![]() This allows for the decoupling of different components of an application, as the message. But because of how I'm planning this system, that would add a lot of complexity that I would love to try to avoid. When a new message is added to an SQS queue, it can trigger a Lambda function to process the message. Create an API gateway HTTP API type trigger. You can use the built-in test function for testing. Your message should contain either the current time or a random number. Modify the Lambda to send a message to the SQS queue. Create a Lambda function in the console with a Python 3.7 or higher runtime. The handler uses the predefined SQSEvent class that is defined in the aws-lambda-java-events library. In the code, handleRequest is the handler. For illustration, the code writes some of the incoming event data to CloudWatch Logs. I also know that I could just limit it on the other side, by limiting the number of items I put in the queue at a time (or per day). Create a Standard SQS Queue using Python. The following is example Java code that receives an Amazon SQS event message as input and processes it. The content of the message is not your logs but either the default or custom message that youve created. Here, cloudWatch will trigger (send message to) the SQS queue. But this section doesn't seem to address the 100 times per day limit, or the 1 second delay between running the next function. But configuring a CloudWatch Event with SQS is similar like a SQS trigger to Lambda. Specifically the "Function Level Concurrent Execution Limit" section. I have looked into AWS Lambda Managing Concurrency. This type of control would allow me to directly map the function to the DynamoDB table limits to ensure I'm not going over capacity, and to I comply with any API rate limits. ![]() It would also be nice to throttle it, to where it will only have a maximum of 5 concurrent actions being run at once, with a 1 second delay between running again. In order to manage costs, and stay in control of this process I'm wanting to throttle the amount of times this Lambda function gets called in a certain period of time.įor example, I want this function to be run a maximum of 100 times per day, in order to not overwhelm the DynamoDB table capacity or the API endpoint. 2022.02.05 In the above page, function that receives messages from the queue were executed manually. ![]() One step of processing is going to be hitting an API endpoint to get some data back for every item added to the queue, then storing that away in an DynamoDB table. I have an AWS SQS queue that I'm going to setup with a Lambda function trigger to run the Lambda function for every item that gets added to the queue to do some processing work.
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