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Understanding the Role of DevOps in Digital Engineering

OTS Solutions

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.

DevOps 130
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Understanding the Role of DevOps in Digital Engineering

OTS Solutions

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.

DevOps 130
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Microsoft Gains DevOps Momentum

DevOps.com

Microsoft, at its recent Microsoft Build 2019 conference, launched a series of efforts intended to make it easier for organizations to embrace best DevOps practices, including making it possible to address both continuous integration and continuous delivery within the same YAML file using Azure Pipelines.

DevOps 108
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How DevOps is Revolutionizing Embedded Development

DevOps.com

They’re beginning to implement DevOps practices in their embedded development. The post How DevOps is Revolutionizing Embedded Development appeared first on DevOps.com. From home offices to cubes to labs, in lamp-lit rooms late at night and sun-lit rooms early in the morning, developers are doing something different.

DevOps 115
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5 ways QA can help you accelerate and improve your DevOps CI/CD cycle

Trigent

A reliable high-frequency deployment can be implemented by automating the testing and delivery process. Over 62% of enterprises use CI/CD (continuous integration/continuous delivery) pipelines to automate their software delivery process. The importance of an optimal QA DevOps strategy.

DevOps 98
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps. MLOps vs DevOps.

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JFrog Acquires Upswift to Push DevOps to the Edge

DevOps.com

JFrog today revealed it has acquired Upswift as part of an effort to extend its DevOps reach to edge computing platforms. Upswift has created agent software that is deployed as a binary file on an edge computing platform that makes it possible to continuously deliver software across a […].

DevOps 114