Product
One place to run the whole incident
From the alarm to the postmortem, Ember reads the evidence, ranks the cause, drafts the fix and documents the incident. The on-call stays on the decision.
What Ember does during an incident
Reads the alarm in context
PagerDuty, Opsgenie, Grafana and CloudWatch alarms arrive with their service, severity and the noise around them. Ember opens the incident and starts reading immediately.
Correlates logs and traces
It pulls the signal from noisy logs and distributed traces, lines the errors up on a timeline, and keeps the specific lines it used so the on-call can check them.
Watches the deploy feed
Recent releases, config changes and feature flags are correlated with the alarm. When the timing lines up, Ember says so and ranks the change accordingly.
Names the root cause, in plain language
A ranked cause with a confidence and the evidence behind it. Not another dashboard to read, a sentence you can act on, with the receipts attached.
Drafts the fix or rollback
Ordered steps with real commands, fastest safe path to recovery first. A human runs them. On Team you can approve a rollback from Slack.
Writes the timeline as it goes
Every step is logged the moment it happens, so the incident is documented while it runs rather than reconstructed the next morning.
First-draft postmortem
When you stand down, a postmortem is already written: what happened, the impact, the root cause and action items. You edit and share instead of starting from a blank page.
Model-agnostic routing
A thin layer routes each task across models and providers, and fails over during an incident. On Scale you register your own endpoints.
Runs where the incident lives
Slack, Jira, GitHub and your wiki, two-way. Ember fits your stack instead of asking your team to move to a new one.
Run a real incident
Pick an incident and run it. Ember reads the telemetry live and returns the root cause, a drafted fix, the timeline and a postmortem.
PagerDuty: [SEV2] checkout-api 5xx rate 8.4% (threshold 1%) for 4m, p95 latency 2.9s
14:58 deploy checkout-api v2025.7.3 (PR #4821: swap Redis client, raise pool to 200) 14:31 flag `promo_engine_v2` enabled at 25%
15:02:11 checkout-api ERROR pool timeout acquiring connection after 5000ms (redis) 15:02:11 checkout-api WARN retrying charge idempotency-key=... attempt=3 15:02:12 checkout-api ERROR upstream payments 503 after 3 retries 15:02:12 redis INFO connected_clients=200 blocked_clients=147 maxclients=200 15:01:58 checkout-api INFO deploy v2025.7.3 healthy, warmup complete 15:02:14 checkout-api ERROR 500 POST /charge trace_id=6b2a... duration=5031ms
Pick an incident and run it. Ember returns a ranked root cause, a drafted fix or rollback, the timeline and a first-draft postmortem, live.
Details that matter at 2am
A human always runs production changes
Ember drafts and shows the commands. It never touches production on its own. Approvals on Team are explicit and logged.
Grounded, or it says so
Every cause cites its evidence. When the telemetry is thin, Ember lowers its confidence and tells you what it would check next.
Learns your services
Ember picks up your service names, ownership and past incidents, so the second incident on a service reads faster than the first.
Quiet when it should be
One incident, one thread. Ember posts where the incident already lives instead of adding another tab to the scramble.
Signal, not noise
Evidence, cited
The lines Ember keyed on, lit out of the noise.
Cause, resolved
Noise sharpens into a single ranked root cause.
Confidence, scored
Ranked by how well the evidence supports it.
Put Ember on your next incident.
Start free and run a real incident in a minute, or talk to us about Team and Scale.