Caching Roadmap

What is caching? Why is it used?

Trade-offs of caching (latency vs. consistency)

Different types of caches (content, page, data, query, etc.)

Server-side vs client-side caching

Least Recently Used (LRU), Least Frequently Used (LFU), Least Recently Updated (LRU), Time-To-Live (TTL), Random Replacement (RR) eviction policies

In-process, inter-process, remote inference caching

Cache expiration strategies (time-based, data-driven)

Cache coherence

Cache synchronization and write policies (write-through, write-around, write-back)

Introduction to Distributed Caching

Cache consistency in distributed systems

Distributed lock mechanisms

Cache partitioning and replication

Fault tolerance and availability

HTTP caching mechanisms (headers, cache-control directives)

Database caching (query caching, result caching)

Browser caching

Caching in microservices architectures vs monoliths

Mobile and edge caching

Cache sizing, hit rate analysis, cache warming

Sharding, monitoring and metrics, edge caching

Cache compression and serialization

Measuring cache performance with hit rate and latency

Cache optimization techniques

Handling misses and performance tradeoffs

Adaptive caching

Secure caching practices

Cache poisoning attacks and prevention

Privacy concerns in caching

Secure data eviction for encrypted caching systems

AI/ML for predictive caching and dynamic cache optimization

CDNs