# DevOps Solutions

Flowmason provides powerful capabilities for DevOps, IT operations, and integration workflows. This section covers how to leverage Flowmason for infrastructure automation, CI/CD pipelines, monitoring, and incident response.

## Quick Links

| Topic | Description |
|-------|-------------|
| [DevOps Overview](./devops-overview.md) | Introduction to Flowmason for DevOps |
| [CI/CD Pipelines](./ci-cd-pipelines.md) | Build, test, deploy automation |
| [Monitoring & Alerting](./monitoring-alerting.md) | Health checks and alerting workflows |
| [Incident Response](./incident-response.md) | Auto-remediation and escalation |
| [API Integration](./api-integration.md) | REST API orchestration patterns |

## Use Cases

| Use Case | Description |
|----------|-------------|
| [GitHub Actions Integration](./use-cases/github-actions.md) | Integrate with GitHub CI/CD |
| [Kubernetes Deployment](./use-cases/kubernetes-deploy.md) | Deploy to K8s clusters |
| [Multi-Cloud Orchestration](./use-cases/multi-cloud.md) | Cross-cloud workflows |
| [AI Log Analysis](./use-cases/log-analysis.md) | Intelligent log analysis |

## Why Flowmason for DevOps?

### Key Capabilities

```
┌─────────────────────────────────────────────────────────────────┐
│                    FLOWMASON FOR DEVOPS                         │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  HTTP Integration    │  Control Flow      │  AI Enhancement     │
│  ─────────────────   │  ────────────      │  ──────────────     │
│  • REST API calls    │  • Conditional     │  • Log analysis     │
│  • Webhooks          │  • Loops/ForEach   │  • Root cause       │
│  • Authentication    │  • Try/Catch       │  • Recommendations  │
│  • Retries           │  • Router          │  • Summaries        │
│                      │                    │                     │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  Data Transform      │  Validation        │  Observability      │
│  ──────────────      │  ──────────        │  ─────────────      │
│  • JSON transform    │  • Schema validate │  • Logging          │
│  • Filtering         │  • Error handling  │  • Tracing          │
│  • Aggregation       │  • Type checking   │  • Metrics          │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘
```

### Benefits

1. **Visual Pipeline Design** - Build complex workflows visually in Studio
2. **AI-Enhanced Operations** - Add intelligent analysis to any workflow
3. **Error Handling** - Built-in retry, timeout, and error recovery
4. **Observability** - Full execution tracing and logging
5. **Reusability** - Save as templates, share across teams

## Getting Started

### 1. Choose a Template

Start with a pre-built DevOps template from the Solutions page in Studio:

- **CI/CD Deployment** - Build → Test → Deploy workflow
- **Health Monitor** - Service health checking with alerts
- **Incident Response** - Auto-remediation pipeline
- **Multi-Service Orchestration** - API coordination

### 2. Configure Integrations

Most DevOps pipelines use the `http-request` operator to integrate with:

- CI/CD systems (GitHub Actions, Jenkins, GitLab CI)
- Cloud providers (AWS, Azure, GCP)
- Monitoring tools (Datadog, PagerDuty, Prometheus)
- Communication (Slack, Teams, Email)

### 3. Add AI Intelligence

Enhance workflows with AI nodes:

```json
{
  "id": "analyze-logs",
  "component_type": "generator",
  "config": {
    "prompt": "Analyze these logs for errors and anomalies:\n{{upstream.fetch-logs.body}}\n\nProvide root cause analysis and recommended actions.",
    "system_prompt": "You are an SRE expert. Analyze logs and provide actionable insights."
  }
}
```

### 4. Deploy and Monitor

- Test in Studio with debug mode
- Deploy to staging/production orgs
- Expose as HTTP API endpoints
- Monitor execution in Operations dashboard

## Sample Pipeline: Quick Health Check

```json
{
  "id": "quick-health-check",
  "name": "Quick Health Check",
  "stages": [
    {
      "id": "check-api",
      "component_type": "http-request",
      "config": {
        "url": "{{input.service_url}}/health",
        "method": "GET",
        "timeout": 5000
      }
    },
    {
      "id": "evaluate",
      "component_type": "filter",
      "config": {
        "data": "{{upstream.check-api}}",
        "condition": "data.get('status_code') == 200"
      },
      "depends_on": ["check-api"]
    },
    {
      "id": "alert-if-down",
      "component_type": "http-request",
      "config": {
        "url": "{{input.slack_webhook}}",
        "method": "POST",
        "body": {
          "text": "Service {{input.service_name}} is DOWN!"
        }
      },
      "depends_on": ["evaluate"]
    }
  ]
}
```

## Next Steps

- [Read the DevOps Overview](./devops-overview.md) for detailed concepts
- [Explore CI/CD Pipelines](./ci-cd-pipelines.md) for deployment automation
- [Set up Monitoring](./monitoring-alerting.md) for health checks
- [Configure Incident Response](./incident-response.md) for auto-remediation
