Key concepts, tutorials, and instructions for using features

The language used to define state machines in AWS Step Functions

How to use the Step Functions API, including actions and data types

A command-line validator for Amazon States Language JSON files

An open-source web framework to help you develop and deploy serverless applications

A 10-minute tutorial that shows you how to design and run a simple serverless workflow

AWS re:Invent 2018

Discover more about AWS Step Functions at the following sessions:

  • Sessions
  • Chalk Talks
  • Workshops
  • Builder's Sessions
  • Sessions
  • Serverless State Management & Orchestration for Modern Apps
    Keeping track of state and orchestrating the components of a distributed application is complex. AWS Step Functions makes the job simpler, faster, and more intuitive. In this session, learn how to leverage AWS Step Functions to design and run workflows for your serverless, containerized, and instance-based architectures. We explore practical applications of orchestration spanning different industries and workloads. For each, we walk through the architecture, lessons learned, and business outcomes. Expect to leave this session with a practical understanding of how to use orchestration to express your application’s business logic more productively while improving its resilience.

    ML Workflows with Amazon SageMaker and AWS Step Functions
    Learn how you can build, train, and deploy machine learning workflows for Amazon SageMaker on AWS Step Functions. Learn how to stitch together services, such as AWS Glue, with your Amazon SageMaker model training to build feature-rich machine learning applications, and you learn how to build serverless ML workflows with less code. Cox Automotive also shares how it combined Amazon SageMaker and Step Functions to improve collaboration between data scientists and software engineers. We also share some new features to build and manage ML workflows even faster.

    Modernizing Media Supply Chains with AWS Serverless
    Learn how Fox and Discovery modernized their media processing workflows to positively impact operations and business results. In this session, we examine each company's production architecture and learn how they utilize AWS services such as AWS Elemental Media Services, AWS Lambda, AWS Step Functions, Amazon API Gateway, and container toolsets. You also get insights into new business capabilities enabled by their AWS serverless architecture, including automation of content assembly and quality control as well as increased customer engagement with personalization and improved processing performance.

  • Chalk Talks
  • Automate Testing & Deployment of Modern Serverless Apps
    Continuous deployment enables you to be more productive and deliver a more stable product. In this session, learn how to utilize CI/CD techniques when deploying AWS services like AWS Step Functions, Amazon API Gateway, and AWS Lambda resources. Get into the nuts and bolts of handling versions, testing, and deploying using AWS CodePipeline, and monitoring performance using Amazon CloudWatch.

    Building Serverless Machine Learning Workflows
    Modern machine learning workflows leverage AWS services, such as Amazon Transcribe and Amazon Comprehend, to extract, validate, mutate, and enrich your data. Some might drive transactional systems that use machine learning to generate metadata for media assets, while others might derive insights by visualizing customer interaction sentiment from call logs. They all share a common challenge: orchestrating a combination of distinct sequential and parallel steps that are fulfilled by independent microservices. Join us as we examine how workflows can be used to manage that orchestration in a way that is scalable, reliable, and easy to maintain and run. We contrast two approaches for creating such workflows: a traditional monolithic approach and a serverless approach utilizing AWS Steps Functions.

  • Workshops
  • Build Modern Applications that Align with Twelve-Factor Methods
    Twelve-Factor designs improve component reuse and resilience for developers building large-scale software-as-a-service (SaaS) applications. In recent years, the Twelve-Factor guidelines have become a source of best practices for both developers and operations engineers, regardless of the application’s use case and at nearly any scale. In this workshop, create a modern app to see how the Twelve-Factor Application guidelines align with serverless best practices. Learn how to address those Twelve-Factor guidelines that don’t directly align with serverless architectures or are interpreted differently, and practice by implementing examples using AWS Lambda, AWS Step Functions, Amazon API Gateway, and the AWS Code services. Bring a laptop (Windows/OSX/Linux all supported). Tablets are not appropriate. We also recommend installing the current version of Chrome or Firefox.

  • Builder's Sessions
  • Manage Long-Lived Transactions with AWS Step Functions
    AWS Step Functions is a fully-managed serverless workflow-management service. Using visual workflows, you can easily manage long-running processes and coordinate the components of distributed applications and microservices. Join us to learn how you can use Step Functions to implement the Saga design pattern, which is particularly useful for dealing with the complexities of a long-lived transaction that spans across distributed components in a microservices architecture. You need your own laptop with administrator permissions, with the AWS CLI, AWS SAM CLI, and Go installed, and an active AWS account with administrator permissions.

    Build a Serverless Media Analysis & Image Processing Solution
    Use AWS Step Functions along with Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend to build a serverless application that extracts meaningful data from audio, image, and video files.


Explore other AWS Online Tech Talks »


Reference architectures

Media Analytics

This reference implementation provides guidance to consider when extracting metadata from media files, and provides a serverless AWS solution that combines Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend.

AWS Answers

Video on Demand

This solution illustrates best practices for implementing video-on-demand on AWS. AWS Lambda triggers AWS Step Functions for ingest, processing, and publishing workflows, and AWS Elemental MediaConvert performs transcoding.

AWS Answers

Image processing and backend

Use AWS Step Functions to orchestrate a serverless processing workflow that processes photos uploaded to S3, extracts metadata from the image, uses image recognition to tag objects in the photo, and creates a photo thumbnail.


EBS Snapshot Management

This Snapshot Management Application demonstrates how to use AWS Step Functions with Amazon CloudWatch Events, AWS Lambda and AWS CloudFormation to build a serverless solution for EBS snapshot lifecycle management.

GitHub  |  Blog

Batch for Life Sciences

This companion tutorial to the Genomics Workflows on AWS blog series packages bioinformatics applications using Docker, creates an AWS Batch environment for analysis, and deploys Step Functions to control data processing.


Synchronize S3 buckets

Learn how to use AWS Step Functions to one-way synchronize an Amazon S3 source bucket into another S3 destination bucket in a reliable and efficient way, without having to create and populate a new bucket from scratch.

GitHub  |  Blog


State Machines in the Wild! How Customers use AWS Step Functions

A series of innovative, high-impact, and just plain crazy applications of state machines from all sorts of customers, including guest star Coca-Cola

Coordinate Microservices, Build Serverless Apps & Automate Tasks  

Hear how AWS customers like Yelp are using Step Functions to break down monoliths, automate recurring tasks, and reliably build and scale multi-step applications.  

Best Practices for Orchestrating AWS Lambda Workloads

See how Step Functions are different from Amazon SWF, how to get started with Step Functions, and how to use them to take your Lambda-based applications to the next level.

Media Intelligence for the Cloud with Amazon AI

Learn how to extract video metadata using Amazon AI services in combination with AWS Lambda, AWS Step Functions, Amazon ECS, and Amazon EC2 Spot Instances.

Automating Incident Response and Forensics

This session focuses on automating your cloud incident response processes covering external and insider threats, triggers, canaries, containment, and data loss prevention.

EC2/ECS Operations Magic with Step Functions

Michael Fischer, lead site reliability engineer at Segment, shares how they use Step Functions to manage EC2 and ECS to help their customers collect data.

Building Advanced Serverless Applications with AWS Step Functions

Hear how using Step Functions to build serverless apps can help developers create reliable products that scale while reclaiming time and energy.

Learn more about AWS Step Functions

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