Modern serverless architectures rely on seamless orchestration to connect databases, compute resources, and external services. Managing complex business logic across multiple steps requires a structured approach to state management, error handling, and data flow. This course teaches you how to design, build, and optimize real-world workflows using AWS Step Functions, Lambda, and DynamoDB.
You will begin by understanding the foundational concepts of state machines, learning how data flows between different states, and configuring basic inputs and outputs. From there, you will learn to integrate serverless functions and database tables to process data dynamically. You will also master modern resilience patterns, including exponential backoff, retries, and catch blocks, ensuring your workflows can handle unexpected failures gracefully.
What you'll learn:
- Understand the core components and syntax of AWS Step Functions and state machines
- Configure Lambda functions to execute custom logic within a multi-step workflow
- Read and write data to DynamoDB tables directly from your state machine steps
- Implement error handling policies using retries, catch blocks, and backoff rates
- Manage state transitions and payload formatting using JSONPath filtering
- Apply modern observability practices to monitor and debug running execution flows
This course is structured to take you from a basic understanding of serverless orchestration to deploying resilient, multi-state workflows. You will start with core definitions and step-by-step concepts before reading through practical implementation scenarios that connect compute and storage resources.
This course is designed for beginner cloud developers, backend engineers, and system architects who want to learn serverless orchestration. No prior experience with AWS Step Functions is required, though a basic familiarity with cloud concepts is helpful.
Start reading today to build reliable, fault-tolerant serverless workflows for your applications.
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