ScriptsApr 19, 2026·3 min read

Robusta — Smarter Kubernetes Alerts with AI Enrichment

Robusta enhances Prometheus alerts for Kubernetes by automatically grouping related alerts, enriching them with pod logs, resource graphs, and AI analysis, and routing them to Slack, Teams, or PagerDuty.

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Quick Use

Use it first, then decide how deep to go

This block should tell both the user and the agent what to copy, install, and apply first.

# Install Robusta via Helm
helm repo add robusta https://robusta-charts.storage.googleapis.com
helm install robusta robusta/robusta -f generated_values.yaml --set clusterName=my-cluster
# Generate config at https://platform.robusta.dev

Introduction

Robusta sits between Prometheus/AlertManager and your notification channels, enriching every alert with Kubernetes context. When a pod crashes, Robusta automatically attaches logs, resource graphs, and related events to the alert before sending it to Slack, Microsoft Teams, or PagerDuty.

What Robusta Does

  • Intercepts Prometheus alerts and enriches them with pod logs, events, and graphs
  • Groups related alerts to reduce notification noise
  • Runs automated remediation playbooks for common failure patterns
  • Provides AI-powered root cause analysis summaries for each incident
  • Offers a web dashboard for browsing enriched alerts and cluster health

Architecture Overview

Robusta deploys as a Helm chart with two main components: a runner that executes Python-based playbooks in response to alerts or Kubernetes events, and a forwarder that pushes enriched alerts to configured sinks. The runner watches AlertManager webhooks and the Kubernetes API, triggers matching playbooks, and enriches alerts with data gathered from the cluster.

Self-Hosting & Configuration

  • Install via Helm with a generated values file from the Robusta web platform
  • Connect to existing Prometheus and AlertManager instances
  • Configure notification sinks: Slack, Microsoft Teams, PagerDuty, Opsgenie, or webhooks
  • Write custom playbooks in Python for organization-specific automation
  • Enable the AI analysis feature to get GPT-powered summaries of alert causes

Key Features

  • Alert enrichment adds logs, graphs, and events to every notification automatically
  • Smart grouping correlates related alerts into single actionable incidents
  • Built-in playbooks for common issues like CrashLoopBackOff, OOMKilled, and node pressure
  • Custom Python playbooks for automated remediation specific to your workloads
  • Timeline view shows the sequence of events leading to each incident

Comparison with Similar Tools

  • AlertManager — routes and deduplicates alerts; Robusta adds enrichment, AI analysis, and remediation on top
  • PagerDuty/Opsgenie — incident management platforms; Robusta enriches alerts before they reach these tools
  • Komodor — commercial Kubernetes troubleshooting; Robusta is open source with a free tier
  • Datadog — commercial monitoring with built-in alerts; Robusta works with existing Prometheus setups
  • K8sGPT — AI diagnostics for cluster issues; Robusta focuses on alert enrichment and automated response

FAQ

Q: Does Robusta replace Prometheus? A: No. Robusta complements Prometheus by enriching its alerts with additional Kubernetes context before routing them.

Q: Can I write custom automation playbooks? A: Yes. Playbooks are Python functions that receive alert or event data and can take any action: restart pods, scale deployments, or call external APIs.

Q: Does the AI analysis send data externally? A: The AI feature sends anonymized alert summaries to generate root cause analysis. It can be disabled if data privacy is a concern.

Q: What notification channels are supported? A: Slack, Microsoft Teams, PagerDuty, Opsgenie, Discord, Google Chat, and generic webhooks.

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