Instead of building shiny dashboards, let’s focus on automated workflows across the entire SDLC – development, code reviews, builds, tests, and deployments.

How to measure software developer productivity without ending up with a stock-market-like dashboard tracking hundreds of metrics

We're rebuilding Google’s EngProd on the modern engineering stack to solve collaboration challenges at every stage of the development process, from code reviews to builds, testing, merging, and deployment.

Ensuring efficient, reliable, high-quality software releases is crucial in software development. This is where release engineering comes into play. This blog will explore release engineering, its importance, and how release engineers can significantly influence key DevOps Research and Assessment (DORA)…

DORA metrics won't take your team from subpar to world-class overnight, but when used correctly, they will help you steadily improve over time.

Deployment frequency and small batch sizes help improve software quality. Understand the differences between the two and find out what's the right fit for you.

The faster a dev team can make changes and release them to production, the sooner they can deliver value to customers, run experiments, and improve quality

A recent McKinsey report argues that software teams should focus their benchmarks on opportunities. An opportunity represents the possibility of effecting an improvement in product quality or the efficiency of the development process. In this article, we'll analyze this method and how it complements established frameworks like DORA and SPACE.

A calculator that provides a glimpse of the “hidden pockets” of time wasted that typically do not show up in more common engineering productivity metrics.