In a team that builds and runs its own services, the engineer who ships the change is also the one who gets paged when it breaks. That model works when the tooling keeps up: alerts reach the owner of the service, the incident has a clear commander, customers hear about it and the lesson ends up in the backlog. IncidentBot gives DevOps, SRE and platform teams that whole loop in one product, priced per seat.
| Service | Owning team | Escalation policy | Runbook |
|---|---|---|---|
| checkout-api | Payments | Payments primary, 3 tiers | Attached |
| auth-service | Identity | Identity primary, 2 tiers | Attached |
| web-frontend | Web | Web primary, 2 tiers | Attached |
| payments-worker | Payments | Payments primary, 3 tiers | Attached |
Each service has an owning team, an escalation policy and a runbook. When an alert fires for checkout-api, the checkout team's on-call engineer is paged, not a central operations queue. On Business, the service catalog adds dependencies and ownership, so an incident on a shared database shows which services downstream are affected.
/incident opens a dedicated channel such as #inc-2481-checkout-api-latency, invites the on-call engineer, assigns commander, communications lead and scribe, and posts the service runbook. Severity SEV1 to SEV4 drives who else is paged and whether a status page update is expected. The live timeline records deploys you mention, graphs you share and every decision. See every command on the Slack incident management page.
The communications lead publishes status page updates drafted from the incident in one click, and subscribers are notified. Support, product and leadership follow along as stakeholder viewers, included on every plan and not billed, so the incident channel stays focused on the fix.
When the incident is resolved, the postmortem draft is already filled with the timeline. The team writes contributing factors in a blameless format, and action items go straight to Jira or Linear. MTTA and MTTR per service and team show whether reliability work is paying off. More on the incident postmortem page.
Many teams run separate products for alerting and on-call, for Slack incident response, for the status page and for postmortems, each with its own seats and its own copy of the service list. Every handoff between them is a place where a step is forgotten during a real incident. IncidentBot keeps the whole lifecycle on one record: alert, page, coordinate, inform, learn.
Starter covers a single team getting its first rotation and Slack incident channels in place. Team is the usual choice for several product teams with a shared process: unlimited schedules and escalation policies, roles and severity levels, runbooks, three status pages, postmortem drafts and MTTA and MTTR reports. Business adds the service catalog with dependencies, workflow automation, SSO/SAML and audit log. Compare them on the pricing page.
Connecting one monitoring tool, creating a rotation and an escalation policy and installing the Slack app is usually done in an afternoon. Importing existing schedules from Opsgenie or PagerDuty shortens it further.
No. Pages go out by mobile push, SMS, voice and email as well as Slack, so an outage in Slack does not stop anyone from being reached.
Services, schedules, escalation policies and integrations are available through the API, so teams that manage infrastructure as code can keep them in their repositories.
Connect your monitoring, give each service an owner and let every incident run the same way. Try the full lifecycle in the incident response platform demo first.
Your work email and your team size. That is all we need to set up the account.
One price per seat for alerts, on-call, Slack incidents, status page and postmortems.