Cache is King - Learning Roadmap | Nemorize

✅ Caching Fundamentals & Trade-offs

• ⚪ The Cost-Benefit Analysis
  • ⚪ Performance vs. Consistency
  • ⚪ Memory and Storage Costs
  • ⚪ Debugging Complexity
• ✅ When Caching Makes Things Worse
  • ⚪ Cache Stampede Scenarios
  • ⚪ Over-Caching Low-Value Data
  • ⚪ Cache Synchronization Overhead

✅ Browser & Client-Side Caching

• ✅ HTTP Cache Headers
  • ⚪ Cache-Control Directives
  • ⚪ ETags and Validation
  • ⚪ Vary Header Strategy
• ✅ Service Workers & Advanced Patterns
  • ⚪ Cache-First Strategies
  • ⚪ Network-First with Fallback
  • ⚪ BFCache Optimization

✅ CDN & Edge Caching

• ⚪ Edge Cache Configuration
  • ⚪ Cache Key Design
  • ⚪ Geographic Distribution
• ⚪ Cache Invalidation & Purging
  • ⚪ Purge vs. Soft Purge
  • ⚪ Surrogate Keys and Tagging
  • ⚪ Cache Warming Strategies

✅ Application-Level Caching

• ✅ In-Memory Caching
  • ✅ LRU and Eviction Policies
  • ⚪ Result Memoization
• ✅ Distributed Cache Systems
  • ⚪ Redis Architecture
  • ⚪ Memcached Simplicity
  • ⚪ Cache Aside vs. Write-Through

✅ Database Query Caching

• ✅ Query Result Caching
  • ⚪ Cache Key Generation
  • ⚪ Partial Result Caching
• ⚪ Native Database Caches
  • ⚪ MySQL Query Cache
  • ⚪ PostgreSQL Shared Buffers

✅ Cache Invalidation & Consistency

• ⚪ Time-Based Invalidation
  • ⚪ Fixed vs. Sliding TTL
  • ⚪ Stale-While-Revalidate
• ⚪ Event-Driven Invalidation
  • ⚪ Database Triggers and Webhooks
  • ⚪ Message Queue Integration
  • ⚪ Versioned Keys Strategy

✅ Advanced Cache Patterns & Problems

• ✅ Cache Stampede Prevention
  • ⚪ Probabilistic Early Expiration
  • ⚪ Request Coalescing
  • ⚪ Lock-Based Refresh
• ✅ Distributed Cache Consistency
  • ⚪ Eventual Consistency Patterns
  • ⚪ Cache Replication Strategies
  • ⚪ Invalidation Broadcast