Chaos Engineering

advanced
emerging
Enhanced Content

Definition

Practice of intentionally introducing failures to test system resilience. Like conducting fire drills to ensure everyone knows how to respond to emergencies.

Real-World Example

Netflix practices chaos engineering by randomly terminating servers in production to verify their systems can handle failures gracefully.

Cloud Provider Equivalencies

Chaos Engineering is a practice, not a single product. AWS Fault Injection Service and Azure Chaos Studio are first-party services designed to run controlled fault experiments. Google Cloud and OCI commonly rely on third-party chaos tools (often run on Kubernetes or VMs) plus native monitoring/incident tooling; OCI’s DR service focuses on recovery orchestration rather than fault injection.

AWS
AWS Fault Injection Service (FIS)
AZ
Azure Chaos Studio
GCP
Google Cloud Managed Service for Apache Kafka (MSK equivalent) is not applicable; use third-party tools (e.g., LitmusChaos, Gremlin) on GKE/Compute Engine
OCI
OCI Full Stack Disaster Recovery (DR) is related but not equivalent; OCI has no direct first-party chaos experimentation service comparable to FIS/Chaos Studio

Explore More Cloud Computing Terms