What factors affect the performance of AWS Lambda functions?
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What factors affect the performance of AWS Lambda functions?
The performance of AWS Lambda functions can be influenced by several factors, including memory allocation, cold starts, and the size of the deployment package.
How does memory allocation impact performance?
Higher memory allocation not only increases the available memory but also boosts CPU power, leading to faster execution times.
What are cold starts and how do they affect performance?
Cold starts occur when a Lambda function is invoked after being idle, causing a delay as the environment initializes. This can impact performance, especially for latency-sensitive applications.
Can I reduce cold start times?
Yes, you can reduce cold start times by keeping your functions warm, using provisioned concurrency, or optimizing your code and dependencies.
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