Windows Azure Jump Start (11): Scalability, Caching & Elasticity, Part 1
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Building Cloud Applications with the Windows Azure Platform
This is Part 1 of a two-part section and helps learners understand how to ensure appropriate scalability, caching and elasticity into their applications using the Windows Azure Platform. Achieving linear scale, scaling up vs. scaling out, and choosing VM sizes are covered.
The Windows Azure Jump Start video series is for all architects and developers interested in designing, developing and delivering cloud-based applications leveraging the Windows Azure Platform. The overall target of this course is to help development teams make the right decisions with regard to cloud technology, the Azure environment and application lifecycle, Storage options, Diagnostics, Security and Scalability. The course is based on the Windows Azure Platform Training Course and taught by Microsoft Press authors, Manu Cohen-Yashar and David S. Platt.
As you’re enjoying the videos, you can access the content for this class, student files and links to demo code at the Windows Azure Born To Learn Forum.
Access to Windows Azure for the labs:
● Free Windows Azure Platform 30-day pass for US-based students (use promo code: MSL001)
● MSDN Subscribers: http://msdn.microsoft.com/subscriptions/ee461076.aspx
● Free access for CPLS, Partners: https://partner.microsoft.com/40118760
● Options for all others: http://www.microsoft.com/windowsazure/offers
Learn more about the Windows Azure Platform through training and certification options from Microsoft Learning.
Session 01: Windows Azure Overview
Session 02: Introduction to Compute
Session 03: Windows Azure Lifecycle, Part 1
Session 04: Windows Azure Lifecycle, Part 2
Session 05: Windows Azure Storage, Part 1
Session 06: Windows Azure Storage, Part 2
Session 07: Introduction to SQL Azure
Session 08: Windows Azure Diagnostics
Session 09: Windows Azure Security, Part 1
Session 10: Windows Azure Security, Part 2
Session 11: Scalability, Caching & Elasticity, Part 1
Session 12: Scalability, Caching & Elasticity, Part 2, and Q&A
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