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Creating DevOps teams for the entire app lifecycle

Posted by Michael Delzer on May 31, 2019 1:18:33 PM

DevOps teams need to work together to handle the entirety of an application’s lifecycle, so creating teams that understand everything from security to networking to operations is crucial to success. In real life, finding people who already have all the knowledge necessary to fit in to a DevOps team is challenging.

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Topics: Cloud, CTO, DevOps First, DevOps Automation

Explaining infrastructure automation in plain english

Posted by Michael Delzer on Apr 25, 2019 1:27:35 PM

When software developers write about their work, it’s often so laced with jargon that other stakeholders in the business can’t understand what the piece is about or how it relates to business goals. There are two components of this problem. One is technical terms, which can be hard to get around and sometimes do require a certain level of technical understanding to grasp. The other, completely avoidable source of confusion, though, is buzz words. So let’s start by defining common ones you hear all too often.

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Topics: Cloud, CTO, DevOps First, DevOps Automation

Demystifying DevOps, an architects's perspective

Posted by Michael Delzer on Apr 7, 2019 8:49:37 AM

We all want to develop better software, faster—not just for the sake of having cool software, but because we use software to solve business opportunities and to create competitive advantages for companies. DevOps is a much-used buzzword that gets thrown around when talking about ways to deliver software more quickly—but there are misconceptions about what it is and what it is not.

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Topics: Cloud, CTO, DevOps First, DevOps Automation

A case for machine-learning infrastructure automation to keep Higher Ed competitive

Posted by John Mathon on Mar 10, 2019 6:00:00 AM

Every school’s goal is to give students an advantage in the professional world. No matter what subject they teach, university professors squeeze as much information as possible into a short semester to create intellectual value. For computer science, this is most obvious in the global race for artificial intelligence (AI) talent. According to Forbes, “The countries pushing AI forward have ready access to qualified professionals. They have also developed university programs and AI curriculum to develop more talent. When it comes to emerging technologies, intellectual capital is a huge strategic advantage.”

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Topics: AI, CTO, DevOps Automation, Machine Generated Code, Machine Learning, Higher Education

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