{"id":15726,"date":"2020-08-07T11:51:19","date_gmt":"2020-08-07T11:51:19","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=15726"},"modified":"2020-08-27T09:17:14","modified_gmt":"2020-08-27T09:17:14","slug":"azure-compute-service-for-application","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/azure-compute-service-for-application\/","title":{"rendered":"Azure Compute Service for Application"},"content":{"rendered":"\n

Go back to AZ-304 Tutorials<\/a><\/p>\n\n\n\n

There are a number of ways that Azure offers for hosting application code. The term compute refers to the host model for the computing resources that your application runs on. In this tutorial, we will learn about the compute service for the application. To better understand, check the below flowchart for choosing the compute service.<\/p>\n\n\n\n

\"choosing
Image Source: Microsoft<\/figcaption><\/figure><\/div>\n\n\n\n

However, if your application consists of multiple workloads, then evaluate each workload separately. <\/p>\n\n\n\n

Lift and shift<\/strong><\/h6>\n\n\n\n

This is a strategy for migrating a workload to the cloud without redesigning the application or making code changes. However, it also means rehosting.<\/p>\n\n\n\n

Cloud optimized <\/strong><\/h6>\n\n\n\n

This is a strategy for migrating to the cloud by refactoring an application for taking advantage of cloud-native features and capabilities.<\/p>\n\n\n\n

In this tutorial, there are several tables that will help you to make these tradeoff decisions. However, on the basis of analysis, you may find that the initial candidate isn’t suitable for your particular application or workload. For this, expand your analysis to include other compute services.<\/p>\n\n\n\n

\"AZ-304<\/a><\/figure><\/div>\n\n\n\n

Understand the basic features<\/strong><\/h4>\n\n\n\n

For those who are not familiar with the Azure service selected then read the overview documentation to understand the basics of the service.<\/p>\n\n\n\n