The edge cases of software engineering.
My new article as a freeCodeCamp News author just got published!
Modern systems often generate vast streams of high-volume, high-cardinality, or continuously changing data. Performing exact queries - like counting unique users on a website, tracking event frequencies, or checking membership in massive sets - can be slow, memory-intensive, or even infeasible on traditional relational or NoSQL databases.
Chaos testing usually brings Netflix or Amazon to mind: production services deliberately stressed to find weaknesses. For smaller teams, or solo developers, that kind of chaos feels extreme or impractical.
Introducing chaos-fetch: a TypeScript/ESM library for injecting network chaos (latency, failures, drops, etc.) into fetch requests. Designed for programmatic use, chaos-fetch provides a flexible middleware system for simulating adverse network conditions in client-side code.
After a lot of work and some migration struggles, Chaos Proxy is now published as @fetchkit/chaos-proxy on npm and has reached version 1.0.3!