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Automating CI/CD pipeline monitoring uses a state machine to track task progress, execute workflows, and handle recovery automatically. This reduces manual DevOps oversight by orchestrating tasks like deployment management and issue tracking autonomously.

You can automatically merge a pull request after CI checks pass by orchestrating the workflow with a state machine. You provide a natural language command to monitor the PR status, track checks, and execute the merge if the state is clean.

State machine task orchestration handles DevOps errors by monitoring for issues and initiating recovery procedures automatically. It transitions between different states based on workflow outcomes, ensuring smooth operations without requiring continuous human intervention.

You need external execution and decision-making tools to run autonomous DevOps workflows. The state machine orchestrates the looped operations and tracks progress, but it relies on these provided tools to actually execute tasks and make decisions during the process.

Autonomous task management systems handle human decisions by pausing the workflow and sending notifications with options. When a state requires human input during deployment management, the system provides choices and waits for a decision before transitioning states.