CI/CD Pipeline (GitOps)

Infrastructure as Code (IaC) is powerful, but writing complex YAML pipelines to orchestrate zero-downtime deployments often becomes a full-time job.

Scenario 1 (Easy): The Automated Staging Deploy

The Challenge: Your team merges 20 pull requests a day. You need those changes to instantly deploy to the staging servers.

The RasnuOS Solution:

1. The Inbound Webhook: You generate an Inbound Webhook URL for your Staging Fleet inside RasnuOS.
2. The Pipeline Hook: In your GitHub Actions config, you add a single step after unit tests pass: a curl request to the webhook.
3. The Orchestration: RasnuOS receives the webhook, instructs the Staging Agents to pull the code, run the build tools (e.g., go build), and execute a graceful reload.

Scenario 2 (Hard): Multi-Phase Blue/Green Production Rollouts

The Challenge: You are deploying a massive update to your core banking API. You cannot simply overwrite the code on all 50 production servers at once. You need a Blue/Green deployment strategy: deploy the new code to 5 servers, monitor them for 10 minutes, and if no errors occur, deploy to the remaining 45 servers. Building this logic natively in GitLab CI is incredibly brittle.

The RasnuOS Solution:

1. The Phased Blueprint: In the RasnuOS dashboard, you define a Deployment Recipe with a "Canary Phase".
2. The Initial Trigger: When GitLab CI hits the RasnuOS Webhook, the Control Plane initiates the Canary Phase, upgrading only 5 servers.
3. Telemetry Validation: Instead of blindly waiting 10 minutes, RasnuOS actively monitors the telemetry of those 5 servers. If the Agent detects a sudden spike in HTTP 500 errors or a dramatic increase in CPU load, the Control Plane automatically halts the deployment, instantly rolls those 5 servers back to the previous Git commit, and fires a critical alert to Slack.
4. Automated Completion: If the telemetry remains perfectly healthy for the 10-minute window, the Control Plane autonomously proceeds to Phase 2, upgrading the remaining 45 servers with absolute zero-downtime.