Deployment, Integration, and Production Operations
What to know
Productionizing Claude means treating the API as an unreliable dependency. Design for retries with exponential backoff and jitter on rate limits and transient errors, idempotency keys for side-effecting operations, timeouts, and circuit breakers. Understand rate limiting (requests and tokens per minute) and how to smooth traffic with queues and batching.
Key operational concepts: streaming responses to reduce perceived latency; caching where appropriate; version-pinning model identifiers and having a rollback plan when model versions change; secret management (never in client code); and observability with dashboards and alerts on error rate, latency, and cost. Understand graceful degradation: fall back to a smaller model or a cached answer rather than failing hard.
Traps
- Retrying non-idempotent operations without idempotency keys, causing duplicate side effects.
- Hard-coding API keys in client applications.
- No timeout, so a hung request blocks a worker.
- Retrying immediately without backoff, amplifying an outage.
- Assuming a model version is permanent; unpinned versions can shift behavior.
- Ignoring token-based rate limits when only counting requests.
Rule of thumb
Every external call needs a timeout, a bounded retry with backoff, and a fallback. Pin versions, keep secrets server-side, and alert on error rate, latency, and spend.