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Azure Containers Explained

Azure Containers Explained

By : Wesley Haakman , Richard Hooper
5 (1)
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Azure Containers Explained

Azure Containers Explained

5 (1)
By: Wesley Haakman , Richard Hooper

Overview of this book

Whether you’re working with a start-up or an enterprise, making decisions related to using different container technologies on Azure has a notable impact your app migration and modernization strategies. This is where companies face challenges, while choosing the right solutions and deciding when to move on to the next technology. Azure Containers Explained helps you make the right architectural choices for your solutions and get well-versed with the migration path to other platforms using practical examples. You’ll begin with a recap of containers as technology and where you can store them within Azure. Next, you’ll explore the different Microsoft Azure container technologies and understand how each platform, namely Azure Container Apps, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Functions, and Azure App Services, work – you’ll learn to implement them by grasping their respective characteristics and use cases. Finally, you’ll build upon your own container solution on Azure using best practices from real-world examples and successfully transform your business from a start-up to a full-fledged enterprise. By the end of this book, you’ll be able to effectively cater to your business and application needs by selecting and modernizing your apps using various Microsoft Azure container services.
Table of Contents (22 chapters)
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1
Part 1: Understanding Azure Container Technologies
8
Part 2: Choosing and Applying the Right Technology
14
Part 3: Migrating Between Technologies and Beyond

Automatic scaling

Hopefully, we have allocated the correct capacity to our AKS cluster to make sure daily operations run smoothly. However, customer demand can change and if our business is running well, we are also adding customers. Ideally, we automatically allocate resources to our cluster once these demands change.

Before we can enable technologies that allow for automatic scaling, it is imperative that we understand how much capacity is needed to initially run our resources. For example, if we are unaware of how much we actually need, we may be presented with an invoice at the end of the month that we didn’t expect. In order to prevent that, we can set limitations to our autoscaling, but that also means that at some point, the environment will no longer scale and it will impact the customer experience. The more we know about the behavior and capacity requirements of our solution, the better we can configure autoscaling.

When we talk about scaling, we are mainly talking...

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