Caching plays a crucial role in improving performance and reducing latency in modern applications.
From CPUs to CDNs, caching is everywhere, and understanding how to use it effectively can make a huge difference in your system’s scalability.
In this post, I explore:
Cache-Aside (Lazy Loading): Fetch from DB on a miss, then store in cache.
Write-Through: Update DB and cache simultaneously for strong consistency.
Write-Behind: Write to cache first, update DB asynchronously for speed.
Each pattern comes with its own trade-offs between performance, consistency, and complexity, and choosing the right one depends on your use case.
Always remember: your database is the source of truth, and your cache is the performance booster.
If you found this useful, drop a ❤️ or share your caching strategy below!
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