From first alert to retrospective.
When something breaks, the right people get paged, the timeline writes itself, and the post-mortem starts before the dust settles. Severity, a running timeline, on-call schedules, and escalation policies. AI summarises what happened. Your team focuses on fixing it.
Detect, respond, learn.
A response that starts with context, runs on a live timeline, and ends with a written-up retrospective.
Detect
Monitor alerts auto-create incidents from templates. Severity, scope, and likely owners pre-populated. The right responder gets paged in seconds.
Respond
A live timeline records every action, message, and status change. Responders coordinate inside the incident. Stakeholders see the same view your team does.
Learn
AI drafts the post-mortem from the timeline. You edit, sign off, and tag follow-up Tasks. Lessons land in the knowledge base — not in someone's notebook.
The page that doesn't get missed.
Schedules, escalation tiers, and overrides — all in one rotation calendar that knows the incident's severity before it pages anyone. No alert ever falls through.
- Rotating shifts and follow-the-sun handoffs.
- Multi-tier chains with configurable backoff per severity.
- Every hop recorded in the incident timeline.
T+0s
Alert fires
A monitor flips. The platform opens an incident from a template — severity, scope, runbook link, and owning team filled in automatically.
T+5s
Primary on-call paged
The current rotation owner gets the page on their preferred channel — push, SMS, voice, Slack. The schedule knows whose shift it is.
T+5m without ack
Escalates to secondary
If the primary doesn't acknowledge in N minutes, the page escalates. Multi-tier chains, parallel notifications, configurable backoff per severity.
T+15m without ack
Escalates to manager
No alert ever falls through. The escalation chain runs to its end — and the platform records every hop in the incident timeline.
The retrospective that writes its first draft.
AI reads the timeline, the linked errors, the related deploys. It drafts a structured post-mortem. You edit, sign off, link the follow-ups.
Template structure
- Executive summary. Three sentences. What happened. How long. Customer impact.
- Timeline of events. Reconstructed minute by minute from the live incident log — alerts, actions, status changes.
- Contributing factors. Direct cause, contributing conditions, latent risks. AI suggests, you confirm.
- Action items. Each item promotable to a Task in one click. Owners and due dates assigned inline.
- Sign-offs. Owners review and approve. Lessons land in the knowledge base, linked back to the incident.
What AI fills in
- Drafts the summary. Reads the timeline. Identifies the start, the trigger, the resolution. Writes the three-sentence summary.
- Links related signals. Pulls in the failing traces, the spiking errors, the deploy that landed before the alert.
- Suggests root causes. Proposes contributing factors based on the evidence — never asserts a cause without showing the trail.
- Proposes follow-ups. Writes the action items as Tasks-in-waiting. Owners and severity inferred from the incident.
- You stay in control. Every section editable. Every claim traceable. Sign-off required before publication.
Everything an on-call engineer needs.
Coordination during the response. Documentation after it. Status during all of it.
Live incident timeline
Every status change, comment, and action recorded with timestamps. Reconstruct the response minute by minute, replay it for the team.
On-call schedules
Rotating shifts, follow-the-sun handoffs, and per-day overrides. Calendar view shows who's responsible for what at any time.
Escalation policies
Multi-level chains, parallel notifications, custom backoff. If the primary doesn't ack, the chain runs to its end.
Alert-driven creation
Monitors trigger incidents from 18 alert-rule templates. Severity, scope, runbook link, owning team filled in automatically. Less typing under pressure.
Status page integration
Push incident updates to your public status page in one click. Component state, customer-facing message, and ETA in one form.
Linked to your work
Incidents link to the Tasks, deploys, and knowledge entries that caused — or fixed — them. Follow-up actions become Tasks in one click.
A status page, no separate tool to maintain.
A public status page keeps the people who depend on you informed. It lives where the work does, so customers see the truth without you running a second tool to keep them in sync.
Public status page
Current health per service, posted the moment an incident opens.
Scheduled maintenance
Post planned windows ahead of time so customers know what to expect and when.
One source of truth
No copying updates between tools. The page reflects what is actually happening.
Related capabilities
Incidents are one stage of the loop. Here is what feeds them and what they feed.
Calmer incidents. Sharper retrospectives.
On-call rotations, escalation policies, AI post-mortems — all in one workspace.
