Entity Framework is Microsoft's recommended data access technology for new applications in .NET. We'll explore how the current release of Entity Framework can be used to build applications. We'll also look at an early preview of EF7, a modern, lighter weight, and composable version of Entity Framework (EF) that can be used on a variety of platforms, including ASP.NET vNext, Windows Phone and Windows Store. This new version will also support targeting non-relational data stores.
Learn how to leverage Windows PowerShell Desired State Configuration to operationalize “DevOps” capabilities on Azure. We start with the basics of PowerShell DSC working through the basic architecture, example uses and preventing “configuration drift.” We review DevOps principles and then apply those principles using PowerShell DSC over Azure to enable continuous deployment.
When designing cloud applications, you should take into account the fact that a failure or malfunction of any component of the system is possible. This template is called Designing for Failure. This design approach helps minimize the negative consequences of failure of any component of the internal or external system. Sometimes, it is not so simple to use the Designing for Failure template, but the Azure platform greatly facilitates this task due to the fact that some of the functions are implemented by cloud services—Azure Web Sites, Traffic Manager, CDN, RA—Geo Redundant Storage. During this session, we shall talk about how to use the functionality provided by Azure to ensure the accessibility of a website, even in the event of failure of one of the regions of the platform.
You've migrated parts of your application to in-memory. But now you are not seeing a serious performance improvement, or maybe even a performance degradation! What's going on? In this session we walk you through several performance problems we have seen with customers, and show how to diagnose and resolve the issues to ultimately obtain the performance improvement you're looking for from in-memory OLTP. We address a variety of issues, including log IO bottlenecks, index tuning, and query plan problems.