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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

Azure 130
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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. Because of the rising need for cloud-based technology, DevOps tools have also moved to the cloud.

Azure 82
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Cloud Computing Trends and Innovations

Apiumhub

In the past few years, cloud computing has become a common word. In fact, According to the Worldwide Semiannual Public Cloud Services Spending Guide, worldwide spending on public cloud services will grow at a 19.4% Cloud Computing Trends: What is Cloud Computing?

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4 Microsoft Azure Services for Software Development and Modernization

Datavail

In a previous blog post, we discussed a number of ways that you can modernize your legacy applications, including cloud migrations, microservices and DevOps. 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 52
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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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Deploy a serverless workload on Kubernetes using Knative and ArgoCD

CircleCI

Creating a pipeline to continuously deploy your serverless workload on a Kubernetes cluster. Containers and microservices have revolutionized the way applications are deployed on the cloud. The serverless approach to computing can be an effective way to solve this problem. Microsoft Azure account. Prerequisites.

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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). Hopefully you’ve now deployed your app in the cloud and can send some requests to it. So how does it fit in the process?