Cloud Devops

Cloud/DevOps Workflow Bundle

Overview

Comprehensive cloud and DevOps workflow for infrastructure provisioning, container orchestration, CI/CD pipelines, monitoring, and cloud-native application development.

When to Use This Workflow

Use this workflow when:

• Setting up cloud infrastructure
• Implementing CI/CD pipelines
• Deploying Kubernetes applications
• Configuring monitoring and observability
• Managing cloud costs
• Implementing DevOps practices

Workflow Phases

Phase 1: Cloud Infrastructure Setup

Skills to Invoke

• cloud-architect - Cloud architecture
• azure-functions - Azure development
• gcp-cloud-run - GCP development
• terraform-specialist - Advanced Terraform

Actions

1. Design cloud architecture
2. Set up accounts and billing
3. Configure networking
4. Provision resources
5. Set up IAM

Copy-Paste Prompts

Use @cloud-architect to design multi-cloud architecture

Phase 2: Container Orchestration

Skills to Invoke

• kubernetes-architect - Kubernetes architecture
• docker-expert - Docker containerization
• helm-chart-scaffolding - Helm charts

Actions

1. Design container architecture
2. Create Dockerfiles
3. Build container images
4. Write K8s manifests
5. Deploy to cluster
6. Configure networking

Copy-Paste Prompts

Use @kubernetes-architect to design K8s architecture

Use @docker-expert to containerize application

Use @helm-chart-scaffolding to create Helm chart

Phase 3: CI/CD Implementation

Skills to Invoke

• deployment-engineer - Deployment engineering
• github-actions-templates - GitHub Actions

Actions

1. Design deployment pipeline
2. Configure build automation
3. Set up test automation
4. Configure deployment stages
5. Implement rollback strategies
6. Set up notifications

Copy-Paste Prompts

Use @github-actions-templates to create GitHub Actions workflow

Phase 4: Monitoring and Observability

Skills to Invoke

• observability-engineer - Observability engineering
• grafana-dashboards - Grafana dashboards

Actions

1. Design monitoring strategy
2. Set up metrics collection
3. Configure log aggregation
4. Implement distributed tracing
5. Create dashboards
6. Set up alerts

Copy-Paste Prompts

Use @observability-engineer to set up observability stack

Use @grafana-dashboards to create monitoring dashboards

Phase 5: Cloud Security

Skills to Invoke

• secrets-management - Secrets management

Actions

1. Assess cloud security
2. Configure security groups
3. Set up secrets management
4. Implement network policies
5. Configure encryption
6. Set up audit logging

Copy-Paste Prompts

Use @secrets-management to configure secrets

Phase 6: Cost Optimization

Skills to Invoke

Actions

1. Analyze cloud spending
2. Identify optimization opportunities
3. Right-size resources
4. Implement auto-scaling
5. Use reserved instances
6. Set up cost alerts

Copy-Paste Prompts

Phase 7: Disaster Recovery

Skills to Invoke

• incident-responder - Incident response

Actions

1. Design DR strategy
2. Set up backups
3. Create runbooks
4. Test failover
5. Document procedures
6. Train team

Copy-Paste Prompts

Cloud Provider Workflows

AWS

Skills: aws-serverless, aws-penetration-testing
Services: EC2, Lambda, S3, RDS, ECS, EKS

Azure

Skills: azure-functions, azure-ai-projects-py, azure-monitor-opentelemetry-py
Services: Functions, App Service, AKS, Cosmos DB

GCP

Skills: gcp-cloud-run
Services: Cloud Run, GKE, Cloud Functions, BigQuery

Quality Gates

• Infrastructure provisioned
• CI/CD pipeline working
• Monitoring configured
• Security measures in place
• Cost optimization applied
• DR procedures documented

Related Workflow Bundles

• testing-qa - Testing workflows

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.