@home with Windows Azure Webcast: – Debugging and Troubleshooting in the Cloud - 4/5/2012 12:00pm EDT
During the first week of March 2012, my teammates Brian Hitney, Jim O’Neil, and I announced the re-launch of the @home with Windows Azure project. On March 15, we hosted a kick-off webcast providing an overview of the project.
This is the fourth in a series of five where we’ll dive into various aspects of Windows Azure. In this fourth webcast, we’ll explore how you can debug, troubleshoot, and monitor your applications in Windows Azure. From the abstract page:
In this fourth webcast episode, we talk about debugging your application. We look at debugging locally and how the emulator works for local development, and we talk about configuring diagnostic data to capture logs and performance counters. For the especially tricky troubleshooting issues, we discuss IntelliTrace, an advanced debugging tool, to gather more information about your application—essentially building a timeline of events that can be examined to quickly find the root of a problem. We also look at remote desktop options for troubleshooting.
If you can’t make this one, be sure to check out the rest in the series by watching the @home with Windows Azure website – there’s one more left in the series scheduled for next week on 4/12/2012 at the same time. You can also watch the recordings of these webcasts as they become available on the site.
What is @home with Windows Azure?
Microsoft provides a 90-day free trial of Windows Azure where you can learn to kick the tires and run an application in the cloud 24x7 cost-free. The @home with Windows Azure project is an online activity where you use those 90-days of free compute time(or your MSDN Subscriber benefits) to contribute to Stanford University’s Folding@home distributed computing project.
The Folding@home project helps scientists provide insight into the causes of diseases such as Alzheimer’s, Mad Cow disease, ALS, and some cancer-related syndromes, by running protein folding simulations on thousands of machines world wide,
You deploy Stanford’s Folding@home application to Windows Azure, where it will execute protein folding simulations in the cloud, thus contributing to the research effort. In essence, your participation is a donation of your free compute time to the Folding@home project!
Additionally, from the start of March 2012, Microsoft is donating $10 (up to a maximum of $5000) to Stanford’s Pande Lab for everyone that participates!
You can learn more about the project and sign up to view a series of web-casts we will be delivering over the next month at the project’s website:
Hope you will join Brian, Jim, and I tomorrow!