Chaos testing
The act: kill a pod, add 300ms latency, drop a zone. Concrete and repeatable.
⚠ Guide
Chaos testing, minus the chaos of building it
Chaos testing is injecting real failures, killed instances, slow networks, dead dependencies, to see how your system copes. Chaos engineering is the discipline around it: a hypothesis, a steady state, a limited blast radius, and lessons you act on. You need both, and neither should take months of tooling.
Chaos testing vs chaos engineering
Chaos engineering
The discipline: hypothesis, steady state, blast radius, learn, repeat.
What teams actually want
Proof their systems survive, plus a report they can act on.
What usually stops them
Building and maintaining the fault-injection platform. That part is ours.
Start chaos testing in three moves
Verify a target you own. Pick a scenario from the library. Run it with a time limit and automatic abort. Most teams run their first experiment in under ten minutes.
Chaos testing FAQ
+ What is chaos engineering in simple terms?
Breaking things on purpose, in a controlled way, so you learn how your system fails before your customers do.
+ Where did chaos engineering come from?
Netflix popularised it with Chaos Monkey around 2011, and Amazon made GameDays famous before that.
+ Do we need Kubernetes?
No. Oh My GDaaS runs on VMs, containers, Kubernetes and cloud APIs.
Safe by design
Every fault Oh My GDaaS runs is aimed at infrastructure you have proved you own, through a DNS record, a scoped cloud role or a deployed agent. Every run has a blast-radius limit, a hard time limit and an abort button. We are not a booter, stresser or DDoS service and never will be.