Visual Studio Online Application Insights solves the age-old problem of collecting enough data to enable developers to diagnose their issues but not so much as to impact production capacity. In this video, we'll focus on setting up Application Insights and Microsoft Monitoring Agent in connected scenarios. In these scenarios, Application Insights will monitor event data, analyze it for categories of issues, display (down to the specific line of code) the source of the issue, monitor memory usage for leak detection and output memory snapshots and IntelliTrace logs that can be analyzed using Visual Studio 2013.
The Microsoft product portfolio offers unprecedented flexibility for Enterprises in creating end-to-end solutions, which not only revolutionize how organizations use technology to power their business and customer interactions, but also transform the function of IT departments into an enabler of business growth, rather than being focussed on managing infrastructure. Learn how organizations are realizing “Cloud on your terms” to incorporate public, private, and hybrid cloud solutions to improve current and future ways of working, and how to plan for successful deployments and maximum adoption. In this session, we will dive into: - centralised architectures, leveraging private, public or private & public clouds; - learnings from the field include planning for centralized and Highly Available architectures; - aligning the network with usage requirements; - how customers are deploying Enterprise Voice in the cloud today
DAX is not only an expression language, but also a query language and, when it comes to performance, the xVelocity in-memory engine is second to none. Scanning fact tables and performing leaf-level computation happens in a matter of milliseconds. Nevertheless, as with any other language, you can write good DAX or bad DAX, depending on your understanding of the engine internals. This session introduces DAX as a query language, showing the different ways of querying with DAX using real-world data. Some queries will be fast, others will need optimizations. Many practical examples based on common patterns and an analysis of the query plans will show how to get the best out of DAX.