You have a .NET web service named Service1 that has the following requirements:
-> Must read and write temporary files to the local file system.
-> Must write to the Application event log.
You need to recommend a solution to host Service1 in Azure. The solution must meet the following requirements:
-> Minimize maintenance overhead.
-> Minimize costs.
What should you include in the recommendation?
Click on the arrows to vote for the correct answer
A. B. C. D.B
For the given scenario, the recommended solution needs to meet the following requirements:
Let's analyze each option to determine which is the best fit for the requirements.
A. Azure App Service web app: Azure App Service is a Platform-as-a-Service (PaaS) offering that allows developers to build, deploy, and scale web applications easily. App Service provides built-in support for .NET, Java, Node.js, Python, and PHP, and supports deployment through continuous integration and deployment (CI/CD) pipelines. It also provides features like auto-scaling, load balancing, and high availability.
However, App Service does not provide direct access to the local file system. Although the web app can write to the disk, it is not recommended to use the local file system to store persistent data. The application can use Azure Storage or Azure SQL Database for data storage instead.
Regarding cost, App Service has a consumption-based pricing model that charges based on the usage of resources like CPU, memory, and storage. It also offers an option for reserved instances that can provide cost savings.
B. Azure virtual machine scale set: Azure Virtual Machine Scale Sets (VMSS) is an Azure service that allows automatic scaling of a set of virtual machines. VMSS can automatically increase or decrease the number of virtual machines based on demand, and can provide load balancing and high availability. VMSS allows you to configure and manage a set of identical VMs as a single entity.
VMSS provides full control over the virtual machines, including access to the local file system. However, managing a set of virtual machines can require additional maintenance overhead compared to a PaaS solution like App Service.
Regarding cost, VMSS has a pay-as-you-go model that charges based on the usage of the virtual machines.
C. App Service Environment (ASE): App Service Environment (ASE) is a premium offering of Azure App Service that provides a fully isolated and dedicated environment for running App Service apps. ASE allows access to the local file system and provides support for custom virtual networks, load balancing, and high availability.
However, ASE is more expensive compared to the regular App Service and requires additional maintenance overhead for managing a dedicated environment.
D. Azure Functions app: Azure Functions is a serverless compute service that allows developers to run code on-demand without worrying about infrastructure management. Azure Functions can be triggered by various events, including HTTP requests, timers, and queue messages. It supports multiple programming languages, including .NET, Java, Python, and Node.js.
Functions do not provide direct access to the local file system. It is recommended to use Azure Blob Storage or Azure Table Storage for data storage.
Regarding cost, Azure Functions have a consumption-based pricing model that charges based on the execution time and memory usage of the function.
Based on the given requirements, the best recommendation would be an Azure App Service web app. It allows developers to easily deploy and manage the web service without worrying about infrastructure management. The service can use Azure Storage or Azure SQL Database for data storage instead of writing to the local file system, which is not recommended for a PaaS solution. The consumption-based pricing model of App Service can also help to minimize costs.