Key Metrics of DevOps

DevOps metrics are data elements that immediately expose the performance of a pipeline in the software development of DevOps. It is used for rapid detection and elimination of any constraints. And also to determine the professional abilities and teamwork operations of DevOps. Become a Master in DevOps with an exclusive DevOps Course. Let’s read forward and understand the top six key metrics of DevOps.

  • Change Failure Rate

For better performance of DevOps operations, the companies need to consider the failure rates too. Because If the more frequent adjustments fail too frequently, it could result in a loss of revenue and consumer satisfaction. Change Failure Rate is a long-term solution for many existing problems. 

The Change Failure Rate is the percentage of releases that result in unanticipated outages or other product failures. If the Change Failure Rate is low then it indicates that deployments happen frequently and promptly which is valuable. Whereas, when the Change Failure Rate is high, it indicates a lack of application consistency which might result in bad results for users.  A growing failure rate, or one that is high and does not decrease with time, is a good indicator of issues with the DevOps process as a whole.

  • Customer Tickets

Customer satisfaction is a successful element for any business. But customers may receive some bugs or faults sometimes. So they contact customer service and provide comments. This DevOps customer ticket metric will act as a good indicator of how well you are doing by using Customer Tickets. Customer Tickets are labelled as a problem or issue of an individual customer. 

See also  Best Practices for Multilingual Websites to Attract Your Target Audience

Using this we could understand how customers are reacting to our product. Customers act as quality control by reporting defects and faults, hence a big number of tickets suggests difficulties with the application’s quality, whereas a small number of Customer Tickets is a good signal of its robustness.

  • Deployment Frequency

Measuring Deployment Frequency allows you to see how effectively your current processes are working. Deployment Frequency has now become a criterion for separating high and low performing teams. Because not all deployments are pushed to production, this indicator focuses on the technical efficiency of the deploy pipeline rather than the frequency of deliveries. When Deployment Frequency is evaluated on a daily or weekly basis, it can provide crucial insights into a company’s workflow as well as information goals for improvement. It also provides you with a clear picture of which modifications were the most useful and which areas still require work. A rapid drop in Deployment Frequency could indicate that your workflow is unbalanced, backed up by other projects, or you’re short on people. 

  • Mean Time to Recovery(MTTR)

Mean Time to Recovery(MTTR) is one of the prominent metrics of DevOps that will measure the time that could be taken by a company to get back from the failure of deployment. Whenever companies receive a failure in the deployment process, then they must figure out how much time will it take to find the issue and resolve it. To resolve the issues and make this MTTR time decrease, both the developer’s team and operations team must work together and find the problem and resolve it. The Mean Time to Recovery is calculated in hours and minutes. Mean Time To Recovery helps lowers the effect of problems, lowers costs and maintains customer happiness.

  • Lead Time
See also  Common Challenges That Everyone Faced In Website Optimization

Lead time can be said as a delivery time. The amount of time it takes to write software to deliver that software. The team must precisely define the start time and completion time of the work to be able to calculate the delivery time. The focus is to eliminate the entire deployment time by automating deployment and optimizing test integration and automation. Increasing lead times imply the presence of damaging bottlenecks. Whereas, Reduced lead times show that the DevOps team is adaptable, productive, and capable of responding to customer input quickly. It is useful to gain information about the efficiency of the entire development process and helpful for assessing workflow and productivity. 

  • Defect Escape Rate

Defect Escape Rate is the most useful metric of DevOps. Defects, errors, and issues are normal in any software even with the best pipeline. These defects will generally get identified during the testing process by the DevOps team. However, some errors are difficult to identify by the developers but users may find them. This is a very problematic situation because any software’s aim is to make sure they give the best experience for their customer. 

That’s when Defect Escape Rate comes into the picture. It measures the number of faults identified in the software during the pre and post-production processes. 

Using this we can identify the errors, and also it helps in knowing where the quality process should be improved and tightened.