Flow Metrics
Optimizing DevOps Workflows
Tasktop describes that there are four Flow Metrics that measure how value flows through a product’s value stream, calculated on four Flow Items – units of work that matter to a business: features, defects, debt, and risk.
Any task or effort a software delivery organization undertakes can be categorized as one of these core Flow Items.
- Flow Velocity gauges whether value delivery is accelerating also referred to as throughput.
- Flow Time measures the time it takes for Flow Items to go from ‘work start’ to ‘work complete’, including both active and wait times.
- Flow Efficiency is the ratio of active time vs. wait time out of the total Flow Time and
- Flow Load monitors the number of Flow Items currently in progress (active or waiting) within a particular value stream.
DORA
Google’s DevOps research team defined ‘DORA‘ – ‘Four Keys’ of Deployment Frequency (DF), Lead Time for Changes (LTC), Mean Time to Recovery (MTTR), and Change Failure Rate (CFR).
Best Practices
An ongoing article series on implementing flow metrics best practices.
Flow Metrics offer a methodology for effectively quantifying and improving the throughput of DevOps work streams.
An overview of Google’s ‘DORA’ DevOps metrics, plus real-world insights gained from their adoption at Jobber.
Learn from the 2021 Google Cloud DevOps Award winner, Deutsche Bank, on how they have been accelerating their DevOps with DORA principles.
Vendors
The Channel Partners Marketplace lists members and showcases their partnering program.
The Channel Partners Marketplace lists members and showcases their partnering program.
