The Deploy Loop: Agent + mesheryctl + GitOps
Understand the end-to-end loop connecting an AI agent, a Git repository, and mesheryctl to produce auditable, reproducible cluster deployments.
Deploying with Agents
Close the loop from AI-generated design to live cluster using mesheryctl, GitOps, and human-in-the-loop checkpoints.
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Categories:
Dry-Runs and Diffs
Always preview before applying: how to run a dry-run, read the diff, assess blast radius, and have the agent wait for explicit approval.
Deploying a Design with an Agent
A concrete walkthrough: an agent imports and deploys designs/microservices-demo.yaml through Meshery, then verifies the rollout with kubectl and mesheryctl.
Rollback and Recovery
When a deploy goes wrong: rolling back via Git revert and Meshery, confirming recovery, and capturing what happened.