Building applications in the cloud gives you a range of abilities to build scalable, resilient, and highly available applications. This course presents you with design patterns and systems architecture for applications in Microsoft Azure.
Building applications in the cloud gives you the ability to write highly available, highly scalable applications, and services that are resistant to failure. In this course, Microsoft Azure for .NET Developers - Cloud Patterns and Architecture, you'll learn a different architectural approach to building cloud applications, and see how various Windows Azure services and resources fit into those architectures. First, you'll explore how to use specific Azure resources to add redundancy, fail-over, and load balancing to a system. Next, you'll discover how to utilize the Azure Content Delivery Network. Finally, you'll delve into learning how to create an API gateway. By the end of the course, you'll have the patterns and architectural knowledge you need to build scalable, resilient cloud services and applications.
Scott has over 15 years of experience in commercial software
development and is a frequent speaker at national conferences,
and local user groups. Scott is a Microsoft MVP and has authored
books on several Microsoft technologies, including ASP.NET, C#,
and Windows Workflow.
Course Overview (Music) Hi, this is Microsoft MVP, Scott Allen, and this is my course on Cloud Architecture. In this course, we are going to look at building systems in Microsoft Azure. Distributed, resilient, scalable, highly available systems. I'll show you design patterns you can use when building your services and highlight features of Azure that can help you achieve your design goals. Along the way, we'll see how to perform load testing, use the Azure content delivery network, and create an API gateway. I'm assuming you've already watched my Azure: Getting Started course and are familiar with basic Azure features, because on this course, we're going to build on that foundational knowledge.
Architecture in the Cloud Hi, this is Scott, and welcome to my course on Cloud Patterns and Architecture. In this course, we will look at patterns for building scalable, resilient cloud applications, and to build the best cloud applications, we first need to understand what's available in the cloud. In this module I want to give you some advice on how to match your software solutions to the infrastructure and resources available inside of Azure. I'll show you how the various Azure services fit into the architecture of different types of systems that we might build, from applications to APIs, to the Internet of Things, and big data solutions. I'll assume you already have been through one of my Developing for Azure: Getting Started courses, which will give you all the fundamentals that you need for this course. Let's get started with a high-level overview and then we'll be ready to drill into the details.
Cloud Patterns for Resiliency Hi, this is Scott, and in this module, we're going to talk about patterns for resiliency. When we design for the cloud, we need to design our system to handle faults, because the scale and distributed nature of cloud systems means that at some time, somewhere, somehow, some thing is going to fail. That's the bad news. The good news is, with the cloud, we have more options to manage and recover from failures, both small and large. In this module, we're going to look at those options from a developer's perspective.
Cloud Patterns for Scalability Hi, this is Scott, and in this module we will look at patterns and architecture for scalability. I'll show you different techniques that you can use to make your application scalable all the way from the front end services to the back end database. We will look at topics like partitioning, sharding, caching, using content delivery networks and managing APIs, all while leveraging features in Azure that make scaling easier.
Cloud Patterns for Testing Hi, this is Scott, and in this module we look at load testing. If you want to build a resilient, scalable application in the cloud, you need load testing to understand how your system will scale, and what's interesting is how many times over the years I've seen load testing uncover problems in the design of a system, problems that just don't appear in the system unless it is under load. Let's first get an understanding of one approach to building a load test.