Serverless applications are the epitome of highly distributed microservices applications. Execution happens everywhere – both inside and outside the serverless compute environment. For example, your functions could be triggered by an external service, then execute some code within AWS Lambda, then send a request over to a database, which then requires AWS Lambda to perform an update in a second data store. You might be able to predict and design for certain troublesome issues but there are many, many more that you probably will not be able to easily plan for. How do you build a resilient system under these highly distributed circumstances? The answer is chaos engineering. Join us as we walk through:

• The unique challenges of building a highly resilient serverless app

• Why you need to design for problems you cannot predict and cannot easily test for

• How you can use chaos engineering to build a resilient serverless application

• How observability platforms like Thundra can help you understand system behavior and prepare for unpredictable failure scenarios