On-call comparison
WHAWIT vs Opsgenie
Teams leaving Opsgenie need a real on-call system, not a bolt-on. WHAWIT is one — and the page arrives already investigated.
Short answer
Yes — WHAWIT can replace Opsgenie. Schedules with rotating layers, overrides, and escalation policies with acknowledgement timeouts are native features, so WHAWIT can be the only on-call system your team runs. Atlassian has set Opsgenie's end of life for 5 April 2027 and stopped new sales in June 2025, so the migration question is live for a lot of teams; the argument for WHAWIT is that you get the on-call surface you are replacing plus an AI agent that investigates the incident before it wakes anyone.
Side by side
| Capability | WHAWIT | Opsgenie |
|---|---|---|
| On-call schedules and rotating shifts | ||
| Multiple rotation layers (primary, secondary) | ||
| Overrides for time off and shift swaps | ||
| Escalation policies with acknowledgement timeouts | ||
| Alert correlation and deduplication | ||
| Slack and Microsoft Teams notifications | ||
| WhatsApp as a paging channel | ||
| Autonomous agent team that investigates without pre-written runbooks or rules | ||
| Investigation runs on its own cycle, not only in reaction to a page | ||
| AI root-cause investigation before the page is sent | ||
| Root-cause hypothesis and suggested fix inside the notification | ||
| Reads your observability stack read-only (Datadog, CloudWatch, Sentry, …) | ||
| Investigation available in the IDE and over MCP | ||
| Alert intake from Opsgenie | ||
| Voice-call paging (Twilio) | ||
| Native mobile app with push notifications |
Based on each vendor's public documentation as of August 2026. Opsgenie is a trademark of its respective owner and is not affiliated with WHAWIT.
Where the products actually differ
A migration that upgrades the workflow, not just the vendor
If you have to rebuild your rotations somewhere anyway, rebuild them somewhere that also does the triage. WHAWIT reproduces the schedules, layers and escalation chains you had, then adds the root-cause investigation on top.
Agentic, not a decision tree you had to write
Automation in traditional paging tools is rule-based: you author the mapping from alert to action, and you maintain it as the system changes. WHAWIT runs a standing team of five specialist AI agents that reason about each incident from what they find, choosing what to investigate next based on the previous step. There is no runbook to write first, and nothing to keep current.
The page carries an answer, not just a subject line
Before a human is involved, WHAWIT reads the logs, metrics and recent deploys around the failure and forms a root-cause hypothesis. That hypothesis, its evidence and a suggested fix travel with the notification.
It works on the observability tools you already pay for
Read-only connections to Datadog, CloudWatch, Sentry, New Relic, BetterStack and 20+ others. No agents to install, no telemetry to migrate.
WhatsApp is a first-class channel
WHAWIT pages on WhatsApp, SMS and voice call alongside Slack, Teams, Discord and email, configurable per escalation level — which matters for distributed teams whose responders do not live in one messaging app.
Questions teams ask
Can WHAWIT replace Opsgenie?
Yes. WHAWIT includes native on-call management — schedules, rotating layers, overrides, and escalation policies with per-level acknowledgement timeouts — so it can fully replace Opsgenie as your paging system, and it investigates each incident across your logs, metrics and code before paging.
We are migrating off Opsgenie. What does moving to WHAWIT involve?
You rebuild your schedules and escalation policies in WHAWIT, which covers the same concepts: layers with daily, weekly or custom rotations, handoff times, restricted coverage windows, overrides, and ordered escalation levels with acknowledgement timeouts. You can run WHAWIT alongside your current setup during the transition — it ingests Opsgenie alerts, so nothing goes dark while you cut over.
Does WHAWIT support the escalation concepts we used in Opsgenie?
Yes. Escalation policies are ordered levels, each naming its targets — an individual, an entire on-call schedule, or an escalation team — with a per-level acknowledgement timeout and optional per-level notification channels. The whole chain can repeat a configurable number of times if the incident stays unacknowledged.
Run them side by side
Keep Opsgenie paging while WHAWIT investigates the same incidents. Compare the two on your own outages before you move a single rotation.