Platform engineering metrics: What to measure and what to ignore
Datadog | The Monitor blog

Platform engineering metrics: What to measure and what to ignore


Summary

This article emphasizes the importance of quantifying the value of platform engineering initiatives through a tiered metric system. It advocates organizing metrics into outcomes (high-level impact like deployment frequency), drivers (system-level signals impacting outcomes, like CI overhead), and diagnostics (root cause analysis). By tracking these interconnected metrics – particularly DORA metrics alongside developer perception and platform adoption – platform teams can demonstrate ROI, secure funding, and ultimately prove the value of their work to the organization.
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