236 lines
5.3 KiB
Markdown
236 lines
5.3 KiB
Markdown
---
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name: cloud-devops
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description: "Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development."
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category: workflow-bundle
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risk: safe
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source: personal
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date_added: "2026-02-27"
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---
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# Cloud/DevOps Workflow Bundle
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## Overview
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Comprehensive cloud and DevOps workflow for infrastructure provisioning, container orchestration, CI/CD pipelines, monitoring, and cloud-native application development.
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## When to Use This Workflow
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Use this workflow when:
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- Setting up cloud infrastructure
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- Implementing CI/CD pipelines
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- Deploying Kubernetes applications
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- Configuring monitoring and observability
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- Managing cloud costs
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- Implementing DevOps practices
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## Workflow Phases
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### Phase 1: Cloud Infrastructure Setup
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#### Skills to Invoke
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- `cloud-architect` - Cloud architecture
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- `aws-skills` - AWS development
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- `azure-functions` - Azure development
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- `gcp-cloud-run` - GCP development
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- `terraform-skill` - Terraform IaC
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- `terraform-specialist` - Advanced Terraform
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#### Actions
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1. Design cloud architecture
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2. Set up accounts and billing
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3. Configure networking
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4. Provision resources
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5. Set up IAM
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#### Copy-Paste Prompts
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```
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Use @cloud-architect to design multi-cloud architecture
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```
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```
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Use @terraform-skill to provision AWS infrastructure
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```
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### Phase 2: Container Orchestration
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#### Skills to Invoke
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- `kubernetes-architect` - Kubernetes architecture
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- `docker-expert` - Docker containerization
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- `helm-chart-scaffolding` - Helm charts
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- `k8s-manifest-generator` - K8s manifests
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- `k8s-security-policies` - K8s security
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#### Actions
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1. Design container architecture
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2. Create Dockerfiles
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3. Build container images
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4. Write K8s manifests
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5. Deploy to cluster
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6. Configure networking
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#### Copy-Paste Prompts
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```
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Use @kubernetes-architect to design K8s architecture
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```
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```
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Use @docker-expert to containerize application
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```
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```
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Use @helm-chart-scaffolding to create Helm chart
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```
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### Phase 3: CI/CD Implementation
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#### Skills to Invoke
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- `deployment-engineer` - Deployment engineering
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- `cicd-automation-workflow-automate` - CI/CD automation
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- `github-actions-templates` - GitHub Actions
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- `gitlab-ci-patterns` - GitLab CI
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- `deployment-pipeline-design` - Pipeline design
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#### Actions
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1. Design deployment pipeline
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2. Configure build automation
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3. Set up test automation
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4. Configure deployment stages
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5. Implement rollback strategies
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6. Set up notifications
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#### Copy-Paste Prompts
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```
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Use @cicd-automation-workflow-automate to set up CI/CD pipeline
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```
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```
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Use @github-actions-templates to create GitHub Actions workflow
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```
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### Phase 4: Monitoring and Observability
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#### Skills to Invoke
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- `observability-engineer` - Observability engineering
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- `grafana-dashboards` - Grafana dashboards
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- `prometheus-configuration` - Prometheus setup
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- `datadog-automation` - Datadog integration
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- `sentry-automation` - Sentry error tracking
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#### Actions
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1. Design monitoring strategy
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2. Set up metrics collection
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3. Configure log aggregation
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4. Implement distributed tracing
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5. Create dashboards
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6. Set up alerts
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#### Copy-Paste Prompts
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```
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Use @observability-engineer to set up observability stack
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```
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```
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Use @grafana-dashboards to create monitoring dashboards
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```
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### Phase 5: Cloud Security
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#### Skills to Invoke
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- `cloud-penetration-testing` - Cloud pentesting
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- `aws-penetration-testing` - AWS security
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- `k8s-security-policies` - K8s security
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- `secrets-management` - Secrets management
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- `mtls-configuration` - mTLS setup
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#### Actions
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1. Assess cloud security
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2. Configure security groups
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3. Set up secrets management
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4. Implement network policies
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5. Configure encryption
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6. Set up audit logging
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#### Copy-Paste Prompts
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```
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Use @cloud-penetration-testing to assess cloud security
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```
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```
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Use @secrets-management to configure secrets
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```
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### Phase 6: Cost Optimization
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#### Skills to Invoke
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- `cost-optimization` - Cloud cost optimization
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- `database-cloud-optimization-cost-optimize` - Database cost optimization
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#### Actions
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1. Analyze cloud spending
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2. Identify optimization opportunities
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3. Right-size resources
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4. Implement auto-scaling
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5. Use reserved instances
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6. Set up cost alerts
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#### Copy-Paste Prompts
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```
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Use @cost-optimization to reduce cloud costs
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```
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### Phase 7: Disaster Recovery
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#### Skills to Invoke
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- `incident-responder` - Incident response
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- `incident-runbook-templates` - Runbook creation
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- `postmortem-writing` - Postmortem documentation
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#### Actions
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1. Design DR strategy
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2. Set up backups
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3. Create runbooks
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4. Test failover
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5. Document procedures
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6. Train team
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#### Copy-Paste Prompts
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```
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Use @incident-runbook-templates to create runbooks
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```
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## Cloud Provider Workflows
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### AWS
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```
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Skills: aws-skills, aws-serverless, aws-penetration-testing
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Services: EC2, Lambda, S3, RDS, ECS, EKS
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```
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### Azure
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```
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Skills: azure-functions, azure-ai-projects-py, azure-monitor-opentelemetry-py
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Services: Functions, App Service, AKS, Cosmos DB
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```
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### GCP
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```
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Skills: gcp-cloud-run
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Services: Cloud Run, GKE, Cloud Functions, BigQuery
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```
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## Quality Gates
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- [ ] Infrastructure provisioned
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- [ ] CI/CD pipeline working
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- [ ] Monitoring configured
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- [ ] Security measures in place
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- [ ] Cost optimization applied
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- [ ] DR procedures documented
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## Related Workflow Bundles
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- `development` - Application development
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- `security-audit` - Security testing
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- `database` - Database operations
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- `testing-qa` - Testing workflows
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