Deployment Analytics (DORA Metrics)
Learn about DORA Metrics & Oobeya Deployment Analytics.
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Learn about DORA Metrics & Oobeya Deployment Analytics.
Last updated
Was this helpful?
are a set of metrics that measure the performance of DevOps practices and processes in organizations. The metrics include , and they aim to provide a comprehensive view of an organization’s ability to deliver value to customers. Learn more about DORA Metrics .
Lead Time For Changes: The amount of time it takes a commit to get into production.
Deployment Frequency: How often an organization successfully releases to production. High-performing software teams release often and in small batches.
Change Failure Rate: The percentage of deployments causing a failure in production.
Time to Restore Service: How long it takes an organization to recover from a failure in production.
Oobeya developed a mechanism for calculating across platforms/tools (VCS, CICD, and APM-Incident Management tools) so that any organization can accurately and effortlessly track the journey of a commit from development to production deployment.
Furthermore, no changes to workflows or pipelines are required; Oobeya seamlessly integrates with existing tools to calculate DORA metrics.
DORA metrics are quite popular in the industry. However, working with them is extremely difficult. Let’s take a look at how your company can calculate and track DORA Metrics to gain complete visibility into complex delivery cycles.
Detecting production failures is the most critical and challenging component of tracking DORA metrics. While it can be challenging, organizations can overcome these challenges by using the right tools and following best practices.
In this article, we will take a closer look at one of , Lead Time For Changes (Change Lead Time), and how it can be reduced to optimize software development and delivery processes.
