Caching Strategies for High-Performance Systems
February 15, 2026•Trịnh Minh Nhật
Master caching strategies including cache-aside, write-through, and write-behind patterns to dramatically improve system performance.
System Design Fundamentals
Part 4 / 6- ↑ 1 more above
- 2Microservices Architecture: A Comprehensive Guide
- 3Database Design Patterns for Scalable Systems
- 4Caching Strategies for High-Performance Systems
- 5Load Balancing: Distributing Traffic at Scale
- 6Message Queues and Event-Driven Architecture
Why Caching Matters
Caching is one of the most effective techniques for improving system performance by storing frequently accessed data closer to where it's needed.
Common Caching Patterns
Cache-Aside (Lazy Loading)
The application code manages the cache — on a cache miss, load from the database and populate the cache.
Write-Through
Every write to the cache is synchronously written to the database.
Write-Behind (Write-Back)
Writes go to the cache first, then asynchronously flush to the database.