How can I optimize costs for my AWS Lambda functions using Python?
To optimize costs for AWS Lambda functions, consider reducing the memory allocation, optimizing your code for performance, and using provisioned concurrency only when necessary.
What are some best practices for writing efficient Python code in Lambda?
Best practices include minimizing package size, using lightweight libraries, and avoiding unnecessary computations within your functions.
How can I monitor the costs associated with my Lambda functions?
You can use AWS Cost Explorer and CloudWatch to monitor usage and costs. Set up alerts for unexpected spikes in usage.
Are there any tools to help with cost optimization?
Yes, tools like AWS Budgets, AWS Trusted Advisor, and third-party solutions like CloudHealth can help you analyze and optimize costs.
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