#chaosengineering

Resilience you have not tested is just a hope. Chaos engineering deliberately injects failure, kill a node, add latency, drop a region, to prove your

Running scheduled chaos experiments on a non-production k3s cluster. Weekly pod-kills and latency injection — what breaks, what it teaches, and why chaos testing matters even when nobody's paying for uptime.

Both practices break your system on purpose, so they get filed under the same heading — and that is why a system can pass a load test at ten times its traffic and still be taken down the following week by one slow, non-critical service. A load test d

Canonical version:...

Recent DEV threads debated AI tool permissions and watermarking, but both debates skip an earlier...

Testing AI Agent Workflows: From Unit Tests to Chaos Engineering You can't test an AI...

Most DR Drills Are Theater Someone schedules a meeting. A few senior engineers walk...

After building ledger-sentinel, a payment system focused on correctness under concurrent load, I...

Adversarial restore testing exists because recovery used to assume cooperation, and modern incidents...

I Deliberately Destroyed My Kubernetes Cluster at 2 AM. Here's What Died First. Chaos...

You Don't Need Chaos Monkey Every chaos engineering talk starts with Netflix and Chaos...

This is Article 9 in the “Chaos Engineering on AWS” series. Every experiment so far has stayed...