Measuring DevOps Success
The meaning of DevOps is very flexible. Depending on the definition, organizations choose metrics to measure the success of their team. At first, the team needs to find the challenges and problems they are trying to solve. Then they can choose a metric. Thus they evaluate how fast they can move before they start breaking things.
DevOps Success in Four Proven Metrics
The first thing business needs to find before implementing DevOps is the key performance indicators of DevOp’s success and how it affects business results. To make the DevOps a success, they must choose the right metrics. Here are four proven metrics for DevOps success below
- Lead Time
Lead time means the time needed from code written to entering production. It measures how much time is required to implement, test, and deliver every bit of functionality. For measuring lead time, the clock starts when development starts and stops when the code enters production. It captures velocity. To measure it accurately, we know it is essential to find the exact start and endpoints to automate them.
- Deployment Frequency
DevOps use an automation system to deploy changes quickly and easily. So they can implement more than once per week and fix outages faster in production. It also helps to deliver value faster. There is no waiting or downtime for the next schedule; they can fix the newly reported critical security problem within a few days. It is measured based on the total number of active and successful deployment over the last month. It is marked by different colors like zero to one is red, two to three is yellow, and four or more is green.
- Mean-Time-To-Recover (MTTR)
Mean-Time-To-Recover (MTTR) is measured from the time of impairment to the time it resolves, then averaging all the values. Outage or pager software like Pager Duty, Opsgenie, or VictorOps provides these values. Instead of doing manually better faster to do in an automated system.
- Availability and Uptime
One of the essential key software delivery metrics is ‘time to restore service.’ Uptime is one of the ways to aggregate these metrics over time. The way to measure availability is subtracting the total time of outages for each service from the whole time and dividing it by the entire time. Before that, teams need to make sure they accurately measure the actual end-user experience.
DevOps is a continuous process and has no end goal. It focuses on experimenting, constant learning, and improving. It helps to measure progress in many ways and also provide solutions. Successful implementation of DevOps leads to a successful business.
