# DevOps & DORA Metrics

### DORA Metrics Overview

DORA metrics are a set of key performance indicators used to evaluate the efficiency and reliability of software delivery processes in DevOps. They are divided into two main categories: **velocity metrics** and **stability metrics**.

### Velocity Metrics

* **Deployment Frequency (DF):** Measures how often code is deployed to production.
* **Lead Time for Changes (LT):** Tracks the time from code commit to deployment in production.

### Stability Metrics

* **Change Failure Rate (CFR):** Calculates the percentage of deployments that result in failures.
* **Mean Time to Recover (MTTR):** Measures the time it takes to restore service after a failure.

Recently, a fifth metric, **reliability**, has been introduced to assess operational performance.

### Example Computation

Let's consider an example of computing these metrics for a fictional company.

### Data

* **Deployment Frequency (DF):** 10 deployments per week.
* **Lead Time for Changes (LT):** Average of 2 days from commit to production.
* **Change Failure Rate (CFR):** 2 out of 10 deployments failed.
* **Mean Time to Recover (MTTR):** Average recovery time is 30 minutes.

### Computation

* **Deployment Frequency:** Already given as 10 deployments per week.
* **Lead Time for Changes:** 2 days.
* **Change Failure Rate:** 210×100=20%102×100=20%.
* **Mean Time to Recover:** 30 minutes.

### Interpretation

* **Deployment Frequency:** High frequency indicates efficient development processes.
* **Lead Time for Changes:** Short lead time suggests streamlined development pipelines.
* **Change Failure Rate:** A 20% failure rate indicates room for improvement in testing or deployment processes.
* **Mean Time to Recover:** Quick recovery time shows resilience in handling failures.

These metrics help teams identify areas for improvement and optimize their software delivery processes.