Serverless Amazon SQS Worker with AWS Lambda

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As with other events, trigger functions with one Record for each message received. Note: This looks like a long, complex article, but it's easy as pie. There might be a bit of a delay with that method, but it could work.

According to the on the announcement: The automatic scaling behavior of Lambda is designed to keep polling costs low when a queue is empty while simultaneously letting us scale up to high throughput when the queue is being used heavily. This way you avoid requeuing all the messages. I made a stage called production. Please check the docs for more info.

Looks like Lambda is getting SQS as a source soon. : aws

The problem is that I can't figure out how to trigger the second lambda function. Anyway, going to use Kinesis as suggested below Understand the latency of 5 mins. I just have a service running on a t2. Kinesis streams guarantee ordering of the delivered messages for any given key nice for ordered database operations. The result to the user is nearly the same. Your solution of using Lambda with Kinesis seems just what I'm looking for. It reads the messages off the steam and processes them. It's acceptable to lose a few messages in the firehouse when processing big data, for example, but it's not acceptable to lose a single lambda sqs trigger in certain applications. But don't fret too much yet. You need to add another amazon service into the mix and all your problems will be solved. To better understand possible event sources for Lambda check out. I worried about that overhead: 500 times per second vs. I would also add a scheduled call to the asynchronous Lambda to handle any items in the queue that was in error. This way, your queue worker can match your limits lambda sqs trigger. If the queue is empty, function can finish prematurely or start polling in single thread. Kinesis sounds a like an over-kill for this case — you don't need the original order, for instance. Plus running multiple Lambdas simultaneously is surely more expensive than running just one multi-threaded Lambda. The stream is handled with a Lambda function that you'll write and that's it. Of course, this is a simplified design and it works only for simple problems. For more complicated scenarios, use Kinesis as mentioned in the other answers.

If your function fails or takes longer to execute than the message retention period, it will either be returned to the queue or sent to a Dead Letter Queue. Events are passed to a Lambda function as an event input parameter. There is a free tier, so it's extremely affordable, but keep your eye on the bills. Say I have a concurrency limit of 1. Amazon Web Services offers a set of compute services to meet a range of needs. There wasn't one for my needs so I clicked skip. Ref WorkerLambda Events: Timer: Type: Schedule Properties: Schedule: rate 1 minute The previous snippet can be used to set up the resources needed with the help of CloudFormation. If you have not heard of this framework yet then you can have a look at very good documentation. For more details, see our. This may result in more concurrent Lambdas, unless you set an invocation throttle.