For Engineering Teams
Get engineering metrics instantly
DORA metrics, incident data, deploy frequency, and pipeline health — pulled from your existing tools, answered in Slack.
Trusted by forward-thinking teams
Your metrics are scattered across too many tools
Incident happens at 2am.
You're switching between PagerDuty, Datadog, and GitHub to find the root cause.
Sprint retro starts.
40 minutes spent pulling deploy frequency, MTTR, and PR data from Jira, GitHub, and Grafana.
VP asks about capacity.
You need data from 3 systems. There's no single dashboard. You open a spreadsheet.
See your engineering metrics, instantly
| Step | Users | Rate | vs Last Q |
|---|---|---|---|
| Signup | 4,200 | 100% | +12% |
| Activated (core action) | 2,520 | 60% | -2pts |
| Upgraded | 504 | 12% | -3pts |
| Paid M2 | 403 | 80% | +1pt |
How it works
Connect your tools
GitHub, Jira, PagerDuty, Datadog, Sentry, Linear, CircleCI — Bruin connects to your stack in minutes, not sprints.
Query in Slack
Type @Bruin what's our deploy frequency this sprint? and get the answer back with data, not a link to a dashboard.
Get data, not dashboards
Deploy frequency, MTTR, change failure rate, P95 latency, PR cycle time — SQL is generated and run against your data in seconds.
Connect your favourite tools
CI/CD, issue trackers, APM, incident management, source control — Bruin reads from them all.
+ 200+ integrations across every category
BRUIN FOR SLACK
AI data analyst in Slack
Tag @Bruin in any channel. It queries your CI/CD, APM, and issue tracker directly and returns the answer — not a link to a dashboard.
- "What's our MTTR this month?" → answer in 3 seconds
- SQL generated and executed against your actual data
- Works with GitHub, Jira, PagerDuty, Datadog, Sentry, and 200+ more
Made for every role on your engineering team
VP of Engineering
Team velocity, DORA metrics, capacity planning
Engineering Managers
Sprint health, PR throughput, blockers
SREs / DevOps
Uptime, incident trends, MTTR, deploy frequency
Security Engineers
Vulnerability trends, compliance, audit readiness
Staff / Principal Engineers
System health, tech debt, architecture decisions
QA / Test Engineers
Test coverage, flaky tests, regression tracking