# 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: 2026-08-12. ## 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 - [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, and 2025-11-25 - and the 2026-07-28 release candidate, with each version's changes, the version negotiation… - [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, and 3.6 generations - the path from LaMDA, PaLM, and Bard, the… - [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 to the GPT-5 generation and the o-series reasoning models, the capability evolution (function calling, JSON mode, vision, voice and the Realtime API, reasoning, long… - [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 - 18 providers, 110+ 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 - [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 - [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 - [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 - [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 - [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 - 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All processing in your browser - no data sent to servers. - [JWT Encoder Tool - JSON Web Token Generator and Signer](https://hidekazu-konishi.com/tools/jwt_encoder_tool.html): JWT Encoder Tool - JSON Web Token Generator and Signer. - [JWT Decoder Tool - JSON Web Token Inspector and Debugger](https://hidekazu-konishi.com/tools/jwt_decoder_tool.html): JWT Decoder Tool - JSON Web Token Inspector and Debugger. - [YAML JSON Converter Tool - Bidirectional YAML and JSON Online Converter](https://hidekazu-konishi.com/tools/yaml_json_converter_tool.html): Free online YAML to JSON and JSON to YAML converter. Bidirectional conversion with validation and formatted output. All processing in your browser - no data sent to servers. - [QR Code Generator and Reader Tool - Create and Scan QR Codes Online](https://hidekazu-konishi.com/tools/qr_code_generator_reader_tool.html): Free online QR code generator and reader. Create QR codes from text, URLs, WiFi credentials, vCard contacts, and email. 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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. 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