AlarmJerk intelligently reduces noisy alerts, consolidates incidents, and routes them to the right on-call — so teams fix problems, not pester each other.
Designed to reduce noise, speed response, and keep teams focused.
Group related alerts, remove duplicates, and surface the root problem.
Route to the right on-call using schedules, escalations, and custom rules.
Understand alert trends, response times, and noise sources with actionable dashboards.
Three simple stages to cleaner on-call and faster resolution.
Connect your monitoring, logging, and cloud alerts via integrations or webhook to normalize events into a single stream.
Use rule-based and machine learning filters to merge duplicates, suppress non-actionable noise, and prioritize critical incidents.
Deliver alerts to the right person or channel with on-call schedules, escalations, and integrations to chat / incident tools.
Use-case driven workflows for different teams and industries.
Reduce paging, track MTTR, and centralize alerts across services and environments.
Prioritize security alerts, correlate events, and maintain an auditable incident trail for SOC workflows.
Ensure critical alerts are routed reliably to on-call staff and escalate when necessary to maintain safety and uptime.
Detect and prioritize incidents that affect revenue and route them to the teams that can act immediately.
Simple plans that scale with your on-call needs — free trial available.
Free
Up to 3 users, basic dedupe, email alerts, 14-day retention.
$29 / user/mo
Full routing, integrations, on-call schedules, 90-day retention.
Custom
SAML, SLAs, dedicated support, on-prem connectors, custom retention.
Real feedback from on-call engineers using AlarmJerk.
"We cut false pages by 72% — our nights are so much calmer."
"The routing rules and escalation chains work exactly as we needed."
Questions about integrations, pricing, or enterprise support? Drop us a line.
Built by on-call engineers who were tired of noisy alerts. AlarmJerk combines pragmatic rules with ML enhancements to reduce noise and improve meantime-to-repair.