Defend your error budget. Reclaim your weekends.
Track SLAs in real time, run on-call rotations with a real engine, and give every alert the context engineers need to fix it fast.
What you get with AlertifyPro
SLA tracking with real targets
Define per-service SLA targets and watch current vs actual in real time. Historical reports for every quarter.
On-call rotations with a real engine
Multi-period rotations (1–52), follow-the-sun, business-hours restrictions, and manual overrides that survive every re-projection.
Runbooks attached to every alert
Author runbooks once, attach them to services. Responders see the right playbook the moment they get paged.
Alert grouping & structured suppression
Group correlated alerts into one incident. Suppression rules (window-based, label-based, dependency-based) silence the right pages — not all of them.
Service dependency graph
Upstream / downstream mapping with health roll-up so one outage doesn't fan out into 40 redundant pages.
Postmortems linked to incidents
Every incident has detection, ack, response and resolution timestamps — pulled straight into a postmortem doc you author in-app.
Statistical anomaly detection
Z-score baselining over a rolling 50-check window — fires warning-level alerts only when p99 latency deviates from the learned mean. 15-minute cooldown keeps regimes from re-firing every check.
SLO multi-window multi-burn-rate alertsRoadmap
Page on fast burn (1h) and slow burn (6h) windows simultaneously so you catch both sudden outages and gradual budget exhaustion.
Multi-region active-active checksRoadmap
Run every probe from multiple geographies simultaneously and require quorum before paging — eliminates single-region false positives.
Built around the SRE workflow
From service definition to postmortem, AlertifyPro fits the practices your team already uses — without forcing you into a proprietary methodology.
- Create services from HTTP, gRPC, database or 11 other monitor types
- Group services and wire dependencies for impact roll-up
- Acknowledge from Slack, PagerDuty, Opsgenie, or the dashboard
- Attach runbooks to services so responders never hunt for them
- Author postmortems linked to the incident timeline
- Statistical anomaly detection (z-score) on latency signals
- Multi-window SLO burn-rate alerting wired into existing rotationsRoadmap
- Active-active probe execution across multiple regions with quorumRoadmap
SLA: checkout-api availability
Outcomes our customers see
“We finally stopped arguing about which alerts mattered. Alert grouping and the structured suppression rules cut our pager volume sharply — and we actually trust the pages we get.”
Frequently asked
Ready to see it on your stack?
Spin up your first monitor in under a minute. Free forever for the first 5 services.