<ul><li>Automated workflows often need human decisions, such as cloud resource approval or model deployment.</li><li>Implementing a manual approval system using AWS Step Functions, Slack, Lambda, and SNS is discussed.</li><li>The architecture allows pausing workflows for human approvals without unnecessary compute usage.</li><li>The solution involves AWS Step Functions for business logic execution, Slack notifications, and human interactions.</li><li>The process includes invoking Lambda functions, setting up SNS topics, Slack workflows, and API Gateway endpoints.</li><li>Slack messages are sent with approval links, and Lambda functions handle user responses.</li><li>Testing and considerations for timeouts, context passing, and Slack channel management are highlighted.</li><li>Lessons learned include setting timeouts, managing permissions, and securing URLs shared in Slack messages.</li><li>The approach of using Step Functions and Slack ensures traceable and production-safe approval workflows.</li><li>The method offers a reliable way to incorporate human judgment in critical workflows efficiently.</li></ul>

Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack

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