Editor's pick
The Faros AI infrastructure leverages a proven modern data stack: Airbyte, Hasura, Metabase, n8n, and dbt — specially customized to handle the nuances of Engineering Operations data. And unlike blackbox solutions, it is designed to grow with the growing needs of your engineering organization. Read On ...
Editor's pick
As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Read this post to learn more about how I leverage Faros AI to make my job easier.
Editor's pick
The lessons learned from the modern data stack (MDS) come in when building data pipelines to connect data from disparate tools. In this episode, Lars Kamp and Vitaly Gordon discuss about engineering productivity, DORA Metrics, Faros Open-source community edition, and more...
Editor's pick
The 2022 Accelerate State of DevOps Report by Google Cloud’s DevOps Research and Assessment team (DORA) came out just a few weeks ago and the results are honestly quite shocking (or maybe not so after all?) - let’s discuss.
Editor's pick
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".
Editor's pick
We sat down with Mustafa Furniturewala, VP of Engineering at Coursera, to talk about all things developer productivity.
Editor's pick
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. 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.
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