifecycle design, Vault Lock governance and compliance modes, cross-account and cross-Region copy under KMS constraints, logically air-gapped vaults with… - [AWS Config Rules and Conformance Packs - Compliance Detection, Automated Remediation, and Organizations Deployment](https://hidekazu-konishi.com/entry/aws_config_rules_conformance_packs_and_remediation_guide.html): A Level 300 guide to AWS Config for multi-account governance: recording scope and frequency, managed and custom rules (AWS Lambda vs CloudFormation Guard), evaluation modes, automated remediation with SSM Automation, conformance packs,… - [How Amazon S3 Achieves Strong Consistency and Durability - The Architecture Behind the Guarantees](https://hidekazu-konishi.com/entry/how_amazon_s3_achieves_consistency_and_durability.html): An under-the-hood, Level 400 look at how Amazon S3 delivers strong read-after-write consistency and eleven nines of durability, using only AWS-published sources: the metadata cache, per-object ordering, and the witness read barrier;… - [How AWS Lambda Execution Environments Work - Firecracker MicroVMs, Lifecycle Phases, and SnapStart Internals](https://hidekazu-konishi.com/entry/how_aws_lambda_execution_environments_work.html): An under-the-hood explanation of how AWS Lambda execution environments work, covering Firecracker microVM isolation, the Init, Restore, Invoke, and Shutdown lifecycle phases, cold starts, and SnapStart internals, using only officially… - [Sakura Cloud for AWS Users - Service Mapping, Terminology, and Design Differences](https://hidekazu-konishi.com/entry/sakura_cloud_for_aws_users.html): A mapping guide to Sakura Cloud for engineers who already think in AWS terms - how Amazon EC2, Amazon VPC, Amazon S3, Elastic Load Balancing, Amazon Route 53, Amazon CloudFront, Amazon RDS, AWS IAM, AWS KMS, Amazon CloudWatch, and Amazon… - [Sakura Cloud Overview for Global Engineers - Services, Zones, APIs, and How It Complements Your Cloud Architecture](https://hidekazu-konishi.com/entry/sakura_cloud_overview.html): A first, systematic English introduction to Sakura Cloud, the public cloud from SAKURA internet Inc. - its services, zones, APIs, and how it complements an AWS or multi-cloud architecture. - [Vector Database Selection on AWS - OpenSearch, Aurora pgvector, MemoryDB, and S3 Vectors with Index Algorithm Internals](https://hidekazu-konishi.com/entry/aws_vector_database_selection_and_index_internals.html): A Level 300 guide to selecting a vector database on AWS for RAG, semantic search, and semantic caching. It compares Amazon OpenSearch Service and OpenSearch Serverless, Amazon Aurora PostgreSQL with pgvector, Amazon MemoryDB, and Amazon… - [Event-Driven Serverless Architecture on AWS - Building Resilient Workflows with API Gateway, Lambda, EventBridge, Step Functions, and DynamoDB](https://hidekazu-konishi.com/entry/event_driven_serverless_architecture_on_aws.html): A hands-on Level 400 guide to building one resilient event-driven serverless architecture on AWS with API Gateway, Lambda, EventBridge, SQS, SNS, Step Functions, and DynamoDB - covering idempotency, the saga pattern, dead-letter strategy,… - [Amazon ECS on Fargate Microservices Architecture Guide - Service Connect, Auto Scaling, Deployments, and Data-Tier Integration](https://hidekazu-konishi.com/entry/amazon_ecs_fargate_microservices_architecture_guide.html): A Level 400 implementation guide to microservices on Amazon ECS and AWS Fargate: an ALB fronting frontend, orders, and payments services connected by ECS Service Connect, with Application Auto Scaling, rolling and native blue/green… - [AWS Multi-Region Active-Active Architecture Guide - Global Data Replication, Routing, and Failover with Route 53, DynamoDB Global Tables, and Aurora Global Database](https://hidekazu-konishi.com/entry/aws_multi_region_active_active_architecture_guide.html): A Level 400 implementation guide to multi-Region active-active architecture on AWS - replicating data with DynamoDB global tables, Aurora Global Database, and S3 Cross-Region Replication, routing with Route 53 and Global Accelerator, and… - [AWS Real-Time Streaming Data Pipeline Architecture Guide - Ingestion, Processing, and Delivery with Kinesis, Managed Service for Apache Flink, and OpenSearch](https://hidekazu-konishi.com/entry/aws_streaming_data_pipeline_architecture_guide.html): A Level 400 walkthrough of a real-time streaming data pipeline on AWS: ingest with Amazon Kinesis Data Streams, process with Amazon Managed Service for Apache Flink, and deliver to Amazon S3 and OpenSearch, covering sharding,… - [AWS Data Lakehouse Architecture Guide - Building a Governed Lakehouse with S3, Lake Formation, Glue, Athena, and Apache Iceberg](https://hidekazu-konishi.com/entry/aws_data_lakehouse_architecture_guide.html): A Level 400 implementation walkthrough of a governed data lakehouse on AWS, wiring Amazon S3 zones, AWS Glue, AWS Lake Formation, Amazon Athena, and Apache Iceberg into one cataloged, fine-grained-secured, queryable system. - [AWS Zero-Trust Network Architecture Guide - Segmentation, Inspection, and Identity-Aware Access with VPC, Network Firewall, VPC Lattice, and Verified Access](https://hidekazu-konishi.com/entry/aws_zero_trust_network_architecture_guide.html): An implementation-focused Level 400 guide to building a zero-trust network architecture on AWS - combining multi-account segmentation, east-west and egress inspection with AWS Network Firewall, identity-aware service access with Amazon… - [AWS Observability Architecture Guide - End-to-End Tracing, Metrics, and Logs with CloudWatch, X-Ray, Application Signals, and OpenTelemetry](https://hidekazu-konishi.com/entry/aws_observability_architecture_guide.html): A Level 400 implementation guide to end-to-end observability on AWS: instrument a serverless-plus-container system with Amazon CloudWatch, AWS X-Ray, CloudWatch Application Signals, and the AWS Distro for OpenTelemetry (ADOT) to correlate… - [AWS Elastic Load Balancing Decision Guide - Choosing and Operating Application, Network, and Gateway Load Balancers](https://hidekazu-konishi.com/entry/aws_elastic_load_balancing_decision_guide.html): A decision and operations guide to AWS Elastic Load Balancing - choosing among Application, Network, and Gateway Load Balancers (and migrating off Classic) with a single decision flowchart, then going deep on how each type routes traffic… - [AWS Hybrid Connectivity Decision Guide - Direct Connect, Site-to-Site VPN, and Resilient On-Premises Integration](https://hidekazu-konishi.com/entry/aws_hybrid_connectivity_decision_guide.html): A decision and mechanics guide to connecting on-premises networks to AWS with AWS Direct Connect and AWS Site-to-Site VPN - how to choose between them, BGP path selection and failover, the official Direct Connect resiliency models, using… - [Amazon Route 53 DNS Architecture Guide - Routing Policies, Resolver, Private Hosted Zones, and Hybrid DNS](https://hidekazu-konishi.com/entry/amazon_route_53_dns_architecture_guide.html): A Level 300+ architecture guide to Amazon Route 53 - the eight routing policies and their internals, public and private hosted zones with split-horizon DNS, the in-VPC Resolver resolution path with inbound and outbound endpoints for… - [AWS Messaging and Event Routing Decision Guide - Choosing Between SQS, SNS, EventBridge, and Kinesis](https://hidekazu-konishi.com/entry/aws_messaging_and_event_routing_decision_guide.html): A decision-focused hub guide to AWS messaging and event routing - Amazon SQS, Amazon SNS, Amazon EventBridge, and Amazon Kinesis Data Streams - with a single decision flowchart, an at-a-glance comparison across queue, pub/sub, event bus,… - [Amazon API Gateway Decision Guide - REST, HTTP, and WebSocket APIs and Integration Patterns](https://hidekazu-konishi.com/entry/amazon_api_gateway_decision_guide.html): A decision-focused guide to Amazon API Gateway - choosing between REST, HTTP, and WebSocket APIs, picking an authorization method (IAM, Cognito, JWT, Lambda authorizer, mutual TLS), wiring integrations (Lambda proxy, AWS service, VPC… - [AWS Lambda Concurrency and Scaling Guide - Reserved and Provisioned Concurrency, Throttling, and Event Source Scaling](https://hidekazu-konishi.com/entry/aws_lambda_concurrency_and_scaling_guide.html): A decision-grade reference for AWS Lambda concurrency and scaling: the account concurrency limit and unreserved pool, reserved versus provisioned concurrency, the per-function scaling rate, 429 throttling across synchronous, asynchronous,… - [Amazon EKS Networking Deep Dive - VPC CNI, IP Address Management, Security Groups for Pods, and Pod Connectivity](https://hidekazu-konishi.com/entry/amazon_eks_networking_deep_dive.html): A Level 300+ deep dive into Amazon EKS networking - how the Amazon VPC CNI assigns Pod IP addresses with aws-node and ipamd, how to solve IPv4 address exhaustion with prefix delegation, custom networking, and IPv6, and how to segment Pods… - [Amazon DynamoDB Capacity and Global Tables Guide - Capacity Modes, Auto Scaling, Warm Throughput, and Multi-Region Design](https://hidekazu-konishi.com/entry/amazon_dynamodb_capacity_and_global_tables_guide.html): An operations-focused guide to Amazon DynamoDB capacity and multi-Region design: on-demand versus provisioned capacity modes, auto scaling, warm throughput and pre-warming, partition internals, adaptive capacity and split for heat,… - [Amazon RDS and Aurora High Availability Guide - Multi-AZ, Read Replicas, RDS Proxy, and Global Database Failover](https://hidekazu-konishi.com/entry/amazon_rds_and_aurora_high_availability_guide.html): A Level 300+ definitive guide to high availability for Amazon RDS and Amazon Aurora: Multi-AZ DB instances vs Multi-AZ DB clusters, read replicas, Aurora storage and replicas, RDS Proxy connection management, and Aurora Global Database… - [AWS Disaster Recovery Strategies Guide - Backup and Restore, Pilot Light, Warm Standby, and Multi-Site Active-Active](https://hidekazu-konishi.com/entry/aws_disaster_recovery_strategies_guide.html): A decision hub for AWS disaster recovery - choosing among Backup and Restore, Pilot Light, Warm Standby, and Multi-Site Active-Active from RTO and RPO requirements, with a decision flowchart, the data-plane failover principle, replication… - [Amazon S3 Security and Access Control Guide - Bucket Policies, IAM, Access Points, Block Public Access, and Encryption](https://hidekazu-konishi.com/entry/amazon_s3_security_and_access_control_guide.html): A Level 300+ guide to Amazon S3 security and access control: how S3 authorizes a request, IAM versus bucket policies, Block Public Access, access points, SSE-S3 / SSE-KMS / DSSE-KMS encryption and bucket keys, policy conditions,… - [AWS Secrets Manager and Parameter Store Decision Guide - Storing, Rotating, and Accessing Secrets and Configuration](https://hidekazu-konishi.com/entry/aws_secrets_manager_and_parameter_store_guide.html): A decision and architecture guide to AWS Secrets Manager and AWS Systems Manager Parameter Store - choosing between them, how secret rotation works as a four-step staging-label state machine, KMS envelope encryption, IAM and cross-account… - [AWS VPC Connectivity Decision Guide - VPC Peering, Transit Gateway, PrivateLink, VPC Lattice, and Cloud WAN](https://hidekazu-konishi.com/entry/aws_vpc_connectivity_decision_guide.html): A decision-focused hub guide to AWS VPC connectivity options - VPC Peering, Transit Gateway, PrivateLink, VPC Lattice, and Cloud WAN - with a single decision flowchart, an at-a-glance comparison of connecting networks versus exposing… - [AWS Step Functions JSONata and Variables Practical Guide - Modern Workflow Authoring Beyond JSONPath](https://hidekazu-konishi.com/entry/aws_step_functions_jsonata_and_variables_guide.html): A practitioner's guide to authoring AWS Step Functions workflows with JSONata and Variables: the QueryLanguage mixing rules, Arguments and Output, the Assign field and variable scope, a pattern cookbook, incremental JSONPath-to-JSONata… - [Amazon CloudFront Origin Architecture Guide - Origin Access Control, Origin Shield, Failover, and VPC Origins](https://hidekazu-konishi.com/entry/amazon_cloudfront_origin_architecture_guide.html): An origin-side architecture guide for Amazon CloudFront - how to conceal and protect origins with Origin Access Control (OAC) for Amazon S3, VPC origins for private ALB, NLB, and EC2, and secret custom headers for internet-facing load… - [Amazon S3 Vectors Design Decision Guide - When to Use It, When Not to, and Tiered Designs with Amazon OpenSearch Service](https://hidekazu-konishi.com/entry/amazon_s3_vectors_design_decision_guide.html): A definitive design decision guide to Amazon S3 Vectors: what the first cloud object storage with native vector support is actually good at, when not to use it based on the official limitations such as frequency-dependent latency,… - [AWS Lambda Durable Functions Practical Guide - Checkpoint and Replay Determinism and When to Use Step Functions Instead](https://hidekazu-konishi.com/entry/aws_lambda_durable_functions_practical_guide.html): A practical guide to AWS Lambda durable functions - how the checkpoint and replay execution model works, how to write replay-safe deterministic code with steps, waits, and callbacks, execution limits and version pinning, observability and… - [Amazon Aurora DSQL Design Decision Guide - Distributed SQL Between Amazon DynamoDB and Aurora PostgreSQL](https://hidekazu-konishi.com/entry/amazon_aurora_dsql_design_decision_guide.html): A design decision guide for Amazon Aurora DSQL - the serverless, PostgreSQL-compatible distributed SQL database with active-active multi-Region writes - covering its disaggregated architecture and optimistic concurrency control, the… - [AWS Networking Glossary - VPC, Transit Gateway, PrivateLink, and VPC Lattice Explained](https://hidekazu-konishi.com/entry/aws_networking_glossary.html): AWS Networking Glossary - 80 Terms Covering VPC, Transit Gateway, PrivateLink, VPC Lattice, Direct Connect, CloudFront, and Route 53. - [AWS Lambda Master Index - A Hub for Lambda Articles](https://hidekazu-konishi.com/entry/aws_lambda_master_index.html): A pillar hub for AWS Lambda that introduces the L.A.M.B.D.A. Fit Test, a six-axis decision framework for choosing Lambda over Fargate, EC2, and App Runner, and curates this site's deep dives on cold-start mitigation, the Lambda timeline,… - [AWS Database Glossary - RDS, Aurora, DynamoDB, DocumentDB, and Neptune Explained](https://hidekazu-konishi.com/entry/aws_database_glossary.html): AWS Database Glossary - the essential terms covering Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon DocumentDB, Amazon Neptune, Amazon Timestream, ElastiCache, MemoryDB, Keyspaces, QLDB, and the AWS database migration and integration… - [AWS Observability Glossary - CloudWatch, X-Ray, Application Signals, and OpenTelemetry Explained](https://hidekazu-konishi.com/entry/aws_observability_glossary.html): A reference glossary for AWS observability covering CloudWatch metrics, logs, and alarms; AWS X-Ray traces; CloudWatch Application Signals SLOs; OpenTelemetry on AWS (ADOT); and CloudWatch RUM, Synthetics, and Internet Monitor. Each entry… - [Amazon DynamoDB Master Index - A Hub for DynamoDB Design, Key Modeling, and Capacity Planning Articles](https://hidekazu-konishi.com/entry/amazon_dynamodb_master_index.html): A hub for DynamoDB articles on hidekazu-konishi.com: single table design, PK/SK/GSI/LSI key design, quorum model database comparison, and the DynamoDB Capacity Calculator tool, unified under the self-named DynamoDB Access Pattern Map… - [AWS Service Quotas - A Practical Cheat Sheet for Major AWS Services](https://hidekazu-konishi.com/entry/aws_service_quotas_practical_cheat_sheet.html): A single-page numeric reference of the AWS service quotas that production engineers, capacity planners, and SREs hit most often, covering major AWS services across compute, container, storage, database, network, AI/ML, integration,… - [AWS Postmortem Case Studies and Design Lessons](https://hidekazu-konishi.com/entry/aws_postmortem_case_studies_design_lessons.html): Reading four AWS public RCAs (S3 2017, Kinesis 2020, us-east-1 2021, Lambda 2023) and translating them into design lessons on blast radius, cells, and multi-region. - [DynamoDB Key Design Dictionary: PK/SK, GSI/LSI Selection, Hot Partition Avoidance, and Re-Keying Patterns](https://hidekazu-konishi.com/entry/amazon_dynamodb_key_design_gsi_lsi_dictionary.html): A reference dictionary of DynamoDB PK/SK design patterns, the GSI vs LSI decision matrix, hot partition avoidance via write/read sharding, and online re-keying procedures with boto3 examples and AWS Developer Guide citations. - [Route 53 Health Check and Failover - Common Pitfalls and Designs](https://hidekazu-konishi.com/entry/route_53_health_check_failover_pitfalls.html): A deep dive into Amazon Route 53 health checks and DNS failover - the 18% consensus rule, calculated checks, TTL caching, CloudWatch alarm integration, and resolver caching - with five common pitfalls, reproducible verification commands,… - [AWS Lambda Cold Start Mitigation Guide - Provisioned Concurrency, SnapStart, and Code-Level Techniques](https://hidekazu-konishi.com/entry/aws_lambda_cold_start_mitigation_guide.html): A decision-grade reference for designing AWS Lambda functions with acceptable cold-start behavior in production: lifecycle anatomy, per-language profiles for Python, Node.js, Java, Go, and .NET, Provisioned Concurrency and SnapStart… - [AWS Multi-Account Operational Patterns - Control Tower, Organizations, SCPs](https://hidekazu-konishi.com/entry/aws_multi_account_operational_patterns.html): Implementation patterns for AWS multi-account environments: AWS Organizations primitives, Control Tower mental model, OU design templates by organization size (small / medium / enterprise), SCP examples (region restriction, root deny,… - [VPC Design Review Checklist - CIDR, Subnets, Transit Gateway](https://hidekazu-konishi.com/entry/vpc_design_review_checklist.html): A comprehensive VPC design review checklist covering CIDR planning, subnet layout, NAT/IGW placement, Transit Gateway selection, endpoint strategy, and reachability analysis for AWS network architects. - [Amazon S3 Object Key Design Best Practices - Performance and Partitioning](https://hidekazu-konishi.com/entry/amazon_s3_object_key_design_best_practices.html): A practitioner-oriented guide to designing Amazon S3 object keys for modern data platforms: how the post-2018 per-prefix auto-scaling architecture works, naming conventions and encoding pitfalls, Hive-style versus project-style… - [CloudWatch Logs Insights Query Cookbook: Practical Recipes for Incident Investigation, Cost Analysis, and Security Audits](https://hidekazu-konishi.com/entry/cloudwatch_logs_insights_query_collection.html): Fifty copy-paste CloudWatch Logs Insights queries for incidents, cost, security audits, latency, and cross-account analytics across AWS log sources. - [Amazon DynamoDB Single Table Design Complete Guide - Access-Pattern-Driven Data Modeling Patterns](https://hidekazu-konishi.com/entry/amazon_dynamodb_single_table_design_guide.html): A practical guide to Amazon DynamoDB Single Table Design covering Partition Key, Sort Key, GSI, and concrete patterns (one-to-many, many-to-many, time-series, hierarchical, geospatial) with Python boto3 code, pagination, conditional… - [AWS PrivateLink and VPC Endpoints Complete Guide - Interface, Gateway, and Resource Endpoint](https://hidekazu-konishi.com/entry/aws_privatelink_vpc_endpoints_complete_guide.html): AWS VPC endpoints guide: Gateway, Interface (PrivateLink), Resource Endpoint. Pricing, DNS, endpoint policies, aws:Vpce* keys, XRPL, Hub-and-Spoke architecture. - [CloudFront KeyValueStore and Edge Functions Cookbook: A/B Testing, Geo Routing, Feature Flags, and Token Validation](https://hidekazu-konishi.com/entry/cloudfront_keyvaluestore_edge_functions_patterns.html): A practitioner's catalog of production patterns combining Amazon CloudFront KeyValueStore with CloudFront Functions and Lambda@Edge - A/B testing, geographic redirects, dynamic URL rewrites, allow-list authentication, feature flags,… - [AWS Step Functions Distributed Map - Practical Patterns and Pitfalls for Large-Scale Parallel Workloads](https://hidekazu-konishi.com/entry/aws_step_functions_distributed_map_guide.html): A practitioner's guide to AWS Step Functions Distributed Map: Item Source taxonomy (S3 Inventory, CSV, JSON, JSONL, Parquet), ItemBatcher and ResultWriter, MaxConcurrency tuning, five production patterns, Redrive for partial-failure… - [How to Add an Approval Flow to AWS Step Functions Workflow (AWS CodePipeline and Amazon EventBridge Edition)](https://hidekazu-konishi.com/entry/add_approval_flow_to_aws_step_functions_codepipeline_and_eventbridge.html): How to Add an Approval Flow to AWS Step Functions Workflow (AWS CodePipeline and Amazon EventBridge Edition). - [How to Add an Approval Flow to AWS Step Functions Workflow (AWS Systems Manager Automation and Amazon EventBridge Edition)](https://hidekazu-konishi.com/entry/add_approval_flow_to_aws_step_functions_ssm_and_eventbridge.html): How to Add an Approval Flow to AWS Step Functions Workflow (AWS Systems Manager Automation and Amazon EventBridge Edition). - [How to Add an Approval Flow to AWS Step Functions Workflow (AWS Systems Manager Automation Edition)](https://hidekazu-konishi.com/entry/add_approval_flow_to_aws_step_functions_ssm.html): How to Add an Approval Flow to AWS Step Functions Workflow (AWS Systems Manager Automation Edition). - [Deploy AWS Cloudformation Stack Cross-Region with AWS Lambda Custom Resources](https://hidekazu-konishi.com/entry/deploy_aws_cfn_stack_with_lambda_custom_resources.html): Deploy AWS Cloudformation Stack Cross-Region with AWS Lambda Custom Resources. - [Setting up DKIM, SPF, DMARC with Amazon SES and Amazon Route 53 - An Overview of DMARC Parameters and Configuration Examples](https://hidekazu-konishi.com/entry/setting_up_dkim_spf_dmarc_amazon_ses_route_53.html): Setting up DKIM, SPF, DMARC with Amazon SES and Amazon Route 53 - An Overview of DMARC Parameters and Configuration Examples. - [Summary of AWS Application Migration Service (AWS MGN) Architecture and Lifecycle Relationships, Usage Notes - Including Differences from AWS Server Migration Service (AWS SMS)](https://hidekazu-konishi.com/entry/aws_mgn_architecture_lifecycle_usage_notes.html): Summary of AWS Application Migration Service (AWS MGN) Architecture and Lifecycle Relationships, Usage Notes - Including Differences from AWS Server Migration Service (AWS SMS). - [Summary of Differences and Commonalities in AWS Database Services using the Quorum Model - Comparison Charts of Amazon Aurora, Amazon DocumentDB, and Amazon Neptune](https://hidekazu-konishi.com/entry/comparison_of_aws_databases_using_the_quorum_model.html): Summary of Differences and Commonalities in AWS Database Services using the Quorum Model - Comparison Charts of Amazon Aurora, Amazon DocumentDB, and Amazon Neptune. - [Host a Static Website configured with Amazon S3 and Amazon CloudFront using AWS Amplify CLI](https://hidekazu-konishi.com/entry/using_aws_amplify_cli_for_static_website_hosting.html): Host a Static Website configured with Amazon S3 and Amazon CloudFront using AWS Amplify CLI. - [Summary of AWS CloudFormation StackSets Focusing on the Relationship between the Management Console and API, Account Filter, and the Role of Parameters](https://hidekazu-konishi.com/entry/summary_of_aws_cloudformation_stacksets.html): Summary of AWS CloudFormation StackSets, with a focus on the relationship between the management console and API, account filter, and the role of parameters. ## AWS History and Timelines - [AWS History and Timeline regarding AWS SDKs and the AWS CLI - Overview, Major Versions, Lifecycle Phases, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_sdks_and_aws_cli.html): A timeline of the AWS SDKs, the AWS CLI, and AWS Tools for PowerShell from November 11, 2009, that gives the source of every date. It lists the general availability of each major version, the maintenance announcements, maintenance, and… - [AWS History and Timeline regarding AWS Certificate Manager - Overview, Domain Validation Methods, Features, Summary of Updates, and Introduction to ACM](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_certificate_manager.html): A timeline of AWS Certificate Manager (ACM) from its launch on January 21, 2016, that places what ACM added and what it removed side by side and names the source of every date: What's New, the User Guide's Document history, or the AWS… - [AWS History and Timeline regarding AWS Private Certificate Authority - Overview, CA Modes and Connectors, Features, Summary of Updates, and Introduction to AWS Private CA](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_private_ca.html): A timeline of AWS Private Certificate Authority from its launch as ACM Private CA, a feature of AWS Certificate Manager, on April 4, 2018, that gives the name each source used on that date and the source of every date. It follows the CA… - [OpenSSL Release and Support Timeline - The Release Strategy, LTS Releases, and Where the End-of-Support Dates Come From](https://hidekazu-konishi.com/entry/openssl_release_and_support_timeline.html): A timeline of OpenSSL versions from 0.9.1c on December 23, 1998, to 4.1, with the first release and the end of support of each version and the source of every date. It follows the LTS releases 1.0.2, 1.1.1, 3.0, and 3.5, the change to 13… - [AWS History and Timeline regarding AWS Support Plans - Overview, Plan Names and Tiers, Summary of Changes, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_support_plans.html): A timeline of AWS Support plan names from AWS Premium Support on April 16, 2008 to the end of Developer Support, Business Support, and Enterprise On-Ramp that the AWS Support User Guide schedules for January 1, 2027 (as of October 7,… - [AWS History and Timeline regarding AWS Health - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_health.html): A timeline of AWS Health from the AWS Personal Health Dashboard and the AWS Health API on December 1, 2016, with the Service Health Dashboard of 2008 as its prehistory, to the version catalog on October 2, 2026, in which each entry gives… - [AWS History and Timeline regarding AWS Trusted Advisor - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_trusted_advisor.html): A timeline of AWS Trusted Advisor from its launch on January 30, 2012, as a feature for AWS Premium Support Gold and Platinum customers, to the AWS Well-Architected Agent preview on October 1, 2026, in which each entry gives the name the… - [JWT and JOSE Standards History and Timeline - JWS, JWE, JWK, JWA, JWT, and How the Algorithm Registry Has Changed](https://hidekazu-konishi.com/entry/jwt_and_jose_standards_history_and_timeline.html): A primary-source timeline of the JWT and JOSE standards, from the first JSON Web Token draft on December 28, 2010, to the IETF Last Call for the draft that would make the none and RSA1_5 algorithms Deprecated. It keeps three clocks apart:… - [SSH and OpenSSH Algorithm History and Timeline - From SSH-1 to Post-Quantum Key Exchange, and How Algorithms Enter and Leave the Defaults](https://hidekazu-konishi.com/entry/ssh_and_openssh_algorithm_history_and_timeline.html): A primary-source timeline of how SSH algorithms entered and left the OpenSSH defaults, from the SSH 1.0 announcement in 1995 to OpenSSH 10.5, lined up with the RFCs and GitHub announcements. It traces the stages from announced to disabled… - [Go Release and Support Timeline - Release History, the Release Policy, and the Go 1 Compatibility Promise](https://hidekazu-konishi.com/entry/go_release_and_support_timeline.html): A primary-source timeline of Go releases from the 2009 open source release to Go 1.27, with the end-of-support dates of Go 1.8 to Go 1.25 derived from the release policy and the releases that will end Go 1.26 and Go 1.27. It explains that… - [Privacy Sandbox History and Timeline - The Third-Party Cookie Phase-Out Plan, Its Reversal, API Deprecation and Removal in Chrome, and What Remains Supported](https://hidekazu-konishi.com/entry/privacy_sandbox_history_and_timeline.html): A primary-source timeline of the Privacy Sandbox for the Web from the 2019 announcement to October 2026. It covers the plan to phase out third-party cookies in Chrome and its three delays, the shipping and renaming of the APIs, the 2024… - [AWS History and Timeline regarding AWS CloudHSM - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_cloudhsm.html): A timeline of AWS CloudHSM from its launch on March 26, 2013 to September 1, 2026, in which every entry carries the name the source used on that date. It follows the dedicated HSM appliance that AWS began calling CloudHSM Classic on… - [AWS History and Timeline regarding AWS Directory Service - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_directory_service.html): A timeline of AWS Directory Service from its launch on October 21, 2014 to July 30, 2026, in which every entry carries the name the source used on that date. It follows Simple AD and AD Connector, Microsoft AD (Enterprise Edition) from… - [AWS History and Timeline regarding Amazon Verified Permissions and Cedar - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_verified_permissions_and_cedar.html): A timeline of Amazon Verified Permissions and Cedar from the preview on November 28, 2022 to September 15, 2026, in which the dates from each source are kept apart. It follows the open-sourcing of Cedar on May 10, 2023, general… - [AWS History and Timeline regarding Amazon Connect - Overview, Functions, Features, Summary of Updates, and Introduction to Amazon Connect Customer](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_connect.html): A timeline of Amazon Connect from its launch on March 28, 2017 to September 16, 2026, in which every row is one of four kinds of event - added, regrouped, renamed, or ended - and carries the name the source used on that date. The Amazon… - [AWS Well-Architected Framework History and Timeline - Pillars, Best Practices, Lenses, and the Well-Architected Tool](https://hidekazu-konishi.com/entry/aws_well_architected_framework_history_and_timeline.html): A timeline of AWS Well-Architected from the first Framework whitepaper on October 1, 2015 to October 1, 2026, built from three revision tables - the Document revisions of the Framework whitepaper, of the AWS Well-Architected Tool user… - [AWS History and Timeline regarding AWS Direct Connect - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_direct_connect.html): A timeline of what was added to AWS Direct Connect, split into a physical lane, a logical lane, and an operational lane, and answering one question about the dedicated line - what in it is now closed to new use. Closing turns out to… - [AWS History and Timeline regarding Amazon EFS - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_efs.html): A timeline of what was added to Amazon EFS, split into a durability lane, a throughput lane, a tier lane, and a reach lane, and answering one question about the file system layer - is it shrinking. Measured across the four lanes the… - [AWS History and Timeline regarding AWS Elastic Beanstalk - Overview, Platforms, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_elastic_beanstalk.html): A timeline of AWS Elastic Beanstalk split into a service lane and a platform lane, answering one question about the platform as a service layer - does your environment have an expiration date, or does the service. Measured across the two… - [AWS Acquisitions History and Timeline - Which Companies Became Which Services, and What Remains Today](https://hidekazu-konishi.com/entry/aws_acquisitions_history_and_timeline.html): AWS and Amazon acquisitions traced to the offerings they became - which company names survived into service names and which disappeared without a trace, why the date precision differs from row to row because AWS published only a year for… - [AWS History and Timeline regarding Amazon FSx - Overview, File Systems, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_fsx.html): A timeline of the four Amazon FSx file systems - when each one became generally available and why the announcement date and the general availability date are the same for all four, how the family started with two file systems in 2018 and… - [VMware History and Timeline - Workstation, ESX, vSphere, VMware Cloud Foundation, and the Owners Along the Way](https://hidekazu-konishi.com/entry/vmware_history_and_timeline.html): Two timelines kept apart - one for the product line and one for the owner of the company - because they did not move together. When the first product shipped and why it was a desktop application, how two server products appeared in the… - [Computer Time and Leap Seconds History and Timeline - UT1, TAI, UTC, Leap Smearing, and Who Decides When a Second Is Added](https://hidekazu-konishi.com/entry/computer_time_and_leap_seconds_history.html): The second is defined by the CGPM, the procedure for inserting a leap second is written by the ITU-R in Recommendation TF.460-6, and each insertion is decided and announced by the IERS in Bulletin C, in a governance timeline of 46 dated… - [LLM Benchmark History and Timeline - Who Built Each Yardstick, Who Declared It Saturated, and What Replaced It](https://hidekazu-konishi.com/entry/llm_benchmark_history_and_timeline.html): A timeline of 62 dated rows, from BLEU in 2002 and ILSVRC to Humanity's Last Exam, Terminal-Bench 2.0 and ARC-AGI-3 in 2026, that records who proposed each LLM benchmark (GLUE, SuperGLUE, MMLU, HumanEval, GSM8K, BIG-bench, HELM,… - [AWS Service Quotas History and Timeline - From Service Limits to Quotas, the Defaults That Moved, and Where Each Change Was Recorded](https://hidekazu-konishi.com/entry/aws_service_quotas_history_and_timeline.html): A timeline of 22 dated rows, from the Amazon S3 request rate change in 2018 to the Lambda 90-minute timeout in 2026, that records when AWS replaced the word limits with quotas on 2019-06-24 and in whose words, when a default value moved… - [API Design Paradigms History and Timeline - XML-RPC, SOAP, REST, gRPC, GraphQL, and OpenAPI](https://hidekazu-konishi.com/entry/api_design_paradigms_history_and_timeline.html): None of the API design paradigms in this lineage has ended - SOAP 1.2 and WSDL 2.0 are still W3C Recommendations, W3C defines three retirement statuses and has applied none of them to either one, HTTP 1.1, 2 and 3 are current at the same… - [Microsoft Identity History and Timeline - Active Directory, AD FS, Microsoft Entra ID, and the Bridge Between Them](https://hidekazu-konishi.com/entry/microsoft_identity_history_active_directory_to_entra_id.html): What was renamed in 2023 was Azure Active Directory, not the on-premises Active Directory - Microsoft publishes a table of names the rename does not touch, and Windows Server Active Directory, AD DS and AD FS are all on it, in a timeline… - [AWS History and Timeline regarding AWS Transit Gateway - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_transit_gateway.html): AWS Cloud WAN did not replace AWS Transit Gateway - AWS states in its own FAQ that Transit Gateway is a Regional network connectivity hub, and the timeline shows three new attachment types and one new way of choosing a route arriving… - [Amazon Linux History and Timeline - Amazon Linux AMI, Amazon Linux 2, AL2023, AL2027, and the Clocks That Do Not Move Your Instances](https://hidekazu-konishi.com/entry/amazon_linux_history_and_timeline.html): A timeline of the four generations of Amazon Linux built only from officially published dates, covering the Amazon Linux AMI announced in 2010 and its end of life at the close of 2023, Amazon Linux 2 from its LTS candidate builds to an… - [CI/CD Tools History and Timeline - Trademarks, Acquisitions, Foundations, and Where the Build Runs](https://hidekazu-konishi.com/entry/cicd_tools_history_and_timeline.html): What has broken the lineage of CI/CD tools is ownership and governance rather than technology - the trademark that forced the Hudson rename in 2011 and where that mark actually ended up ten years later, how the machine that runs the build… - [Observability and OpenTelemetry History and Timeline - Competing Specifications, a Foundation Merger, and the Path to a Single Standard](https://hidekazu-konishi.com/entry/observability_and_opentelemetry_history.html): Instrumentation had to be rewritten twice because two vendor-neutral specifications stood side by side rather than because either was technically better - OpenTracing was an API under CNCF governance while OpenCensus was a Google-led… - [Terraform and OpenTofu History and Timeline - A License Clause, a Fork, a Foundation, and an Acquisition](https://hidekazu-konishi.com/entry/terraform_and_opentofu_history_and_timeline.html): Terraform and OpenTofu exist side by side because of a license clause rather than a technical difference - the announcement on August 10, 2023 changed nothing that was already shipping, the first BUSL artifact was a prerelease six days… - [AWS History and Timeline regarding AWS Shield and AWS Firewall Manager - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_shield_and_firewall_manager.html): A single ascending timeline of AWS Shield and AWS Firewall Manager, with every entry dated against a primary source - why one article covers both services, how AWS Shield's history is the list of what it can protect while AWS Firewall… - [AWS History and Timeline regarding AWS Network Firewall - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_network_firewall.html): A single ascending timeline of AWS Network Firewall, with every entry dated against a primary source - why the only inspection layer that sits inside a VPC has a history that runs along two axes, what the firewall became able to see and… - [AWS History and Timeline regarding AWS Glue - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_glue.html): A timeline of AWS Glue from its announcement on December 1, 2016 to version 6.0, read as three tracks that moved at different speeds - the job execution platform and its version lineage, where end of support and end of life are two… - [AWS History and Timeline regarding Amazon Athena - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_athena.html): A timeline of Amazon Athena from its general availability on November 30, 2016, read as three premises that the launch announcement put in a single paragraph and that each stopped holding in a different year - the data is in Amazon S3,… - [Cloud Data Warehouse History and Timeline - Separation of Storage and Compute, Open Table Formats, and Convergence with the Data Lake](https://hidekazu-konishi.com/entry/cloud_data_warehouse_history_and_timeline.html): A cross-vendor timeline of the cloud data warehouse as a category, from the BigQuery preview of May 19, 2010 to the Amazon Redshift RG instances of May 12, 2026, built from each vendor's own primary sources rather than from one vendor's… - [Post-Quantum Cryptography Standardization Timeline and Migration on AWS - From Algorithm Selection to Service Support](https://hidekazu-konishi.com/entry/post_quantum_cryptography_standardization_timeline.html): Post-quantum cryptography standardization timeline from the 2016 NIST call for proposals to FIPS 203, FIPS 204, and FIPS 205 and the ongoing selection rounds, combined with the current post-quantum support status of AWS services for… - [Email Authentication History and Timeline - SPF, DKIM, DMARC, and BIMI](https://hidekazu-konishi.com/entry/email_authentication_and_deliverability_history.html): Email authentication history and timeline covering SPF, DKIM, DMARC, ARC, and BIMI - from SMTP without sender authentication and the IETF MARID working group, through the Experimental and Standards Track publications of SPF and DKIM, the… - [TLS Certificate Ecosystem History and Timeline - Certificate Authorities, Automation, and Shrinking Certificate Lifetimes](https://hidekazu-konishi.com/entry/tls_certificate_ecosystem_history.html): TLS certificate ecosystem history and timeline covering certification authorities, the CA/Browser Forum Baseline Requirements, root program policies, domain control validation, Certificate Transparency, ACME automation, and revocation -… - [Major Security Vulnerabilities History and Timeline - Disclosure, Impact, and the Response Practices They Changed](https://hidekazu-konishi.com/entry/major_security_vulnerabilities_history_and_timeline.html): Major security vulnerabilities history and timeline covering Heartbleed, Shellshock, POODLE, DROWN, Log4Shell, Spring4Shell, and the xz Utils backdoor, with every row labeled by date type and linked to a primary source, together with the… - [AWS Retired Services History and Timeline - Discontinued, Sunset, and Closed-to-New-Customer Services](https://hidekazu-konishi.com/entry/aws_retired_services_history_and_timeline.html): A respectful, fact-based record of AWS services that have been discontinued, closed to new customers, or sunset, each with its official primary source and the distinction between announcement, new-customer-close, and end-of-service dates. - [AWS History and Timeline regarding Amazon OpenSearch Service - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_opensearch_service.html): AWS History and Timeline regarding Amazon OpenSearch Service with a focus on the Amazon Elasticsearch Service rename, the OpenSearch fork, OpenSearch Serverless, vector search, zero-ETL integrations, and the summary of updates. - [AWS History and Timeline regarding Amazon ElastiCache - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_elasticache.html): AWS History and Timeline regarding Amazon ElastiCache with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding AWS WAF - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_waf.html): AWS History and Timeline regarding AWS WAF with a focus on overview, functions, features, summary of updates, and introduction. - [AWS Custom Silicon History and Timeline - Nitro System, Graviton, Inferentia, Trainium, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_silicon.html): AWS Custom Silicon History and Timeline: a chronological reference of AWS-designed chips - the AWS Nitro System, AWS Graviton CPUs, and the AWS Inferentia and AWS Trainium machine learning accelerators - from the 2015 Annapurna Labs… - [Java Version and LTS Timeline - Release History, the LTS Model, and Support Across Distributions](https://hidekazu-konishi.com/entry/java_version_and_lts_timeline.html): A primary-source timeline of Java (JDK) releases, the move to a time-based six-month release cadence, Long-Term-Support (LTS) designations, and how support end dates differ across Oracle, Eclipse Temurin, Amazon Corretto, and other… - [Node.js Release and EOL Timeline - LTS Schedule, Active LTS and Maintenance, and End-of-Life Dates](https://hidekazu-konishi.com/entry/nodejs_release_and_eol_timeline.html): Node.js release and EOL timeline covering every major version from the io.js merge and Node.js 4 to the current lines - the LTS release model of odd-numbered short-lived versions versus even-numbered Long Term Support, the Current, Active… - [Python Version Support and EOL Timeline - Release Schedule, Support Policy, and End-of-Life Dates](https://hidekazu-konishi.com/entry/python_version_support_and_eol_timeline.html): Python version support and EOL timeline covering the Python release schedule, support policy, and end-of-life dates - from the Python 2.7 sunset through each Python 3.x release and end-of-life date, the move to an annual release cycle… - [Microsoft Azure History and Timeline - Major Milestones from Windows Azure to the Present](https://hidekazu-konishi.com/entry/microsoft_azure_history_and_timeline.html): Microsoft Azure history and timeline covering the platform's major milestones from the 2008 Windows Azure announcement to the present - commercial general availability, the rename to Microsoft Azure, infrastructure VMs, App Service, Azure… - [AWS History and Timeline regarding AWS Step Functions - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_step_functions.html): AWS History and Timeline regarding AWS Step Functions with a focus on overview, functions, features, summary of updates, and introduction. - [Sakura Internet History and Timeline - Hosting, Data Centers, Cloud, and AI Infrastructure Milestones](https://hidekazu-konishi.com/entry/sakura_internet_history_and_timeline.html): Sakura Internet history and timeline covering SAKURA internet Inc.'s evolution from a 1996 student venture and shared rental server, through data-center expansion, the Ishikari Data Center, Sakura Cloud, the Koukaryoku (高火力) GPU series,… - [AWS History and Timeline regarding AWS Global Infrastructure - Regions, Availability Zones, Summary of Expansions, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_global_infrastructure.html): AWS History and Timeline regarding AWS Global Infrastructure: a chronological reference of AWS Region launch dates and Availability Zones, from the first Region (US East, N. Virginia) in 2006 through Tokyo, China, Osaka, and the newest… - [AWS re:Invent History and Timeline - Keynotes, Major Announcements, and Evolution by Year](https://hidekazu-konishi.com/entry/aws_reinvent_history_and_timeline.html): AWS re:Invent history as a year-by-year timeline from the first re:Invent in 2012 to 2025 - each edition's dates, host city, format (in-person, virtual, hybrid), keynote pillars, and representative major announcements, with official AWS… - [AWS Certification History and Timeline - Exams, Updates, Retirements, and Introduction](https://hidekazu-konishi.com/entry/aws_certification_history_and_timeline.html): AWS Certification History and Timeline: a chronological reference of major AWS Certification milestones - new exams, exam-code revisions, renames, and retirements - from the 2013 launch of the AWS Certification program through the… - [Amazon EC2 Instance Types History and Timeline - Instance Families, Generations, and Introduction](https://hidekazu-konishi.com/entry/amazon_ec2_instance_types_history_and_timeline.html): Amazon EC2 Instance Types History and Timeline: a chronological reference of when each Amazon EC2 instance family and generation launched, from m1.small in 2006 through the AWS Nitro System, AWS Graviton, AWS Inferentia and Trainium,… - [AWS History and Timeline regarding Amazon EBS - Overview, Volume Types, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_ebs.html): AWS History and Timeline regarding Amazon EBS: a chronological reference of major announcements and GA milestones for Amazon Elastic Block Store, including Provisioned IOPS (io1), General Purpose SSD (gp2/gp3), io2 and io2 Block Express,… - [AWS History and Timeline regarding Amazon Redshift - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_redshift.html): AWS History and Timeline regarding Amazon Redshift with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon Kinesis - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_kinesis.html): AWS History and Timeline regarding Amazon Kinesis with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon SES - Overview, Functions, Features, Summary of Updates, and Introduction to Amazon Simple Email Service](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_ses.html): AWS History and Timeline regarding Amazon SES with a focus on overview, functions, features, summary of updates, and introduction to Amazon Simple Email Service. - [AWS History and Timeline regarding Amazon VPC - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_vpc.html): AWS History and Timeline regarding Amazon VPC with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon CloudWatch - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_cloudwatch.html): AWS History and Timeline regarding Amazon CloudWatch with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Elastic Load Balancing - Overview, Load Balancer Types, Features, Summary of Updates, and Introduction to ELB](https://hidekazu-konishi.com/entry/aws_history_and_timeline_elastic_load_balancing.html): AWS History and Timeline regarding Elastic Load Balancing (ELB) with a focus on overview, load balancer types, features, summary of updates, and introduction to the Classic, Application, Network, and Gateway Load Balancers. - [AWS History and Timeline regarding Amazon Aurora - Overview, Engines, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_aurora.html): AWS History and Timeline regarding Amazon Aurora with a focus on overview, engines, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon SNS - Overview, Functions, Features, Summary of Updates, and Introduction to Amazon Simple Notification Service](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_sns.html): AWS History and Timeline regarding Amazon SNS with a focus on overview, functions, features, summary of updates, and introduction to Amazon Simple Notification Service. - [AWS History and Timeline regarding AWS CloudTrail - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_cloudtrail.html): AWS History and Timeline regarding AWS CloudTrail with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon SageMaker - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_sagemaker.html): AWS History and Timeline regarding Amazon SageMaker with a focus on SageMaker Studio, JumpStart, Pipelines, Feature Store, Clarify, inference modes, and the 2024 SageMaker AI rename and SageMaker Unified Studio. - [AWS History and Timeline regarding AWS Organizations - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_organizations.html): AWS History and Timeline regarding AWS Organizations with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding AWS Identity and Access Management - Overview, Functions, Features, Summary of Updates, and Introduction to IAM](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_iam.html): AWS History and Timeline regarding AWS Identity and Access Management with a focus on overview, functions, features, summary of updates, and introduction to IAM. - [AWS History and Timeline regarding Amazon EC2 - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_ec2.html): AWS History and Timeline regarding Amazon EC2: a chronological reference of major announcements, GA milestones, instance family additions, purchasing options, the AWS Nitro System, AWS Graviton processors, EC2 Mac instances, and… - [AWS History and Timeline regarding Amazon DynamoDB - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_dynamodb.html): AWS History and Timeline regarding Amazon DynamoDB with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon CloudFront - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_cloudfront.html): AWS History and Timeline regarding Amazon CloudFront with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon EKS - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_eks.html): AWS History and Timeline regarding Amazon EKS with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon API Gateway - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_api_gateway.html): AWS History and Timeline regarding Amazon API Gateway with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding AWS CloudFormation - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_cloudformation.html): AWS History and Timeline regarding AWS CloudFormation with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon RDS - Overview, Engines, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_rds.html): AWS History and Timeline regarding Amazon RDS and Amazon Aurora with a focus on overview, engines, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon ECS - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_ecs.html): AWS History and Timeline regarding Amazon ECS with a focus on overview, functions, features, summary of updates, and introduction to Elastic Container Service. - [AWS History and Timeline regarding Amazon Cognito - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_cognito.html): AWS History and Timeline regarding Amazon Cognito with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding AWS Lambda - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_lambda.html): AWS History and Timeline regarding AWS Lambda with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon Simple Queue Service - Overview, Functions, Features, Summary of Updates, and Introduction to SQS](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_sqs.html): AWS History and Timeline regarding Amazon Simple Queue Service with a focus on overview, functions, features, summary of updates, and introduction to SQS. - [AWS History and Timeline regarding AWS Key Management Service - Overview, Functions, Features, Summary of Updates, and Introduction to KMS](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_kms.html): AWS History and Timeline regarding AWS Key Management Service with a focus on overview, functions, features, summary of updates, and introduction to KMS. - [AWS History and Timeline regarding Amazon EventBridge - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_eventbridge.html): AWS History and Timeline regarding Amazon EventBridge with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding Amazon Route 53 - Overview, Functions, Features, Summary of Updates, and Introduction](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_route_53.html): AWS History and Timeline regarding Amazon Route 53 with a focus on overview, functions, features, summary of updates, and introduction. - [AWS History and Timeline regarding AWS Systems Manager - Overview, Functions, Features, Summary of Updates, and Introduction to SSM](https://hidekazu-konishi.com/entry/aws_history_and_timeline_aws_systems_manager.html): AWS History and Timeline regarding AWS Systems Manager with a focus on overview, functions, features, summary of updates, and introduction to SSM. - [AWS History and Timeline regarding Amazon S3 - Focusing on the evolution of features, roles, and prices beyond mere storage](https://hidekazu-konishi.com/entry/aws_history_and_timeline_amazon_s3.html): AWS History and Timeline regarding Amazon S3 with a focus on the evolution of features, roles, and prices beyond mere storage. - [AWS History and Timeline - Almost All AWS Services List, Announcements, General Availability(GA)](https://hidekazu-konishi.com/entry/aws_history_and_timeline.html): AWS History and Timeline summarizing almost all AWS services with their announcement and General Availability(GA) dates, including major sub-services and renames. ## Security, Identity, and Cryptography - [When Five Network Perspectives Must Agree - What Geo Restriction, Geolocation Routing, and Allow-Listed Origins on AWS Do to Domain Validation](https://hidekazu-konishi.com/entry/when_five_network_perspectives_must_agree.html): What Section 3.2.2.9 of the CA/Browser Forum Baseline Requirements, scheduled to require at least five remote Network Perspectives from December 15, 2026, means for AWS settings, read as contract tables: CloudFront excludes… - [Enforcing an ML-DSA Policy on AWS - What kms:KeySpec and acm:KeyAlgorithm Can Stop, and What AWS Private CA and Imported Certificates Leave Open](https://hidekazu-konishi.com/entry/enforcing_an_ml_dsa_policy_on_aws.html): Which AWS condition keys can enforce an ML-DSA policy, read as contract tables from the Service Authorization Reference JSON: kms:KeySpec tells ML_DSA_44, ML_DSA_65, and ML_DSA_87 apart on CreateKey and 45 key resource actions, while… - [Post-Quantum Certificates for Public TLS Are Three Proposals That Disagree - Merkle Tree Certificates, Pure ML-DSA Chains, Composite Signatures, and Where AWS Fits](https://hidekazu-konishi.com/entry/post_quantum_certificates_for_public_tls.html): Three paths to post-quantum certificates for public TLS read as contract tables: Merkle Tree Certificates (Chrome's CQRP policy, a draft at Version 0.3.0, and an Apple announcement), pure ML-DSA chains (SC-106, a Draft pull request at the… - [NIST IR 8587 Mapped to AWS Controls - Signing Keys, Audience, Token Lifetimes, Revocation, and What the Settings Leave Open](https://hidekazu-konishi.com/entry/nist_ir_8587_mapped_to_aws_controls.html): The recommendations of NIST IR 8587 (final, 2026-09-15) on signing keys, token validation and audience, token lifetimes, revocation, monitoring, and logging, each tagged with its normative keyword (MUST, SHOULD, MAY, or lowercase), its… - [Which alg a JWT Library Accepts When You Do Not Say - Algorithm Allowlists, Key Binding, Unknown Keys in a JWKS, and RFC 8725](https://hidekazu-konishi.com/entry/which_alg_a_jwt_library_accepts.html): Which signature algorithms (alg) 14 JWT libraries accept when the caller passes nothing, read from the source code and documents of the versions current on 2026-10-17: whether the algorithm allowlist is required, optional with a library… - [What CAA Can and Cannot Stop When DNS Control Is the Weak Link - accounturi, validationmethods, Certificate Transparency, and What ACM Documents](https://hidekazu-konishi.com/entry/when_dns_control_is_the_weak_link_in_certificate_issuance.html): What a domain owner can narrow with CAA issue and issuewild and the RFC 8657 accounturi and validationmethods parameters, what each does not stop, and what is accepted when nothing is written, read from RFC 8659, RFC 8657, Baseline… - [What Watches the Queries in Aurora PostgreSQL and RDS for PostgreSQL - pgAudit, Database Activity Streams, and GuardDuty RDS Protection: What Each Sees, Where It Lands, and Who Can Read It](https://hidekazu-konishi.com/entry/what_watches_the_queries_in_aurora_and_rds_for_postgresql.html): What pgAudit, Aurora Database Activity Streams, and Amazon GuardDuty RDS Protection each see of the queries and logins in Aurora PostgreSQL and RDS for PostgreSQL; where each record lands and who can read it; what you configure; what each… - [IAM Authentication to DynamoDB, Keyspaces, and OpenSearch Service - Where Each Call Is Signed and Checked, What DAX and Fine-Grained Access Control Change, and What Revocation Reaches](https://hidekazu-konishi.com/entry/iam_authentication_to_dynamodb_keyspaces_and_opensearch_service.html): When Amazon DynamoDB, DAX, Amazon Keyspaces, Amazon OpenSearch Service domains, and OpenSearch Serverless check an IAM caller; who signs and on which identity the call runs; how the DAX cluster's service role, fine-grained access control,… - [How AWS Lambda Authenticates to Apache Kafka - Where Each Event Source Mapping Method Keeps the Credential, Who Refreshes the Token, and What the Brokers Must Trust](https://hidekazu-konishi.com/entry/how_aws_lambda_authenticates_to_apache_kafka.html): For each authentication method of the Lambda event source mapping for self-managed Apache Kafka (SASL/SCRAM, SASL/PLAIN, mTLS, OAuth 2.0 client credentials and JWT bearer, IAM_AUTH, IAM_OAUTHBEARER_AUTH) and for Amazon MSK, where the… - [Metadata Endpoints Across AWS Compute - What Code on EC2, ECS, EKS, and Lambda Can Ask the Platform, How Each Endpoint Checks the Caller, and Where Location and Credentials Come From](https://hidekazu-konishi.com/entry/metadata_endpoints_across_aws_compute.html): The EC2 Instance Metadata Service, the ECS task metadata endpoint version 4 and task role credential endpoint, the EKS Pod Identity Agent, and the Lambda metadata endpoint compared by address, discovery, caller check, returned location… - [How AWS Certificate Manager Issues Public Certificates - Managed, Exportable, and ACME: Where the Private Key Lives, Who Renews, Where It Can Be Attached, and What Gets Recorded](https://hidekazu-konishi.com/entry/acm_public_certificates_managed_exportable_and_acme.html): A row-by-row map of three paths for getting a public certificate from AWS Certificate Manager - managed, exportable (Export set to ENABLED), and ACME through an ACM ACME endpoint - across where the private key lives, who renews, where the… - [Moving AWS Certificate Manager Off Email Validation - The Announced Dates, What UpdateCertificateOptions Changes and Keeps, Finding Email-Validated Certificates, and Where the Documentation Has Not Caught Up](https://hidekazu-konishi.com/entry/moving_acm_certificates_off_email_validation.html): The dates on which AWS Certificate Manager stops offering and renewing email validation and where each date is stated, the UpdateCertificateOptions switch from email to DNS (the 72-hour switch window, the unchanged ARN, and where… - [When Public Certificates Stop Carrying clientAuth - Where AWS Sends or Accepts Client Certificates, and What Each Path Says About Extended Key Usage](https://hidekazu-konishi.com/entry/when_public_certificates_stop_carrying_client_authentication.html): The dates on which ACM, Let's Encrypt, and Google Trust Services stopped issuing certificates with the clientAuth extended key usage and the Chrome Root Program Policy clause behind them (v1.7 June 15, 2026 to v1.8 March 15, 2027), the… - [IAM Authentication to Databases, Caches, and Streams on AWS - Token Lifetime, What Revoking Access Does to Open Connections, and the Identity Inside the Service](https://hidekazu-konishi.com/entry/iam_authentication_to_databases_caches_and_streams_on_aws.html): Following the AWS documentation as of October 5, 2026, this article lines up, service by service, what IAM authentication to Amazon RDS and Aurora, RDS Proxy, ElastiCache, MemoryDB, Aurora DSQL, DocumentDB, Neptune, Amazon MSK, and… - [SSH Algorithms on AWS Endpoints - What Transfer Family, EC2, IAM, and Amazon Linux Accept, and What Breaks When the Other Side Drops the ssh-rsa Signature](https://hidekazu-konishi.com/entry/ssh_algorithms_on_aws_endpoints.html): Following the AWS, GitHub, and OpenSSH documentation, this article lines up, in a Contract Table, what each SSH endpoint on AWS says it accepts, within which policy, creation route, or OS setting that holds, and what the documentation… - [AWS Network Security Manager and AWS Firewall Manager - The Policy Model, What Happens to Existing Web ACLs, and Which Policy Wins When Both Apply](https://hidekazu-konishi.com/entry/aws_network_security_manager_and_firewall_manager.html): What users of AWS Firewall Manager need to know now that its replacement, AWS Network Security Manager, is generally available, laid out only as far as AWS states it: the five resources a Network Security Manager policy is built from… - [AWS Service Renames Reference - Old Names, New Names, and the Identifiers a Rename Leaves Behind](https://hidekazu-konishi.com/entry/aws_service_renames_reference.html): A reference to 25 renames of AWS services and major features in which AWS itself put the old and new names side by side, from Amazon EC2 Systems Manager in 2017 to AWS Transform MGN and Amazon Bedrock Agents Classic in 2026 - covering… - [Where the Logs Come From on AWS - The Network, What Each Source Actually Records, and Which Traffic Never Appears in Any of Them](https://hidekazu-konishi.com/entry/where_the_logs_come_from_network.html): Being told to go look at the logs stops you at a question that comes before which log to open, namely whether the line you are looking for is emitted by anything at all, and for the network on AWS the answer is an inventory of sixteen… - [AWS WAF AI Traffic Monetization - Returning HTTP 402, and What It Puts on the Request Path](https://hidekazu-konishi.com/entry/aws_waf_ai_traffic_monetization_publisher_side.html): AWS WAF AI traffic monetization is usually read as a way to charge AI bots, but the decisive part is that payment verification and settlement both run synchronously inside a single request, and this article traces what that puts on the… - [AWS Network and Application Protection Decision Guide - Where AWS WAF, AWS Shield, AWS Network Firewall, and AWS Firewall Manager Sit on the Request Path and What Each One Does Not Stop](https://hidekazu-konishi.com/entry/aws_network_and_application_protection_decision_guide.html): Why AWS WAF, AWS Shield, AWS Network Firewall, and AWS Firewall Manager are not alternatives to one another but four layers placed at different points on the same request path - where AWS's own documentation groups them as three plus one,… - [Passkeys and WebAuthn in Practice - Discoverable Credentials, Synced Versus Device-Bound Keys, and Why Account Recovery Decides the Design](https://hidekazu-konishi.com/entry/passkeys_and_webauthn_in_practice.html): The hard part of adding passkeys is not the cryptography - it is deciding where the key ends up and who is allowed to bring it back. This article works through the two WebAuthn ceremonies and the RP ID and origin binding that phishing… - [Identity-Aware Data Access on AWS - Propagating Workforce Identity from IAM Identity Center to Lake Formation and S3 Access Grants](https://hidekazu-konishi.com/entry/identity_aware_data_access_on_aws.html): How the identity of a signed-in person reaches the data layer on AWS without collapsing into a shared IAM role - what trusted identity propagation actually carries and why AssumeRole stays on the path, which services carry the identity… - [Amazon GuardDuty Extended Threat Detection Architecture - Attack Sequences, Runtime Monitoring, and Response Automation](https://hidekazu-konishi.com/entry/amazon_guardduty_extended_threat_detection_architecture.html): A design guide to Amazon GuardDuty Extended Threat Detection: how attack sequences correlate weak signals into a single Critical finding, which protection plans widen the correlation surface, when Runtime Monitoring is warranted, and how… - [AWS Security Incident Response Playbooks - First-Response Runbooks for Common Scenarios](https://hidekazu-konishi.com/entry/aws_security_incident_response_playbooks.html): Six first-response playbooks for common AWS security incidents - leaked IAM access keys, unintended S3 public exposure, unauthorized API activity and cryptomining, suspected EC2 compromise, suspicious IAM changes, and secrets committed to… - [AWS Organization Guardrails - Service Control Policies, Resource Control Policies, and Data Perimeter Design](https://hidekazu-konishi.com/entry/aws_organization_guardrails_scp_and_rcp.html): A Level 400 design guide to AWS Organization guardrails - how service control policies (SCPs) and resource control policies (RCPs) act as principal and resource ceilings, how they combine into a data perimeter, and how they are evaluated… - [AWS SaaS Multi-Tenant Architecture Guide - Tenant Isolation, Pool and Silo Models, Onboarding, and Metering](https://hidekazu-konishi.com/entry/aws_saas_multi_tenant_architecture_guide.html): A Level 400 implementation guide to multi-tenant SaaS on AWS: tenant isolation with pool, silo, and bridge models, IAM session tags and ABAC enforcement, Cognito tenant context, DynamoDB and KMS data isolation, Step Functions onboarding,… - [Real-Time and GraphQL API Architecture with AWS AppSync - Resolvers, Subscriptions, Authorization, and Conflict Resolution](https://hidekazu-konishi.com/entry/aws_appsync_graphql_realtime_api_architecture_guide.html): A Level 400 guide to building a real-time GraphQL API on AWS AppSync: resolvers, direct DynamoDB integration, WebSocket subscriptions, authorization modes, and conflict resolution. - [Secure Web Application Reference Architecture on AWS - Edge-to-Data Request Flow with CloudFront, WAF, ALB, Cognito, and RDS](https://hidekazu-konishi.com/entry/aws_secure_web_application_reference_architecture_guide.html): A Level 400 reference architecture that follows one authenticated request from the browser to the database across Amazon CloudFront, AWS WAF, an Application Load Balancer, Amazon Cognito, and Amazon RDS, focusing on the trust boundaries… - [Centralized Logging and Audit Architecture on AWS - Multi-Account Log Aggregation, Detection, and Query with CloudTrail, Config, Security Hub, and OpenSearch](https://hidekazu-konishi.com/entry/aws_centralized_logging_and_audit_architecture_guide.html): A Level 400 implementation guide to centralized logging and audit on AWS across an Organization - aggregating CloudTrail and AWS Config, making logs immutable in a dedicated Log Archive account with S3 Object Lock and KMS, centralizing… - [AWS VPC Network Troubleshooting Guide - Decision Trees for Security Groups, NACLs, Route Tables, and Flow Logs](https://hidekazu-konishi.com/entry/aws_vpc_network_troubleshooting_guide.html): A decision-tree guide to diagnosing Amazon VPC connectivity failures: the order a packet is evaluated by security groups (stateful) and network ACLs (stateless), route tables and longest-prefix match, DNS resolution through the Route 53… - [AWS IAM Glossary - Principal, Permission Boundary, SCP, RCP, ABAC, and Cedar Explained](https://hidekazu-konishi.com/entry/aws_iam_glossary.html): AWS IAM Glossary covering Identity and Principals, Policy Types, Policy Evaluation Logic, Authentication and STS, and Advanced/Ecosystem (ABAC, Cedar, Verified Permissions, IAM Roles Anywhere, IAM Access Analyzer) with concise definitions… - [IAM Policy Evaluation Logic Step-by-Step - Explicit Deny, RCP, SCP, Resource Policy, Identity Policy, Permission Boundary, and Session Policy](https://hidekazu-konishi.com/entry/iam_policy_evaluation_logic_step_by_step.html): A step-by-step walkthrough of the AWS IAM policy evaluation logic - introducing the self-named IAM Decision Diamond covering all seven evaluation stages (Explicit Deny, RCP, SCP, Resource-Based Policy, Identity-Based Policy, Permission… - [Cryptography Glossary for Engineers - AES, RSA, ECDSA, HKDF, Envelope Encryption, and TLS Explained](https://hidekazu-konishi.com/entry/cryptography_glossary_for_engineers.html): A reference glossary covering symmetric and asymmetric encryption, hashes and MACs, key derivation, AEAD, forward secrecy, post-quantum, key management and envelope encryption with AWS KMS, PKI and X.509, and TLS - each term linked to… - [AI Agent Defense in Depth Model (AIDDM) - WAF, Guardrails, Reasoning Sandbox, and Output Filter](https://hidekazu-konishi.com/entry/ai_agent_defense_in_depth_model.html): Introducing the AI Agent Defense in Depth Model (AIDDM), a mental model that splits production AI agent defense into Edge, Input, Reasoning, and Output layers with independent controls, observable per-layer KPIs, and cross-vendor… - [IAM Anti-Patterns - Real-World Mistakes and Their Root Causes](https://hidekazu-konishi.com/entry/iam_anti_patterns.html): A named catalog of 25 AWS IAM anti-patterns organized as a 5-layer model (Policy, Identity, Trust, Boundary, Scale) with a fixed Symptom / Root Cause / Risk / Correct Pattern / Detection structure per pattern, plus the IAM Decision… - [AWS Verified Permissions and Cedar Policy Language Complete Guide](https://hidekazu-konishi.com/entry/aws_verified_permissions_cedar_complete_guide.html): A single-page reference for AWS Verified Permissions and the Cedar policy language, covering the entity model, syntax, schema, identity source wiring with Amazon Cognito, end-to-end CDK and SDK walkthrough, multi-tenant SaaS / document… - [AWS VPC Lattice Complete Guide - Service-to-Service Networking Across VPCs and Accounts](https://hidekazu-konishi.com/entry/aws_vpc_lattice_complete_guide.html): A single-page reference for Amazon VPC Lattice covering Service Networks, Services, Listeners, Target Groups, Auth Policies, Resource Configurations, Resource Gateways, comparisons to PrivateLink and Transit Gateway, architecture… - [AWS Well-Architected - Practical Self-Audit Checklist by Pillar](https://hidekazu-konishi.com/entry/aws_well_architected_practical_checklist.html): A hands-on self-audit checklist that turns the six pillars of the AWS Well-Architected Framework - Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability - into Yes/No/N.A. workshop… - [AWS Tagging Strategy: Complete Guide for Operations, Automation, and Security](https://hidekazu-konishi.com/entry/aws_tagging_strategy_complete_guide.html): A complete guide to designing AWS tag standards from operations, automation, and security perspectives - naming conventions, mandatory tags, and auto-tagging via CloudFormation Hooks, SCP, Tag Policies, IaC default tags, AWS Config drift… - [Incident Triage Flowcharts - Network, DB, and Application Layer](https://hidekazu-konishi.com/entry/incident_triage_flowcharts_network_db_app.html): Five flowcharts for triaging the most common production symptoms - site is down, site is slow, data inconsistency, background job failure, and auth or permission issues - organized around the DNS / TCP / TLS / HTTP / application /… - [AWS IAM Identity Center Complete Setup Guide - Multi-Account SSO Design Patterns from Organization Structure to ABAC](https://hidekazu-konishi.com/entry/aws_iam_identity_center_setup_guide.html): End-to-end practitioner's guide to AWS IAM Identity Center (formerly AWS SSO): organization-instance setup, identity source selection, Permission Set design, IaC automation with CloudFormation and Terraform, ABAC with session tags,… - [Amazon Cognito Federation Complete Implementation Guide - Google, Apple, Microsoft, OIDC, and SAML](https://hidekazu-konishi.com/entry/amazon_cognito_federation_implementation_guide.html): A step-by-step implementation guide for Amazon Cognito User Pool federation with Google, Sign in with Apple, Microsoft Entra ID, generic OIDC, and SAML 2.0, covering OAuth flows, attribute mapping, Lambda triggers, and token revocation. - [AWS CloudFormation Templates and AWS Lambda Custom Resources for Associating AWS Certificate Manager, Lambda@Edge, and AWS WAF with a Website on Amazon S3 and Amazon CloudFront Cross-Region](https://hidekazu-konishi.com/entry/aws_cfn_acm_lambdaedge_waf_s3_cloudfront.html): AWS CloudFormation Templates and AWS Lambda Custom Resources for Associating AWS Certificate Manager, Lambda@Edge, and AWS WAF with a Website on Amazon S3 and Amazon CloudFront Cross-Region. ## Software Engineering and Developer Practices - [Internal Developer Platforms on AWS - What Narrows the Choices, What Enforces the Permissions, and What Still Gets Around Both](https://hidekazu-konishi.com/entry/internal_developer_platform_on_aws.html): Why listing a product in a catalog narrows the choices without narrowing anyone's permissions, and what actually holds a paved road in place - the administrator guide sentence stating that without a launch constraint end users launch with… - [Event-Driven Architecture Anti-Patterns on AWS - Failure Modes, Root Causes, and How to Design Around Them](https://hidekazu-konishi.com/entry/event_driven_architecture_anti_patterns_on_aws.html): A failure catalog of event-driven architecture anti-patterns on AWS - infinite event loops, ordering myths, missing idempotency, retry storms, poison messages, dead-letter black holes, and fan-out without backpressure - each grounded in… - [Regex Master Course - Interactive Recipes by Job Function](https://hidekazu-konishi.com/entry/regex_master_course_interactive_recipes.html): Single-pass regex curriculum from mental model and core syntax through lookarounds, ReDoS, and engine differences, with cookbook recipes for input validation, log parsing, code hygiene, and security pattern detection. - [Practical Git Techniques - Rebase, Worktree, Hooks, and Partial Clone for Mid-Level Engineers](https://hidekazu-konishi.com/entry/git_advanced_techniques_rebase_worktree_hooks.html): A practitioner's guide to mid-level Git techniques: rebase strategies (interactive, --onto, autosquash, rerere), git worktree for parallel branches, client-side hooks (pre-commit, commit-msg, pre-push), partial clone and sparse checkout… - [Indie Dev Guide: From Domain Acquisition to Live Site with AWS Route 53, S3, CloudFront, and ACM](https://hidekazu-konishi.com/entry/indie_dev_domain_setup_to_deploy_guide.html): A complete walkthrough for indie developers covering domain selection, registration on Amazon Route 53, an Origin Access Control-protected Amazon S3 origin, ACM certificate issuance in us-east-1, an Amazon CloudFront distribution with… - [VSCode Extensions and Keybindings - Complete Guide by Use Case](https://hidekazu-konishi.com/entry/vscode_extensions_keybindings_complete_guide.html): A complete-by-use-case guide to Visual Studio Code extensions, settings.json templates, and keybindings.json patterns for engineers who already use VS Code daily but want to go past the defaults. Covers the universal must-have extensions,… - [Software Design Principles in Practice - SOLID, DDD, Clean Architecture](https://hidekazu-konishi.com/entry/software_design_principles_in_practice.html): A practical walk-through of SOLID, DDD, and Clean Architecture using before/after TypeScript code, including the failure modes and over-application traps the books rarely cover. - [Web Performance Checklist for Core Web Vitals - LCP, INP, and CLS](https://hidekazu-konishi.com/entry/web_performance_checklist_core_web_vitals.html): A field-validated checklist for optimizing Core Web Vitals on a static site, covering LCP / INP / CLS thresholds and sub-part decompositions, image optimization with AVIF and WebP, critical CSS, font loading, JavaScript strategy, HTTP/3… - [Architecture Decision Records: Templates and Operational Patterns for Teams That Actually Maintain Them](https://hidekazu-konishi.com/entry/architecture_decision_records_templates_and_operations.html): A working reference for ADR practice: Nygard, MADR, and Y-Statement formats compared on the same decision; storage and discoverability patterns; the four-state lifecycle; and seven failure modes most teams fall into. - [PWA Advanced Implementation Guide - Service Worker Cache Strategies, Push, and Background Sync](https://hidekazu-konishi.com/entry/pwa_advanced_implementation_guide.html): An in-depth implementation guide to PWAs covering Service Worker lifecycle, cache strategies (Network-First, Cache-First, Stale-While-Revalidate), Web Push with VAPID, Background Sync, and install prompt UX with vanilla JavaScript. - [Diagram Notation Selection — C4 vs PlantUML vs Mermaid](https://hidekazu-konishi.com/entry/diagramming_c4_plantuml_mermaid_selection_guide.html): A practical comparison of the C4 model, PlantUML, and Mermaid for "diagrams as code" - same toy system rendered three ways, renderer compatibility matrix, and a use-case decision matrix for engineers and tech leads. - [Comparing Terraform, AWS CDK, AWS SAM, and CloudFormation - A Practitioner's Guide to Mental Models, State Management, and Migration](https://hidekazu-konishi.com/entry/iac_tools_comparison_terraform_cdk_sam_cloudformation.html): A decision-grade reference for picking among Terraform, AWS CDK, AWS SAM, and AWS CloudFormation: mental models, where each tool keeps state, abstraction layers (CDK L1/L2/L3, Terraform modules, CFn nested stacks, SAM/SAR), side-by-side… - [Self-Hosted Static Site Analytics - A Privacy-First Implementation Guide](https://hidekazu-konishi.com/entry/static_site_analytics_self_hosted_privacy.html): A guide to moving off Google Analytics 4 onto self-hosted, cookieless analytics for static sites: Plausible and Umami on AWS, a DIY Lambda + DynamoDB pixel, server-side measurement techniques, and privacy policy wording aligned with GDPR… - [Japan AWS Top Engineer and Japan All AWS Certifications Engineer: Special Award for 6 Consecutive Years and The 6 Growth Principles](https://hidekazu-konishi.com/entry/japan_aws_top_engineer_all_certs_6years_6_growth_principles.html): Japan AWS Top Engineer and Japan All AWS Certifications Engineer: Special Award for 6 Consecutive Years and The 6 Growth Principles. - [AWS Amplify Features Focusing on Static Website Hosting - Relationship and Differences between AWS Amplify Hosting and AWS Amplify CLI](https://hidekazu-konishi.com/entry/aws_amplify_features_focusing_on_static_website_hosting.html): AWS Amplify Features Focusing on Static Website Hosting - Relationship and Differences between AWS Amplify Hosting and AWS Amplify CLI. - [Host a Static Website using AWS Amplify Hosting in the AWS Amplify Console](https://hidekazu-konishi.com/entry/using_aws_amplify_hosting.html): Host a Static Website using AWS Amplify Hosting in the AWS Amplify Console. - [Reasons for Continually Obtaining All AWS Certifications, Study Methods, and Levels of Difficulty](https://hidekazu-konishi.com/entry/obtaining_all_aws_certifications.html): Reasons for Continually Obtaining All AWS Certifications, Study Methods, and Levels of Difficulty. - [How to create a PWA(Progressive Web Apps) compatible website on AWS and use Lighthouse Report Viewer](https://hidekazu-konishi.com/entry/how_to_create_pwa_website_and_use_lighthouse.html): How to create a PWA(Progressive Web Apps) compatible website on AWS and use Lighthouse Report Viewer. ## Other Articles - [Install-Time Scripts by Package Manager - npm, pnpm, Yarn, Bun, Deno, pip, and uv: What Runs When You Install a Dependency, Since Which Version, and Where the Approval Is Recorded](https://hidekazu-konishi.com/entry/install_time_scripts_by_package_manager.html): A side-by-side look, by package manager and version, at whether dependency lifecycle scripts and native builds run by default at install time: pnpm 10.0.0 (2025-01-07), Yarn 4.14.0 (2026-04-16), pnpm 11.0.0 and its error on unreviewed… - [Trusted Publishing Beyond npm and PyPI - RubyGems, NuGet.org, crates.io, pub.dev, JSR, and Open VSX: Exchanged or Used Directly, What Trust Is Bound To, and What Each Registry Rejects](https://hidekazu-konishi.com/entry/trusted_publishing_beyond_npm_and_pypi.html): A side-by-side look at how RubyGems.org, NuGet.org, crates.io, pub.dev, JSR, and Open VSX accept a CI OIDC ID token for publishing: which registries exchange it for a short-lived credential (RubyGems.org; NuGet.org, whose temporary API… - [GitHub App Installation Tokens and Token Length and Format Assumptions - Where Validation Patterns, Storage, Proxies, and Log Redaction Hard-Code the Shape of a Token](https://hidekazu-konishi.com/entry/github_app_installation_tokens_and_token_length_assumptions.html): A check of where a pipeline hard-codes the length and format of a token, built from GitHub's own sources: GitHub App installation tokens, including the Actions GITHUB_TOKEN in the scope of the new format, moved from 40-character opaque… - [.NET Release and Support Timeline - STS and LTS Releases, the Move to Two-Year STS Support, and End-of-Support Dates](https://hidekazu-konishi.com/entry/dotnet_release_and_support_timeline.html): A primary-source timeline of .NET releases from .NET Core 1.0 to .NET 11, with the end-of-support date of each version and where that date is published. It explains Long Term Support (LTS) and Standard Term Support (STS) releases, why… - [Publishing npm and PyPI Packages Without Long-Lived Tokens - Trusted Publishing, Staged Publishing, and What Trusted Publishing Does Not Assert](https://hidekazu-konishi.com/entry/publishing_npm_and_pypi_packages_without_long_lived_tokens.html): A walk through npm and PyPI trusted publishing, following the npm docs, the GitHub Changelog, the PyPI docs, and PEP 740: what swapping a long-lived CI token for a short-lived credential issued in exchange for an OIDC ID token takes away,… - [LLM Evaluation Harness Settings Behind a Benchmark Score - Prompt Format, Few-Shot Examples, Answer Extraction, Agent Sandboxes, and What to Disclose Alongside the Number](https://hidekazu-konishi.com/entry/llm_evaluation_harness_settings_behind_a_benchmark_score.html): A walk through the settings behind one LLM benchmark number in lm-evaluation-harness v0.4.13, Inspect, the SWE-bench evaluation harness, and Harbor, following each harness's documentation and a one-question lm-eval run that shows the… - [Japanese and CJK Text Preprocessing for RAG - Tokenization, Normalization, and Chunk Boundaries](https://hidekazu-konishi.com/entry/japanese_and_cjk_rag_preprocessing.html): A specification-grounded guide to preprocessing Chinese, Japanese, and Korean text for RAG: Unicode normalization, lexical and subword tokenization, chunk boundaries, and keeping index-time and query-time processing in agreement. - [Agent Reliability Engineering Design Guide - Retries, Loop Detection, Timeout Budgets, and Human Escalation for AI Agents](https://hidekazu-konishi.com/entry/agent_reliability_engineering_design_guide.html): A vendor-neutral design guide for the reliability of the AI agent execution loop: termination conditions, step and token and time budgets, loop and stagnation detection, retry semantics, side-effect idempotency, layered timeout budgets,… - [LLM Output Verification Patterns - Grounding Checks, Self-Verification, Cross-Model Review, and Citation Enforcement](https://hidekazu-konishi.com/entry/llm_output_verification_patterns.html): A vendor-neutral map of LLM output verification organized by error type rather than by technique, covering structural, grounding, self-verification, external, and cross-model layers, and stating for each layer both what it catches and… - [LLM API Parameter Compatibility Reference - Anthropic, OpenAI, Google Gemini, and Amazon Bedrock](https://hidekazu-konishi.com/entry/llm_api_parameter_compatibility_reference.html): LLM API Parameter Compatibility Reference: a cross-provider map of request parameters - sampling, length and stop controls, system prompts, conversation structure, streaming, structured output, tool use, and reasoning controls - across… - [Protecting Your Family from Tech Support Scams and Phishing - A Practical Guide for the Family IT Helper](https://hidekazu-konishi.com/entry/protecting_your_family_from_tech_support_scams_and_phishing.html): A plain-language guide for the family IT helper on recognizing tech support scams, fake virus alerts, phishing and scam texts, remote-access and gift-card scams, AI voice scams, agreeing on family rules, setting up protections in advance,… - [Designing Websites for AI Agents - llms.txt, Structured Data, and Agent-Readable Web Practices](https://hidekazu-konishi.com/entry/designing_websites_for_ai_agents.html): A practical, primary-sourced guide to designing websites that AI agents can find, parse, and cite: robots.txt and AI crawler user-agents, sitemaps and feeds, the llms.txt proposal, JSON-LD structured data, agent-readable HTML semantics,… - [Sakura Internet Ishikari Data Center and Sustainable Cloud Design - Cold-Climate Cooling, Renewable Energy, and Choosing Infrastructure by Sustainability](https://hidekazu-konishi.com/entry/sakura_internet_ishikari_data_center_and_sustainable_cloud_design.html): Sakura Internet Ishikari Data Center and Sustainable Cloud Design: how the company's cold-climate data center in Hokkaido uses outside-air (free) cooling and, from 2023, 100% renewable electricity, with a vendor-neutral framework for… - [HTTP Security Headers Complete Reference - CSP, HSTS, COOP, COEP, Permissions Policy](https://hidekazu-konishi.com/entry/http_security_headers_complete_reference.html): A single-page reference for the complete set of HTTP security headers in production use on the modern web, covering CSP, HSTS, COOP, COEP, CORP, Permissions-Policy, Referrer-Policy, X-Frame-Options, X-Content-Type-Options, Set-Cookie… ## Interactive Browser Tools (Client-Side) - [Anthropic Tool Use Schema Builder and Validator Tool - Build and Validate Claude Function Calling Definitions](https://hidekazu-konishi.com/tools/anthropic_tool_use_schema_builder_validator_tool.html): Anthropic Tool Use Schema Builder and Validator Tool - Build and Validate Claude Function Calling Definitions. - [MCP Capability Inspector and Schema Validator Tool - Inspect tools, resources, and prompts and Flag Risky MCP Declarations](https://hidekazu-konishi.com/tools/mcp_capability_inspector_validator_tool.html): MCP Capability Inspector and Schema Validator Tool - Inspect tools, resources, and prompts and Flag Risky MCP Declarations. - [LLM Token Counter and Context Budget Planner - Estimate Tokens and Visualize Context Window Usage](https://hidekazu-konishi.com/tools/llm_token_counter_context_budget_planner_tool.html): LLM Token Counter and Context Budget Planner - Estimate Tokens and Visualize Context Window Usage. - [Prompt Caching Breakpoint Planner Tool - Plan cache_control Placement and Prefix Reuse](https://hidekazu-konishi.com/tools/prompt_caching_breakpoint_planner_tool.html): Prompt Caching Breakpoint Planner Tool - 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Scan QR codes from images or camera. All processing in your browser - no data sent to servers. - [UUID ULID Generator Tool - Generate and Decode UUID v4, v7 and ULID](https://hidekazu-konishi.com/tools/uuid_ulid_generator_tool.html): Free online UUID and ULID generator. Generate UUID v4, UUID v7, and ULID with batch generation and decode support. All processing in your browser - no data sent to servers. - [JSON Formatter Validator Tool - Online JSON Beautifier Minifier and Tree Viewer](https://hidekazu-konishi.com/tools/json_formatter_tool.html): Free online JSON formatter, validator, beautifier, minifier, and tree viewer. Format, validate, and minify JSON data with syntax error detection. All processing in your browser - no data sent to servers. - [Text Case Converter Tool - Free Online Text Transformation and Case Changer](https://hidekazu-konishi.com/tools/text_case_converter_tool.html): Free online text case converter. Transform text between UPPERCASE, lowercase, Title Case, camelCase, snake_case, kebab-case, and more. All processing in your browser - no data sent to servers. - [Unix Timestamp Converter Tool - Epoch Time and Date Converter with Timezone Support](https://hidekazu-konishi.com/tools/unix_timestamp_converter_tool.html): Free Unix timestamp converter tool. Convert between Unix epoch timestamps and human-readable dates instantly. Supports seconds, milliseconds, microseconds with multiple timezone display. All processing in your browser - no data sent to… - [Base64 Encoder Decoder Tool - Text and File Base64 Encoding with Data URI Support](https://hidekazu-konishi.com/tools/base64_encoder_decoder_tool.html): Base64 Encoder Decoder Tool - Text and File Base64 Encoding with Data URI Support. - [Password Generator Tool - Secure Random Password and Passphrase Generator with Strength Checker](https://hidekazu-konishi.com/tools/password_generator_tool.html): Free online password generator with cryptographically secure random generation. Create strong passwords and passphrases with entropy-based strength checker. All processing in your browser - no data sent to servers. - [Hash Generator Tool - Multi-Algorithm Hash Calculator with File Support](https://hidekazu-konishi.com/tools/hash_generator_tool.html): Hash Generator Tool - Multi-Algorithm Hash Calculator with File Support. - [Markdown HTML Converter Tool - Client-Side Parser and Free Online Converter](https://hidekazu-konishi.com/tools/markdown_html_converter_tool.html): Markdown HTML Converter Tool - Client-Side Parser and Free Online Converter. - [JavaScript CSS Minifier Tool - Free Online Code Minification and Compression](https://hidekazu-konishi.com/tools/javascript_css_minifier_tool.html): JavaScript CSS Minifier Tool - Free Online Code Minification and Compression. - [IP Range to CIDR Converter Tool - Free Online Network Calculator](https://hidekazu-konishi.com/tools/ip_range_to_cidr_tool.html): IP Range to CIDR Converter Tool - Free Online Network Calculator. - [AES Encryption Decryption Tool - Client-Side Crypto Cipher and Free Online Encryptor Decryptor](https://hidekazu-konishi.com/tools/aes_encryption_decryption_tool.html): AES Encryption Decryption Tool - Client-Side Crypto Cipher and Free Online Encryptor Decryptor. - [Free Website Speed Test Tool - Lighthouse and PageSpeed Insights Analysis](https://hidekazu-konishi.com/tools/website_speed_test.html): Free Website Speed Test Tool - Lighthouse and PageSpeed Insights Analysis. ## Optional - [Links - Link Kit and Resources](https://hidekazu-konishi.com/entry/links.html): Link to hidekazu-konishi.com using our link kit and resources. 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