DORA Dashboard

The DORA framework (DevOps Research and Assessment) is a set of metrics that help teams measure software delivery performance. Integrated into your internal developer portal, DORA metrics give engineering teams clear insights into how fast, reliable, and efficient their development practices are. This empowers teams to track progress, identify bottlenecks, and drive continuous improvement — all within the same place they manage services and deploy code. Read more about these metrics in the dora.dev guide.

Use the DORA Dashboard in Cortex to evaluate the speed and stability of your software delivery process. Visualize your team’s success across the software process and get a clear view of cycle time, deployment frequency, change failure rate, and time to resolution.

Using the DORA Dashboard

To view the dashboard, click Eng Intelligence > DORA Dashboard in the main nav.

Adjust the time range

By default, the dashboard displays data from the last last month. To change the date range, click Last month and select a new date range.

Apply a filter option

For each chart, you can apply filters for group, owner, repository, user label, and more. To select filters, click Filter in the upper right corner of a graph.

Metric visualizations

You can select a different operation for the Cycle time and Time to resolution graphs. Options include average, sum, max, min, P95, and median. Both graphs display the average by default.

Cycle time

Cycle time represents the time it takes for a single PR to go through the entire coding process, measuring the timeframe from the first commit on a PR to when the PR is merged. Shorter cycle times indicate a more agile team that is able to quickly respond to changing needs.

Deployment frequency

Deployment frequency measures how often your team successfully releases code to production, serving as a key indicator of your delivery velocity and operational maturity. This DORA metric reflects your team's ability to deliver value continuously and respond quickly to market demands.

Change failure rate

Change failure rate measures the percentage of deployments that result in production failures, serving as a critical indicator of deployment stability and code quality. This DORA metric reveals how often your releases introduce bugs, outages, or performance issues that impact users.

Time to resolution (MTTR)

Time to resolution measures how quickly your team recovers from production failures, reflecting your incident response capabilities and system resilience. Also known as mean time to recovery (MTTR), this metric indicates how well-prepared your team is to handle inevitable production issues.