tldr - powered by Generative AI

• Chaos engineering involves deliberately causing production incidents to determine the impact on the environment.
• Defining success criteria is important to determine what success means for the test.
• Measuring steady state involves observing how the system behaves when everything is going well.
• Injecting failure is the actual chaos test itself.
• Observing outcomes involves seeing what happens during the chaos test.
• Restoring the system is necessary if required.
• Managed services in the cloud make traditional chaos engineering techniques difficult.
• Chaos engineering is essential for verifying the resiliency of cloud-native applications.
• Defining success criteria, measuring steady state, injecting failure, observing outcomes, and restoring the system are the five parts to running a chaos test.