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Change Failure Rate Calculator

Change Failure Rate Formula:

\[ CFR = \frac{\text{Failed Changes}}{\text{Total Changes}} \times 100\% \]

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1. What is Change Failure Rate?

Change Failure Rate (CFR) is a key DevOps metric that measures the percentage of deployments that result in failure or require remediation. It helps organizations assess the stability and reliability of their deployment processes.

2. How Does the Calculator Work?

The calculator uses the Change Failure Rate formula:

\[ CFR = \frac{\text{Failed Changes}}{\text{Total Changes}} \times 100\% \]

Where:

Explanation: The formula calculates the percentage of changes that fail, providing insight into deployment quality and process stability.

3. Importance of CFR Calculation

Details: Monitoring Change Failure Rate is crucial for identifying process improvements, reducing deployment risks, and improving overall software delivery performance. Lower CFR indicates more reliable deployment processes.

4. Using the Calculator

Tips: Enter the number of failed changes and total changes during your measurement period. Failed changes must be less than or equal to total changes, and total changes must be greater than zero.

5. Frequently Asked Questions (FAQ)

Q1: What is considered a "good" Change Failure Rate?
A: Elite performers typically have CFR below 15%, while high performers maintain CFR between 16-30%. Rates above 46% indicate significant improvement opportunities.

Q2: How often should CFR be measured?
A: CFR should be tracked continuously and reviewed regularly (weekly, monthly) to identify trends and improvement opportunities.

Q3: What constitutes a "failed change"?
A: A failed change is any deployment that requires remediation, rollback, hotfix, or results in service degradation or outage.

Q4: How can we reduce our Change Failure Rate?
A: Implement automated testing, improve deployment processes, enhance monitoring, conduct thorough code reviews, and establish better rollback procedures.

Q5: Is CFR the only metric that matters?
A: No, CFR should be considered alongside other DORA metrics like Deployment Frequency, Lead Time for Changes, and Mean Time to Recovery for a complete picture.

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