Viewing profile — gkoos

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This post runs three controlled chaos scenarios against the same endpoint to compare retry-only, Retry-After-aware retries, and hedging. One recurring result is that reliability ga…

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Live benchmark comparing fetch, axios, ky, and ffetch side-by-side with configurable latency, failures, and rate limiting. No setup needed. Run chaos scenarios and see real-time re…

Why debouncing input reduces call volume but does not prevent stale-response race conditions.

I implemented atomic hot config reload in both Node and Go with the same external contract, then reran benchmarks on the same machine and methodology. In this setup, Go remains abo…

ffetch v5 is out ffetch is a TypeScript-first fetch client focused on production reliability. Core functionality includes: - timeouts (global and per-request) - retries with expone…

Summary: Explains backpressure as producer–consumer rate control in JS, covering Node.js streams (write()/drain, pipe()), Web Streams, and pitfalls with async/await and Promise.all…

A TypeScript/ESM library for injecting latency, failures, and other network chaos into fetch requests. It supports flexible middleware and can be combined with chaos-proxy for adva…

I made Chaos Proxy, a tool to inject chaos into API requests for testing and development. You can simulate latency, random failures, dropped connections, and rate limits using a si…