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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? It involves the integration of software, hardware, and data to drive innovation, improve efficiency, and enhance customer experience.

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? It involves the integration of software, hardware, and data to drive innovation, improve efficiency, and enhance customer experience.

DevOps 130
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Intelligent quality engineering (QE) in continuous integration and delivery

Trigent

With digital adoption being on an accelerated path than ever before, faster launch to the market and continuous delivery have become a prerequisite for competitive differentiation. Intelligent prioritization for continuous integration and continuous delivery with QE. Predictive test selection.

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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 109
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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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Four short links: 8 July 2019

O'Reilly Media - Ideas

Algorithmic Governance, DevOps Assessment, Retro Language, and Open Source Satellite. Algorithmic Governance and Political Legitimacy (American Affairs Journal) -- Mechanized judgment resembles liberal proceduralism. It relies on our habit of deference to rules, and our suspicion of visible, personified authority.