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 happened
Atlassian bought OpsGenie back in 2018 and basically did nothing with it for years. Now they're shutting it down. Official deadline is April 2027 — after that it goes read-only and eventually dark.
If you have a simple setup — one rotation, a handful of integrations — you can probably migrate in a weekend. If you have multiple layers, time-window restrictions, escalation chains, and a bunch of Grafana/Prometheus integrations wired in, you need to start now. These migrations always take longer than you think.
Things worth thinking about before you pick
Not all these matter for every team but at least think about them:
- →Can your data leave your cluster?: Alert content, on-call schedules, incident history — some teams can't send any of that to a third-party SaaS. If you're in a regulated industry or just paranoid about it, the SaaS options below aren't viable.
- →How flexible is the on-call scheduling?: OpsGenie let you do time-window rotations (business hours vs nights vs weekends), multiple layers, and self-service overrides. Not every replacement matches that. Worth testing your actual rotation setup before committing.
- →Do you just want paging, or do you want context?: Most of these tools tell you an alert fired. Wachd is the only one in this list that also tells you why. Depends on how much time your team spends figuring out root cause after getting paged.
- →Per-user pricing at scale: Fine at 10 engineers, feels bad at 80. Run the numbers for your actual headcount before signing anything.
- →Integrations you actually use: Grafana, Datadog, Prometheus, Slack, Teams — check the specific version of the integration exists, not just that the tool supports the vendor generally.
SaaS options
If your data can live outside your cluster and you don't want to run infrastructure, these are the ones worth looking at.
PagerDuty
The one everyone knows. It works. Escalation policies are flexible, mobile app is good, integration library is huge. The UI has gotten busier over the years and the per-user pricing is real — if you have 80 engineers on a team that needs on-call coverage you'll feel it. But if you're a large enterprise with budget and no data residency concerns, it's a reasonable choice.
Strengths
- ✓Widest integration library by a lot
- ✓Escalation policies are mature and flexible
- ✓Good mobile app for 3am incidents
Watch out for
- –Per-user pricing adds up fast at scale
- –UI has gotten complicated over the years
- –No self-hosted option ever
Best for: Large teams where budget isn't the constraint and you want the most integrations.
Grafana OnCall (Cloud)
Originally a startup called Amixr, Grafana Labs acquired them. If you're already deep in the Grafana stack this is probably the path of least resistance. Free up to 10 users which is actually generous. Clean UI, does the job. No AI diagnosis — it routes the alert to you, what you do with it is still your problem.
Strengths
- ✓Free tier up to 10 users
- ✓Native Grafana integration — no custom webhook glue
- ✓Clean modern UI
- ✓OSS self-hosted version available too
Watch out for
- –Smaller integration library than PagerDuty
- –No root cause analysis — pure routing and paging
Best for: Teams already on Grafana who want managed on-call without per-user fees at small scale.
Incident.io
Honestly a different product category. It's built for the whole incident lifecycle — declare, communicate, run the incident, do the postmortem. The Slack integration is excellent. But if all you want is someone to get woken up when an alert fires, it's overkill and you'll pay for features you don't need.
Strengths
- ✓Best incident workflow tooling in the category
- ✓Slack-native, feels natural for most teams
- ✓Postmortem tooling is genuinely good
Watch out for
- –Priced for incident management, not just on-call paging
- –Overkill if you just need routing and escalation
- –No self-hosted option
Best for: Teams that want structured incident command — declaration, comms, postmortem — not just paging.
Better Stack
Good option if you want uptime monitoring, on-call, and a status page in one place and one bill. Pricing is reasonable for smaller teams. The on-call scheduling is less flexible than what OpsGenie offered — if you have complex rotation setups, test it carefully before committing.
Strengths
- ✓Monitoring + on-call + status page in one product
- ✓Reasonable pricing for small teams
- ✓Clean UI, easy to set up
Watch out for
- –On-call scheduling less flexible than OpsGenie
- –No self-hosted option
- –Fewer enterprise integrations
Best for: Small teams that want everything in one place and don't need complex rotation logic.
Self-hosted options
If your data can't leave your cluster — regulated industry, air-gapped environment, or just a strong preference for keeping incident data in-house — none of the SaaS tools above work for you. These two are the options worth looking at.
Wachd
Open source · Apache 2.0Built as a direct OpsGenie replacement for self-hosted teams. The thing that's different from everything else in this list: it tells you why the alert fired. When an alert comes in, it pulls the last commits from GitHub, error logs from Loki or Datadog, metric history from Prometheus — strips all PII — then runs it through an AI backend and sends you a plain-English root cause alongside the page. No more spending 45 minutes in five different tabs at 3am before you understand what happened.
Strengths
- ✓AI root cause analysis — correlates commits, logs, and metrics automatically
- ✓Air-gapped mode with Ollama — zero external API calls, runs fully in-cluster
- ✓Full OpsGenie-style scheduling: time-window rotations, multiple layers, self-service overrides
- ✓Per-engineer notification rules: SMS, voice call, email, Slack — each person sets their own
- ✓PII stripped before anything touches the AI backend
- ✓Helm chart — deploys on any Kubernetes cluster in under 30 min
- ✓Apache 2.0 — no usage restrictions
Watch out for
- –Newer project — community is still growing
- –Cloud AI backends (Claude, OpenAI) on the SMB plan, coming soon
Best for: Teams that need self-hosted on-call with AI diagnosis. Especially useful for regulated industries, air-gapped clusters, and anyone tired of doing manual root cause investigation after every page.
GitHub →Grafana OnCall (OSS)
Open source · AGPL-3.0The self-hosted version of Grafana OnCall. If you're already running Grafana this is probably the path of least resistance — it integrates natively and the community is large. Does routing and paging well. Doesn't do diagnosis — it gets the alert to you, figuring out what it means is still your job. Check the AGPL license with your legal team if you're in a commercial context.
Strengths
- ✓Free and open source
- ✓Native Grafana integration — no custom glue needed
- ✓Large community, active development
- ✓Mobile app via Grafana Cloud companion
Watch out for
- –AGPL-3.0 — worth checking with legal for commercial use
- –No AI root cause analysis
- –Tied to the Grafana stack — not standalone
Best for: Teams already on Grafana who want self-hosted on-call without paying for cloud and don't need AI diagnosis.
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 |
Which one to pick
If: Your data can't leave your cluster
→ Wachd or Grafana OnCall OSS. Both run entirely in your cluster. Wachd is the one that also tells you what broke and why. Grafana OnCall has a bigger community if that matters more to you.
If: You're on Grafana and just want something managed
→ Grafana OnCall Cloud. Free under 10 users, works natively with your existing setup, no infrastructure to run.
If: You want the full incident workflow — declare, communicate, postmortem
→ Incident.io. It's more than an on-call tool. Worth the price if that's what you need, overkill if it isn't.
If: Large team, budget isn't the concern, you want maximum integrations
→ PagerDuty. It's the most established option in the category for a reason.
If: Small team, want monitoring + on-call + status page together
→ Better Stack. Decent value if you don't need complex scheduling.
How long does a migration actually take
April 2027 feels far away until you start counting weeks. A team with a real OpsGenie setup — multiple rotations, escalation chains, a bunch of integrations — will spend 6 to 8 weeks doing this properly. That includes running both tools in parallel so you catch anything you missed before you cut over.
Pick your replacement. Don't just read the docs — actually spin it up, connect one webhook, set up one rotation, fire a test alert. Half the surprises happen here.
Rebuild your on-call schedules. Run both tools receiving the same alerts — don't cut over yet.
Migrate all integrations. Check escalation chains, notification rules per engineer, routing logic.
Cut over. Leave OpsGenie running silently for one week as a fallback.
Done. Export your OpsGenie incident history before the deadline — you'll want it for postmortems.
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.