Incident Intelligence
MTTR, Change Failure Rate,
and On-Call Health in one place
Koalr connects PagerDuty, OpsGenie, and incident.io to give you the complete DORA incident picture — automatically correlated with deploy events and team ownership.
Incident metrics Koalr tracks
Mean Time to Recover (MTTR)
P50 and P90 MTTR from first alert to incident resolved, trended over time. Includes breakdowns by severity, team, and service.
Change Failure Rate
Percentage of deployments that cause incidents. Automatically correlated with deploy events from GitHub, ArgoCD, and CI/CD pipelines.
Incident Frequency
Weekly and monthly incident count by severity level. Spot upward trends before they become a reliability crisis.
On-Call Load
Hours paged per engineer per week. Surface who is carrying disproportionate on-call burden and when rotations are unbalanced.
Post-Mortem Coverage
Percentage of P1/P2 incidents with completed post-mortems, sourced from incident.io and PagerDuty. Track follow-through on blameless culture commitments without building your own report.
Repeat Incidents
Recurrence rate for incidents with the same root cause tag. A leading indicator of unresolved technical debt.
Three incident sources, one view
No competitor tracks all three. Koalr normalizes incident data from PagerDuty, OpsGenie, and incident.io into a unified severity model.
PagerDuty
Incident timeline, severity, acknowledgment time, resolution time, escalation path, on-call schedule.
OpsGenie
Alert history, team routing, MTTR per team, escalation policy compliance, on-call rotation coverage.
Incident.io
Incident status updates, follow-up action completion rate, severity mapping, retrospective completion.
The signal no one else gives you: deploy → incident correlation
Koalr is the only engineering platform that automatically links each incident back to the most recent deploy. When PagerDuty fires a P1, Koalr shows you which PR and which engineer triggered the deploy that preceded it — without manual tagging.
73%
of incidents are caused by a deploy in the prior 2 hours
4.2×
higher incident rate for deploys with 3+ risk signals
-38%
MTTR reduction when engineers know the causal deploy upfront
Questions Koalr answers for your reliability team
Why is our P1 MTTR so high this quarter?
Drill into the MTTR breakdown: is it detection time, escalation lag, or resolution time that's long? Koalr shows you P50/P90 per phase so you can fix the right bottleneck.
Which team is causing the most change failures?
Change failure rate broken down by team, repo, and deploy type. Find out whether failures cluster around a specific service, time of day, or engineer.
Are we burning out our on-call engineers?
Pages-per-engineer per week, alerting during sleep hours, and consecutive on-call weeks — surfaced automatically so your EM doesn't have to do spreadsheet math.
Did our reliability improve after the Q1 initiative?
Compare MTTR and incident frequency across date ranges. Show before/after improvement with exact numbers, not vibes.
Stop measuring MTTR in spreadsheets
Koalr connects to your incident management tools and gives you DORA incident metrics automatically — no manual logging, no spreadsheets, no lag.
Get early access →