Amazon ElastiCache Caching Strategies

Amazon ElastiCache accelerates applications by serving frequently accessed data from in-memory caches. Effective caching can lower latency, reduce backend pressure, and improve scalability under peak demand.

Choosing Redis vs Memcached

• Redis: Rich data structures, persistence options, and advanced features
• Memcached: Simpler key-value cache for straightforward, high-speed caching

Pick based on feature needs, not only raw throughput.

Core Caching Patterns

• Cache-aside: Application loads from cache first, then source of truth
• Write-through: Write updates to cache and database together
• TTL-based caching: Controls staleness and memory usage

Avoiding Common Cache Problems

• Add jitter to TTLs to avoid thundering herds
• Use request coalescing to prevent duplicate cache misses
• Monitor hit rate, evictions, and memory fragmentation

Final Thoughts

Caching strategy is as important as cache technology. Start with cache-aside, measure impact, and evolve policies around real traffic behavior.