AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly. Using Step Functions, you can design and run workflows that stitch together services such as AWS Lambda and Amazon ECS into feature-rich applications. Workflows are made up of a series of steps, with the output of one step acting as input into the next. Application development is simpler and more intuitive using Step Functions, because it translates your workflow into a state machine diagram that is easy to understand, easy to explain to others, and easy to change. You can monitor each step of execution as it happens, which means you can identify and fix problems quickly. Step Functions automatically triggers and tracks each step, and retries when there are errors, so your application executes in order and as expected.
Build and update apps quickly
AWS Step Functions lets you build visual workflows that enable fast translation of business requirements into technical requirements. You can build applications in a matter of minutes, and when needs change, you can swap or reorganize components without customizing any code.
AWS Step Functions manages state, checkpoints and restarts for you to make sure that your application executes in order and as expected. Built-in try/catch, retry and rollback capabilities deal with errors and exceptions automatically.
Write less code
AWS Step Functions manages the logic of your application for you, and implements basic primitives such as branching, parallel execution, and timeouts. This removes extra code that may be repeated in your microservices and functions.
How it works
Step Functions can help ensure that long-running, multiple ETL jobs execute in order and complete successfully, instead of manually orchestrating those jobs or maintaining a separate application. You can also use Step Functions to standardize a machine learning training workflow to improve the accuracy of machine learning models.
Step Functions provides auditable automation of routine deployments, upgrades, installations, and migrations. You can use Step Functions to easily automate recurring tasks such as patch management, infrastructure selection, and data synchronization, and Step Functions will automatically scale, respond to timeouts, and retry failed tasks.
Modernize a monolith
By using Step Functions to carve off a few tasks from the rest of your codebase, you can tackle the transformation of monolithic applications into microservices as a series of small steps. This allows you to untangle business-critical code safely and at your own pace, without disrupting operations and while you continue to deliver new features.
Use Step Functions to combine multiple AWS Lambda functions into responsive serverless applications and microservices, without having to write code for workflow logic, parallel processes, error handling, timeouts or retries. You can also orchestrate data and services that run on Amazon EC2 instances, containers, or on-premises servers.
"Operating an application development platform in the cloud requires reliable coordination of information from many different components, such as the user interface front-end and database. AWS Step Functions makes that simple, enabling us to easily implement multi-step business logic and build a more intelligent monitoring system."
- Pedro Pimenta, VP R&D, OutSystems
"AWS Step Functions let us replace a manual product updating process with an automated series of steps, including built-in retry conditions and error handling. We now rely on it to ensure our database and website have the latest price and availability information before the release of a big show, and keep pace with rapidly changing fashions.”
- Jared Browarnik, CTO, TheTake
“With AWS Step Functions, we can easily change and iterate on the application workflow of our food delivery service in order to optimize operations and continually improve delivery times. Step Functions lets us dynamically scale the steps in our food delivery algorithm so we can manage spikes in customer orders and meet demand.”
- Mathias Nitzsche, CTO, foodpanda
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