DORA Metrics: Your Guide to DevOps Performance Indicators

DORA Metrics: Your Guide to DevOps Performance Indicators

DORA metrics, created by the DevOps Research and Assessments team, are metrics that measure different data points, including MTTR (mean time to recover), DF (deployment frequency), CFR (change failure rate), and MLT (mean lead time for changes). Since it becomes difficult to measure the decentralized software development process, DORA metrics make that job simple for businesses. Many teams work on small parts of a big project from different locations in the world. It is a daunting task to keep track of all the activities thus DORA metrics have been introduced. In this article, we will learn about DORA metrics in detail.

What is the Importance of DORA Metrics in Tracking Teams’ Activities?

DORA metrics are designed specifically for engineering and DevOps leaders so that they can measure software stability/quality and delivery throughput/velocity. With these metrics, DevOps and engineer leaders can determine how their teams offer better products to their clients more quickly. DORA metrics provide real data to team leaders about the company’s DevOps success, allowing them to report to their managers and recommend changes.

With the help of DORA metrics, companies can coordinate business objectives and their progress. From the perspective of project management, these indicators provide insights into how and when teams can meet client demands. These indicators further help engineering and DevOps teams prove that DORA implementation has a tangible business value.

What are the Key DORA Metrics?

To make an organization’s development process a success, here are the four key metrics that the DORA team has identified.

Mean Time to Recover/MTTR

These metrics measure how much time a team takes to recover from an incident. A team that can recover from an event or incident fast is considered efficient. Thus, it is pivotal to restore services rapidly, i.e. with a short mean recovery time. By integrating competent monitoring systems with incident management platforms, elite performers utilize the relevant data to increase the MTTR. Zenduty is one such incident management system that integrates with numerous tools, including monitoring systems. With its Incident Command System, Zenduty helps teams to manage critical incidents. The robust remediation of incidents it performs makes it one of the best Opsgenie alternatives.

Deployment Frequency/DF

The speed with which an organization can deliver a new application to production is known as deployment frequency. Success is different for every team. Hence, deployment frequency is used to measure various indicators including how often code is published to production or delivered to end-users. Despite what deployment frequency measures on different team levels, top performers strive for more deployment, with numerous deployments every day.

Change Failure Rate/CFR

Change failure rate refers to the speed at which modifications in a company result in failure. Despite the core causes, unsuccessful deployment, incidents with quick fixes, and rollbacks all lead to the CFR. Just like the mean time to recover, the change failure rate contributes to the measurement of stability. With CFR, employers can also track the hours a developer spends on activities that add zero value to the business. It is important to understand the change failure rate as that can contribute to employers making an informed decision on where to invest to support the DevOps team.

Mean Time Lead for Changes/MLT

These core DORA metrics measure how much time it takes for the task to get into the processing stage. It enables engineering and DevOps management to see how healthy their teams’ working cycles are and if they can deal with an increase in requests. Like deployment frequency, this metric helps determine the pace of an organization’s processes.


DORA metrics can be a great help in determining the performance of an organization, especially its DevOps and engineering teams. With these indicators, businesses can also determine whether teams can respond to incidents faster or not. Speaking of incident responses, if you want to scale your business, integrate Zenduty with your other relevant tools. Its fast alerting system, optimized incident management, and on-call scheduling make it a worthy Opsgenie alternative.