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Exploring continuous integration in DevOps inside out

Openxcell

The main goal of continuous integration is to reduce the risk of integration challenges that often daunts the developers at the end of a sprint or a project. Owing to these benefits, continuous integration is gaining significant momentum in the software development market. What is continuous integration?

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Continuous integration with GitOps

CircleCI

On one hand, you must quickly adapt to evolving requirements, while on the other, your applications need to operate continuously without downtime. DevOps helps you quickly adapt to changes. Among other initiatives, continuous integration (CI) and continuous delivery (CD) are intgegral to any DevOps practice.

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Hire a Kubernetes DevOps: Azure & AWS

Mobilunity

Nowadays, Kubernetes is widely used by DevOps, and more companies are in search of a certified Kubernetes application developer. This helps to streamline the development, testing, and deployment of pipelines in DevOps, so K8 is a popular solution among DevOps experts. What Can DevOps Bring to Software Development?

Azure 83
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Deploying MuleSoft Using Azure DevOps

Dzone - DevOps

Continuous Integration and Continuous Delivery (CI/CD) have become common practices in developing high-quality applications because they promote scaling and shorten the time between coding and deployment. Mulesoft is a popular integration platform that streamlines data integration across disparate systems.

Azure 52
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Build an Android Mobile Application Using Azure DevOps

Dzone - DevOps

Enter Azure DevOps, Microsoft's integrated solution that transforms the development lifecycle. This tutorial will show you how to leverage Azure DevOps for seamless Android app development. What Is Azure DevOps? In the dynamic realm of Android app development, efficiency is key.

Azure 52
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Finding the Right DevOps for CI/CD

Mobilunity

Agile continuous delivery in software development involves several methodologies to make all the processes smooth, fast, and effective. CI CD DevOps methodologies refer to Continuous Integration and Continuous Delivery. So how do DevOps CI/CD services differ, and what do they mean?

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.