![]() ![]() This may result in having a lower concurrency level because more requests are processed by a single instance.įor asynchronous event sources, like S3, there is an internal queue buffering requests between the event source and the Lambda service. For event sources like SQS, you can use the BatchSize property to allow a function to process more messages per invocation. When the number of requests increase, Lambda creates more instances of your function to process traffic. One instance of a Lambda function handles one request at a time. This is a soft limit that you can increase by submitting a request in the AWS Support Center. If requests arrive faster than a function can scale, or if a function reaches maximum capacity, additional requests fail with a throttling error (status code 429).Īll AWS accounts start with a default concurrent limit of 1000 per Region. After this initial burst, functions can scale by an additional 500 instances per minute. If other events arrive while the function is busy, Lambda creates more instances of the function to handle these requests concurrently.įor an initial burst of traffic, your cumulative concurrency in a Region can reach between 5 per minute, depending upon the Region. After completion, the function remains available for a period of time to process subsequent events. When a function is first invoked, the Lambda service creates an instance of the function and runs the handler method to process the event. As traffic increases, Lambda increases the number of concurrent executions of your functions. Lambda is engineered to provide managed scaling in a way that does not rely upon threading or any custom engineering in your code. This post covers scaling and concurrency and the different behaviors of on-demand and Provisioned Concurrency. Part 1 shows how to work with Service Quotas, when to request increases, and architecting with quotas in mind. This three-part series discusses application design for Lambda-based applications. In the Operating Lambda series, I cover important topics for developers, architects, and systems administrators who are managing AWS Lambda-based applications. ![]()
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