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Your charges would be calculated as follows: You have configured your function with 1536 MB of memory, on an x86 based processor. The average function execution duration is 120 ms.

Learn more »įor simplicity, let’s assume your application processes three million requests per month. Savings apply to duration and Provisioned Concurrency. With Compute Savings Plans, you can save up to 17 percent on AWS Lambda. AWS Lambda participates in Compute Savings Plans, a flexible pricing model that offers low prices on Amazon Elastic Compute Cloud (Amazon EC2), AWS Fargate, and Lambda usage, in exchange for a commitment to a consistent amount of usage (measured in $/hour) for a one- or three-year term.

Lambda also offers tiered pricing options for on-demand duration above certain monthly usage thresholds.

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The AWS Lambda free tier includes one million free requests per month and 400,000 GB-seconds of compute time per month, usable for functions powered by both x86, and Graviton2 processors, in aggregate. Additionally, the free tier includes 100GiB of HTTP response streaming per month, beyond the first 6MB per request, which are free.

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For Lambda functions with AWS Lambda Extensions, duration also includes the time it takes for code in the last running extension to finish executing during shutdown phase. For more details, see the Lambda Programming Model documentation. * Duration charges apply to code that runs in the handler of a function as well as initialization code that is declared outside of the handler. This applies to a variety of serverless workloads, such as web and mobile backends, data, and media processing. AWS Lambda functions running on Graviton2, using an Arm-based processor architecture designed by AWS, deliver up to 34% better price performance compared to functions running on x86 processors. You can run your Lambda functions on processors built on either x86 or Arm architectures. To learn more, see the Function Configuration documentation. An increase in memory size triggers an equivalent increase in CPU available to your function. In the AWS Lambda resource model, you choose the amount of memory you want for your function, and are allocated proportional CPU power and other resources.

The price depends on the amount of memory you allocate to your function. Lambda counts a request each time it starts executing in response to an event notification trigger, such as from Amazon Simple Notification Service (SNS) or Amazon EventBridge, or an invoke call, such as from Amazon API Gateway, or via the AWS SDK, including test invokes from the AWS Console.ĭuration is calculated from the time your code begins executing until it returns or otherwise terminates, rounded up to the nearest 1 ms*. You are charged based on the number of requests for your functions and the duration it takes for your code to execute.

With Lambda, you can run code for virtually any type of application or backend service, all with zero administration, and only pay for what you use. Create workload-aware cluster scaling logic, maintain event integrations, and manage runtimes with ease. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.