Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs - InfoQ

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.

InfoQ Homepage Articles Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs Architecture & Design Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs Jan 29, 2026 19 min read by Saranya Vedagiri reviewed by Thomas Betts Follow us on Youtube 232K Followers Linkedin 26K Followers Instagram New RSS 19K Readers X 57.1k Followers Facebook 21K Likes Bluesky New Listen to this article - 0:00 Audio ready to play Your browser does not support the audio element. 0:00 0:00 Normal 1.25x 1.5x Like Reading list Key Takeaways Treat latency as a first-class product conc

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