redis-design

What problem does it solve?

This Skill helps teams design Redis data models and caching strategies that are consistent, cluster-friendly, and memory-efficient.

Core Features & Use Cases

• Key naming conventions and schemas that enforce predictable, environment-scoped keys.
• Hash tags for clustering: ensure related keys share tags to enable atomic operations within Redis clusters.
• Data structure guidance: select Hash, Set, Sorted Set, Stream, and other structures to optimize access patterns and memory usage.
• Cache patterns and TTL: apply cache-aside, write-through, and write-behind strategies with disciplined expiration to prevent memory bloat.
• Observability and security: include monitoring, alerts, ACLs, and TLS best practices for safe operations.

Quick Start

Define your Redis key schema using the {env}:{app}:{entity}:{id} format and apply hash tags for related keys to guarantee cluster-friendly operations.