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

- `aws-skills` - AWS development

- `azure-functions` - Azure development

- `gcp-cloud-run` - GCP development

- `terraform-skill` - Terraform IaC

- `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

Use @terraform-skill to provision AWS infrastructure

Phase 2: Container Orchestration

#### Skills to Invoke

- `kubernetes-architect` - Kubernetes architecture

- `docker-expert` - Docker containerization

- `helm-chart-scaffolding` - Helm charts

- `k8s-manifest-generator` - K8s manifests

- `k8s-security-policies` - K8s security

#### 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

- `cicd-automation-workflow-automate` - CI/CD automation

- `github-actions-templates` - GitHub Actions

- `gitlab-ci-patterns` - GitLab CI

- `deployment-pipeline-design` - Pipeline design

#### 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 @cicd-automation-workflow-automate to set up CI/CD pipeline

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

- `prometheus-configuration` - Prometheus setup

- `datadog-automation` - Datadog integration

- `sentry-automation` - Sentry error tracking

#### 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

- `cloud-penetration-testing` - Cloud pentesting

- `aws-penetration-testing` - AWS security

- `k8s-security-policies` - K8s security

- `secrets-management` - Secrets management

- `mtls-configuration` - mTLS setup

#### 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 @cloud-penetration-testing to assess cloud security

Use @secrets-management to configure secrets

Phase 6: Cost Optimization

#### Skills to Invoke

- `cost-optimization` - Cloud cost optimization

- `database-cloud-optimization-cost-optimize` - Database cost optimization

#### 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

Use @cost-optimization to reduce c