How to Get the Maximum, Minimum, and Average Concurrent Executions in AWS Lambda Using Boto3

Discover how to accurately retrieve the maximum, minimum, and average concurrent executions of your AWS Lambda functions using `boto3` and AWS CloudWatch.
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Understanding AWS Lambda Concurrent Executions

AWS Lambda has revolutionized the way we run code in the cloud by allowing us to execute functions without provisioning or managing servers. However, tracking the performance and execution metrics of your Lambda functions is essential in optimizing your applications and ensuring cost efficiency. One common metric to monitor is the number of concurrent executions. In this post, we will learn how to retrieve the maximum, minimum, and average concurrent executions using boto3 and AWS CloudWatch.

The Problem

You might find yourself wondering, "How do I get the maximum number of concurrent executions, minimum, and average for my Lambda function?" This can be especially challenging if you are not familiar with the parameters required for the boto3 client or AWS CloudWatch metrics. Moreover, you'll need to know what values to put in the dimensions and period while making API calls.

Setting Up boto3

Before we dive into the solution, ensure you have boto3 installed and configured with your AWS credentials, as follows:

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Example Code

Here's a foundational structure you can start with to retrieve concurrent execution data using boto3:

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Key Components Explained

1. Dimensions

Dimensions specify the AWS resource whose metrics you want to retrieve. Here, FunctionName represents your Lambda function. Make sure to replace "your_lambda_function_name" with the actual name of your Lambda function.

2. Period

Period is defined in seconds. In the example, 3600 seconds represent one hour. You can adjust this value based on how granular you need your metrics to be.

3. Stat

Stat indicates the type of statistic returned. You may use Average, Maximum, or Minimum based on your requirements.

4. Units

One crucial thing to note is that the units must be set to Count. Using Bytes would yield incorrect results, and you would be left with empty responses.

Important Considerations

Metrics Retention: AWS CloudWatch retains data for 15 months, so ensure that your StartTime and EndTime parameters do not specify a date earlier than this; otherwise, you won't get any results.

Querying Different Statistics: If you want to get the maximum or minimum concurrent executions, just change the Stat parameter in your query to Maximum or Minimum as needed.

Conclusion

Using AWS CloudWatch metrics with boto3, you can easily obtain the maximum, minimum, and average concurrent executions of your Lambda functions. Making sure to correctly configure your parameters is key to ensuring you get the data you need. Adjust your setup as needed, and monitor the health and efficiency of your serverless applications effectively.

If you encounter any issues or have specific questions regarding AWS Lambda and boto3, feel free to ask in the comments below!

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