AWS recently introduced . We have been waiting for this for a long time now. In the following post, I’m going to share a quick-and-simple tutorial on how to get started with message distribution between Lambda functions, using SQS. SQS integration to Lambda In addition, I will also compare between SQS and SNS (i.e. why should we choose one over the other), and present an in-depth performance analysis of using SQS as a message distributor. Setup In this tutorial, I will use the Serverless Framework, to send a message from one Lambda function to another Lambda function via SQS. Prerequisites: installed. npm installed. Serverless Framework Python — Feel free to use your favorite programming language. AWS account (duh). Let’s start by creating the serverless project: serverless create --template aws-python3 --path sqs-lambda-tutorialcd sqs-lambda-tutorial At this point, we can configure our and files. The code can be found in the following . serverless.yml handler.py GitHub repo serverless.yml This yml file configures our functions, permissions and SQS resource. handler.py This is where our code runs. It contains two functions. Each function represents a different Lambda function. One will be triggered manually, and the other one will be triggered by an SQS message. Deploy! This is the magic of Lambda. Just run the following command while you are in the same folder as : serverless.yml sls deploy The output should look roughly like this: Now we can invoke the “start” function by running the following commands: sls invoke -f start-lambdasls logs -f start-lambdasls logs -f end-lambda You will be able to see the CloudWatch Logs of the Lambda functions with the SQS message. We are done. Congrats! 🎉👏⚡️ Event structure If you plan to use SQS in your application, you will need the structure and data. You can find it in the following Gist: event SQS vs. SNS When applied to Lambda only, this is a tough call. Up to this moment, only SNS supported triggering Lambda functions. Now both SNS and SQS can trigger. Let’s compare the relevant parameters for Serverless applications: The main advantage for SQS is the batch messaging, which can also lead to cost reduction. Performance analysis Distributing messages between services can be complicated. Understanding the performance impact on our applications is almost impossible. At , we love to see the bigger picture for highly distributed applications. In a previous post, we compared several methods of (direct sync invocation, direct async invocation, SNS and Kinesis), and now, using our serverless performance monitoring tool, it’s a great time to introduce the results for SQS: Epsagon distributing messages between functions (how long we wait to publish message): . Operation duration ~10ms (how long it takes from publish until it reaches the destination): . Total duration ~45ms Compared to the results from the previous post — this is much better! Conclusion Lambda integrations are great. The more, the better. In this post, we learned how to deploy Lambda functions that distribute messages using SQS. We also saw an updated comparison between SQS and SNS for Serverless applications and understood the performance implications of distributing messages between functions. Considering features, cost and performance, SQS is the best choice for the task of message distribution between Lambda functions. Originally published at epsagon.com .

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How to setup AWS Lambda with SQS — everything you should know!

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How to setup AWS Lambda with SQS — everything you should know!

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Company Mentioned

Ran Ribenzaft

About Author

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