Solved: Best OpsGenie alternatives? sunset is forcing migration, 50-person eng team

Source: Dev.to

The Challenge: OpsGenie Sunset and Migration Headaches

A forced migration under a deadline often surfaces a range of challenges that extend beyond mere feature replacement. Understanding these symptoms is the first step toward a successful transition.

Symptoms of a Forced Migration

• Loss of Critical Functionality – Interruption of on‑call rotations, alert routing, and incident communication workflows.
• Urgent Timeline – Sunsets rarely come with years of notice, creating a compressed timeline for evaluation, selection, migration, and training.
• Feature‑Parity Requirements – Teams need a replacement that matches or exceeds OpsGenie’s capabilities (sophisticated escalation policies, multi‑channel notifications, extensive integrations).
• Cost Sensitivity – New pricing models require careful budget considerations and justification.
• Integration Overload – Replicating integrations with dozens of monitoring tools (Prometheus, Grafana, Datadog), logging platforms (ELK, Splunk), and communication tools (Slack, Teams) is a significant undertaking.
• User Adoption & Training – A new UI and workflows introduce a learning curve that can initially impact incident response times.
• Data‑Migration Complexity – Transferring existing on‑call schedules, escalation policies, and past incident data (if desired) can be non‑trivial.

Solution 1: PagerDuty – The Industry Standard

PagerDuty is often considered the gold standard for incident management, offering a mature, robust platform with extensive capabilities for on‑call scheduling, incident routing, and sophisticated automation.

Overview & Key Features

PagerDuty centralizes alerts from virtually any source, applies intelligent routing based on services and urgency, and ensures incidents reach the right person at the right time. Its key strengths include:

• Advanced On‑Call Scheduling – Complex rotations, overrides, and handoffs.
• Rich Escalation Policies – Multi‑step, multi‑channel notifications until acknowledgement.
• Extensive Integrations – Hundreds of out‑of‑the‑box integrations plus a powerful API.
• Incident‑Response Automation – Runbooks, automated actions, and post‑incident analysis tools.
• Analytics & Reporting – Detailed metrics on incident frequency, resolution times, and team performance.

Migration Considerations

Migrating to PagerDuty typically involves:

1. Recreating on‑call schedules and escalation policies.
2. Integrating monitoring tools via the PagerDuty Events API or native integrations.
3. Automating bulk operations with scripts that call the robust API.

Historical incident data can be imported via the API, but it is often deprioritized during a forced migration.

Example Configuration: Integrating with Prometheus Alertmanager

# alertmanager.yml configuration snippet
route:
  receiver: 'default-pagerduty'

receivers:
  - name: 'default-pagerduty'
    pagerduty_configs:
      - service_key: 'YOUR_PAGERDUTY_INTEGRATION_KEY'  # Generated in PagerDuty for a specific service.
        severity: '{{ .CommonLabels.severity | title }}'
        details:
          instance: '{{ .CommonLabels.instance }}'
          alertname: '{{ .CommonLabels.alertname }}'
          description: '{{ .CommonAnnotations.description }}'
          summary: '{{ .CommonAnnotations.summary }}'
        group: '{{ .CommonLabels.alertname }}'
        class: '{{ .CommonLabels.job }}'
        component: '{{ .CommonLabels.component }}'
        client: 'Prometheus Alertmanager'
        client_url: 'http://alertmanager.example.com'

1. In PagerDuty, create a service and add a Prometheus integration.
2. The integration generates the YOUR_PAGERDUTY_INTEGRATION_KEY used above.
3. Assign the service to an escalation policy and an on‑call schedule.

Pros & Cons

Solution 2: Splunk On‑Call (formerly VictorOps) – The Incident Hub

Splunk On‑Call, previously VictorOps, positions itself as a real‑time incident management platform focused on the entire incident lifecycle, emphasizing collaboration and communication across the engineering team.

Overview & Key Features

• Visual Incident Timeline – A chronological view of alerts, acknowledgements, and resolutions.
• Rich Chat & Collaboration – Native integrations with Slack, Microsoft Teams, and other chat platforms for on‑the‑fly communication.
• Automated Routing & Escalations – Policy‑driven routing with multi‑channel notifications.
• Runbooks & Playbooks – Embedded runbooks that can be triggered directly from alerts.
• Post‑Incident Reporting – Automated post‑mortems and metrics dashboards.

Migration Considerations

Similar to PagerDuty, migration involves setting up on‑call schedules, escalation policies, and integrating existing monitoring tools. Splunk On‑Call provides a Generic API and email integration that are highly versatile. The Transmogrifier can be invaluable for normalizing incoming alerts from diverse sources during migration.

Example Configuration: Sending Alerts via Generic API

# Example using curl to send a critical alert to Splunk On‑Call's Generic REST Endpoint
# Replace YOUR_ROUTING_KEY with the key found in your Splunk On‑Call integrations setup.
# The routing key determines which team/service receives the alert.

curl -X POST -H "Content-Type: application/json" -d '{
  "message_type": "CRITICAL",
  "entity_id": "server-001/cpu_usage",
  "state_message": "CPU usage on server-001 is 95% for 5 minutes",
  "monitoring_tool": "Custom Monitor",
  "host": "server-001",
  "description": "High CPU utilization detected.",
  "check": "cpu_usage",
  "alert_url": "http://dashboard.example.com/server-001"
}' "https://alert.victorops.com/integrations/generic/20131114/alert/YOUR_ROUTING_KEY"

# For a recovery message, change message_type to "RECOVERY"
curl -X POST -H "Content-Type: application/json" -d '{
  "message_type": "RECOVERY",
  "entity_id": "server-001/cpu_usage",
  "state_message": "CPU usage on server-001 has returned to normal (30%)",
  "monitoring_tool": "Custom Monitor",
  "host": "server-001",
  "description": "High CPU utilization resolved.",
  "check": "cpu_usage"
}' "https://alert.victorops.com/integrations/generic/20131114/alert/YOUR_ROUTING_KEY"

This flexibility makes it easy to integrate with custom scripts or older monitoring systems that might not have native integrations for other platforms.

Pros & Cons

Pros

• Excellent for real‑time incident communication and collaboration.
• Transmogrifier offers powerful alert processing and normalization.
• Strong focus on the full incident lifecycle.
• Good balance of features and ease of use.

Cons

• Can be more expensive than some alternatives, especially for advanced features.
• UI might feel less polished than PagerDuty for some users.
• Integration ecosystem, while robust, might not be as vast as PagerDuty’s.

Solution 3: Grafana OnCall – The Integrated Open‑Source Friendly Option

Grafana OnCall is a relatively newer entrant but is rapidly gaining traction, especially among teams already heavily invested in Grafana for monitoring and observability. It offers integrated on‑call management directly within the Grafana ecosystem.

Overview and Key Features

• Native Grafana Integration – Seamlessly connects with Grafana Alerting, dashboards, and data sources.
• On‑Call Schedules & Escalation Chains – Intuitive setup for complex rotations and notification paths.
• Alert Groups – Automatically group related alerts to reduce noise.
• ChatOps Integrations – Connects with Slack, Microsoft Teams for incident communication.
• Public API – For automation and custom integrations.
• Open‑Source Core (for self‑hosting) – Managed Grafana Cloud offering exists, but an open‑source version allows self‑hosting.

Migration Considerations

For teams already using Grafana for monitoring, the migration path is significantly streamlined. Focus on defining on‑call schedules, creating escalation chains, and configuring Grafana Alerting contact points to send notifications to Grafana OnCall. Data import might require leveraging the API for schedules if they are very complex.

Example Configuration: Setting up a Basic On‑Call Group and Alert Route

Assuming you are using Grafana Alerting:

1. Create an On‑Call Team – In Grafana OnCall, create a team (e.g., “SRE Team”).
2. Define Users and Schedules – Add engineers to the team and set up an on‑call schedule (e.g., weekly rotation).
3. Create an Escalation Chain – Define how alerts escalate (e.g., notify current on‑call, then team lead, then entire team via Slack).
4. Configure a Grafana Alerting Contact Point – Link Grafana Alerting to your OnCall integration.

# Conceptual steps in Grafana UI or via Terraform for Grafana Alerting

# 1. Create OnCall User Group in Grafana OnCall (UI)
#    - Group Name: "Primary SRE On-Call"
#    - Add Members: UserA, UserB, UserC
#    - Define Weekly Rotation Schedule

# 2. Create Escalation Chain in Grafana OnCall (UI)
#    - Chain Name: "Critical SRE Escalation"
#    - Step 1: Notify "Primary SRE On-Call" via Mobile App, SMS (after 0 min)
#    - Step 2: Notify "Primary SRE On-Call" via Phone Call (after 5 min)
#    - Step 3: Notify "SRE Managers" (another OnCall group) via Slack (after 10 min)

# 3. Create a Contact Point in Grafana Alerting (UI or Terraform)
#    - Name: "OnCall SRE Critical"
#    - Type: "Grafana OnCall"
#    - OnCall URL: (auto‑populated if using the managed service)

These steps illustrate a typical workflow for bringing Grafana‑based monitoring into a full‑featured on‑call and incident‑response system.

Grafana OnCall Integration Example

Below is a concise walkthrough for wiring Grafana alerts to a Grafana OnCall contact point and escalation chain.

1. Create an OnCall Escalation Chain

resource "grafana_oncall_escalation" "critical_sre" {
  name = "Critical SRE Escalation"
  # … define steps, users, and rules here …
}

2. Define a Contact Point that Uses the Escalation

resource "grafana_contact_point" "oncall_sre_critical" {
  name = "OnCall SRE Critical"

  grafana_managed_alert {
    type = "oncall"
    settings = {
      escalation_id = grafana_oncall_escalation.critical_sre.id   # reference the escalation above
      # Additional settings (message templates, etc.) can be added here
    }
  }
}

3. Attach the Contact Point to a Notification Policy

1. Open a Grafana Alert Rule (e.g., “High CPU Usage”).
2. In the Contact Point dropdown, select “OnCall SRE Critical.”

This tight integration ensures that alerts created in Grafana flow directly into the OnCall system, leveraging all defined schedules and escalation paths.

Comparative Analysis: PagerDuty vs. Splunk On‑Call vs. Grafana OnCall

Key Considerations for Your Migration

Feature Parity & Must‑Haves

• Critical Alerting: Non‑negotiables for routing, deduplication, suppression.
• On‑Call Logic: Need for complex rotations, tiered escalations, regional overrides?
• Communication Channels: Required methods (SMS, voice, push, Slack, Teams).
• Incident Automation: Runbook automation or auto‑remediation features you rely on.

Cost Analysis

• Licensing Model: Per‑user costs, tier limits, extra charges for calls/SMS.
• Hidden Costs: Implementation services, training, integration development.
• ROI: Long‑term value—saved incident resolution time, improved efficiency.

Integration Ecosystem

• Existing Monitoring: List tools (Prometheus, Datadog, New Relic, etc.) and verify native integrations.
• Communication Tools: Ensure seamless Slack, Microsoft Teams, or other platform integration.
• Ticketing & Project Management: Look for Jira, ServiceNow, Pendo, etc., integrations for incident tracking.

Ease of Migration & Data Import

• API Capabilities: Robust API for automating transfer of schedules, users, integrations.
• Migration Tools: Vendor or community scripts/tools to aid transition.
• Historical Data: Decide whether to migrate past incidents or start fresh.

Team Familiarity & Training

• User Experience: Run trials with a small team to gauge UI/UX.
• Training Resources: Availability of docs, tutorials, support.
• Change Management: Plan internal communication and training sessions for smooth adoption.

Conclusion

The forced migration from OpsGenie is an opportunity to reassess and optimize your incident‑management strategy. While PagerDuty, Splunk On‑Call, and Grafana OnCall each present compelling alternatives, the “best” choice hinges on:

• Your team’s specific requirements.
• Existing technology stack.
• Budget constraints.
• Desired feature set.

We recommend a structured approach: conduct a thorough internal audit of your current processes, run pilot evaluations of the shortlisted solutions, and weigh the trade‑offs outlined above before committing to a migration path.

OpsGenie Usage: Prioritizing Must‑Have Features

To evaluate the three solutions in depth, run trials and consider the ease of integration and user adoption for your 50‑person engineering team. By taking a methodical approach, you can turn this challenge into an opportunity to enhance your incident‑response capabilities and operational resilience.