14 KPIs used to gauge DevOps success
Tags: devops, developer, performance, success
Published: 2023-02-08 02:32:00

KPIs are a contracted form of Key Performance Indicators. In order to measure the success of a DevOps process, several KPIs can be used. Some of the most popular ones are:

## 1. Application Performance:
Measure how well the application is performing in terms of response time, throughput, and resource utilization. This can help identify bottlenecks and areas for improvement.
 

## 2. Application usage and traffic: 
Measure the number of users accessing the application and the volume of traffic it handles. This can help identify trends and usage patterns, and identify opportunities to optimize performance.

## 3. The automated test pass percentage:
A high pass percentage indicates that the software is well-tested and of high quality.


## 4. Change Volume:
Number of changes made to the software, such as code commits, bug fixes, and feature additions. This can help identify trends and patterns in the development process.

## 5. Customer tickets:
The number of support tickets or customer complaints received. A high number of tickets may indicate issues with the software or poor customer satisfaction.

## 6. Defect Escape rate:
The percentage of defects or bugs that are found after the software has been deployed to production. A low defect escape rate indicates that the software is of high quality and has been thoroughly tested.

## 7. Deployment Time:
The amount of time it takes to deploy a new version of the software to production. A shorter deployment time can indicate a more efficient and streamlined process.

## 8. Error rates:
The number of errors or exceptions that occur in the software. A high error rate can indicate issues with the software or the need for better error handling.

## 9. Failed Deployments:
The number of deployments that fail or are rolled back. A high number of failed deployments can indicate issues with the deployment process or the software.

## 10. Availability:
The percentage of time that the software is available and accessible to users. High availability can indicate a stable and reliable system.

## 11. Deployment Frequency:
How often new versions of the software are deployed to production? A high deployment frequency can indicate a fast-paced and agile development process.

## 12. Lead Time:
The time it takes to go from code committed to code deployed in production. A shorter lead time can indicate a faster and more efficient development process.

## 13. Meantime to Detection (MTTD):
The average amount of time it takes to detect a problem or issue in the software. A shorter MTTD can indicate a more efficient and effective monitoring and alerting system.

## 14. Meantime to Recovery (MTTR):
The average amount of time it takes to resolve a problem or issue in the software. A shorter MTTR can indicate a more efficient and effective incident response and problem-solving process.



![14 KPIs](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/l26s1t3drx3bqfzxqbql.png)

Thanks for reading this.

If you have an idea and want to build your product around it, schedule a call with [me](https://calendly.com/pragyanatvade).

If you want to learn more in DevOps and Backend space, [follow me](https://dev.to/pragyanatvade).

If you want to connect, reach out to me on [Twitter](https://twitter.com/pragyanatvade) and [LinkedIn](https://www.linkedin.com/in/pragyanatvade/).