DevOps has become the go-to standard for developing software. This is due to its potential of developing high-quality software at faster rates and ensuring that customer requirements are met steadfast. DevOps standards have also been significant in flawlessly combining the functions of development and operations teams as a particular entity instead of two diverse silos. To use the numerous benefits that it can bring to the software development process, it is essential to treat DevOps as a journey and not a destination unto itself. The essentially means collecting feedback, creating benchmark and continually measuring results to track progress. Here comes the tracking metrics into focus. Let us see the top 11 devops metrics and kpi to track for measuring devops.
Know the details of DevOps at- What is Devops? | The complete guide to DevOps (With Examples)
Top 11 DevOps Metrics And KPIs-
1. Deployment Frequency-
This KPI indicates how frequently new capabilities and features are rolled out. Deployment frequency must be tracked and measured on weekly or daily basis. Organizations that are scaling up their DevOps journey to improve efficiency mostly prefer to track this metric on a daily basis. The deployment frequency should either remain consistent or keep a little but consistent upward trajectory. Any sudden dip in deployment frequency shows that DevOps processes are being obstructed by bottlenecks in the workflow. Whereas, a high frequency of deployments is considered healthy, a high failure rate or spike in deployment time is seen as a sign of issues that should be resolved.
2. Deployment Time-
3. Failed Deployment Rate-
Deployments that has performance issues or leading to subpar customer experience is recognized as a failed deployment. Hence, tracking the rate or percentage of such deployments is an important metric of assessing DevOps success. Here the expectation is that teams will be able to build high-quality products from the beginning of a project, as the responsibility of keeping up the highest quality standards rests with the whole team and not simply the QA department. This should imply that there are no failed deployments at all. However, that is not a realistic expectation. Tracking of failed deployment percentages can help to take a stock of ground realities and prepare a plan to counter roadblocks. This pushes you nearer to the 0 failed deployment rate. However long your failure rate is below 5%, your DevOps processes can be viewed as robust. Failed deployment rate of 10% or more, indicates a need for overhauling the processes.
4. Change Failure Rate-
It refers to the extent to which releases lead to unexpected outages or other unplanned failures. Low change failure rate indicates that deployments occur rapidly and regularly. On the other hand, a high change failure rate shows poor application stability, which can lead to negative end-user outcomes.
5. Time To Detection-
Low failed deployment rate doesn’t mean that your processes are free from issues. Time to detection is a KPI that helps you to understand whether your response time and application monitoring processes are functioning optimally. DevOps teams should strive to limit the time between the rise of an issue and its detection and remedy. Also, the closer your time to detection is to zero, the more robust your DevOps processes. This can’t be achieved without implementing appropriate protocols and establishing communication channels between team members.
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