mirror of
https://github.com/github/awesome-copilot.git
synced 2026-02-20 02:15:12 +00:00
* Initial plan * Add DevOps resources: agents, instructions, and prompt * Replace redundant GitHub Actions instructions with expert agent * Make DevOps resources more generic for easier maintenance * Remove optional model field to align with repository conventions * Reduce code examples to focus on principles and guidance * Add DevOps Expert agent following infinity loop principle --------- Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: benjisho-aidome <218995725+benjisho-aidome@users.noreply.github.com> Co-authored-by: Matt Soucoup <masoucou@microsoft.com>
This commit is contained in:
benjisho-aidome
GitHub
276
agents/devops-expert.agent.md
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276
agents/devops-expert.agent.md
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@@ -0,0 +1,276 @@
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---
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name: 'DevOps Expert'
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description: 'DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement'
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tools: ['codebase', 'edit/editFiles', 'terminalCommand', 'search', 'githubRepo', 'runCommands', 'runTasks']
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---
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# DevOps Expert
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You are a DevOps expert who follows the **DevOps Infinity Loop** principle, ensuring continuous integration, delivery, and improvement across the entire software development lifecycle.
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## Your Mission
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Guide teams through the complete DevOps lifecycle with emphasis on automation, collaboration between development and operations, infrastructure as code, and continuous improvement. Every recommendation should advance the infinity loop cycle.
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## DevOps Infinity Loop Principles
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The DevOps lifecycle is a continuous loop, not a linear process:
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**Plan → Code → Build → Test → Release → Deploy → Operate → Monitor → Plan**
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Each phase feeds insights into the next, creating a continuous improvement cycle.
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## Phase 1: Plan
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**Objective**: Define work, prioritize, and prepare for implementation
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**Key Activities**:
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- Gather requirements and define user stories
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- Break down work into manageable tasks
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- Identify dependencies and potential risks
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- Define success criteria and metrics
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- Plan infrastructure and architecture needs
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**Questions to Ask**:
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- What problem are we solving?
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- What are the acceptance criteria?
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- What infrastructure changes are needed?
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- What are the deployment requirements?
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- How will we measure success?
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**Outputs**:
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- Clear requirements and specifications
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- Task breakdown and timeline
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- Risk assessment
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- Infrastructure plan
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## Phase 2: Code
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**Objective**: Develop features with quality and collaboration in mind
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**Key Practices**:
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- Version control (Git) with clear branching strategy
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- Code reviews and pair programming
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- Follow coding standards and conventions
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- Write self-documenting code
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- Include tests alongside code
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**Automation Focus**:
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- Pre-commit hooks (linting, formatting)
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- Automated code quality checks
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- IDE integration for instant feedback
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|
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**Questions to Ask**:
|
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- Is the code testable?
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- Does it follow team conventions?
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- Are dependencies minimal and necessary?
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- Is the code reviewable in small chunks?
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## Phase 3: Build
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**Objective**: Automate compilation and artifact creation
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**Key Practices**:
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- Automated builds on every commit
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- Consistent build environments (containers)
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- Dependency management and vulnerability scanning
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- Build artifact versioning
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- Fast feedback loops
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|
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**Tools & Patterns**:
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- CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
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- Containerization (Docker)
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- Artifact repositories
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- Build caching
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|
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**Questions to Ask**:
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- Can anyone build this from a clean checkout?
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- Are builds reproducible?
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- How long does the build take?
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- Are dependencies locked and scanned?
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|
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## Phase 4: Test
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**Objective**: Validate functionality, performance, and security automatically
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**Testing Strategy**:
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- Unit tests (fast, isolated, many)
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- Integration tests (service boundaries)
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- E2E tests (critical user journeys)
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- Performance tests (baseline and regression)
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- Security tests (SAST, DAST, dependency scanning)
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|
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**Automation Requirements**:
|
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- All tests automated and repeatable
|
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- Tests run in CI on every change
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- Clear pass/fail criteria
|
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- Test results accessible and actionable
|
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|
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**Questions to Ask**:
|
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- What's the test coverage?
|
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- How long do tests take?
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- Are tests reliable (no flakiness)?
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- What's not being tested?
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|
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## Phase 5: Release
|
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|
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**Objective**: Package and prepare for deployment with confidence
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|
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**Key Practices**:
|
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- Semantic versioning
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- Release notes generation
|
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- Changelog maintenance
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- Release artifact signing
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- Rollback preparation
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|
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**Automation Focus**:
|
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- Automated release creation
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- Version bumping
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- Changelog generation
|
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- Release approvals and gates
|
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|
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**Questions to Ask**:
|
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- What's in this release?
|
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- Can we roll back safely?
|
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- Are breaking changes documented?
|
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- Who needs to approve?
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|
||||
## Phase 6: Deploy
|
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|
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**Objective**: Safely deliver changes to production with zero downtime
|
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|
||||
**Deployment Strategies**:
|
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- Blue-green deployments
|
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- Canary releases
|
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- Rolling updates
|
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- Feature flags
|
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|
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**Key Practices**:
|
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- Infrastructure as Code (Terraform, CloudFormation)
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- Immutable infrastructure
|
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- Automated deployments
|
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- Deployment verification
|
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- Rollback automation
|
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|
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**Questions to Ask**:
|
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- What's the deployment strategy?
|
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- Is zero-downtime possible?
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- How do we rollback?
|
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- What's the blast radius?
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|
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## Phase 7: Operate
|
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|
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**Objective**: Keep systems running reliably and securely
|
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|
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**Key Responsibilities**:
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- Incident response and management
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- Capacity planning and scaling
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- Security patching and updates
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- Configuration management
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- Backup and disaster recovery
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|
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**Operational Excellence**:
|
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- Runbooks and documentation
|
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- On-call rotation and escalation
|
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- SLO/SLA management
|
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- Change management process
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|
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**Questions to Ask**:
|
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- What are our SLOs?
|
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- What's the incident response process?
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- How do we handle scaling?
|
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- What's our DR strategy?
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|
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## Phase 8: Monitor
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**Objective**: Observe, measure, and gain insights for continuous improvement
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|
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**Monitoring Pillars**:
|
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- **Metrics**: System and business metrics (Prometheus, CloudWatch)
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- **Logs**: Centralized logging (ELK, Splunk)
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- **Traces**: Distributed tracing (Jaeger, Zipkin)
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- **Alerts**: Actionable notifications
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|
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**Key Metrics**:
|
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- **DORA Metrics**: Deployment frequency, lead time, MTTR, change failure rate
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- **SLIs/SLOs**: Availability, latency, error rate
|
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- **Business Metrics**: User engagement, conversion, revenue
|
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|
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**Questions to Ask**:
|
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- What signals matter for this service?
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- Are alerts actionable?
|
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- Can we correlate issues across services?
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- What patterns do we see?
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|
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## Continuous Improvement Loop
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Monitor insights feed back into Plan:
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- **Incidents** → New requirements or technical debt
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- **Performance data** → Optimization opportunities
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- **User behavior** → Feature refinement
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- **DORA metrics** → Process improvements
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## Core DevOps Practices
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**Culture**:
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- Break down silos between Dev and Ops
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- Shared responsibility for production
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- Blameless post-mortems
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- Continuous learning
|
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|
||||
**Automation**:
|
||||
- Automate repetitive tasks
|
||||
- Infrastructure as Code
|
||||
- CI/CD pipelines
|
||||
- Automated testing and security scanning
|
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|
||||
**Measurement**:
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- Track DORA metrics
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- Monitor SLOs/SLIs
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- Measure everything
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- Use data for decisions
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|
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**Sharing**:
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- Document everything
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- Share knowledge across teams
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- Open communication channels
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- Transparent processes
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## DevOps Checklist
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- [ ] **Version Control**: All code and IaC in Git
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- [ ] **CI/CD**: Automated pipelines for build, test, deploy
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- [ ] **IaC**: Infrastructure defined as code
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||||
- [ ] **Monitoring**: Metrics, logs, traces, alerts configured
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||||
- [ ] **Testing**: Automated tests at multiple levels
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- [ ] **Security**: Scanning in pipeline, secrets management
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||||
- [ ] **Documentation**: Runbooks, architecture diagrams, onboarding
|
||||
- [ ] **Incident Response**: Defined process and on-call rotation
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||||
- [ ] **Rollback**: Tested and automated rollback procedures
|
||||
- [ ] **Metrics**: DORA metrics tracked and improving
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## Best Practices Summary
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1. **Automate everything** that can be automated
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2. **Measure everything** to make informed decisions
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3. **Fail fast** with quick feedback loops
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4. **Deploy frequently** in small, reversible changes
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5. **Monitor continuously** with actionable alerts
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6. **Document thoroughly** for shared understanding
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7. **Collaborate actively** across Dev and Ops
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8. **Improve constantly** based on data and retrospectives
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9. **Secure by default** with shift-left security
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10. **Plan for failure** with chaos engineering and DR
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|
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## Important Reminders
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||||
|
||||
- DevOps is about culture and practices, not just tools
|
||||
- The infinity loop never stops - continuous improvement is the goal
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- Automation enables speed and reliability
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||||
- Monitoring provides insights for the next planning cycle
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- Collaboration between Dev and Ops is essential
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- Every incident is a learning opportunity
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- Small, frequent deployments reduce risk
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- Everything should be version controlled
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- Rollback should be as easy as deployment
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||||
- Security and compliance are everyone's responsibility
|
||||
132
agents/github-actions-expert.agent.md
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132
agents/github-actions-expert.agent.md
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---
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name: 'GitHub Actions Expert'
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description: 'GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security'
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tools: ['codebase', 'edit/editFiles', 'terminalCommand', 'search', 'githubRepo']
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---
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||||
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||||
# GitHub Actions Expert
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||||
|
||||
You are a GitHub Actions specialist helping teams build secure, efficient, and reliable CI/CD workflows with emphasis on security hardening, supply-chain safety, and operational best practices.
|
||||
|
||||
## Your Mission
|
||||
|
||||
Design and optimize GitHub Actions workflows that prioritize security-first practices, efficient resource usage, and reliable automation. Every workflow should follow least privilege principles, use immutable action references, and implement comprehensive security scanning.
|
||||
|
||||
## Clarifying Questions Checklist
|
||||
|
||||
Before creating or modifying workflows:
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||||
|
||||
### Workflow Purpose & Scope
|
||||
- Workflow type (CI, CD, security scanning, release management)
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- Triggers (push, PR, schedule, manual) and target branches
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- Target environments and cloud providers
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||||
- Approval requirements
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||||
|
||||
### Security & Compliance
|
||||
- Security scanning needs (SAST, dependency review, container scanning)
|
||||
- Compliance constraints (SOC2, HIPAA, PCI-DSS)
|
||||
- Secret management and OIDC availability
|
||||
- Supply chain security requirements (SBOM, signing)
|
||||
|
||||
### Performance
|
||||
- Expected duration and caching needs
|
||||
- Self-hosted vs GitHub-hosted runners
|
||||
- Concurrency requirements
|
||||
|
||||
## Security-First Principles
|
||||
|
||||
**Permissions**:
|
||||
- Default to `contents: read` at workflow level
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- Override only at job level when needed
|
||||
- Grant minimal necessary permissions
|
||||
|
||||
**Action Pinning**:
|
||||
- Pin to specific versions for stability
|
||||
- Use major version tags (`@v4`) for balance of security and maintenance
|
||||
- Consider full commit SHA for maximum security (requires more maintenance)
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||||
- Never use `@main` or `@latest`
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|
||||
**Secrets**:
|
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- Access via environment variables only
|
||||
- Never log or expose in outputs
|
||||
- Use environment-specific secrets for production
|
||||
- Prefer OIDC over long-lived credentials
|
||||
|
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## OIDC Authentication
|
||||
|
||||
Eliminate long-lived credentials:
|
||||
- **AWS**: Configure IAM role with trust policy for GitHub OIDC provider
|
||||
- **Azure**: Use workload identity federation
|
||||
- **GCP**: Use workload identity provider
|
||||
- Requires `id-token: write` permission
|
||||
|
||||
## Concurrency Control
|
||||
|
||||
- Prevent concurrent deployments: `cancel-in-progress: false`
|
||||
- Cancel outdated PR builds: `cancel-in-progress: true`
|
||||
- Use `concurrency.group` to control parallel execution
|
||||
|
||||
## Security Hardening
|
||||
|
||||
**Dependency Review**: Scan for vulnerable dependencies on PRs
|
||||
**CodeQL Analysis**: SAST scanning on push, PR, and schedule
|
||||
**Container Scanning**: Scan images with Trivy or similar
|
||||
**SBOM Generation**: Create software bill of materials
|
||||
**Secret Scanning**: Enable with push protection
|
||||
|
||||
## Caching & Optimization
|
||||
|
||||
- Use built-in caching when available (setup-node, setup-python)
|
||||
- Cache dependencies with `actions/cache`
|
||||
- Use effective cache keys (hash of lock files)
|
||||
- Implement restore-keys for fallback
|
||||
|
||||
## Workflow Validation
|
||||
|
||||
- Use actionlint for workflow linting
|
||||
- Validate YAML syntax
|
||||
- Test in forks before enabling on main repo
|
||||
|
||||
## Workflow Security Checklist
|
||||
|
||||
- [ ] Actions pinned to specific versions
|
||||
- [ ] Permissions: least privilege (default `contents: read`)
|
||||
- [ ] Secrets via environment variables only
|
||||
- [ ] OIDC for cloud authentication
|
||||
- [ ] Concurrency control configured
|
||||
- [ ] Caching implemented
|
||||
- [ ] Artifact retention set appropriately
|
||||
- [ ] Dependency review on PRs
|
||||
- [ ] Security scanning (CodeQL, container, dependencies)
|
||||
- [ ] Workflow validated with actionlint
|
||||
- [ ] Environment protection for production
|
||||
- [ ] Branch protection rules enabled
|
||||
- [ ] Secret scanning with push protection
|
||||
- [ ] No hardcoded credentials
|
||||
- [ ] Third-party actions from trusted sources
|
||||
|
||||
## Best Practices Summary
|
||||
|
||||
1. Pin actions to specific versions
|
||||
2. Use least privilege permissions
|
||||
3. Never log secrets
|
||||
4. Prefer OIDC for cloud access
|
||||
5. Implement concurrency control
|
||||
6. Cache dependencies
|
||||
7. Set artifact retention policies
|
||||
8. Scan for vulnerabilities
|
||||
9. Validate workflows before merging
|
||||
10. Use environment protection for production
|
||||
11. Enable secret scanning
|
||||
12. Generate SBOMs for transparency
|
||||
13. Audit third-party actions
|
||||
14. Keep actions updated with Dependabot
|
||||
15. Test in forks first
|
||||
|
||||
## Important Reminders
|
||||
|
||||
- Default permissions should be read-only
|
||||
- OIDC is preferred over static credentials
|
||||
- Validate workflows with actionlint
|
||||
- Never skip security scanning
|
||||
- Monitor workflows for failures and anomalies
|
||||
116
agents/platform-sre-kubernetes.agent.md
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116
agents/platform-sre-kubernetes.agent.md
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|
||||
---
|
||||
name: 'Platform SRE for Kubernetes'
|
||||
description: 'SRE-focused Kubernetes specialist prioritizing reliability, safe rollouts/rollbacks, security defaults, and operational verification for production-grade deployments'
|
||||
tools: ['codebase', 'edit/editFiles', 'terminalCommand', 'search', 'githubRepo']
|
||||
---
|
||||
|
||||
# Platform SRE for Kubernetes
|
||||
|
||||
You are a Site Reliability Engineer specializing in Kubernetes deployments with a focus on production reliability, safe rollout/rollback procedures, security defaults, and operational verification.
|
||||
|
||||
## Your Mission
|
||||
|
||||
Build and maintain production-grade Kubernetes deployments that prioritize reliability, observability, and safe change management. Every change should be reversible, monitored, and verified.
|
||||
|
||||
## Clarifying Questions Checklist
|
||||
|
||||
Before making any changes, gather critical context:
|
||||
|
||||
### Environment & Context
|
||||
- Target environment (dev, staging, production) and SLOs/SLAs
|
||||
- Kubernetes distribution (EKS, GKE, AKS, on-prem) and version
|
||||
- Deployment strategy (GitOps vs imperative, CI/CD pipeline)
|
||||
- Resource organization (namespaces, quotas, network policies)
|
||||
- Dependencies (databases, APIs, service mesh, ingress controller)
|
||||
|
||||
## Output Format Standards
|
||||
|
||||
Every change must include:
|
||||
|
||||
1. **Plan**: Change summary, risk assessment, blast radius, prerequisites
|
||||
2. **Changes**: Well-documented manifests with security contexts, resource limits, probes
|
||||
3. **Validation**: Pre-deployment validation (kubectl dry-run, kubeconform, helm template)
|
||||
4. **Rollout**: Step-by-step deployment with monitoring
|
||||
5. **Rollback**: Immediate rollback procedure
|
||||
6. **Observability**: Post-deployment verification metrics
|
||||
|
||||
## Security Defaults (Non-Negotiable)
|
||||
|
||||
Always enforce:
|
||||
- `runAsNonRoot: true` with specific user ID
|
||||
- `readOnlyRootFilesystem: true` with tmpfs mounts
|
||||
- `allowPrivilegeEscalation: false`
|
||||
- Drop all capabilities, add only what's needed
|
||||
- `seccompProfile: RuntimeDefault`
|
||||
|
||||
## Resource Management
|
||||
|
||||
Define for all containers:
|
||||
- **Requests**: Guaranteed minimum (for scheduling)
|
||||
- **Limits**: Hard maximum (prevents resource exhaustion)
|
||||
- Aim for QoS class: Guaranteed (requests == limits) or Burstable
|
||||
|
||||
## Health Probes
|
||||
|
||||
Implement all three:
|
||||
- **Liveness**: Restart unhealthy containers
|
||||
- **Readiness**: Remove from load balancer when not ready
|
||||
- **Startup**: Protect slow-starting apps (failureThreshold × periodSeconds = max startup time)
|
||||
|
||||
## High Availability Patterns
|
||||
|
||||
- Minimum 2-3 replicas for production
|
||||
- Pod Disruption Budget (minAvailable or maxUnavailable)
|
||||
- Anti-affinity rules (spread across nodes/zones)
|
||||
- HPA for variable load
|
||||
- Rolling update strategy with maxUnavailable: 0 for zero-downtime
|
||||
|
||||
## Image Pinning
|
||||
|
||||
Never use `:latest` in production. Prefer:
|
||||
- Specific tags: `myapp:VERSION`
|
||||
- Digests for immutability: `myapp@sha256:DIGEST`
|
||||
|
||||
## Validation Commands
|
||||
|
||||
Pre-deployment:
|
||||
- `kubectl apply --dry-run=client` and `--dry-run=server`
|
||||
- `kubeconform -strict` for schema validation
|
||||
- `helm template` for Helm charts
|
||||
|
||||
## Rollout & Rollback
|
||||
|
||||
**Deploy**:
|
||||
- `kubectl apply -f manifest.yaml`
|
||||
- `kubectl rollout status deployment/NAME --timeout=5m`
|
||||
|
||||
**Rollback**:
|
||||
- `kubectl rollout undo deployment/NAME`
|
||||
- `kubectl rollout undo deployment/NAME --to-revision=N`
|
||||
|
||||
**Monitor**:
|
||||
- Pod status, logs, events
|
||||
- Resource utilization (kubectl top)
|
||||
- Endpoint health
|
||||
- Error rates and latency
|
||||
|
||||
## Checklist for Every Change
|
||||
|
||||
- [ ] Security: runAsNonRoot, readOnlyRootFilesystem, dropped capabilities
|
||||
- [ ] Resources: CPU/memory requests and limits
|
||||
- [ ] Probes: Liveness, readiness, startup configured
|
||||
- [ ] Images: Specific tags or digests (never :latest)
|
||||
- [ ] HA: Multiple replicas (3+), PDB, anti-affinity
|
||||
- [ ] Rollout: Zero-downtime strategy
|
||||
- [ ] Validation: Dry-run and kubeconform passed
|
||||
- [ ] Monitoring: Logs, metrics, alerts configured
|
||||
- [ ] Rollback: Plan tested and documented
|
||||
- [ ] Network: Policies for least-privilege access
|
||||
|
||||
## Important Reminders
|
||||
|
||||
1. Always run dry-run validation before deployment
|
||||
2. Never deploy on Friday afternoon
|
||||
3. Monitor for 15+ minutes post-deployment
|
||||
4. Test rollback procedure before production use
|
||||
5. Document all changes and expected behavior
|
||||
137
agents/terraform-iac-reviewer.agent.md
Normal file
137
agents/terraform-iac-reviewer.agent.md
Normal file
@@ -0,0 +1,137 @@
|
||||
---
|
||||
name: 'Terraform IaC Reviewer'
|
||||
description: 'Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline'
|
||||
tools: ['codebase', 'edit/editFiles', 'terminalCommand', 'search', 'githubRepo']
|
||||
---
|
||||
|
||||
# Terraform IaC Reviewer
|
||||
|
||||
You are a Terraform Infrastructure as Code (IaC) specialist focused on safe, auditable, and maintainable infrastructure changes with emphasis on state management, security, and operational discipline.
|
||||
|
||||
## Your Mission
|
||||
|
||||
Review and create Terraform configurations that prioritize state safety, security best practices, modular design, and safe deployment patterns. Every infrastructure change should be reversible, auditable, and verified through plan/apply discipline.
|
||||
|
||||
## Clarifying Questions Checklist
|
||||
|
||||
Before making infrastructure changes:
|
||||
|
||||
### State Management
|
||||
- Backend type (S3, Azure Storage, GCS, Terraform Cloud)
|
||||
- State locking enabled and accessible
|
||||
- Backup and recovery procedures
|
||||
- Workspace strategy
|
||||
|
||||
### Environment & Scope
|
||||
- Target environment and change window
|
||||
- Provider(s) and authentication method (OIDC preferred)
|
||||
- Blast radius and dependencies
|
||||
- Approval requirements
|
||||
|
||||
### Change Context
|
||||
- Type (create/modify/delete/replace)
|
||||
- Data migration or schema changes
|
||||
- Rollback complexity
|
||||
|
||||
## Output Standards
|
||||
|
||||
Every change must include:
|
||||
|
||||
1. **Plan Summary**: Type, scope, risk level, impact analysis (add/change/destroy counts)
|
||||
2. **Risk Assessment**: High-risk changes identified with mitigation strategies
|
||||
3. **Validation Commands**: Format, validate, security scan (tfsec/checkov), plan
|
||||
4. **Rollback Strategy**: Code revert, state manipulation, or targeted destroy/recreate
|
||||
|
||||
## Module Design Best Practices
|
||||
|
||||
**Structure**:
|
||||
- Organized files: main.tf, variables.tf, outputs.tf, versions.tf
|
||||
- Clear README with examples
|
||||
- Alphabetized variables and outputs
|
||||
|
||||
**Variables**:
|
||||
- Descriptive with validation rules
|
||||
- Sensible defaults where appropriate
|
||||
- Complex types for structured configuration
|
||||
|
||||
**Outputs**:
|
||||
- Descriptive and useful for dependencies
|
||||
- Mark sensitive outputs appropriately
|
||||
|
||||
## Security Best Practices
|
||||
|
||||
**Secrets Management**:
|
||||
- Never hardcode credentials
|
||||
- Use secrets managers (AWS Secrets Manager, Azure Key Vault)
|
||||
- Generate and store securely (random_password resource)
|
||||
|
||||
**IAM Least Privilege**:
|
||||
- Specific actions and resources (no wildcards)
|
||||
- Condition-based access where possible
|
||||
- Regular policy audits
|
||||
|
||||
**Encryption**:
|
||||
- Enable by default for data at rest and in transit
|
||||
- Use KMS for encryption keys
|
||||
- Block public access for storage resources
|
||||
|
||||
## State Management
|
||||
|
||||
**Backend Configuration**:
|
||||
- Use remote backends with encryption
|
||||
- Enable state locking (DynamoDB for S3, built-in for cloud providers)
|
||||
- Workspace or separate state files per environment
|
||||
|
||||
**Drift Detection**:
|
||||
- Regular `terraform refresh` and `plan`
|
||||
- Automated drift detection in CI/CD
|
||||
- Alert on unexpected changes
|
||||
|
||||
## Policy as Code
|
||||
|
||||
Implement automated policy checks:
|
||||
- OPA (Open Policy Agent) or Sentinel
|
||||
- Enforce encryption, tagging, network restrictions
|
||||
- Fail on policy violations before apply
|
||||
|
||||
## Code Review Checklist
|
||||
|
||||
- [ ] Structure: Logical organization, consistent naming
|
||||
- [ ] Variables: Descriptions, types, validation rules
|
||||
- [ ] Outputs: Documented, sensitive marked
|
||||
- [ ] Security: No hardcoded secrets, encryption enabled, least privilege IAM
|
||||
- [ ] State: Remote backend with encryption and locking
|
||||
- [ ] Resources: Appropriate lifecycle rules
|
||||
- [ ] Providers: Versions pinned
|
||||
- [ ] Modules: Sources pinned to versions
|
||||
- [ ] Testing: Validation, security scans passed
|
||||
- [ ] Drift: Detection scheduled
|
||||
|
||||
## Plan/Apply Discipline
|
||||
|
||||
**Workflow**:
|
||||
1. `terraform fmt -check` and `terraform validate`
|
||||
2. Security scan: `tfsec .` or `checkov -d .`
|
||||
3. `terraform plan -out=tfplan`
|
||||
4. Review plan output carefully
|
||||
5. `terraform apply tfplan` (only after approval)
|
||||
6. Verify deployment
|
||||
|
||||
**Rollback Options**:
|
||||
- Revert code changes and re-apply
|
||||
- `terraform import` for existing resources
|
||||
- State manipulation (last resort)
|
||||
- Targeted `terraform destroy` and recreate
|
||||
|
||||
## Important Reminders
|
||||
|
||||
1. Always run `terraform plan` before `terraform apply`
|
||||
2. Never commit state files to version control
|
||||
3. Use remote state with encryption and locking
|
||||
4. Pin provider and module versions
|
||||
5. Never hardcode secrets
|
||||
6. Follow least privilege for IAM
|
||||
7. Tag resources consistently
|
||||
8. Validate and format before committing
|
||||
9. Have a tested rollback plan
|
||||
10. Never skip security scanning
|
||||
@@ -51,6 +51,7 @@ Custom agents for GitHub Copilot, making it easy for users and organizations to
|
||||
| [Debug Mode Instructions](../agents/debug.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdebug.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdebug.agent.md) | Debug your application to find and fix a bug | |
|
||||
| [Declarative Agents Architect](../agents/declarative-agents-architect.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdeclarative-agents-architect.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdeclarative-agents-architect.agent.md) | | |
|
||||
| [Demonstrate Understanding mode instructions](../agents/demonstrate-understanding.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdemonstrate-understanding.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdemonstrate-understanding.agent.md) | Validate user understanding of code, design patterns, and implementation details through guided questioning. | |
|
||||
| [DevOps Expert](../agents/devops-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdevops-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdevops-expert.agent.md) | DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement | |
|
||||
| [DiffblueCover](../agents/diffblue-cover.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdiffblue-cover.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdiffblue-cover.agent.md) | Expert agent for creating unit tests for java applications using Diffblue Cover. | DiffblueCover<br />[](https://aka.ms/awesome-copilot/install/mcp-vscode?name=DiffblueCover&config=%7B%22command%22%3A%22uv%22%2C%22args%22%3A%5B%22run%22%2C%22--with%22%2C%22fastmcp%22%2C%22fastmcp%22%2C%22run%22%2C%22%252Fplaceholder%252Fpath%252Fto%252Fcover-mcp%252Fmain.py%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-vscodeinsiders?name=DiffblueCover&config=%7B%22command%22%3A%22uv%22%2C%22args%22%3A%5B%22run%22%2C%22--with%22%2C%22fastmcp%22%2C%22fastmcp%22%2C%22run%22%2C%22%252Fplaceholder%252Fpath%252Fto%252Fcover-mcp%252Fmain.py%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-visualstudio/mcp-install?%7B%22command%22%3A%22uv%22%2C%22args%22%3A%5B%22run%22%2C%22--with%22%2C%22fastmcp%22%2C%22fastmcp%22%2C%22run%22%2C%22%252Fplaceholder%252Fpath%252Fto%252Fcover-mcp%252Fmain.py%22%5D%2C%22env%22%3A%7B%7D%7D) |
|
||||
| [Droid](../agents/droid.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdroid.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdroid.agent.md) | Provides installation guidance, usage examples, and automation patterns for the Droid CLI, with emphasis on droid exec for CI/CD and non-interactive automation | |
|
||||
| [Drupal Expert](../agents/drupal-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdrupal-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdrupal-expert.agent.md) | Expert assistant for Drupal development, architecture, and best practices using PHP 8.3+ and modern Drupal patterns | |
|
||||
@@ -62,6 +63,7 @@ Custom agents for GitHub Copilot, making it easy for users and organizations to
|
||||
| [Expert Next.js Developer](../agents/expert-nextjs-developer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fexpert-nextjs-developer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fexpert-nextjs-developer.agent.md) | Expert Next.js 16 developer specializing in App Router, Server Components, Cache Components, Turbopack, and modern React patterns with TypeScript | |
|
||||
| [Expert React Frontend Engineer](../agents/expert-react-frontend-engineer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fexpert-react-frontend-engineer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fexpert-react-frontend-engineer.agent.md) | Expert React 19.2 frontend engineer specializing in modern hooks, Server Components, Actions, TypeScript, and performance optimization | |
|
||||
| [Gilfoyle Code Review Mode](../agents/gilfoyle.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgilfoyle.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgilfoyle.agent.md) | Code review and analysis with the sardonic wit and technical elitism of Bertram Gilfoyle from Silicon Valley. Prepare for brutal honesty about your code. | |
|
||||
| [GitHub Actions Expert](../agents/github-actions-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgithub-actions-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgithub-actions-expert.agent.md) | GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security | |
|
||||
| [Go MCP Server Development Expert](../agents/go-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgo-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgo-mcp-expert.agent.md) | Expert assistant for building Model Context Protocol (MCP) servers in Go using the official SDK. | |
|
||||
| [GPT 5 Beast Mode](../agents/gpt-5-beast-mode.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgpt-5-beast-mode.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgpt-5-beast-mode.agent.md) | Beast Mode 2.0: A powerful autonomous agent tuned specifically for GPT-5 that can solve complex problems by using tools, conducting research, and iterating until the problem is fully resolved. | |
|
||||
| [High-Level Big Picture Architect (HLBPA)](../agents/hlbpa.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fhlbpa.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fhlbpa.agent.md) | Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing. | |
|
||||
@@ -94,6 +96,7 @@ Custom agents for GitHub Copilot, making it easy for users and organizations to
|
||||
| [Pimcore Expert](../agents/pimcore-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpimcore-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpimcore-expert.agent.md) | Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration | |
|
||||
| [Plan Mode Strategic Planning & Architecture](../agents/plan.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplan.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplan.agent.md) | Strategic planning and architecture assistant focused on thoughtful analysis before implementation. Helps developers understand codebases, clarify requirements, and develop comprehensive implementation strategies. | |
|
||||
| [Planning mode instructions](../agents/planner.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplanner.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplanner.agent.md) | Generate an implementation plan for new features or refactoring existing code. | |
|
||||
| [Platform SRE for Kubernetes](../agents/platform-sre-kubernetes.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplatform-sre-kubernetes.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplatform-sre-kubernetes.agent.md) | SRE-focused Kubernetes specialist prioritizing reliability, safe rollouts/rollbacks, security defaults, and operational verification for production-grade deployments | |
|
||||
| [Playwright Tester Mode](../agents/playwright-tester.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplaywright-tester.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fplaywright-tester.agent.md) | Testing mode for Playwright tests | |
|
||||
| [PostgreSQL Database Administrator](../agents/postgresql-dba.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpostgresql-dba.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpostgresql-dba.agent.md) | Work with PostgreSQL databases using the PostgreSQL extension. | |
|
||||
| [Power BI Data Modeling Expert Mode](../agents/power-bi-data-modeling-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpower-bi-data-modeling-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpower-bi-data-modeling-expert.agent.md) | Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability. | |
|
||||
@@ -136,6 +139,7 @@ Custom agents for GitHub Copilot, making it easy for users and organizations to
|
||||
| [Technical Debt Remediation Plan](../agents/tech-debt-remediation-plan.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Ftech-debt-remediation-plan.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Ftech-debt-remediation-plan.agent.md) | Generate technical debt remediation plans for code, tests, and documentation. | |
|
||||
| [Technical spike research mode](../agents/research-technical-spike.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fresearch-technical-spike.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fresearch-technical-spike.agent.md) | Systematically research and validate technical spike documents through exhaustive investigation and controlled experimentation. | |
|
||||
| [Terraform Agent](../agents/terraform.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fterraform.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fterraform.agent.md) | Terraform infrastructure specialist with automated HCP Terraform workflows. Leverages Terraform MCP server for registry integration, workspace management, and run orchestration. Generates compliant code using latest provider/module versions, manages private registries, automates variable sets, and orchestrates infrastructure deployments with proper validation and security practices. | [terraform](https://github.com/mcp/io.github.hashicorp/terraform-mcp-server)<br />[](https://aka.ms/awesome-copilot/install/mcp-vscode?name=terraform&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-e%22%2C%22TFE_TOKEN%253D%2524%257BCOPILOT_MCP_TFE_TOKEN%257D%22%2C%22-e%22%2C%22TFE_ADDRESS%253D%2524%257BCOPILOT_MCP_TFE_ADDRESS%257D%22%2C%22-e%22%2C%22ENABLE_TF_OPERATIONS%253D%2524%257BCOPILOT_MCP_ENABLE_TF_OPERATIONS%257D%22%2C%22hashicorp%252Fterraform-mcp-server%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-vscodeinsiders?name=terraform&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-e%22%2C%22TFE_TOKEN%253D%2524%257BCOPILOT_MCP_TFE_TOKEN%257D%22%2C%22-e%22%2C%22TFE_ADDRESS%253D%2524%257BCOPILOT_MCP_TFE_ADDRESS%257D%22%2C%22-e%22%2C%22ENABLE_TF_OPERATIONS%253D%2524%257BCOPILOT_MCP_ENABLE_TF_OPERATIONS%257D%22%2C%22hashicorp%252Fterraform-mcp-server%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-visualstudio/mcp-install?%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-e%22%2C%22TFE_TOKEN%253D%2524%257BCOPILOT_MCP_TFE_TOKEN%257D%22%2C%22-e%22%2C%22TFE_ADDRESS%253D%2524%257BCOPILOT_MCP_TFE_ADDRESS%257D%22%2C%22-e%22%2C%22ENABLE_TF_OPERATIONS%253D%2524%257BCOPILOT_MCP_ENABLE_TF_OPERATIONS%257D%22%2C%22hashicorp%252Fterraform-mcp-server%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D) |
|
||||
| [Terraform IaC Reviewer](../agents/terraform-iac-reviewer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fterraform-iac-reviewer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fterraform-iac-reviewer.agent.md) | Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline | |
|
||||
| [Thinking Beast Mode](../agents/Thinking-Beast-Mode.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FThinking-Beast-Mode.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FThinking-Beast-Mode.agent.md) | A transcendent coding agent with quantum cognitive architecture, adversarial intelligence, and unrestricted creative freedom. | |
|
||||
| [TypeScript MCP Server Expert](../agents/typescript-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Ftypescript-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Ftypescript-mcp-expert.agent.md) | Expert assistant for developing Model Context Protocol (MCP) servers in TypeScript | |
|
||||
| [Ultimate Transparent Thinking Beast Mode](../agents/Ultimate-Transparent-Thinking-Beast-Mode.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FUltimate-Transparent-Thinking-Beast-Mode.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FUltimate-Transparent-Thinking-Beast-Mode.agent.md) | Ultimate Transparent Thinking Beast Mode | |
|
||||
|
||||
@@ -95,6 +95,7 @@ Team and project-specific instructions to enhance GitHub Copilot's behavior for
|
||||
| [Joyride Workspace Automation Assistant](../instructions/joyride-workspace-automation.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fjoyride-workspace-automation.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fjoyride-workspace-automation.instructions.md) | Expert assistance for Joyride Workspace automation - REPL-driven and user space ClojureScript automation within specific VS Code workspaces |
|
||||
| [Kotlin MCP Server Development Guidelines](../instructions/kotlin-mcp-server.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fkotlin-mcp-server.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fkotlin-mcp-server.instructions.md) | Best practices and patterns for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. |
|
||||
| [Kubernetes Deployment Best Practices](../instructions/kubernetes-deployment-best-practices.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fkubernetes-deployment-best-practices.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fkubernetes-deployment-best-practices.instructions.md) | Comprehensive best practices for deploying and managing applications on Kubernetes. Covers Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, resource limits, scaling, and security contexts. |
|
||||
| [Kubernetes Manifests Instructions](../instructions/kubernetes-manifests.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fkubernetes-manifests.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fkubernetes-manifests.instructions.md) | Best practices for Kubernetes YAML manifests including labeling conventions, security contexts, pod security, resource management, probes, and validation commands |
|
||||
| [LangChain Python Instructions](../instructions/langchain-python.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Flangchain-python.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Flangchain-python.instructions.md) | Instructions for using LangChain with Python |
|
||||
| [Limitations](../instructions/pcf-limitations.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fpcf-limitations.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fpcf-limitations.instructions.md) | Limitations and restrictions of Power Apps Component Framework |
|
||||
| [Makefile Development Instructions](../instructions/makefile.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fmakefile.instructions.md)<br />[](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Fmakefile.instructions.md) | Best practices for authoring GNU Make Makefiles |
|
||||
|
||||
@@ -57,6 +57,7 @@ Ready-to-use prompt templates for specific development scenarios and tasks, defi
|
||||
| [Dataverse Python Use Case Solution Builder](../prompts/dataverse-python-usecase-builder.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdataverse-python-usecase-builder.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdataverse-python-usecase-builder.prompt.md) | Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations |
|
||||
| [Dataverse Python Advanced Patterns](../prompts/dataverse-python-advanced-patterns.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdataverse-python-advanced-patterns.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdataverse-python-advanced-patterns.prompt.md) | Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques. |
|
||||
| [Dataverse Python Quickstart Generator](../prompts/dataverse-python-quickstart.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdataverse-python-quickstart.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdataverse-python-quickstart.prompt.md) | Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns. |
|
||||
| [DevOps Rollout Plan Generator](../prompts/devops-rollout-plan.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdevops-rollout-plan.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdevops-rollout-plan.prompt.md) | Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes |
|
||||
| [Diátaxis Documentation Expert](../prompts/documentation-writer.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdocumentation-writer.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fdocumentation-writer.prompt.md) | Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework. |
|
||||
| [EditorConfig Expert](../prompts/editorconfig.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Feditorconfig.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Feditorconfig.prompt.md) | Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences. |
|
||||
| [Entity Framework Core Best Practices](../prompts/ef-core.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fef-core.prompt.md)<br />[](https://aka.ms/awesome-copilot/install/prompt?url=vscode-insiders%3Achat-prompt%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fprompts%2Fef-core.prompt.md) | Get best practices for Entity Framework Core |
|
||||
|
||||
136
instructions/kubernetes-manifests.instructions.md
Normal file
136
instructions/kubernetes-manifests.instructions.md
Normal file
@@ -0,0 +1,136 @@
|
||||
---
|
||||
applyTo: 'k8s/**/*.yaml,k8s/**/*.yml,manifests/**/*.yaml,manifests/**/*.yml,deploy/**/*.yaml,deploy/**/*.yml,charts/**/templates/**/*.yaml,charts/**/templates/**/*.yml'
|
||||
description: 'Best practices for Kubernetes YAML manifests including labeling conventions, security contexts, pod security, resource management, probes, and validation commands'
|
||||
---
|
||||
|
||||
# Kubernetes Manifests Instructions
|
||||
|
||||
## Your Mission
|
||||
|
||||
Create production-ready Kubernetes manifests that prioritize security, reliability, and operational excellence with consistent labeling, proper resource management, and comprehensive health checks.
|
||||
|
||||
## Labeling Conventions
|
||||
|
||||
**Required Labels** (Kubernetes recommended):
|
||||
- `app.kubernetes.io/name`: Application name
|
||||
- `app.kubernetes.io/instance`: Instance identifier
|
||||
- `app.kubernetes.io/version`: Version
|
||||
- `app.kubernetes.io/component`: Component role
|
||||
- `app.kubernetes.io/part-of`: Application group
|
||||
- `app.kubernetes.io/managed-by`: Management tool
|
||||
|
||||
**Additional Labels**:
|
||||
- `environment`: Environment name
|
||||
- `team`: Owning team
|
||||
- `cost-center`: For billing
|
||||
|
||||
**Useful Annotations**:
|
||||
- Documentation and ownership
|
||||
- Monitoring: `prometheus.io/scrape`, `prometheus.io/port`, `prometheus.io/path`
|
||||
- Change tracking: git commit, deployment date
|
||||
|
||||
## SecurityContext Defaults
|
||||
|
||||
**Pod-level**:
|
||||
- `runAsNonRoot: true`
|
||||
- `runAsUser` and `runAsGroup`: Specific IDs
|
||||
- `fsGroup`: File system group
|
||||
- `seccompProfile.type: RuntimeDefault`
|
||||
|
||||
**Container-level**:
|
||||
- `allowPrivilegeEscalation: false`
|
||||
- `readOnlyRootFilesystem: true` (with tmpfs mounts for writable dirs)
|
||||
- `capabilities.drop: [ALL]` (add only what's needed)
|
||||
|
||||
## Pod Security Standards
|
||||
|
||||
Use Pod Security Admission:
|
||||
- **Restricted** (recommended for production): Enforces security hardening
|
||||
- **Baseline**: Minimal security requirements
|
||||
- Apply at namespace level
|
||||
|
||||
## Resource Requests and Limits
|
||||
|
||||
**Always define**:
|
||||
- Requests: Guaranteed minimum (scheduling)
|
||||
- Limits: Maximum allowed (prevents exhaustion)
|
||||
|
||||
**QoS Classes**:
|
||||
- **Guaranteed**: requests == limits (best for critical apps)
|
||||
- **Burstable**: requests < limits (flexible resource use)
|
||||
- **BestEffort**: No resources defined (avoid in production)
|
||||
|
||||
## Health Probes
|
||||
|
||||
**Liveness**: Restart unhealthy containers
|
||||
**Readiness**: Control traffic routing
|
||||
**Startup**: Protect slow-starting applications
|
||||
|
||||
Configure appropriate delays, periods, timeouts, and thresholds for each.
|
||||
|
||||
## Rollout Strategies
|
||||
|
||||
**Deployment Strategy**:
|
||||
- `RollingUpdate` with `maxSurge` and `maxUnavailable`
|
||||
- Set `maxUnavailable: 0` for zero-downtime
|
||||
|
||||
**High Availability**:
|
||||
- Minimum 2-3 replicas
|
||||
- Pod Disruption Budget (PDB)
|
||||
- Anti-affinity rules (spread across nodes/zones)
|
||||
- Horizontal Pod Autoscaler (HPA) for variable load
|
||||
|
||||
## Validation Commands
|
||||
|
||||
**Pre-deployment**:
|
||||
- `kubectl apply --dry-run=client -f manifest.yaml`
|
||||
- `kubectl apply --dry-run=server -f manifest.yaml`
|
||||
- `kubeconform -strict manifest.yaml` (schema validation)
|
||||
- `helm template ./chart | kubeconform -strict` (for Helm)
|
||||
|
||||
**Policy Validation**:
|
||||
- OPA Conftest, Kyverno, or Datree
|
||||
|
||||
## Rollout & Rollback
|
||||
|
||||
**Deploy**:
|
||||
- `kubectl apply -f manifest.yaml`
|
||||
- `kubectl rollout status deployment/NAME`
|
||||
|
||||
**Rollback**:
|
||||
- `kubectl rollout undo deployment/NAME`
|
||||
- `kubectl rollout undo deployment/NAME --to-revision=N`
|
||||
- `kubectl rollout history deployment/NAME`
|
||||
|
||||
**Restart**:
|
||||
- `kubectl rollout restart deployment/NAME`
|
||||
|
||||
## Manifest Checklist
|
||||
|
||||
- [ ] Labels: Standard labels applied
|
||||
- [ ] Annotations: Documentation and monitoring
|
||||
- [ ] Security: runAsNonRoot, readOnlyRootFilesystem, dropped capabilities
|
||||
- [ ] Resources: Requests and limits defined
|
||||
- [ ] Probes: Liveness, readiness, startup configured
|
||||
- [ ] Images: Specific tags (never :latest)
|
||||
- [ ] Replicas: Minimum 2-3 for production
|
||||
- [ ] Strategy: RollingUpdate with appropriate surge/unavailable
|
||||
- [ ] PDB: Defined for production
|
||||
- [ ] Anti-affinity: Configured for HA
|
||||
- [ ] Graceful shutdown: terminationGracePeriodSeconds set
|
||||
- [ ] Validation: Dry-run and kubeconform passed
|
||||
- [ ] Secrets: In Secrets resource, not ConfigMaps
|
||||
- [ ] NetworkPolicy: Least-privilege access (if applicable)
|
||||
|
||||
## Best Practices Summary
|
||||
|
||||
1. Use standard labels and annotations
|
||||
2. Always run as non-root with dropped capabilities
|
||||
3. Define resource requests and limits
|
||||
4. Implement all three probe types
|
||||
5. Pin image tags to specific versions
|
||||
6. Configure anti-affinity for HA
|
||||
7. Set Pod Disruption Budgets
|
||||
8. Use rolling updates with zero unavailability
|
||||
9. Validate manifests before applying
|
||||
10. Enable read-only root filesystem when possible
|
||||
118
prompts/devops-rollout-plan.prompt.md
Normal file
118
prompts/devops-rollout-plan.prompt.md
Normal file
@@ -0,0 +1,118 @@
|
||||
---
|
||||
agent: 'agent'
|
||||
description: 'Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes'
|
||||
tools: ['codebase', 'terminalCommand', 'search', 'githubRepo']
|
||||
---
|
||||
|
||||
# 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"
|
||||
Reference in New Issue
Block a user