How Many Concurrent Claude API Requests Can You Actually Hold? Sizing Production Infrastructure with Little's Law and Measured Memory
Concurrency, queue depth, and memory are numbers you can derive, not guess. A working method for sizing Claude API production deployments with Little's Law, a memory probe, and a 30-minute load check — learned the hard way from an OOM crash.
Infrastructure Requirements for Claude API Deployment: Sizing, SLA, and Compliance Decisions Before Production
Your prototype works. But what does 'production-ready' actually mean? This guide walks through how to derive infrastructure requirements from traffic, SLA, and data-residency decisions — with concrete numbers and a sizing formula.
Four Infrastructure Levers That Cut Claude API Latency Before You Touch the Model
Before you downgrade Sonnet to Haiku to chase faster responses, the network and request shape around your Claude API calls usually has more headroom. Here are four infrastructure levers — region selection, connection pooling, prompt caching, and streaming — with code and measurement notes.
Production Infrastructure for Claude API — 8 Things You Need Between 'It Works' and 'It Holds Up'
There is a much bigger gap than you'd think between a working Claude API call on your laptop and a service that survives real users. Here are the eight pieces of infrastructure I now consider non-negotiable, learned the hard way.