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Skills/DevOps & CI/CD
github avatar

Devops Rollout Plan

github/awesome-copilotOfficial

The DevOps Rollout Plan Generator creates production-ready deployment plans for infrastructure and application changes, including preflight validation, step-by-step procedures, verification checkpoints, rollback protocols, and communication timelines. It serves DevOps engineers, platform teams, and infrastructure managers who need to execute complex changes safely while minimizing risk and downtime. The skill solves the problem of coordinating multi-phase deployments by providing a structured template that ensures all critical aspects—from approvals and health checks to verification signals and stakeholder communication—are documented and actionable before changes go live.

installs
9.7K
GitHub stars
40.5K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add github/awesome-copilot --skill devops-rollout-plan --agent claude-code

Installs into .claude/skills of the current project.

Files

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"
SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/github/awesome-copilot
Categories
DevOps & CI/CD, Git & Pull Requests, AI & Agent Building, Productivity & Planning, Cloud & Infrastructure

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