Redis is the go-to solution for caching in web applications. Here are patterns for implementing effective caching strategies.
Basic Operations
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Cache-Aside Pattern
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Write-Through Cache
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Cache with Stampede Prevention
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Session Storage
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Rate Limiting
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Pub/Sub for Cache Invalidation
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Best Practices
Keys:
✓ Use consistent naming: type:id:field
✓ Keep keys short but descriptive
✓ Use colons as separators
✓ Avoid special characters
TTL:
✓ Always set TTL on cache entries
✓ Use shorter TTL for volatile data
✓ Consider cache warming for critical data
✓ Handle cache misses gracefully
Performance:
✓ Use pipelines for multiple operations
✓ Avoid KEYS in production (use SCAN)
✓ Monitor memory usage
✓ Use appropriate data structures
Conclusion
Redis caching significantly improves application performance. Use cache-aside for most cases, implement stampede protection for high-traffic scenarios, and leverage pub/sub for distributed invalidation. Monitor cache hit rates and adjust TTLs based on data volatility.