How it works
Connect once, then let Ember read
Ember sits on your existing alerts, logs and deploys. When one pages, it runs the incident with the on-call: reading the evidence, ranking the cause, drafting the fix and writing the record.
Four steps, one thread
Point Ember at your signals
One alert source (PagerDuty, Opsgenie, Grafana) and one log source is enough to start. Add traces and the deploy feed to sharpen the reading.
Ember does the triage
The moment an alarm fires, Ember correlates the logs, traces, metrics and recent changes, and pulls the lines that matter out of the noise.
Root cause and a drafted fix
A ranked cause with evidence and a confidence, and a drafted rollback or fix with the exact commands, fastest safe path first.
The human runs it
Ember never touches production on its own. You run the fix. Ember logs each step and writes the timeline and postmortem as you go.
Alarm to postmortem, one thread
- 00:00
The alarm fires
Ember picks up the alert the moment it pages: the signal, the service, the severity, and the noise around it. It opens the incident and starts reading while you are still finding your laptop.
- +40s
It reads the telemetry
Logs, traces, metrics and the last deploys, correlated on a timeline. Ember pulls the lines that matter out of the ones that do not, and lines the errors up against what changed.
- +2m
Root cause and a drafted fix
A ranked root cause in plain language, with the evidence it keyed on and a confidence. Beside it, a drafted rollback or fix with the exact commands, fastest safe path first.
- resolved
The timeline writes itself
Every step is logged as it happens. When you stand down, the incident timeline and a first-draft postmortem are already written, ready to edit and share.
checkout-api 5xx rate 8.4% (threshold 1%) for 4m
p95 latency 2.9s · 3 services affected
Alarm fired. The clock starts.
Redis connection pool exhausted after deploy v2025.7.3
kubectl rollout undo deploy/checkout-apiAction items: add a test for the pool regression, alert on Redis saturation, shorten the rollback path.
Ember decides nothing on production
Ember is a commander, not an actor. It reads, ranks and drafts. A person approves and runs anything that changes production, and every step is recorded.
Drafts, never executes
Rollbacks and fixes are shown with the exact commands. A human runs them.
Explicit approvals
On Team, a rollback can be approved from the incident thread in Slack, and the approval is logged.
Full audit
Every read, rank and action is on the timeline, so the postmortem is a record, not a reconstruction.
See it on your own incident.
Start free and run a real alarm through Ember in a minute.