SRE CLI
The SRE CLI is an AI-powered assistant built into SRExpert that helps you manage your Kubernetes clusters using natural language.
What is it?
Instead of writing complex commands, you can simply ask questions like:
“What pods are failing in production?”
“Why is the api-gateway restarting?”
“Show me the memory usage of my cluster”
“Run a security scan on the default namespace”
The AI understands your intent and uses specialized tools to get the information or perform the action.
How it Works
When you open the SRE CLI:
- SRExpert creates a secure pod in your cluster
- The pod connects to an AI assistant (Claude, OpenAI, Gemini, or Qwen)
- You type questions in natural language
- The AI uses 80+ specialized Kubernetes tools to answer
- Results are displayed in real-time
All operations go through SRExpert’s secure backend - the AI never has direct access to your cluster.
Key Features
Natural Language
Ask questions in any language - the AI model supports multiple languages globally. No need to remember command syntax.
80+ Kubernetes Tools
The AI has access to tools for:
| Category | Examples |
|---|---|
| Workloads | List pods, deployments, services, jobs |
| Monitoring | CPU/memory metrics, logs, events |
| Security | Vulnerability scans, RBAC analysis, compliance checks |
| Networking | Network policies, exposed services |
| Storage | PVCs, PVs, storage classes |
| Troubleshooting | Describe resources, search logs, analyze errors |
Multiple AI Providers
Choose your preferred AI provider:
- Qwen (default)
- Anthropic Claude
- OpenAI GPT-4
- Google Gemini
Secure by Design
- All operations go through the SRExpert backend
- Your cluster credentials are never exposed to the AI
- Actions are logged for audit
- Permission checks on every operation
Requirements
- Active SRExpert license
- AI permission enabled for your user
- At least one cluster connected
Next Steps
- Getting Started - Open and use the SRE CLI
- What You Can Do - Full list of capabilities
- Examples - Practical examples