schema-management
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
发现 lifestyle architecture patterns 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
Clear escalation procedures and paths for incident response
Comprehensive guide to caching strategies, cache layers, invalidation patterns, and implementation for improving application performance
Comprehensive disaster recovery planning and implementation for IoT infrastructure and systems
Comprehensive guide to identifying, analyzing, and documenting failure modes in distributed systems
Implementing event sourcing pattern for maintaining application state as a sequence of immutable events.
SSOT blueprint for creating consistent services: folder structure, required endpoints, dependency conventions, interface contracts, docs/testing/security/observability requirements
Zero-downtime patterns for production schema changes and large backfills, including expand/contract, batching, verification, and rollback strategies
Multi-layer caching patterns: in-memory (Redis/Memcached), CDN, HTTP caching, cache invalidation, cache warming, and cache stampede prevention
Multi-agent swarm coordination for large tasks
Implementing distributed transactions across microservices using the Saga pattern with choreography and orchestration approaches.
Meta-skill for designing, composing, and orchestrating other skills: skill discovery, dependency resolution, skill composition patterns, and skill orchestration
Implementing consumer-driven contract testing for microservices using Pact.
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
Kotlin/Spring Boot 3.x patterns - use for backend services, REST APIs, dependency injection, controllers, and service layers
Building resilience in IoT systems through controlled fault injection and failure testing
Metro DI for KMP - use for compile-time dependency injection, graphs, providers, and multi-module DI setup
N-version programming for critical implementations - generates N independent solutions and selects the best through comparison
Graceful degradation through cascading fallback strategies - ensures system always completes while maintaining acceptable functionality
Comprehensive guide to implementing robust retry logic, timeout handling, and backoff algorithms for resilient distributed systems
Structured approach to deprecating features, APIs, and systems with clear timelines and migration paths.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
API and system versioning strategies to enable evolution while maintaining backward compatibility.
Detecting and managing schema changes that can break data pipelines and downstream consumers.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。