java-cache-redis

What problem does it solve?

Redis caching playbook for Java backends providing cache-aside/read-through/write-through patterns, TTL strategy, stampede protection, and accurate invalidation/versioning to ensure correctness and performance.

Core Features & Use Cases

• Cache-aside / read-through / write-through / write-behind patterns with clear fallback to DB
• TTL strategy with jitter and negative caching to balance freshness and load
• Stampede prevention: singleflight, locks, and stale-while-revalidate strategies
• Key design: namespacing, versioning, and multi-tenant safety
• Invalidation strategies: explicit, time-based, and version-based for bulk-safe invalidation
• Observability: metrics, dashboards, and failure handling for Redis outages

Quick Start

Set up a production-ready Redis-backed cache with an explicit key spec, TTL policy, and stampede protection to accelerate read-heavy Java services.