I’m excited to share the news that I am joining Faros AI to lead the global BD and Partnerships efforts.

Adding more headcount to an organization is an expensive band-aid fix that substantially increases the complexity of the system and often slows it down. Read this candid perspective to learn how software engineering teams can "do more with less".

The synergy between McKinsey’s Agile360 methodology and Faros AI’s software engineering intelligence is strong, and the benefit to our mutual clients is boundless. Read more to learn about the joint capabilities...

Since Accelerate was published in 2018, “DORA metrics” have become increasingly popular for measuring IT performance. More vendors are creating dashboards or integrating these metrics into their existing pipeline tooling. However, the context is getting lost in the race to deliver these features to customers.

The State of OSS Report - We decided to evaluate top open-source projects from GitHub on their EngOps performance, and, by treating an open-source community as an engineering organization, see how they compare to their closed source counterparts. Some interesting findings in here.

A comprehensive guide on "Deployment Frequency", one of the 4 key DORA Metrics - What it means, Why it is important, and how to measure it. Read on...

We sat down with Mustafa Furniturewala, SVP of Engineering at Coursera, to talk about all things developer productivity.

It was strikingly obvious that the engineering function in most companies my peers and I worked for, have not been able to fully leverage all the data in a unified manner. The problem - data is often scattered across disparate systems. A better data-driven approach is a must if we want to move from gut-feeling and guesswork to intelligent actions that impact real business outcomes.

Value Stream Management is a lean business practice that focuses on increasing the flow of value from customer demand to delivery. This article will provide a brief overview of value stream management, explain how value stream flow can be measured, and discuss how to get started with value stream management.

A comprehensive guide on "Change Failure Rate", one of the 4 key DORA Metrics. Read on to learn all about it and how to measure Change Failure Rate.

One of the predictive metrics for measuring your pace of software delivery is sprint velocity. Calculating this metric doesn't magically make your engineering team more productive overnight, but it does help you better plan projects and predict realistic timelines.

Lead time measures the velocity of an engineering organization in delivering software — from idea to production. Shorter lead times mean shorter turnaround times for new feature requests, incident resolutions, bug fixes etc. In this blog post, learn more about lead time and cycle time for software delivery, and how to measure them.