DORA Metrics

Focusing on DevOps metrics (Deployment Frequency, Lead Time for Changes) to measure the health of the delivery pipeline, not just individual code output.

Measuring What Matters

You cannot improve what you do not measure. However, measuring the *wrong* things (like lines of code or hours worked) leads to perverse incentives. I rely on the DORA (DevOps Research and Assessment) framework because it empirically links software delivery performance to organizational reliability.

These metrics give us a balanced view of "Speed" vs. "Stability," ensuring we don't sacrifice quality for velocity, or allow bureaucracy to stifle innovation.

The 4 Key Metrics

1. Deployment Frequency

How often do we successfully release to production?

2. Lead Time for Changes

How long does it take for a commit to get into production?

3. Mean Time to Restore (MTTR)

How quickly can we recover from a failure in production?

4. Change Failure Rate

What percentage of deployments cause a failure in production?

Targeting Elite Performance

On-Demand
Deploy Freq
< One Hour
Lead Time
< One Hour
MTTR
0-15%
Failure Rate

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