What is Robusta used for?

Robusta: Enriches Prometheus alerts for Kubernetes with logs and context, groups noisy notifications, and can run automatic remediation or AI investigation. It is a good fit for cutting alert noise for Kubernetes on-call teams and automating first-response remediation steps.

Is Robusta open source?

Yes. Robusta is open source under the MIT licence. Its source code is on GitHub at robusta-dev/robusta and is written mainly in Python.

Yes. Robusta is open source, so the software itself is free to use. A managed cloud version is also available.

Can I self-host Robusta?

Yes. Robusta can be self-hosted on your own server or infrastructure.

What are some alternatives to Robusta?

Similar open-source tools in the Monitoring & Observability category include Karma, Sloth and Netdata. SaaS products in the same category include Chronosphere, PagerDuty and Rootly.

Is Robusta actively maintained?

Yes. The most recent commit to Robusta was on 1 October 2026, and the latest release is 0.50.0, published on 16 September 2026. The project has 3.1k stars on GitHub.

Robusta: open-source monitoring & observability

About Robusta

Robusta, in this repository called Robusta Classic, is a rule-based alert enrichment engine for Kubernetes. It connects to Prometheus through a webhook and improves the alerts your team receives by attaching relevant data, such as pod logs, directly to notifications. It is released under the MIT license and works with kube-prometheus-stack and the Prometheus Operator.

Features include smart grouping that reduces notification spam by using Slack threads, self-healing rules that trigger automatic remediation, advanced routing by team or namespace, problem detection that creates Kubernetes-native alerts such as OOMKills and failing Jobs without writing PromQL, and change tracking to correlate alerts with rollouts. Alerts can auto-resolve in external systems such as Jira, and an optional AI investigation can start analysis.

Robusta integrates with Slack, Microsoft Teams, Jira, and many other destinations, and it can run without Prometheus or alongside an all-in-one observability stack that includes it. AI-powered root cause analysis lives in the separate HolmesGPT project. It suits DevOps and SRE teams that want less noisy, more actionable Kubernetes alerts.

Key features

Alert enrichment with pod logs and context
Smart grouping of notifications into Slack threads
Self-healing automatic remediation rules
Routing by team, namespace, and more
Kubernetes-native problem detection without PromQL
Change tracking for resource rollouts
Slack, Teams, and Jira integrations

Good fit for

→Cutting alert noise for Kubernetes on-call teams
→Automating first-response remediation steps

Built with: Python; Kubernetes; Docker
Tags: kubernetes; prometheus; alerting; devops; sre; slack; remediation; observability

Robusta: questions and answers

What is Robusta used for?: Robusta: Enriches Prometheus alerts for Kubernetes with logs and context, groups noisy notifications, and can run automatic remediation or AI investigation. It is a good fit for cutting alert noise for Kubernetes on-call teams and automating first-response remediation steps.
Is Robusta open source?: Yes. Robusta is open source under the MIT licence. Its source code is on GitHub at robusta-dev/robusta and is written mainly in Python.
Is Robusta free?: Yes. Robusta is open source, so the software itself is free to use. A managed cloud version is also available.
Can I self-host Robusta?: Yes. Robusta can be self-hosted on your own server or infrastructure.
What are some alternatives to Robusta?: Similar open-source tools in the Monitoring & Observability category include Karma, Sloth and Netdata. SaaS products in the same category include Chronosphere, PagerDuty and Rootly.
Is Robusta actively maintained?: Yes. The most recent commit to Robusta was on 1 October 2026, and the latest release is 0.50.0, published on 16 September 2026. The project has 3.1k stars on GitHub.