Implementing DevOps Metrics at enterprise level
summary
Standard Bank implements a metrics stack that pulls data from JIRA and Remedy into a Power BI MVP then automates collection with Hygeia executive dashboard collectors plus a custom team-management portal. Twelve metrics are defined (deployment lead time, change frequency, MTTD, MTTR, defect leak, etc.), 5 are live initially, and the survey of 350 teams shows the dashboard is valuable but manual extracts are unsustainable. The architecture correlates issue and change records to compute lead times and change frequency and is being extended to automate remaining metrics.
AI-written summary · about
chapters (6)
- 0:00Start
- 0:08Standard Bank Group: Engineering Practices
- 3:08Calculating the DevOps Score
- 10:47DevOps Dashboard: MVP
- 12:14DevOps Dashboard: Architecture
- 16:14What Did We Learn?
related talks
42mData-Driven DevOps
15mDelivering DevOps Business Metrics that Matter
01h 00mTop 10 Metrics for Successful DevSecOps Projects
59mDevSecOps Productivity Metrics and Tools
51mMeasuring DevSecOps: building metrics to understand effectiveness and success
37m#DataDrivenDevops
34m#DataDrivenDevOps
46mMeasuring DevSecOps: Building Metrics to Understand Effectiveness and Success
