Deployment Analytics (DORA Metrics)

Learn about DORA Metrics & Oobeya Deployment Analytics.

What are DORA Metrics?

DORA (DevOps Research and Assessment) metrics are a set of metrics that measure the performance of DevOps practices and processes in organizations. The metrics include lead time, deployment frequency, mean time to restore, change failure rate, and they aim to provide a comprehensive view of an organization’s ability to deliver value to customers. Learn more about DORA Metrics here.

DORA Metrics Definitions

1. Lead Time For Changes: The amount of time it takes a commit to get into production.

2. Deployment Frequency: How often an organization successfully releases to production. High-performing software teams release often and in small batches.

3. Change Failure Rate: The percentage of deployments causing a failure in production.

4. Time to Restore Service: How long it takes an organization to recover from a failure in production.

Oobeya DORA Metrics - Why Oobeya is the best DORA tracking tool? ⭐

Oobeya developed a mechanism for calculating DORA Metrics 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.

Oobeya DORA Metrics

DORA Metrics Blog Posts 📚

How to Measure DORA Metrics Accurately?

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.

How To Reduce Lead Time For Changes (Optimizing DORA Metrics)

In this article, we will take a closer look at one of DORA Metrics, Lead Time For Changes (Change Lead Time), and how it can be reduced to optimize software development and delivery processes.

DORA Metrics Tracking: How to Effectively Detect Production Failures

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.

How-to Docs 📑

How To Calculate DORA Metrics for GitHubHow To Calculate DORA Metrics for Azure DevOpsHow To Start Deployment Analytics (DORA Metrics) For An Existing Gitwiser AnalysisUpdating Team Scorecard configuration to display DORA Metrics