# Cloud Devops

> Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

- Skill: `ghosteken/cloud-devops` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ghosteken/cloud-devops`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ghosteken/cloud-devops/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: Ghosteken (https://skillmd.com/u/ghosteken)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ghosteken/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.