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Top 20 Female Speakers in Software Development Events

Apiumhub

These programs may offer mentorship, networking opportunities, and support to increase visibility and confidence among women in the tech community. Outreach and Invitations: Conference organizers have been actively reaching out to female professionals in the tech industry to encourage them to submit talk proposals and participate as speakers.

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Apiumhub supports Craft Conference one more year

Apiumhub

Craft can help companies to understand how important it is to invest in the way they develop: not just into engineering but into the whole value generation process. Craft Conference is an event where any type of engineers, team leaders, agile coaches, engineering managers, executives/founders, UX/product people could learn a lot.

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AoAD2 Chapter 3: How to Be Agile

James Shore

This is a pre-release excerpt of The Art of Agile Development, Second Edition , to be published by O’Reilly in 2021. How to Be Agile. What does it mean to “be Agile?”. As we’ve seen in the previous chapters, Agile is a philosophy: a way of thinking about software development. Practicing Agile. Second Edition cover.

Agile 103
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AoAD2 Chapter 6: Invest in Change

James Shore

This is a pre-release excerpt of The Art of Agile Development, Second Edition , to be published by O’Reilly in 2021. You’ve decided that Agile will make your teams more successful. The Satir Change Model Change is disruptive, and moving to Agile is no exception. This is the pre-Agile way of working. Second Edition cover.

Agile 94
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DevOps vs Site Reliability Engineering: Concepts, Practices, and Roles

Altexsoft

In the words of Ben Treynor Sloss, Google’s VP of engineering who coined the very term SRE , “it’s what happens when you ask a software engineer to design an operation function.”. The term DevOps (short for development and operations) was coined in 2009 by Patrick Debois, Belgian IT consultant and Agile practitioner.

DevOps 96
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Why a data scientist is not a data engineer

O'Reilly Media - Ideas

To validate their findings, they contracted another data scientist with a specialty in image processing. In the two hours I spent with the team, it was clear that the algorithm could be distributed on a general-purpose compute engine, like Spark. They could have used a general-purpose compute engine and been better off.