Performing serverless computing with AWS Lambda as a Junior Dev? Get ready for an exciting journey! Here are some best practices to make the most out of it:
- Separate the handler and core logic for readable code, faster reviews, and easier testing.
- Use a connection pool to connect with your database and prevent overloading it.
- Pass operational values to your functions through environment variables.
- Keep your Lambda lean by using only essential imports/packages.
- Check your team's error monitoring and logging setup and implement the right level of logging.
- Use an IAM role with the minimum required permissions to execute your function.
- Avoid global states and cache-abusing assets in /tmp to prevent data leaks across invocations.
- Enable X-Ray tracing for optimized analysis and improvement later.
- Store sensitive parameters securely in AWS Secrets or SSM parameters.
- Learn about idempotency and write idempotent code to handle multiple invocations.
- Be mindful of account and lambda quotas and limitations (default concurrency is 1000 per account).
- Avoid calling one lambda from another as it can create architectural issues & expect calls over the network to fail without any rationale.
- Understand the throughput difference between services such as DynamoDB, SQS, Lambda.
- Test single object streams and full streams when working with streams to save time in debugging.
With these practices, you'll be on your way to successful serverless computing with AWS Lambda!
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