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Cache stampede occurs when many requests hit the database due to a cache miss.

Cache breakdowns can overwhelm databases, but request coalescing solves this issue.

Caching helps applications respond faster by serving data from memory instead of hitting the database.

Cache invalidation is about knowing when to refresh cached data.

A CDN speeds up web applications by caching content closer to users.

Cache penetration occurs when requests for non-existent data overload the database.

The Cache-Aside Pattern speeds up data retrieval by using a cache to store frequently accessed data.

Distributed caching spreads data across multiple servers for better performance and reliability.

Cache eviction policies determine which data to remove when caches are full.

Keep-Alive allows reusing HTTP connections to improve efficiency and reduce overhead.

Redis is a fast in-memory data store used for caching and low-latency applications.

Optimizing Elasticsearch involves using filters, caching, and measuring performance.