How can I improve the performance of my AWS Lambda functions written in Python?
To improve performance, consider optimizing your code, reducing package size, and using the right memory allocation.
What are some best practices for optimizing Python code in AWS Lambda?
Best practices include minimizing dependencies, using efficient data structures, and avoiding global variables.
How does memory allocation affect the performance of Lambda functions?
Higher memory allocation increases CPU power, which can significantly speed up execution time for compute-intensive tasks.
Can I use asynchronous programming to enhance performance?
Yes, using async/await can help improve performance by allowing your function to handle I/O-bound tasks more efficiently.
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