Incidents route, escalate, and resolve themselves across your cloud-native infrastructure. Your on-call team exhales. The pipeline just flows.
Every card is a
live system
Hover to trigger animations. Click to expand architecture. The deeper you go, the more the platform proves it speaks your stack.
Smart Routing
Rules-as-YAML. Incidents split into parallel workflows, route by service ownership, severity, and on-call schedule — in milliseconds.
Auto-Remediation
Trigger runbooks automatically. Restart pods, rotate certs, scale clusters — before a human reads the alert.
SLA Engine
Per-service SLA policies with automatic escalation. Countdown timers in your dashboard, not just in your head.
YAML-Native Config
Every routing rule, escalation policy, and runbook lives in version-controlled YAML. PR reviews for your incident management.
Unified Observability
Ingest from Datadog, Prometheus, CloudWatch. Correlate signals. Surface root cause before escalation.
On-Call Scheduler
Rotation schedules, overrides, and escalation chains that actually respect your team's timezone.
Stopwakingupat 3amforalertsthatresolvethemselves.Startdeployingincidentmanagementthatshipslikeyourcode.
Your stack,
already supported.
Connect Dispatch to the tools you already run in production. No custom webhooks, no glue code. Everything configured in YAML, versioned in git.
Numbers from
real deployments
We retired PagerDuty's manual escalation the day we deployed Dispatch. Our P1 MTTR went from 23 minutes to under a minute. The YAML config fits naturally into our gitops workflow.
Our on-call rotation was burning people out. Dispatch auto-resolved 91% of our Kubernetes noise in the first week. The team actually sleeps through the night now.
I evaluated ServiceNow and Jira Service Management. Both needed an admin. Dispatch needed a YAML file. For a 40-person engineering org, that's the only answer.
What problem are you
routing around?
Deploy in under 2 minutes. No servers to provision, no admin to hire. Your first incident routes itself.