What are the best practices for error handling in AWS Lambda?
When handling errors in AWS Lambda, it's important to implement structured logging, use try-catch blocks, and set up dead-letter queues.
Can you explain how dead-letter queues work?
Dead-letter queues (DLQs) allow you to capture failed events for further analysis. If a Lambda function fails to process an event after a specified number of retries, the event is sent to the DLQ.
What logging tools do you recommend for monitoring Lambda functions?
AWS CloudWatch is a great tool for logging and monitoring Lambda functions. It provides insights into function performance and error rates.
How can I improve the performance of my Lambda functions?
To improve performance, consider optimizing your code, using provisioned concurrency, and minimizing package size.
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