Designing for Failure: Chaos Engineering
You'll learn to
- -Explain the philosophy behind deliberately injecting failure
Designing for Failure, On Purpose
Most teams test whether their system works under normal conditions. Chaos engineering tests whether it fails gracefully: by deliberately injecting real failure (killing a live instance, adding artificial latency, cutting a network link between services) during business hours, with everyone watching.
The reasoning is straightforward once you've worked through this whole course: every circuit breaker, retry policy, replica, and failover path you've learned about only matters if it actually works when triggered for real. You will face these failures eventually: the only choice is whether you face them on your own schedule, with your team ready and watching, or unexpectedly at 3 AM.
"Our failover has never actually been tested in production, but the design looks correct on paper." Good enough?
"Yes, if the architecture is sound, it should work when needed."
"A failover path that's never been exercised for real is unverified, not working: configuration drift, an expired credential, or a subtly wrong health-check threshold are exactly the kind of thing that only shows up under a real failure, not a design review. I'd want it deliberately tested (killing a real instance, on purpose, during business hours) before trusting it, rather than discovering the gap during an actual outage at 3 AM."
Which observability pillar is best for answering "exactly what happened to this one failed request"?
Level 19: Monitoring System (Datadog) is this module's capstone exercise.