Serverless Document Pipelines with AWS Step Functions (Part 3)

📰 Dev.to · Josh Blair

Learn how to build serverless document pipelines using AWS Step Functions and understand the benefits over SQS + Lambda

intermediate Published 21 May 2026
Action Steps
  1. Design a state machine using AWS Step Functions to manage document processing
  2. Configure Lambda functions to perform specific tasks in the pipeline
  3. Integrate Step Functions with other AWS services to store and retrieve documents
  4. Test and debug the pipeline using the execution history feature
  5. Optimize the pipeline for performance and cost efficiency
Who Needs to Know This

Developers and DevOps engineers can benefit from this article to design and implement scalable document pipelines

Key Insight

💡 AWS Step Functions provides a more manageable and observable way to build document pipelines compared to SQS + Lambda

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🚀 Build serverless document pipelines with AWS Step Functions! 📄

Key Takeaways

Learn how to build serverless document pipelines using AWS Step Functions and understand the benefits over SQS + Lambda

Full Article

Why I chose Step Functions over SQS + Lambda — and what the execution history is actually worth.
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