The Simian Army
Explore how Netflix’s Simian Army applies chaos engineering techniques to test and improve the resilience of distributed systems. Learn about the role of tools like Chaos Monkey in automating failure induction and recovery, and how organizations can manage chaos testing through opt-in and opt-out processes to enhance system robustness.
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Chaos monkey
Probably the best known example of chaos engineering is Netflix’s Chaos Monkey. Every once in a while, the monkey wakes up, picks an autoscaling cluster, and kills one of its instances. The cluster should recover automatically. If it doesn’t, then there’s a problem and the team that owns the service has to fix it.
The Chaos Monkey tool was born during Netflix’s migration to Amazon’s AWS cloud infrastructure and a microservice architecture. As services proliferated, engineers found that availability could be jeopardized by an increasing number of components. Unless they found a way to make the whole service immune to component failures, they would be doomed. So every cluster needed to autoscale and recover from failure of any instance. But ...