devops-rollout-plan
Creates detailed plans for deploying infrastructure and application changes, including checks and rollback.
What it does
This agent creates a detailed plan for releasing new software versions or infrastructure updates. It includes pre-launch checks, deployment steps, how to verify if everything is working, what to do if something goes wrong, and how to communicate the changes.
When to use it
- ✓When releasing a new version of an application.
- ✓When making significant changes to server infrastructure.
- ✓When updating configurations that affect many users.
Example of what to ask your AI
“Generate a rollout plan for updating our e-commerce application to version 3.0, deploying to Kubernetes servers in production. Acceptable downtime is 30 minutes between 2 AM and 4 AM on Saturday.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You tell me what's changing, where, and what the constraints are. I use that information to assemble a step-by-step plan with checks, rollback procedures, and communication plans.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add github/awesome-copilot --skill devops-rollout-planOr download just the file:
curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/devops-rollout-plan/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
DevOps Rollout Plan Generator
Your goal is to create a comprehensive, production-ready rollout plan for infrastructure or application changes.
Input Requirements
Gather these details before generating the plan:
Change Description
- What's changing (infrastructure, application, configuration)
- Version or state transition (from/to)
- Problem solved or feature added
Environment Details
- Target environment (dev, staging, production, all)
- Infrastructure type (Kubernetes, VMs, serverless, containers)
- Affected services and dependencies
- Current capacity and scale
Constraints & Requirements
- Acceptable downtime window
- Change window restrictions
- Approval requirements
- Regulatory or compliance considerations
Risk Assessment
- Blast radius of change
- Data migrations or schema changes
- Rollback complexity and safety
- Known risks
Output Format
Generate a structured rollout plan with these sections:
1. Executive Summary
- What, why, when, duration
- Risk level and rollback time
- Affected systems and user impact
- Expected downtime
2. Prerequisites & Approvals
- Required approvals (technical lead, security, compliance, business)
- Required resources (capacity, backups, monitoring, rollback automation)
- Pre-deployment backups
3. Preflight Checks
- Infrastructure health validation
- Application health baseline
- Dependency availability
- Monitoring baseline metrics
- Go/no-go decision checklist
4. Step-by-Step Rollout Procedure
Phases: Pre-deployment, deployment, progressive verification
- Specific commands for each step
- Validation after each step
- Duration estimates
5. Verification Signals
Immediate (0-2 min): Deployment success, pods/containers started, health checks passing Short-term (2-5 min): Application responding, error rates acceptable, latency normal Medium-term (5-15 min): Sustained metrics, stable connections, integrations working Long-term (15+ min): No degradation, capacity healthy, business metrics normal
6. Rollback Procedure
Decision Criteria: When to initiate rollback Rollback Steps: Automated, infrastructure revert, or full restore Post-Rollback Verification: Confirm system health restored Communication: Stakeholder notification
7. Communication Plan
- Pre-deployment (T-24h): Schedule and impact notice
- Deployment start: Commencement notice
- Progress updates: Status every X minutes
- Completion: Success confirmation
- Rollback (if needed): Issue notification
Stakeholder Matrix: Who to notify, when, via what method, with what content
8. Post-Deployment Tasks
- Immediate (1h): Verify criteria met, review logs
- Short-term (24h): Monitor metrics, review errors
- Medium-term (1 week): Post-deployment review, lessons learned
9. Contingency Plans
Scenarios: Partial failure, performance degradation, data inconsistency, dependency failure For each: Symptoms, response, timeline
10. Contact Information
- Primary and secondary on-call
- Escalation path
- Emergency contacts (infrastructure, security, database, networking)
Plan Customization
Adapt based on:
- Infrastructure Type: Kubernetes, VMs, serverless, databases
- Risk Level: Low (simplified), medium (standard), high (additional gates)
- Change Type: Code deployment, infrastructure, configuration, data migration
- Environment: Production (full plan), staging (simplified), development (minimal)
Remember
- Always have a tested rollback plan
- Communicate early and often
- Monitor metrics, not just logs
- Document everything
- Learn from each deployment
- Never deploy on Friday afternoon (unless critical)
- Never skip verification steps
- Never assume "it should work"
FAQ
What are 'verification signals'?
These are metrics and indicators that show if the new release is working correctly after deployment, such as error rates and application response times.
What is a 'rollback plan'?
It's a set of instructions to revert the change and go back to the previous state if something goes very wrong during or after the release.
Do I need to know technical details to use this?
No, you just need to describe the change, the environment, and the constraints. The agent will handle the technical details of the plan.
Details
Original description by the author
Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes
repo: github/awesome-copilot
Popularity
- GitHub stars
- 40k
- Ranking position
- #5116
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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