Software Delivery
Engineering Velocity: Beyond Story Points and Sprints
Engineering velocity has become a central concern for software teams and technology leaders seeking to maximize business impact. Yet, velocity is too often misunderstood, reduced to simple tallies of story points completed or sprints run. While these agile metrics offer surface-level indicators of progress, they fail to capture the holistic picture required for effective decision-making and continuous improvement.
In this comprehensive post, we’ll explore how engineering velocity should be measured, why legacy metrics like story points and sprint counts fall short, and which modern, actionable metrics—powered by platforms such as Gitrolysis—can provide deeper insights into product engineering effectiveness. Whether you’re a CTO, engineering manager, team lead, or developer, understanding the full landscape of engineering velocity will enable smarter strategies, faster feedback cycles, and higher performing teams.
Deployment Frequency: How Elite Teams Ship Multiple Times Per Day
Modern software development teams face mounting pressure to deliver value rapidly and consistently. Deployment frequency—how often engineering teams release code to production—is one of the cornerstone DORA metrics used to benchmark developer productivity and software delivery performance. Elite teams now reliably achieve multiple deployments per day, turning continuous delivery from an aspiration into a standard practice.
In this guide, we examine the critical drivers behind high deployment frequency, share proven strategies adopted by top-performing organizations, and highlight how leveraging git analytics and actionable engineering team metrics, via platforms like Gitrolysis, can transform how your team ships software and drives business outcomes.
DORA Metrics: The Complete Implementation Guide for Engineering Teams
DORA metrics have rapidly become the gold standard for measuring software delivery performance across engineering organizations. As businesses embrace digital transformation, tracking and optimizing developer productivity metrics is essential for driving growth, improving efficiency, and staying ahead of the competition. This comprehensive guide will walk you through everything you need to know about DORA metrics, including how to implement them, interpret their results, and leverage git analytics platforms—like Gitrolysis—to make data-driven decisions for your engineering teams.