Study why, what, and how to define a success DevOps pipeline

What are DevOps metrics?

Firstly, DevOps metrics helps to measure the performance of a software development pipeline and then help quickly identify and remove any bottlenecks in the process. A great DevOps process will enhance the collaboration between developers and system administrators.

Four critical DevOps metrics

Lead time for changes

High-performing teams typically measure lead times in hours, versus medium and low-performing teams who measure lead times in days, weeks, or even months.   

Test automation, trunk-based development, and working in small batches are key elements to improve lead time. These practices enable developers to receive fast feedback on the quality of the code they commit so they can identify and remediate any defects. Long lead times are almost guaranteed if developers work on large changes that exist on separate branches, and rely on manual testing for quality control.    

Change failure rate

High-performing teams have change failure rates in the 0-15 percent range. 

The same practices that enable shorter lead times — test automation, trunk-based development, and working in small batches — correlate with a reduction in change failure rates. All these practices make defects much easier to identify and remediate. 

Tracking and reporting on change failure rates isn’t only important for identifying and fixing bugs, but to ensure that new code releases meet security requirements.

Deployment frequency

High-performing DevOps pipeline can deploy changes on demand, unlimited times a day. Lower-performing teams are often limited to deploying weekly or monthly.  

The ability to deploy on demand not only requires a DevOps process to be quick and fast, but also combine the automated testing and QA feedback mechanisms to be precise. The reduction of human intervention will be

Mean time to recovery

High-performing teams recover from system failures quickly — usually in less than an hour — whereas lower-performing teams may take up to a day or a week to recover from a failure. 

The ability to recover quickly from a failure depends on the ability to quickly identify when a failure occurs, and deploy a fix or roll-back any changes that led to the failure.

This is usually done by continuously monitoring system health, alerting system, and pre-built Disaster Recovery Plan. The operations staff must have the necessary processes, tools, and permissions to resolve incidents.


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