Holmesgpt

Abstract

1. Introduction

Most AI agents are great at troubleshooting problems, but still need a human to notice something is wrong and trigger an investigation. Operator mode fixes that — HolmesGPT runs in the background 24/7, spots problems before your customers notice, and messages you in Slack with the fix. Connect the GitHub integration and it can even open PRs to fix what it finds.

HolmesGPT uses an agentic loop to query live observability data from multiple sources and identify root causes.

While the operator itself runs in Kubernetes, health checks can query any data source Holmes is connected to — VMs, cloud services, databases, SaaS platforms, and more.

2. Objective

SRE Agent - CNCF Sandbox Project

This project demonstrates how Python, Kubernetes can be applied to a real-world Blockchain & Cloud Computing problem.

3. Key Features / Modules

• Petabyte-scale data: Server-side filtering, JSON tree traversal, and tool output transformers keep large payloads out of context windows
• Memory-safe execution: Per-tool memory limits, streaming large results to disk, and automatic output budgeting prevent OOM kills when querying large observability datasets
• Deep integrations: Prometheus, Grafana, Datadog, Kubernetes, and many more—plus any REST API
• Bidirectional alert integrations: Fetch alerts from AlertManager, PagerDuty, OpsGenie, or Jira—and write findings back
• Any LLM provider: OpenAI, Anthropic, Azure, Bedrock, Gemini, and more
• No Kubernetes required: Works with any infrastructure — VMs, bare metal, cloud services, or containers

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/HolmesGPT/holmesgpt.git
cd holmesgpt

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add a CI/CD pipeline with GitHub Actions
• Deploy to a public test network or cloud free tier
• Add monitoring and cost alerts

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Why does this problem need a blockchain or cloud-native design?
2. Explain the smart contract / infrastructure components and how they interact.
3. How are gas costs or cloud costs kept under control?
4. How is the system secured (keys, IAM, access control)?
5. How would the solution scale to many more users?

9. Source Code & License

This project is developed by HolmesGPT and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.