I'm working on a data syncing pipeline that moves data from Postgres (AWS Aurora) to AWS Opensearch through a series of steps involving Debezium, MSK, and AWS Lambda. My Lambda function is written in Python and interacts with various AWS services like Postgres, Opensearch, and Kafka. Whenever I update the code for the Lambda function, I reupload it, but I'm looking to implement unit and integration tests for this code. We're new to testing serverless applications, and from what I understand, we could potentially mock the AWS services for local testing or use emulators. However, I've heard these might not accurately reflect the production environment. Can anyone suggest better methods or approaches for testing these Lambda functions?
4 Answers
You might want to check out Localstack, which can simulate AWS services locally. It can be super helpful for testing your Lambda functions without needing to deploy them every time.
Have you considered using AWS SAM (Serverless Application Model)? It provides more structured testing for serverless applications and could make your unit and integration tests easier to manage.
Testing live can be risky, but it's sometimes necessary if you're short on options. Just make sure to have proper monitoring in place in case something goes wrong!
Setting up dev/test environments directly in AWS could be effective too, as long as they're scaled down and cleaned up regularly. You could run your tests there without worrying too much about local setups.
Yeah, testing live can be dangerous, but with the right rollback procedures, it might be worth it to get immediate feedback.