Windows Azure Cloud Services is an awesome platform for developers to deliver applications in the cloud without needing to manage virtual machines. However, the abstraction that gives you this simplified deployment and scale, prevents you from attaching a Visual Studio Remote Debugger. Sometimes you need visibility into the execution of your production applications. What if you could replay the real production usage with the exact call sequence and variable values using the Visual Studio Debugger? What if you could collect production metrics that would help you identify performance bottlenecks and slow code? In this session, Eric Boyd will walk you through debugging and monitoring real-world Windows Azure applications. Eric will show you how to collect diagnostics like Event Logs, Perf Counters, IIS Logs, and even file-based logs from running Windows Azure compute instances. Next, Eric will also show you how to debug your production Windows Azure services using IntelliTrace's black box recording capabilities. Lastly, you will learn how to collect CLR-level diagnostics and performance metrics without instrumenting your code using tools like AppDynamics and New Relic. If you feel like Windows Azure Cloud Services are a black box when debugging issues and solving performance problems, you will leave this session feeling like Windows Azure is radically more transparent and easier to debug than the applications in your own data center.
Data mining as a technology is used to analyze data by revealing patterns. These patterns can then be used to derive knowledge about data, and in turn this knowledge can be used to enhance application designs and the user experience. In this session, you are introduced to the data mining capabilities in SQL Server 2012 Analysis Services, and demonstrations on how to specifically develop data mining models that can be embedded into your applications. This session is guaranteed to thrill you with potential, and excite you with the ease in which it can be accomplished. Be warned that this session includes numerous demonstrations that show you how to embed data mining into your application designs. The demonstrations range from simple (involving no code!) to more sophisticated examples.