Investigate production incidents across Kubernetes and cloud signals with HolmesGPT

Use HolmesGPT when an on-call agent needs one investigation loop that pulls alerts, logs, metrics, and infrastructure context from multiple systems and returns a root-cause path instead of forcing a human to hop across separate observability products.

Prerequisites

HolmesGPT CLI or operator deployment, one supported LLM provider, and connected observability/toolset integrations

Installation

Requirements and caveats from upstream:

• | <img src="images/integration_logos/aks-icon.png" alt="AKS" width="20" style="vertical-align: middle;"> AKS | Azure Kubernetes Service cluster and node...
• | <img src="images/integration_logos/docker_logo.png" alt="Docker" width="20" style="vertical-align: middle;"> Docker | Get images, logs, events, hist...

Basic usage or getting-started notes:

• <a href="https://holmesgpt.dev/installation/cli-installation/">
• <img src="images/integration_logos/all-installation-methods.png" alt="All Installation Methods" style="max-width:100%; height:auto;">
• </a>

• Source: https://github.com/HolmesGPT/holmesgpt

• Extracted from upstream docs: https://raw.githubusercontent.com/HolmesGPT/holmesgpt/HEAD/README.md

Documentation

• https://holmesgpt.dev/

Source

• Agent Skill Exchange