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Team Topologies: Organizing Business and Technology Teams - Part 2

Dzone - DevOps

Today, we premiere the second and final episode in our two-part series with DevOps experts Matthew Skelton and Manuel Pais, authors of the new book Team Topologies: Organizing Business and Technology Teams for Fast Flow. If you haven't listened to the first episode, I highly recommend checking it out.

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Overview of Incident Lifecycle in SRE

Dzone - DevOps

Along similar lines, every incident in system infrastructure helps product development & engineering teams understand better about the capabilities of system architecture. This can further help organizations in building a sustainable and reliable product.

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GSAS 2023: The Third Edition

Apiumhub

Every day, Adevinta empowers millions of individuals to make sustainable choices and fight the war on waste. Apiumhub offers services on web and mobile development, software architecture, DevOps, and QA testing. Its technology and teams connect buyers and sellers, helping people find jobs, homes, cars, consumer goods, and more.

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Software outsourcing: interesting statistics, predictions, facts, and key players

Apiumhub

Also, Christian Ciceri, Apiumhub’s co-founder and software architect, has published a book, “Software Architecture Metrics” , which he co-authored together with Neal Ford, Eoion Woods, Andrew Harmel-Law, Dave Farley, Carola Lilienthal, Michael Keeling, Alexander von Zitzewitz, Joao Rosa, and Rene Weiß.

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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

Carola Lilienthal – Author of the book “Sustainable Software Architecture” Dr. Carola Lilienthal is senior software architect and managing director at WPS (Workplace Solutions) and loves to design well-structured, long-lived software systems. Andrew Harmel-Law – Tech principal at Thoughtworks.

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Grown-Up Lean

LeanEssays

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.