Open Source Opsgenie Alternatives

A curated collection of the 2 best open source alternatives to Opsgenie.

The best open source alternative to Opsgenie is Keep. If that doesn't suit you, we've compiled a ranked list of other open source Opsgenie alternatives to help you find a suitable replacement. Other interesting open source alternative to Opsgenie is Wachd.

Opsgenie alternatives are mainly Monitoring & Observability. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Opsgenie.

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An AIOps and alert management platform that deduplicates, correlates and automates alerts from every monitoring tool in one console.

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Alerts arrive from a dozen different tools, each with its own console. Keep is an open source AIOps and alert management platform that puts them behind a single pane of glass, where deduplication, enrichment, filtering and correlation happen in one place and integrations sync in both directions instead of only ingesting.

Automation is modeled on GitHub Actions. A workflow is a declarative YAML file with triggers that start it, an alert, an incident, a schedule or a manual run, steps that fetch data for context, and actions that do something, such as opening a Jira ticket, messaging a Slack channel or restarting a server. Conditions and loops steer the path, and results are written back onto the alert as enrichment.

The provider catalog is where most of the surface area sits.

  • Observability: Datadog, Grafana, Prometheus, Sentry, New Relic, Dynatrace, Splunk, Zabbix and many more.
  • Incident management: PagerDuty, OpsGenie, Grafana OnCall, Incident.io, Squadcast and others.
  • Ticketing and chat: Jira, ServiceNow, GitHub, GitLab, Linear, Slack, Teams and Telegram.
  • AI backends: Anthropic, OpenAI, Gemini, DeepSeek and local runners such as Ollama and LlamaCPP, used for correlation and summarization.

Deployment runs from Docker Compose locally to Kubernetes, AWS ECS and OpenShift, including air-gapped environments. Authentication covers SSO, SAML, OIDC and LDAP with role and attribute based access control, and the platform is documented as horizontally scalable for enterprise volumes.

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Self-hosted alert intelligence that collects context around an incident and hands the on-call engineer a plain-English probable cause.

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Wachd sits between monitoring and the person holding the pager. An alert from Grafana, Datadog, Splunk or any compatible source arrives as a webhook, and rather than a bare threshold breach the on-call engineer receives a diagnosis with a probable cause and a suggested action.

In between, the pipeline gathers recent commits, error logs and metric history around the alert time, strips identifying data from that context before anything analyzes it, correlates events into a causal timeline, and looks up who is on call. No agent runs in your clusters: alerts come in over HTTPS and Wachd calls your monitoring APIs outbound.

The deployment is shaped to stay inside your own boundary.

  • Local analysis: Ollama is the default backend, so an air-gapped install makes no external calls, with OpenAI available instead.
  • PII removal: a sanitizer strips identifying data with twenty-one patterns before analysis runs.
  • Authentication: local users, OIDC sign-on against Entra, Okta or Google Workspace, group mappings and API tokens.
  • On-call: a schedule and rotation engine decides who gets each notification over Slack and email.
  • Storage: PostgreSQL holds the data and Redis carries the job queue between server and worker.

Server and worker are Go with a Next.js dashboard, deployable through Docker Compose on a single VPS or the bundled Helm chart on Kubernetes. First startup prints a generated superadmin password to the log, and the documentation is blunt that the shipped encryption key must be replaced before production. Apache 2.0 licensed.

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