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Grafana OnCall project preview
ProductivityAlternative to Splunk On-CallAlternative to PagerDutyAlternative to Opsgenie

Grafana OnCall

Developer-friendly on-call management and incident escalation tool built by Grafana.

View on GitHub Visit website
LicenseAGPL-3.0
GitHub stars5.8k
Last commit1 weeks ago
Tags5 topics
Alert RoutingOncall SchedulingGrafana OncallIncident ResponseDevops
Overview

Why consider Grafana OnCall?

Grafana OnCall is an open-source incident response and on-call scheduling platform written in Python (Django) and React. It routes alerts from Prometheus, Grafana Alerting, Datadog, and New Relic to on-call engineers via mobile push notifications, SMS, Slack, Telegram, and phone calls.

Guided learning

Learn Grafana OnCall by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Grafana OnCall

Grafana OnCall organizes team rotation schedules and routes critical system outages to mobile devices.

Docker Quickstart

bash
1docker-compose up -d

Grafana OnCall is licensed under the GNU AGPL-3.0 license.

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Grafana OnCall FAQs

Grafana OnCall is listed as a Productivity tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Grafana OnCall is listed under the AGPL-3.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Grafana OnCall is listed as an alternative to Splunk On-Call. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.