Video: Teach Windows Azure to Scale Your Way

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Microsoft's Windows Azure Cloud services can scale out your hosted applications as load increases, but what if you need to take control of that process?  In this video excerpt from Zoiner Tejada's new course Elastic Scaling on Windows Azure you'll see how to create your own DataCollection process and hook that up to the scaling rules for your Azure deployment.  In the full course Zoiner covers scaling versus throttling, reactive autoscaling rules, and creating custom rule operands.


[youtube http://www.youtube.com/watch?v=sUdexhxSA4Y?feature=player_detailpage]




Zoiner Tejada is the president and chief problem solver at TejadaNET, providing strategic guidance to enterprises and startups leveraging cutting edge cloud technologies from Microsoft. He is passionate about leveraging cloud technologies and Windows Azure services to build web based solutions that run at scale. He is a Windows Azure MVP, an advisor to Microsoft, and enjoys engaging the greater community by speaking at conferences and user group meetings, teaching at UCSD, as well as via his recently published book Programming Microsoft's Clouds (Wrox). He has a degree in computer science from Stanford University.

You can watch the full HD version of this video along with the other 1 hr 36 min of video found in this professional course by subscribing to Pluralsight. Visit Elastic Scaling on Windows Azure to view the full course outline. Pluralsight subscribers also benefit from cool features like mobile appsfull library searchprogress trackingexercise files,assessments, and offline viewing. Happy learning!

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Contributor

Paul Ballard

Paul Ballard is a Chief Architect specializing in large scale distributed system development and enterprise software processes. Paul has more than twenty years of development experience including being a former Microsoft MVP, a speaker at technical conferences such as Microsoft Tech-Ed and VSLive, and a published author. Prior to working on the Windows platform, he built software using a vast array of technologies including Java, Unix, C, and even OS/2.