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Scalability Challenges in Microservices Architecture: A DevOps Perspective

Unite.AI

DevOps methodologies, particularly automation, continuous integration/continuous delivery (CI/CD), and container orchestration, can enhance the scalability of microservices by enabling quick, efficient, and reliable scaling operations. How can DevOps practices support scalability? What’s next for microservices and DevOps?

DevOps 294
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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

As emerging DevOps trends redefine software development, companies leverage advanced capabilities to speed up their AI adoption. That’s why, you need to embrace the dynamic duo of AI and DevOps to stay competitive and stay relevant. How does DevOps expedite AI? How will DevOps culture boost AI performance?

DevOps 310
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How to Use DevOps Azure to Create CI and CD Pipelines?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. The post How to Use DevOps Azure to Create CI and CD Pipelines? appeared first on Analytics Vidhya.

DevOps 387
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How Can a DevOps Team Take Advantage of Artificial Intelligence?

Analytics Vidhya

DevOps and artificial intelligence are covalently linked, with the latter being driven by business needs and enabling high-quality software, while the former improves system functionality as a whole. The DevOps team can use artificial intelligence in testing, developing, monitoring, enhancing, and releasing the system.

DevOps 276
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Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? Learn the 5 elements of a DevOps-friendly embedded analytics solution. If not, any update to the analytics could increase deployment complexity and become difficult to maintain.

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How is MLOps Different from DevOps?

Analytics Vidhya

Introduction DevOps practices include continuous integration and deployment, which are CI/CD. MLOps talks about CI/CD and ongoing training, which is why DevOps practices aren’t enough to produce machine learning applications. The post How is MLOps Different from DevOps? appeared first on Analytics Vidhya.

DevOps 227
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MLOps vs DevOps: Let’s Understand the Differences?

Analytics Vidhya

Introduction In this article, we will be going through two concepts MLOps and DevOps. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences? We will first try to get through their basics and then we will explore the differences between them.

DevOps 265