AWS Compute Blog
Category: AWS Step Functions
Orchestrating big data processing with AWS Step Functions Distributed Map
In this post, you’ll learn how to use AWS Step Functions Distributed Map to process Amazon Athena data manifest and Parquet files through a step-by-step demonstration.
Optimizing nested JSON array processing using AWS Step Functions Distributed Map
In this post, we explore how to optimize processing array data embedded within complex JSON structures using AWS Step Functions Distributed Map. You’ll learn how to use ItemsPointer to reduce the complexity of your state machine definitions, create more flexible workflow designs, and streamline your data processing pipelines—all without writing additional transformation code or AWS Lambda functions.
Processing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefix
In this post, you’ll learn how to process Amazon S3 objects at scale with the new AWS Step Functions Distributed Map S3 prefix and transformation capabilities.
Breaking down monolith workflows: Modularizing AWS Step Functions workflows
You can use AWS Step Functions to orchestrate complex business problems. However, as workflows grow and evolve, you can find yourself grappling with monolithic state machines that become increasingly difficult to maintain and update. In this post, we show you strategies for decomposing large Step Functions workflows into modular, maintainable components.
How to export to Amazon S3 Tables by using AWS Step Functions Distributed Map
In this post, we show how to use Step Functions Distributed Map to process Amazon S3 objects and export results to Amazon S3 Tables, creating a scalable and maintainable data processing pipeline.
Streamlining AWS Serverless workflows: From AWS Lambda orchestration to AWS Step Functions
This blog post discusses the AWS Lambda as orchestrator anti-pattern and how to redesign serverless solutions using AWS Step Functions with native integrations.
Orchestrating document processing with AWS AppSync Events and Amazon Bedrock
Many organizations implement intelligent document processing pipelines in order to extract meaningful insights from an increasing volume of unstructured content (such as insurance claims, loan applications and more). Traditionally, these pipelines require significant engineering efforts, as the implementation often involves using several machine learning (ML) models and orchestrating complex workflows. As organizations integrate these pipelines […]
Integrating aggregators and Quick Service Restaurants with AWS serverless architectures
In this post, you learn how to use AWS serverless technologies, such as Amazon EventBridge and AWS Lambda, to build an integration between Quick Service Restaurants (QSRs) and online ordering and food delivery aggregators. These aggregators have taken off as an option to QSRs to expand their consumer base, enabling them with delivery options to help grow their businesses.
Serverless ICYMI 2025 Q1
Welcome to the 28th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. At the end of a quarter, we share the most recent product launches, feature enhancements, blog posts, videos, live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, check out […]
Simplifying private API integrations with Amazon EventBridge and AWS Step Functions
AWS announces new integration capabilities for Amazon EventBridge and AWS Step Functions, enabling direct communication with private APIs using AWS PrivateLink and Amazon VPC Lattice. This enhancement streamlines secure application interactions across private networks, on-premises infrastructure, and cloud platforms, offering improved security, simplified architecture, and enhanced performance for enterprise-level deployments.









