Incident Management and On-Call Platforms Compared: PagerDuty, Opsgenie, Grafana OnCall

When production goes down at 2am, the most expensive thing you own is a broken alerting pipeline. Incident management platforms exist to solve a deceptively complex problem: getting the right person, with the right context, on the right incident, as fast as possible.

The category has matured well beyond simple paging. Today’s tools cover alert routing, on-call scheduling, escalation policies, Slack-integrated war rooms, postmortem workflows, and AI-assisted triage. If your team carries any on-call responsibility for customer-facing systems, you need one of these tools and you need it configured properly.

This guide is for SREs, platform engineers, and DevOps leads evaluating options in 2026. The landscape has shifted meaningfully in the past 12 months, with several major players changing direction. We cover what is actively maintained, what has been wound down, and where teams should be looking today.

What to Evaluate Before You Commit

Before comparing tools, get clear on what you are actually solving for:

• Alert routing complexity: Do you need multi-layer escalations across services, teams, and time zones? Or is a simple rotation enough?
• Integration surface: Your monitoring stack (Prometheus, Datadog, Grafana, CloudWatch) needs to talk to this tool without a custom webhook hack for every source.
• Incident workflow scope: Are you just routing pages, or do you want a full incident timeline, structured role assignments, and automated postmortem templates?
• Cost per engineer: On-call tools charge per user. A 20-person team on a $41/user plan is $820/month before add-ons. Do the math before you fall in love with a demo.
• Maintenance burden: Self-hosting your own on-call tool is a trap unless you have dedicated platform team bandwidth. Managed beats self-hosted for 90% of teams.

PagerDuty

PagerDuty has been the default enterprise choice for over a decade, and it has earned that position through reliability, a massive integration catalog, and an escalation policy model that scales from 5-person startups to very large engineering organizations.

Pricing

Annual billing saves 16-28% depending on the tier. The advertised per-user price rarely reflects your actual bill: AIOps for noise reduction costs an additional $699/month, and PagerDuty Advance (AI capabilities) runs another $415/month. Factor add-ons in from day one.

Escalation Policies and Terraform Support

The escalation policy model is genuinely excellent, and PagerDuty’s Terraform provider is mature enough to manage everything as code:

resource "pagerduty_escalation_policy" "backend_prod" {
  name      = "Backend Production"
  num_loops = 2

  rule {
    escalation_delay_in_minutes = 10
    target {
      type = "schedule_reference"
      id   = pagerduty_schedule.primary_oncall.id
    }
  }

  rule {
    escalation_delay_in_minutes = 10
    target {
      type = "schedule_reference"
      id   = pagerduty_schedule.secondary_oncall.id
    }
  }

  rule {
    escalation_delay_in_minutes = 10
    target {
      type = "user_reference"
      id   = pagerduty_user.eng_manager.id
    }
  }
}

700+ integrations cover virtually every monitoring tool you will encounter. The H2 2025 product release added four specialized AI Agents designed to automate workflows across the incident lifecycle, and the Model Context Protocol (MCP) server is now generally available for Professional plans and above, letting external AI tooling connect directly to incident and service data.

Honest Weaknesses

The pricing model is aggressive. Add-ons stack up, annual renewal increases of 10-15% are common, and the interface feels designed to surface upsell opportunities. For teams that want solid on-call routing without an enterprise procurement conversation, there are leaner options. PagerDuty is overkill for a team of 8.

Grafana Cloud IRM

The Grafana on-call story has changed significantly. Grafana OnCall OSS, the self-hosted open source version, entered maintenance mode in early 2026 and is being archived on March 24, 2026. The cloud connection that powers SMS and push notifications in the OSS version also stops working on that date. If you are running Grafana OnCall OSS today, migration is urgent.

The current product is Grafana Cloud IRM, which merges Grafana OnCall and Grafana Incident into a single managed solution.

Pricing and Access

Grafana Cloud IRM is a paid add-on billed per monthly active IRM user. An active user is defined as anyone included in on-call schedules or escalation chains who takes any action on an alert group. The free tier covers up to three active users, which works for small teams or evaluation use. Beyond three users, a Grafana Cloud paid plan is required.

Why It Works for Grafana-Native Teams

If you are already running Grafana Cloud for dashboards and alerting, the integration is genuinely seamless. Alert routing from Alertmanager into IRM requires minimal configuration:

# alertmanager.yml
receivers:
  - name: 'grafana-irm'
    webhook_configs:
      - url: 'https://oncall-prod-us-central-0.grafana.net/oncall/integrations/v1/alertmanager/YOUR_TOKEN/'
        send_resolved: true

route:
  group_by: ['alertname', 'cluster', 'service']
  group_wait: 30s
  group_interval: 5m
  repeat_interval: 12h
  receiver: 'grafana-irm'

When someone gets paged, the relevant Grafana dashboard is a single click away from the incident. Native integration with Prometheus, Mimir, and Loki means alert context is richer by default, without manual configuration to attach runbook links or dashboard snapshots.

The Tradeoff

Grafana Cloud IRM ties you into Grafana Cloud. For teams self-hosting their entire observability stack, the integration story is thinner. This is the right tool if you are in the Grafana Cloud ecosystem; it is a harder sell if you are not.

Opsgenie

Atlassian announced that Opsgenie is no longer available for new purchases as of June 4, 2025, with full support ending April 5, 2027. The on-call and alerting capabilities are being folded into Jira Service Management.

For teams currently running Opsgenie, the product continues to work within its support window. Pricing remains Essentials at $9.45/user/month and Standard at $19.95/user/month, with 200+ monitoring tool integrations including ChatOps and ITSM connections. Within that window, it is a capable tool.

For anyone evaluating platforms today, Opsgenie is not the right starting point. Existing Atlassian customers should evaluate whether JSM’s built-in incident management meets their needs, or whether they are better served by a dedicated tool from another vendor. The migration path to JSM is the lowest-friction option for orgs heavily invested in the Atlassian ecosystem (Jira, Confluence, Statuspage).

Rootly

Rootly positions itself as an AI-native incident response platform, and unlike tools that bolt AI on top of existing workflows, automation is a first-class interface rather than a feature layer. The platform covers the full incident lifecycle: on-call scheduling, alert routing, incident response workflows, and postmortems.

Pricing and Modularity

Rootly starts at $20/user/month and splits into three purchasable modules: Incident Response, On-Call, and AI SRE. You can buy them separately or together with a bundle discount. This modularity is genuinely useful if you already have an on-call tool (say, PagerDuty) and want structured incident workflows without ripping everything out.

Workflow Automation

The codeless automation engine is the standout feature. A typical critical incident automation:

Trigger: Incident severity set to "critical"

Actions:
  1. Create Slack channel #inc-{incident_id}
  2. Invite on-call engineer + team lead
  3. Page secondary on-call via Rootly On-Call
  4. Create Jira ticket in INC project with incident link
  5. Post Datadog service dashboard to Slack channel
  6. Schedule 15-minute check-in reminder
  7. Open Rootly incident timeline for tracking

This kind of automation, configured without code, is where Rootly earns its premium. The AI layer provides root cause suggestions, automated stakeholder summaries, and natural language queries against historical incident data.

The weakness is integration breadth. PagerDuty’s 700+ catalog is not matched here. For teams with unusual monitoring stacks or legacy ITSM dependencies, test your integration paths before committing.

incident.io

incident.io takes a deliberately different angle: instead of competing on alert routing, it focuses on what happens after the page fires. The platform is Slack-native and designed around structured incident workflows, role assignments, status pages, and retrospectives.

For on-call routing, incident.io integrates with PagerDuty and other alerting tools rather than replacing them. This is a deliberate architectural choice: coordinating the response to an incident is a different problem than routing the initial alert, and incident.io solves the former.

The platform targets engineering teams at scale-up to enterprise organizations, particularly strong at multi-team incident coordination where you need to track parallel workstreams, communicate with stakeholders across channels, and run structured postmortems without everything collapsing into a single chaotic Slack thread. Pricing is custom and enterprise-only, which tells you something about the intended buyer.

Comparison Table

Recommendations by Use Case

Best for small teams and startups: PagerDuty Free gets you to 5 users at zero cost with a real escalation policy model. Grafana Cloud IRM’s free tier covers 3 active on-call users. Either works; go with whichever aligns to your existing observability stack.

Best for teams on Grafana Cloud: Grafana Cloud IRM. The observability integration is tight enough that you will spend less time copy-pasting dashboard links into Slack and more time fixing the actual incident. Do not run Grafana OnCall OSS; it is archived.

Best for enterprise with complex routing: PagerDuty. The integration catalog, Terraform provider, MCP server, and battle-tested escalation model are hard to replicate. Negotiate annual pricing aggressively and budget realistically for add-ons.

Best for automation-first teams: Rootly. If reducing manual incident work is the goal, the codeless automation engine and modular AI SRE product give you the most leverage per engineer. The ability to buy only the modules you need makes the entry cost reasonable.

Best for structured multi-team incident response: incident.io. If the pain is not “we don’t get paged” but “we don’t coordinate well once paged,” incident.io’s Slack-native workflow and postmortem tooling is purpose-built for that problem. Expect enterprise pricing conversations.

Teams currently on Opsgenie: Plan your migration before April 2027. If you are deep in the Atlassian ecosystem, evaluate JSM first. If not, PagerDuty, Rootly, and Grafana Cloud IRM are all viable landing zones depending on your stack and team size.

The right tool is the one your team will actually configure properly and keep maintained. A well-tuned PagerDuty setup beats an ignored Rootly deployment every time.