Caching, Workers, and Performance

Classifications / Reliability And Observability / Caching, Workers, and Performance

TRACK

Application performance under repeated work and bursts: cache authority and freshness, worker scheduling and failure control, load distribution, scaling, and evidence-driven diagnosis across the request path.

How can I keep a backend responsive under repeated work and bursts by choosing cache policies, worker controls, scaling boundaries, and performance evidence without hiding freshness or failure?

32 lessons

Continues to Backend Runtime, I/O, and Performance/ Capacity Planning and Performance Engineering/ In-Memory Data Systems and Redis

LESSONS

1. 001
   Cache Fundamentals and Core Patterns
   [TODO]
2. 002
   Redis as a Shared Caching Layer
   [TODO]
3. 003
   CDN and HTTP Caching Layers
   [TODO]
4. 004
   Cache Invalidation and Freshness Control
   [TODO]
5. 005
   Worker Pool Architecture
   [TODO]
6. 006
   Scheduling, Delayed Jobs, and Time-Based Work
   [TODO]
7. 007
   Rate Limiting and Backpressure for Workers
   [TODO]
8. 008
   Observability for Worker Systems
   [TODO]
9. 009
   Load Balancing Fundamentals
   [TODO]
10. 010
    Health Checks and Circuit Breakers
    [TODO]
11. 011
    Horizontal Scaling Patterns
    [TODO]
12. 012
    Zero-Downtime Deployments
    [TODO]
13. 013
    Cache Fundamentals - CPU to CDN
    [TODO]
14. 014
    Cache Eviction Policies - LRU, LFU, ARC
    [TODO]
15. 015
    MESI Protocol & Cache Coherence
    [TODO]
16. 016
    Cache Coherence at Scale - NUMA & Directory Protocols
    [TODO]
17. 017
    Redis Internals & Data Structures - Distributed Caching Foundation
    [TODO]
18. 018
    Memory Allocators in Production - jemalloc, Arenas & Fragmentation
    [TODO]
19. 019
    Consistent Hashing & Distributed Cache Coordination - Ring Algorithm
    [TODO]
20. 020
    Cache Invalidation Patterns - Write Strategies & Consistency
    [TODO]
21. 021
    CDN Fundamentals - Global-Scale Content Delivery
    [TODO]
22. 022
    Edge Functions - Compute at the CDN Edge
    [TODO]
23. 023
    Cache Purging Strategies - CDN Cache Invalidation
    [TODO]
24. 024
    CDN Optimization Techniques - Performance at Scale
    [TODO]
25. 025
    Performance Profiling - Finding Bottlenecks
    [TODO]
26. 026
    Flame Graphs - Visualizing Performance
    [TODO]
27. 027
    Performance Bottlenecks - Lock Contention & I/O Wait
    [TODO]
28. 028
    Optimization Case Studies - Real Production Systems REVIEW
    [TODO]
29. 029
    Cache Stampede Control and Request Coalescing
    [TODO]
30. 030
    Rate Limits, Token Buckets, and Shared Counters
    [TODO]
31. 031
    Worker Retry Semantics, Dead Letters, and Poison Jobs
    [TODO]
32. 032
    Caching and Worker Performance Capstone CAPSTONE
    [TODO]

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