Azure Compute Services for Scalable Cloud Applications

Azure Compute Services are designed to help you build scalable cloud applications with ease. With Azure Virtual Machines, you can deploy and manage virtual machines in the cloud, giving you the flexibility to scale up or down as needed.

Azure Virtual Machines can be scaled up to 128 vCPUs and 256 GB of RAM, making them suitable for resource-intensive applications. This scalability is especially useful for applications with fluctuating workloads.

To deploy and manage virtual machines, you can use Azure Resource Manager (ARM), which provides a single pane of glass for managing all your resources in the cloud. ARM helps you streamline your deployment and management processes, reducing complexity and increasing efficiency.

Azure Compute Services also offer a range of pre-configured virtual machine images, known as Azure Marketplace images, which can be easily deployed and customized to meet your specific needs.

Azure Compute Services offer a range of options for hosting and managing applications.

Azure App Service is a Platform as a Service (PaaS) that streamlines the deployment and management of web applications and APIs. It supports a broad spectrum of programming languages and facilitates seamless integration and continuous deployment from sources like GitHub, alongside live debugging tools.

Azure Batch is a managed service for running large-scale parallel and high-performance computing (HPC) applications. This allows users to go hassle-free and run large-scale applications efficiently with Batch.

Azure Functions is an event-driven, serverless Compute platform that helps solve complex orchestration problems. It accelerates and simplifies serverless application development.

Azure Kubernetes Services manages a hosted Kubernetes service for running containerized applications, providing a consistent management experience.

Azure App Service is a managed PaaS offering for hosting web apps, mobile app backends, RESTful APIs, or automated business processes.

It's a game-changer for developers, allowing them to streamline the deployment and management of web applications and APIs.

Azure App Service supports a broad spectrum of programming languages, making it easy to integrate and deploy applications from various sources.

This means you can seamlessly integrate your app with services like GitHub and enjoy continuous deployment.

With Azure App Service, you get live debugging tools to help you identify and fix issues quickly.

It's a reliable cloud infrastructure that boosts performance, productivity, and security, making it perfect for enterprise-ready mobile and web apps.

Whether you're building a web app or a mobile app backend, Azure App Service has got you covered.

Batch is a cloud-based service that allows you to run large-scale applications efficiently.

You can get cloud-scale job scheduling and Compute management with consistent management experience and job scheduling using Batch.

With Batch, you can run large-scale parallel and high-performance computing (HPC) applications, making it a great option for tasks that require significant processing power.

Batch is a managed service, which means you don't have to worry about the underlying infrastructure, allowing you to focus on your application.

Functions are event-driven and serverless, helping to solve complex orchestration problems.

You can develop more efficiently with Azure Functions, which is a Compute platform that accelerates and simplifies serverless application development.

This means you can focus on writing code without worrying about the underlying infrastructure, allowing you to solve complex problems with ease.

Azure Functions is designed to help you develop more efficiently, making it a great choice for building serverless applications.

Container Instances are a game-changer for developers. They allow you to deploy apps fast without managing virtual machines or learning new tools.

With Azure Container Instances, you can run containers directly on Azure without provisioning any virtual machines. This makes it the fastest and most straightforward way to run a container in Azure.

Azure Container Instance (ACI) offers a serverless computing experience that allows you to run containers without managing the underlying virtual machines. ACI is a standout for scenarios requiring a fast, isolated execution environment for containers.

ACI supports both Linux and Windows containers, giving you the flexibility to choose the best option for your project.

Kubernetes (AKS) is a game-changer for deploying containerized applications. It manages a hosted Kubernetes service for running containerized applications.

Developing apps with Kubernetes is a breeze, as it innovates, deploys, and operates seamlessly with Azure security, identity, cost management, and migration services. This means you can focus on what matters most - creating great apps.

With AKS, you can deploy containers to the cloud with simplicity and speed, just like with Container Instances. This eliminates the need to manage virtual machines or learn new tools.

AKS is designed to interoperate with Azure services, making it a great choice for those already invested in the Azure ecosystem.

You can lower your total cost of ownership (TCO) and get free, built-in security and automated management by using SQL Server on Azure VM.

To create and manage a group of load-balanced VMs, you can use VM Scale Sets. This feature allows you to increase or decrease VMs automatically in response to demand or based on schedule.

Provisioning a Virtual Machine with Managed Disks can be done from an Azure Platform Image. This needs to be the root of a Storage Account, not a Storage Container.

A Dedicated Host is a physical server that hosts one or more Virtual Machines. This provides a more controlled environment for your organization's VMs.

With a Dedicated Host, you can ensure that your VMs have exclusive access to a physical server's resources, including CPU, memory, and storage. This can be beneficial for workloads that require high performance and low latency.

You can use a Dedicated Host to host one or more Azure Virtual Machines, giving you flexibility and scalability.

The VM Image Builder is a powerful tool that simplifies the VM image building process. It's fast and easy to use, making it a great option for those who want to create custom images.

You can use the VirtualMachineStorageImageReference to specify the version of the image used to create the virtual machine. Changing this field forces a new resource to be created.

Provisioning a Custom Image requires specific fields, which are applicable when using the VirtualMachineStorageImageReference and VirtualMachineStorageImageReferenceArgs.

Moving your VMware workloads to Azure can significantly boost your productivity.

With Azure VMware Solution, you can enjoy elasticity, which means your resources can grow or shrink as needed.

Fast provisioning cycles allow you to quickly set up and deploy your virtual machines.

This can be a game-changer for businesses that need to scale up or down quickly.

By leveraging Azure VMware Solution, you can take advantage of the cloud's scalability and flexibility.

You can move your existing VMware workloads to Azure and start enjoying the benefits of the cloud.

This can save you time and money in the long run, as you won't need to worry about managing hardware or software upgrades.

You can lower your total cost of ownership (TCO) by using SQL Server on Azure VM, which also comes with free, built-in security and automated management.

VM Scale Sets allow you to create and manage a group of load-balanced VMs, which can be increased or decreased automatically in response to demand or based on schedule.

Provisioning a Virtual Machine with Managed Disks is possible from an Azure Platform Image, but it requires the image to be the root of a Storage Account, not a Storage Container.

You can specify the version of the image used to create the virtual machine by using VirtualMachineStorageImageReference, which also allows you to provision a Custom Image with applicable fields.

Moving your VMware workloads to Azure can boost your productivity with elasticity, scale, and fast provisioning cycles, thanks to the Azure VMware Solution.

When creating a Virtual Machine, you have several options for configuring the disk. You can choose from three possible values for creating the data disk: Attach, FromImage, and Empty.

The Empty option is useful if you're using an image that doesn't have data to be written to the data disk. This way, you can create the desired disk without any data.

You can also specify the type of managed disk to create, such as Standard_LRS, StandardSSD_LRS, Premium_LRS, or UltraSSD_LRS. Note that UltraSSD_LRS is currently in preview and requires additional capabilities to be enabled.

The managed disk type you choose will determine the performance and storage options for your Virtual Machine. For example, Premium_LRS allows for Write Accelerator to be enabled, which is useful for high-performance workloads.

You can also specify the ID of an existing managed disk to attach to your Virtual Machine, but you'll need to set the create_option to Attach. This is a great option if you already have a managed disk you want to use with your Virtual Machine.

When it comes to the OS disk, you can choose from three possible values: Standard_LRS, StandardSSD_LRS, or Premium_LRS. This will determine the type of managed disk that's created for your Virtual Machine's operating system.

It's worth noting that the OS disk can be deleted when the Virtual Machine is destroyed, but this setting is off by default. You can change this setting to true if you want the OS disk to be deleted automatically when the Virtual Machine is deleted.

All input properties are implicitly available as output properties. This means that any information you provide when creating a Virtual Machine can be accessed later.

The Virtual Machine resource produces additional output properties beyond just the input properties. These extra properties can be useful for monitoring and managing your Virtual Machines.

Some of the output properties include data that can be used to track the status and performance of your Virtual Machines.