Distributed systems fail in ways monoliths never do. The goal isn't to prevent every failure — it's to make failure boring, contained, and recoverable. Here are the practices that have earned their place in production.

Design for partial failure from day one

Assume any dependency can be slow or unavailable. Timeouts, retries with backoff, and circuit breakers aren't optional extras; they're the baseline that keeps one struggling service from taking down the whole system.

Make everything observable

You cannot fix what you cannot see. Structured logs, metrics, and traces should be part of the definition of done for every service.

  • Logs tell you what happened
  • Metrics tell you how often and how bad
  • Traces tell you where the time went

Practice failure on purpose

Game days and chaos experiments turn "we think it's resilient" into "we've watched it survive." Start small: kill a single instance in staging and confirm the system self-heals.

Keep the blast radius small

Bulkheads, rate limits, and sensible defaults ensure that when something does break, it breaks in a corner rather than across the whole platform.