Agent Capacity Planning Guide: Avoiding production surprises
blaizedsouza · x · 2026-08-16
To handle growth in agent infrastructure, a systematic capacity planning framework is introduced. Steps include measuring current patterns, modeling 3-6 month load (including peaks and seasonality), planning headroom for compute/memory/tokens, running pre-launch tests, and monthly reviews. Core principle: capacity surprises are expensive. Start with a 2× safety margin on current peaks.
More from coding & agent
- Open source project wraps SearxNG for zero-cost, private AI agent web search — tom_doerr · 2026-08-16
- AI-Generated Software Rarely Crashes but Misbehaves; Devs Get Used to No Stack Traces — burkov · 2026-08-16
- Matt Pocock proposes renaming CONTEXT to GLOSSARY in codebase — mattpocockuk · 2026-08-16
- Community fork adds Claude Code and OAuth to DeepSeek Harness — jasonkneen · 2026-08-16
- Vibe3D: Manage 3D models like npm packages for three.js — majidmanzarpour · 2026-08-16
- AI coding's new seniority test: catch the bad assumption before five agents turn it into a beautifully tested outage — HaktanSuren · 2026-08-16