Engineering MetricsThat Actually Matter
Stop hunting through Jira, GitHub, and monitoring tools for your team's performance data. Aim automatically tracks engineering KPIs and alerts you to trends that need attention.
Engineering Director Dashboard Preview
Aim Insight: Deploy frequency increased 40% after removing bottleneck in staging environment.
Engineering Team Challenges
Scattered Metrics
Engineering metrics spread across Jira, GitHub, DataDog, and monitoring tools
Manual Reporting
Hours spent creating sprint reports and performance dashboards
Reactive Monitoring
Finding out about issues after they've already impacted users
No Context
Metrics without the story - why did deployment frequency drop?
KPIs by Engineering Role
From individual contributor metrics to executive-level insights, Aim tracks what matters for your role.
CTO
Engineering Manager
Sr Engineer
Platform Director
Built for DORA Metrics & Beyond
Automatically track the four key DevOps metrics plus custom engineering KPIs that matter to your team.
DORA Metrics
- • Deployment Frequency
- • Lead Time for Changes
- • Mean Time to Recovery
- • Change Failure Rate
Team Metrics
- • Sprint Velocity & Planning
- • Code Quality & Review Time
- • System Performance & Uptime
- • Cost Optimization & Usage
Connects to Your Engineering Stack
Seamless integrations with the tools your engineering team uses every day.
+ GitHub, GitLab, Jenkins, DataDog, New Relic, AWS, Azure, GCP, and more
Ready to Focus on Building, Not Reporting?
Join the beta and see how Aim transforms engineering metrics from scattered data into actionable insights.
Get Early Access