@home with Windows Azure Webcast: Async Patterns For The Cloud
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 fifth in a series of five where we are diving into various aspects of Windows Azure. In this fifth webcast, we’ll explore various patterns for how you can build a scalable application in Windows Azure. From the abstract page:
In our fourth webcast about Windows Azure, we look more deeply at scalability in Windows Azure and how to use queues to effectively scale applications both up and out. We also take a look at the Windows Azure Auto-Scaling Application Block (WASABi) to help with autoscaling and using performance counters to monitor applications.
If you can’t make this one, be sure to check out the recordings of this one, and the rest of the series at the @home with Windows Azure website. The recordings should be available within a few days from the webcast.
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!