🐾Developing Lambda - Efficient Python functions🐾
✅ Are you looking to optimize your Python Lambda functions? Here are some best practices to consider:
🔹Separate business logic from its technical implementation
Create a separate class with functions that encapsulate technical details, leaving only the business logic in the handler. Additionally, initiating client connections to databases and other services outside the handler provides faster response time.
🔹Avoid creating Lambda-liths
Instead, split the business logic into smaller chunks and create multiple functions. This reduces the time it takes for the deployment package to be downloaded and unpacked before invocation.
🔹Do not pass sensitive information using environmental variables
Avoid using environmental variables to pass sensitive information like credentials or passwords. Instead, utilize AWS Secrets Manager or Parameter Store to securely store and retrieve such information.
🔹Ensure your code is idempotent
This means that handling duplicate events should produce the same results. Writing idempotent code helps to maintain consistency and prevents unexpected side effects.
🔹Keep in mind response size limitations
When working with list operations in your functions, keep in mind response size limitations. If response exceeds the maximum allowed size, consider implementing pagination to retrieve data in chunks.
By implementing these practices, you can unlock the full potential of AWS Lambda. Happy coding! 🤓
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