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Mastering Azure management: A comparative analysis of leading cloud platforms

CIO

Azures growing adoption among companies leveraging cloud platforms highlights the increasing need for effective cloud resource management. Given the complexities of these tasks, a range of platforms has emerged to assist businesses simplify Azure management by addressing common challenges.

Azure 78
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All you need to know about Azure DevOps!

Cloud That

What is Azure DevOps? Core Azure DevOps Services. Microsoft Azure DevOps Server. Pricing for Azure DevOps. Azure DevOps: Sign up. Azure DevOps Services. Azure provides cloud-based DevOps services. In this blog, we will look at Azure DevOps, a Microsoft cloud-based DevOps solution.? .

Azure 82
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Free Courses at Linux Academy — October 2019

Linux Academy

Google Cloud Functions is a serverless, event-driven, managed platform for building and connecting cloud services. Serverless Concepts – Serverless has been gaining momentum as cloud technology continues to become more and more widespread. Kubernetes Essentials. Kubernetes is a powerful tool. AWS Concepts.

Linux 22
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4 Microsoft Azure Services for Software Development and Modernization

Datavail

Below, we’ll go into more detail about the Microsoft Azure cloud, including some of the most important Azure features and services for developing and modernizing applications. Azure Machine Learning. Azure Machine Learning simplifies the process of building, training, and deploying production-ready machine learning models.

Azure 52
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Azure Kubernetes Service (AKS) – Simplifying Deployment with Stateful Applications

RapidValue

Instead of creating resources in cloud, you are now able to create resources and infrastructure inside Azure Kubernetes cluster through deployments and services manifest files. Azure Kubernetes Service or AKS enables you to do that. Azure handles all the critical tasks which include health monitoring and maintenance.

Azure 12
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Serverless vs containers: Which is best for your application?

CircleCI

Two of the most widely-used technologies to host these deployments are serverless functions and containers. In this comparison, we will look at some important differentiators between serverless computing and containers and outline some criteria you can use to decide which to use for your next project. What is serverless?

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Demystifying MLOps: From Notebook to ML Application

Xebia

Most enterprise ML platforms (Vertex AI, Azure ML, Sagemaker) integrate with MLflow. Therefore, we will deploy our solution to one of the cloud providers ( Azure , GCP , AWS , or others). Continuous integration and continuous deployment (CI/CD) We already went from a local notebook to a container to cloud.