This post contains resources for the session Improve Resilience with Automated Chaos Engineering.

The transition into more complex systems is accelerating, and chaos engineering has proved to be a great-to-have option in our toolbox to handle this complexity. But the speed at which we’re developing and deploying makes it hard to keep up through manual chaos experiments, so we turn to automation. Automated chaos experiments helps us cover a more extensive set of experiments than we can cover manually and it allows us to verify our assumptions over time as unknown parts of the system change.

AWS Fault Injection Simulator Samples

https://github.com/aws-samples/aws-fault-injection-simulator-samples

Start an AWS Fault Injection Simulator experiment on a schedule

https://github.com/aws-samples/aws-fault-injection-simulator-samples/tree/main/schedule-experiment

Start an AWS Fault Injection Simulator experiment based on events

https://github.com/aws-samples/aws-fault-injection-simulator-samples/tree/main/event-trigger-experiment

Include AWS Fault Injection Simulator experiments in your CI/CD pipelines

https://github.com/aws-samples/aws-fault-injection-simulator-samples/tree/main/pipeline-experiment

Chaos Testing with AWS Fault Injection Simulator and AWS CodePipeline

https://aws.amazon.com/blogs/architecture/chaos-testing-with-aws-fault-injection-simulator-and-aws-codepipeline/

AWS Resilience and Chaos Engineering Day

Watch the recorded session from AWS Resilience and Chaos Engineering Day to learn more about chaos engineering and resilience.
https://pages.awscloud.com/EMEA-field-OE-resilience-chaos-engineering-day-202111-reg-event.html

If you have any questions, please reach out on Twitter or LinkedIn. Go experiment!