OpsGenie is shutting down: the complete alternatives guide for 2026
Atlassian announced OpsGenie will reach end-of-life in April 2027. Every team using it needs to migrate. This guide covers every serious replacement — SaaS, open-source, and self-hosted — so you can pick the right one for your situation.
What is actually happening
Atlassian acquired OpsGenie in 2018. After years of slow development and increasing pressure to consolidate on Jira Service Management, they announced OpsGenie would be shut down. Existing customers can continue using it until April 2027, but there will be no new features, and the migration clock is running.
For teams with complex on-call setups — multiple rotation layers, escalation chains, integrations with Grafana or Prometheus — migration is not a weekend task. You need to pick a replacement now, test it in parallel, and cut over before the deadline.
What to look for in a replacement
Before comparing tools, decide what matters most for your team:
- →Data residency: Can your alert data, on-call schedules, and incident history leave your infrastructure? Some industries cannot send this to third-party SaaS.
- →On-call flexibility: Do you need time-window rotations (business hours vs nights), multiple layers, and self-service overrides without admin involvement?
- →Alert intelligence: Do you want raw alert forwarding, or does the tool tell you why the alert fired?
- →Pricing model: Per-user pricing kills budgets at scale. Look carefully at what happens at 50, 100, 200 engineers.
- →Integration depth: Grafana, Datadog, Prometheus, PagerDuty webhooks, Slack, Microsoft Teams — how many of your existing tools connect without custom glue?
SaaS alternatives
If your team has no data residency requirement and wants a managed service with no infrastructure to run, these are the main options.
PagerDuty
The incumbent enterprise on-call platform. Deep integration ecosystem, mature escalation policies, strong mobile app. Expensive at scale — per-user pricing adds up fast.
Strengths
- ✓Most mature on-call engine
- ✓Widest integration library
- ✓Strong mobile app
Watch out for
- –Per-user pricing is expensive at 50+ engineers
- –UI complexity has grown over the years
- –No self-hosted option
Best for: Large enterprise teams with budget and no data residency requirements.
Grafana OnCall (Cloud)
Originally Amixr, acquired by Grafana Labs. Tight Grafana integration, clean UI, good on-call scheduling. Available as managed cloud or self-hosted OSS. The cloud version is free up to 10 users.
Strengths
- ✓Free tier available
- ✓Native Grafana integration
- ✓Clean, modern UI
- ✓Self-hosted OSS version available
Watch out for
- –Smaller integration library than PagerDuty
- –No AI-powered root cause analysis
Best for: Teams already deep in Grafana stack who want a clean managed option.
Incident.io
Built around the full incident lifecycle — declaration, communication, postmortem — not just alerting and paging. Excellent Slack-native experience. More expensive than pure on-call tools.
Strengths
- ✓Best-in-class incident workflow
- ✓Strong Slack integration
- ✓Good postmortem tooling
Watch out for
- –Priced for the full incident lifecycle, not just on-call
- –Overkill if you only need paging
- –No self-hosted option
Best for: Teams that want a full incident command workflow, not just alert routing.
Better Stack (formerly Better Uptime)
Combines uptime monitoring, on-call scheduling, and status pages in one product. Good value for smaller teams who want everything in one bill.
Strengths
- ✓All-in-one monitoring + on-call + status page
- ✓Good pricing for small teams
- ✓Clean UI
Watch out for
- –Less flexible on-call scheduling than OpsGenie
- –No self-hosted option
- –Fewer enterprise integrations
Best for: Small to mid-size teams that want uptime monitoring and on-call in one tool.
Self-hosted and open-source alternatives
If your team operates in a regulated industry, an air-gapped environment, or simply does not want alert data and on-call schedules leaving your infrastructure, the SaaS options above are not viable. These are the self-hosted alternatives.
Wachd
Open source · Apache 2.0Built specifically as an OpsGenie replacement for teams that need to stay self-hosted. The core differentiator: Wachd tells you why the alert fired, not just that it fired. When an alert comes in, it automatically pulls the last commits from GitHub, error logs from Loki or Datadog, and metric history from Prometheus — then runs it through an AI backend to deliver a plain-English root cause with a suggested action.
Strengths
- ✓AI root cause analysis — correlates commits, logs, metrics into a 2-sentence answer
- ✓Works fully offline with Ollama — no external API calls required
- ✓Full on-call scheduling: time-window rotations, multiple layers, self-service overrides
- ✓Per-user notification rules: SMS, voice call, email, Slack — each engineer configures their own
- ✓PII stripped before any data touches the AI backend
- ✓Helm chart for Kubernetes — deploys in under 30 minutes
- ✓Apache 2.0 — no license restrictions
Watch out for
- –Newer project — active development, community growing
- –Cloud AI mode (Claude, OpenAI) requires SMB license — coming soon
Best for: Teams that need self-hosted on-call with AI-powered diagnosis. Ideal for regulated industries, air-gapped clusters, and anyone who wants OpsGenie-style flexibility without the SaaS dependency.
GitHub →Grafana OnCall (OSS)
Open source · AGPL-3.0The self-hosted version of Grafana OnCall. Runs as a Docker container or Kubernetes deployment. Good on-call scheduling, tight Grafana integration. No AI analysis — it routes and pages, but does not diagnose.
Strengths
- ✓Free and open source
- ✓Native Grafana integration
- ✓Active development and large community
- ✓Good mobile app via Grafana Cloud companion
Watch out for
- –AGPL-3.0 license — check compliance for your use case
- –No AI root cause analysis
- –Requires Grafana stack — not standalone
Best for: Teams already running Grafana who want self-hosted on-call without paying for the cloud version.
GitHub →Quick comparison
| Tool | Self-hosted | AI analysis | Air-gapped | Pricing |
|---|---|---|---|---|
| Wachd | ✓ | ✓ | ✓ | Free (OSS) |
| Grafana OnCall OSS | ✓ | – | ✓ | Free (OSS) |
| Grafana OnCall Cloud | – | – | – | Free / paid |
| PagerDuty | – | Partial | – | Per user |
| Incident.io | – | – | – | Per user |
| Better Stack | – | – | – | Per user |
How to choose
If: Your data cannot leave your infrastructure
→ Wachd or Grafana OnCall OSS. Both run entirely inside your cluster. Wachd adds AI diagnosis; Grafana OnCall has a larger community.
If: You want managed SaaS and already use Grafana
→ Grafana OnCall Cloud. Free up to 10 users, native integration, modern UI.
If: You need the full incident lifecycle (declaration, comms, postmortem)
→ Incident.io. It is more than an on-call tool — built for structured incident command.
If: You are a large enterprise with budget and no data residency concerns
→ PagerDuty. Most mature, widest ecosystem, strongest mobile app.
If: You want uptime monitoring + on-call + status page in one bill
→ Better Stack. Good value for smaller teams.
Migration timeline
April 2027 sounds far away. It is not. A typical migration for a 20-person engineering team with multiple rotation layers and existing integrations takes 6–10 weeks including parallel running and cutover validation. Start now.
Pick your replacement. Run a 2-day proof of concept: connect one Grafana webhook, set up one rotation, fire a test alert.
Migrate all on-call schedules. Run new tool in parallel with OpsGenie — both receive the same alerts.
Migrate all integrations. Validate escalation chains, notification preferences, and team routing rules.
Cut over. Keep OpsGenie active for one week as a silent fallback.
Decommission OpsGenie. Export all historical incident data before the deadline.
Try the self-hosted option
Wachd deploys on any Kubernetes cluster in under 30 minutes. Apache 2.0, no account required, no data leaves your infrastructure.