As you approach Azure for the first time, it can be very confusing as to which Azure compute option you should be utilizing. In this course, Planning and Designing Microsoft Azure Compute Solutions, you will learn to choose the right compute option for your environment to eliminate longer development time, alleviate greater cost, and cut down on substantial maintenance. First, you will delve into the core compute options in Azure. Next, you will dive into the relative strengths and weaknesses of each option. Finally, you will walk through architectures using the various compute options. By the end of this course, you will be able to architect a solution in Azure choosing the right compute options to meet your requirements.
John Savill is an 11-time MVP, and he holds many Microsoft certifications
including Azure Infrastructure and Azure Architecture specialist. John is
the author of the popular FAQ for Windows and a senior contributing editor
to Windows IT Pro. John has written eight books on Microsoft technologies
including Mastering Microsoft Azure Infrastructure Services and Mastering
Windows Server 2016 Hyper-V.
Course Overview Hi everyone, my name is John Savill and welcome to my course Planning and Designing Microsoft Azure Compute Solutions. I'm a principal technical architect at the Dallas Microsoft Technology Center. And Azure has a staggering number of compute solutions available. And knowing about the options, knowing how to pick the right one is critical for your Azure success. In this course, we're going to look at the key Azure compute options and their relative strengths, and their weaknesses. By the end of this course, you'll know how to architect a compute solution in Azure with the confidence to know you've picked the best compute option, or options, available based on your project's requirements.
Selecting a Compute Model In this module, we will look at selecting a Compute Model. As an overview, we'll look at the key types of compute service that are available and then, how do I actually choose the right compute service based on the various pros and cons of each service type.
Designing Compute Solutions for IaaS Welcome to the Designing Compute Solutions for Infrastructure as a Service. Now my goal for this module, is to really drill into more detail around the infrastructure as a service type solutions but then what are some of the key considerations you need to think about when you leverage this service? I'm going to five into the types of IaaS VM, the difference between stopped and deallocated, and how that impacts pricing and it's a big one. Availability and back up. And then finishing off with Virtual Machine scale sets. Underneath it's still IaaS VMs but there is some automation around the bulk creation of identical Virtual Machines.
Designing Compute Solutions for Containers Welcome to the Designing Compute Solutions for Containers and my goal for this module is to really walk through an overview of what are containers, what is Docker, considerations for actually using containers, utilizing the Azure Container Service and how we can think about actually migrating to containers.
Designing Compute Solutions for PaaS Welcome to the Designing Compute Solutions for Platform as a Service module. And this is going to seem the most foreign. Virtual machines we get. It's an OS running in a virtual machine that is just in the cloud. Containers is a slightly different type of virtualization but it still makes sense to us. Fundamentally, we're really still dealing with virtual machines, there's just some extra layers. Platform as a Service is different. We're not going to see virtual machines here. I want to dive into the Azure App Service and serverless compute options. How Platform as a Service differs from Infrastructure as a Service. What are the types of app service? How I architect with App Services. And then actually utilizing the serverless compute options.
Azure Service Architecture Case Study Review Welcome to the Azure Service Architecture Case Study Review module. Really, my only goal for this module is to review a few case studies: the walkthrough, well, what were our compute options, and why did we pick a particular compute option based on the various requirements?