kubernetes-platform-engineering
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
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Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
Comprehensive guide to delivery governance including quality gates, standards, compliance, and balancing governance with agility
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
Comprehensive guide to conducting blameless postmortems and learning from incidents to improve system reliability
Comprehensive guide to data retention policies, deletion workflows, and implementing GDPR/CCPA right to erasure across distributed systems.
Comprehensive guide to data lakehouse architecture combining data lake flexibility with data warehouse performance using Delta Lake, Iceberg, and Hudi
Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.
Comprehensive guide to handling enterprise security questionnaires, building standard response libraries, and streamlining the vendor assessment process
Comprehensive guide to GraphQL API design, schema design, resolvers, performance optimization, and security.
Implementing robust state management using finite state machines and statecharts with XState.
See the main Cloud Cost Models skill for comprehensive coverage of cost modeling and pricing strategies.
Checklist gate สำหรับ production release ครอบคลุม testing, documentation, rollback plan, และ stakeholder sign-off
Comprehensive guide to load balancing algorithms, health checks, and high-availability patterns.
Systematic planning and execution of system migrations including database migrations, platform changes, and technology stack transitions.
Comprehensive guide to identifying, analyzing, and documenting failure modes in distributed systems
Advanced patterns for building scalable multi-tenant SaaS applications.
Comprehensive guide to safe agent deployment strategies including canary releases, feature flags, kill switches, and automated rollback mechanisms
Data contracts สำหรับกำหนด schema, quality expectations และ SLAs ระหว่าง data producers และ consumers
Standardized development environment configuration including tools, IDE settings, and automation for consistent developer experience.
Event-driven design conventions: event envelope, naming, versioning, schema evolution rules, idempotency, ordering/partitioning, retry and dead-letter handling
Checklist สำหรับตรวจสอบและกำจัด bloat ใน context, prompt, และ response เพื่อลด token cost และเพิ่ม signal-to-noise ratio
Implementing error boundaries for graceful error handling and improved user experience in React applications.
Conventions for service configuration and environment variables: naming, precedence, validation at startup, secrets handling, environment detection, and documentation patterns
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