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.
Thanks for reading this.
If you have an idea and want to build your product around it, schedule a call with me.
If you want to learn more in DevOps and Backend space, follow me.
If you want to connect, reach out to me on Twitter and LinkedIn.
Top comments (0)