For Engineering Teams
Get engineering metrics instantly
DORA metrics, incident data, deploy frequency, and pipeline health, pulled from your existing tools, answered in Slack.
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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
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
Built on the Bruin platform
All-in-one data platform
From any source to any insight.
SECURITY & COMPLIANCE
Enterprise-Grade Security
SOC2 Type 2 certified with comprehensive security controls and audit capabilities.
Role-Based Access
Granular permissions
Audit Logs
Complete activity tracking
Single Sign-On
SAML 2.0 & OAuth
Encryption
AES-256 at rest & transit
Private Links
VPC peering support
Data Residency
GDPR compliant
Access Controls
IP whitelisting
Two-Factor Auth
Additional security layer
99.9%
Uptime SLA
24/7
Monitoring
SOC2
Type 2 Certified
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.