devops-rollout-plan
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9,659
Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes
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Summary
Comprehensive rollout plan generator with preflight checks, phased deployment, verification signals, and rollback procedures.
- Generates structured plans covering executive summary, prerequisites, preflight validation, step-by-step deployment phases, and post-deployment tasks
- Includes immediate, short-term, medium-term, and long-term verification signals to confirm deployment success across multiple time windows
- Provides rollback decision criteria, automated revert procedures, and post-rollback verification to minimize recovery time
- Adapts plan scope and rigor based on infrastructure type (Kubernetes, VMs, serverless, databases), risk level, change type, and target environment
- Includes communication templates with stakeholder matrices, contingency scenarios for partial failures and dependency issues, and contact escalation paths
Raw SKILL.md
3,994 bytes--- name: devops-rollout-plan description: 'Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes' --- # 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"
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