How does AWS Lambda handle scaling for serverless applications?
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How does AWS Lambda handle scaling for serverless applications?
AWS Lambda automatically scales your application by running code in response to events. It can handle thousands of requests simultaneously.
What factors influence the scaling of Lambda functions?
Factors include the number of incoming requests, the duration of the function execution, and the memory allocated to the function.
Are there any limits to how many instances can run at once?
Yes, AWS Lambda has a default concurrency limit of 1,000 concurrent executions per account, but this can be increased by request.
How can I monitor the scaling of my Lambda functions?
You can use AWS CloudWatch to monitor metrics like invocation count, duration, and error rates to understand how your functions are scaling.
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