Ember runs the incident with you
When something breaks, Ember reads the alerts, logs, traces and recent deploys, names the likely root cause in plain language, drafts the fix or rollback, and writes the timeline and postmortem as it goes.
Free tier, no card. Model-agnostic.Reads your alerts, logs and deploys
Redis connection pool exhausted after deploy v2025.7.3
kubectl rollout undo deploy/checkout-apiThe alarm wakes the wrong person, and the clock starts
An alert fires. Someone half-awake opens six tabs: the pager, the dashboard, the log search, the deploy feed, the runbook, and a thread that is already twenty messages deep. Most of the incident is spent finding out what changed, not fixing it. Ember does the reading, so the on-call can decide.
median MTTR for teams before Ember
most of it triage, not repair
of incident time spent finding the cause
reading logs, not writing fixes
people pulled into a typical SEV2
context scattered across tabs
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.
Try Ember on a real alarm
Pick one of these incidents and run it. Ember reads the telemetry live and returns the root cause, a drafted fix, the timeline and a postmortem. Paste your own on the free tier.
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.
Everything an incident needs, in one thread
Reads your alerts
PagerDuty, Opsgenie, Grafana and CloudWatch alarms land in Ember with their context intact.
Reads logs and traces
Pulls the signal from noisy logs and distributed traces, and cites the lines it used.
15:02:11 ERROR pool timeout after 5000ms (redis)
Ember cited this line in the ranked cause
Watches your deploys
Correlates the alarm with recent releases, config changes and feature flags.
Plain-language root cause
A ranked cause with evidence and a confidence, not a wall of dashboards.
Drafts the fix or rollback
Concrete steps and commands, fastest safe path to recovery first.
Auto timeline and postmortem
The incident writes itself as it runs. The postmortem is a first draft, not a blank page.
Model-agnostic
Routes across models and providers. Bring your own endpoints on Scale.
Fits your stack
Slack, Jira, GitHub and your wiki, two-way. Ember works where the incident already lives.
Not a dashboard with a chatbot bolted on
Reasoning over messy telemetry under pressure is the hard part of an incident, and it is exactly what modern language models are good at. Ember is built around that from the first line: the model reads the evidence, the product gives it the tools to act, and every claim is tied back to a log line you can check.
- 1Alerts, logs, traces, deploys
- 2Model reads the evidence
- 3Grounded root cause + drafted fix
- 4Human decides, Ember logs it
The model does the reading
Correlating logs, traces and deploys under time pressure is the job. Ember hands that to the model and keeps the human on the decision.
Grounded, not guessing
Every ranked cause cites the evidence it used. If Ember cannot support a claim from the telemetry, it says what it would check next.
Model-agnostic by design
A thin routing layer picks the model per task and provider. No single-vendor lock-in, and Scale teams bring their own endpoints.
It gets sharper with your stack
Ember learns your services, your naming and your past incidents, so the second incident on a service reads faster than the first.
Shorter incidents, and a postmortem already written
The first SEV2 after we turned Ember on, it named the bad migration and drafted the rollback before I had finished reading the pager. We stood down in nine minutes.
Postmortems used to take a day and a half of chasing people for the timeline. Ember has a first draft written by the time we close the incident. We just edit.
Priced to your currency
A real free tier, Team for the whole rotation, and Scale inside your perimeter. Prices show in your local currency.
Free
For one on-call, one service
Run real incidents through Ember. Paste an alarm and logs, get a ranked root cause, a drafted fix and a timeline. No card.
Start free- 10 incident analyses a month
- Ranked root cause with evidence
- Drafted fix or rollback
- Auto timeline for each incident
- 1 connected alert source
- Community support
For an engineer who wants Ember on the next page they get.
Team
For the whole on-call rotation
Ember on every incident, wired into your alerts, logs and deploys, writing the postmortem while you fight the fire.
Start Team- Unlimited incident analyses
- Alerts, logs, traces and deploys connected
- Auto postmortems, exported to your wiki
- Slack and PagerDuty two-way
- Model-agnostic routing
- Incident history and MTTR trends
- Priority support
For a team that carries a pager and wants shorter incidents.
Scale
For platform and security teams
Ember inside your perimeter. Self-host or your own cloud, SSO, audit, a signed SLA, and your own model endpoints.
Talk to sales- Self-host or your VPC
- SSO, SCIM and audit log
- Bring your own model endpoints
- Data residency and retention controls
- 99.9% uptime SLA
- Dedicated solutions engineer
For regulated and security-first teams that keep everything in-house.
Prices are shown in your local currency, converted from the USD home price at a fixed rate. Sales tax is added where it applies. Every plan runs the same incident engine.
Before you turn it on
Put Ember on your next incident.
Start free and run a real incident in a minute, or talk to us about Team and Scale.