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AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers. It automatically scales your application by running code in response to each trigger, and you only pay for the compute time you consume. Lambda is designed to handle a variety of workloads, from simple event-driven functions to complex data processing tasks.
When using AWS Lambda, you might encounter the ProvisionedConcurrencyExceededException
. This error occurs when a request exceeds the provisioned concurrency limit set for a Lambda function. Provisioned concurrency ensures that your function can handle a specific number of simultaneous requests with minimal latency.
When this exception is thrown, your function will not be able to handle additional requests beyond the provisioned limit, leading to failed invocations and potential service disruptions.
The ProvisionedConcurrencyExceededException
is a specific error that indicates your Lambda function's provisioned concurrency setting has been exceeded. This setting reserves a certain number of instances of your function to be ready to handle incoming requests, ensuring low latency. However, if the demand surpasses this provisioned amount, the function cannot scale beyond the set limit, resulting in this exception.
This issue typically arises when there is a sudden spike in traffic or if the provisioned concurrency is set too low for the expected workload. It's crucial to monitor your application's traffic patterns and adjust the concurrency settings accordingly.
To resolve the ProvisionedConcurrencyExceededException
, you can take the following steps:
Review your application's traffic patterns to understand the demand on your Lambda function. Use AWS CloudWatch metrics to monitor the ConcurrentExecutions
and ProvisionedConcurrentExecutions
metrics. More information on monitoring can be found in the AWS Lambda Monitoring Metrics documentation.
If you determine that the provisioned concurrency is insufficient, increase it to match your application's needs. You can do this via the AWS Management Console, AWS CLI, or AWS SDKs. For example, using the AWS CLI, you can update the provisioned concurrency with the following command:
aws lambda put-provisioned-concurrency-config --function-name my-function --qualifier 1 --provisioned-concurrent-executions 10
Refer to the AWS Lambda Concurrency documentation for more details.
If your application's requirements exceed the default limits, consider requesting a limit increase from AWS Support. You can submit a request through the AWS Support Center.
By understanding and managing your AWS Lambda function's provisioned concurrency, you can prevent the ProvisionedConcurrencyExceededException
and ensure your application remains responsive under varying loads. Regularly reviewing and adjusting your settings based on traffic patterns will help maintain optimal performance.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)