Architecture Doc #120
Description
📄 DevOps/SRE Agents - System Architecture Document
🧱 Overview
The system is composed of multiple agent modules that support CI/CD, infrastructure provisioning, monitoring, cloud operations, and cost analysis. These agents operate independently and communicate with the central orchestrator through APIs, webhooks, or event streaming.
🎯 Goals
- Automate infrastructure and application operations.
- Provide observability into system health and cost.
- Enable pluggable agents for scalability and flexibility.
🗺️ Architecture Diagram
Refer to the visual diagram with six major agents: CI, CD, IAAC, Monitoring, Cloud, and FinOps.
🔧 Components
1. CI Agent
- Inputs: GitHub, GitLab, Jenkins Webhooks
- Process: Trigger builds, tag versions, store artifacts
- Outputs: Docker images pushed to ECR, ACR, Docker Hub
- Tech: Node.js/Go, Docker SDK, GitHub API
2. CD Agent
- Inputs: Artifact trigger or manual
- Process: Deploy using Docker/Helm
- Outputs: K8s, ECS, GCP, Vercel, Render deployments
- Tech: Helm, kubectl, platform CLIs
3. IAAC Agent
- Inputs: Infrastructure definitions (HCL/Terraform)
- Process: Provision infra (with or without state)
- Outputs: Resources provisioned on AWS/GCP/Azure
- Tech: Terraform CLI/SDK, Terraform Cloud (optional)
4. Monitoring Agent
- Inputs: Prometheus, Grafana, Datadog APIs
- Process: Pull metrics, detect anomalies
- Outputs: Observability dashboard, alerts
- Tech: API clients, Kubernetes metrics server
5. Cloud Agent (R/W)
- Inputs: API creds for AWS/GCP/Azure
- Process: Resource read/write, tagging, audits
- Outputs: Provisioned resources, access audit
- Tech: AWS SDK, Google Cloud Client Libraries
6. FinOps Agent
- Inputs: Billing APIs
- Process: Cost tracking, forecasting, optimization
- Outputs: Cost reports, cleanup suggestions
- Tech: AWS Cost Explorer, GCP Billing API, Python/ML for forecasting
🌐 Communication
- Event Bus: Optional Kafka/NATS for inter-agent messaging
- Orchestrator API: RESTful API for control & configuration
- Storage: PostgreSQL (agent state), Redis (caching)
🔐 Security
- IAM Roles for least privilege
- API Token auth for dashboard control
- Encryption at rest and in transit (TLS, Secrets Manager)
📊 Dashboard
- Built in React + Tailwind
- Tabs per agent with status and configuration controls
- Alerts, cost insights, and metrics visualization
💻 Tech Stack
Frontend:
- React
- Tailwind CSS
- Vite (or Next.js for SSR)
Backend:
- Node.js with Express or Fastify (API Gateway)
- Go (for performance-critical agents)
- Python (for FinOps ML models)
Infrastructure:
- Docker (all agents)
- Kubernetes / ECS (orchestration)
- Terraform (infra provisioning)
- PostgreSQL (state), Redis (caching)
- Kafka or NATS (event bus)
Cloud Providers:
- AWS, GCP, Azure
- Vercel / Render (for fast deploys)
🔄 Extensibility
- Add new agent modules with consistent API contracts
- Support for plugin lifecycle: install, enable, disable
🚀 Deployment
- Containerized via Docker
- Deployable on K8s or ECS
- Auto-scaling supported via HPA or Fargate
✅ Future Improvements
- GitOps integration
- RAG-powered infra Q&A
- Multi-tenant support
- Agent analytics & APM