Main Features

Robusta integrates HolmesGPT to provide AI-powered root cause analysis for Kubernetes alerts and issues.

What HolmesGPT Does

Automatic Investigation

When alerts fire, HolmesGPT automatically:

  • Analyzes pod logs and events

  • Examines resource metrics and limits

  • Checks recent deployments and changes

  • Investigates related resources and dependencies

  • Provides actionable recommendations

Multi-Source Analysis

HolmesGPT pulls data from:

  • Kubernetes API (pods, nodes, events, logs)

  • Prometheus metrics

  • Cloud provider APIs (AWS, Azure, GCP)

  • Application monitoring (Datadog, New Relic)

  • Log aggregation systems (Loki, OpenSearch, Coralogix)

  • And more via extensible toolsets

How to Use It

In Robusta UI

Click the Root Cause tab on any alert to see the AI investigation.

Via @holmes in Slack

Ask natural language questions about your clusters:

  • @holmes what apps are crashing in prod-cluster?

  • @holmes why is my alert firing on staging?

  • @holmes investigate high memory usage in dev-cluster

Example Investigation

Here's what HolmesGPT found for a CrashLoopBackOff alert:

The AI identified: - The exact error from pod logs - The root cause (missing environment variable) - Recommended fix with example YAML - Related configuration issues

Why Use HolmesGPT?

Save Time

Stop manually checking logs, metrics, and events across multiple tools. HolmesGPT does it in seconds.

Reduce MTTR

Get to root cause faster with AI that understands Kubernetes patterns and common issues.

Learn as You Go

Each investigation explains what was checked and why, helping your team learn Kubernetes troubleshooting.

24/7 Coverage

AI investigations run automatically on every alert, even at 3 AM.

Next Steps