Step Functions

Step Functions as an ad-hoc scheduling mechanism

We previously discussed how you can implement an ad-hoc scheduling system using DynamoDB TTL as well as CloudWatch Events. And now, let’s see how you can implement the same system using AWS Step Functions and the pros and cons of this approach. As before, we will assess this approach using the following criteria: Precision: how …

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ICYMI: five updates you’ve missed about Serverless Step Functions

Over the last 6 months, we have made the Serverless Step Functions plugin better and more useful. Here are the most impactful changes, in case you missed it! Support for intrinsic function One of the main pain points of using the plugin has long been that you needed to use fully-formed ARNs. As of v1.18.0 …

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DynamoDB TTL as an ad-hoc scheduling mechanism

CloudWatch Events let you easily create cron jobs with Lambda. However, it’s not designed for running lots of ad-hoc tasks, each to be executed once, at a specific time. The default limit on CloudWatch Events is a lowly 100 rules per region per account. It’s a soft limit, so it’s possible to request a limit …

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Step Functions: how to implement semaphores for state machines

Here at DAZN, we are migrating from our legacy platform into a brave new world of microfrontends and microservices. Along the way, we also discovered the delights that AWS Step Function has to offer, for example… flexible error handling and retry the understated ability to wait between tasks the ability to mix automated steps with …

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Applying the Saga pattern with AWS Lambda and Step Functions

The Saga pattern is a pattern for managing failures, where each action has a compensating action for rollback. In Hector Garcia-Molina’s 1987 paper, it is described as an approach to handling system failures in a long-running transactions. It has become increasingly relevant in the world of microservices as application logic often needs to transact across …

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