Best Practices for AWS Lambda Function

AWS Lambda Best Practices:

1. Keep Functions Small:
   • Break down your application into smaller, focused functions.
   • Smaller functions are easier to manage, deploy, and scale.
2. Use Environment Variables:
   • Avoid hardcoding configuration values.
   • Use Lambda environment variables to store configuration data.
3. Manage Dependencies:
   • Bundle only the necessary dependencies with your function.
   • Avoid including unnecessary libraries to reduce deployment package size.
4. Logging and Monitoring:
   • Use CloudWatch Logs for logging.
   • Set up CloudWatch Alarms to monitor function behavior and performance.
5. Error Handling:
   • Implement proper error handling within your Lambda functions.
   • Use dead-letter queues to capture and analyze failed events.
6. Cold Starts:
   • Be aware of cold start times, especially for functions with high concurrency.
   • Optimize code and consider provisioned concurrency to minimize cold starts.
7. Security:
   • Follow the principle of least privilege when configuring IAM roles.
   • Secure sensitive data using encryption, and use AWS Key Management Service (KMS) for key management.
8. Versioning:
   • Use versioning to manage changes to your Lambda functions.
   • Avoid making breaking changes to existing functions without version updates.