How to Reduce LLM API Costs Without Hurting Quality
Caching, model routing, prompt trimming and batching explained in plain English, with when to use each technique and how to cut your LLM API bill without making answers worse.
A small, fast storage layer that keeps copies of frequently used data so future requests can be served more quickly.
Caching works on a simple idea: if you will need something again soon, keep it close at hand. CPUs have tiny caches built into the chip, web browsers cache images and scripts, and applications use in-memory stores such as Redis to avoid repeating the same database queries.
For example, a news site might cache its homepage for 60 seconds so thousands of visitors are served the same prepared copy instead of rebuilding the page for each one. The hard part is invalidation: deciding when cached data is stale and must be refreshed. Serve stale data and users see outdated information; refresh too often and the cache stops saving work. Developers often joke that cache invalidation is one of the hardest problems in computing.
A geographically distributed network of servers that delivers web content from locations close to each user to improve speed.
Domain Name SystemThe internet's directory service that translates human-friendly domain names into the numeric IP addresses computers use.
Reverse ProxyA server that sits in front of web servers and forwards client requests to them, adding security, caching, and load balancing.
Caching, model routing, prompt trimming and batching explained in plain English, with when to use each technique and how to cut your LLM API bill without making answers worse.
What load testing is, how load, stress, spike and soak tests differ, and how to read results like percentiles and error rates before real traffic finds your limits.
What chaos engineering is, how a controlled failure experiment works, and safe ways for any team to start small before testing in production.