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  • Windows Azure End to End Examples

    I’m fascinated by the way people learn. I’m told there are several methods people use to understand new information, from reading to watching, from experiencing to exploring. Personally, I use multiple methods of learning when I encounter a new topic, usually starting with reading a bit about the concepts. I quickly want to put those into ...
    Posted to Buck Woody (Weblog) by BuckWoody on May 29, 2012
  • Big Data - A Microsoft Tools Approach

    (As with all of these types of posts, check the date of the latest update I’ve made here. Anything older than 6 months is probably out of date, given the speed with which we release new features into Windows and SQL Azure) I don’t normally like to discuss things in terms of tools. I find that whenever you start with a given tool (or ...
    Posted to Buck Woody (Weblog) by BuckWoody on February 20, 2012
  • Application Lifecycle Management Overview for Windows Azure

    Developing in Windows Azure is at once not that much different from what you’re familiar with in on-premises systems, and different in significant ways. Because of these differences, developers often ask about the specific process to develop and deploy a Windows Azure application - more formally called an Application Lifecycle Management, or ALM. ...
    Posted to Buck Woody (Weblog) by BuckWoody on February 7, 2012
  • Team Foundation Server (TFS) in the Cloud - My Experience So Far

    I recently joined a software development project that involves not only myself and other internal Microsoft employees, but a partner and a customer as well. We are building a hybrid solution that uses assets on premises as well as Windows Azure for processing. When we put the team together we picked a methodology (Agile) for the project (we use ...
    Posted to Buck Woody (Weblog) by BuckWoody on January 24, 2012
  • How Microsoft helps you NOT break your Windows Azure Application: Storage Services Versioning

    One of the advantages of using Windows Azure to run your code is that you don’t have to constantly manage upgrades on your platform. While that’s a big advantage indeed, it immediately brings up the question - how do the upgrades happen? Microsoft upgrades the Azure platform in periodic increments, and the components that are affected are ...
    Posted to Buck Woody (Weblog) by BuckWoody on December 6, 2011
  • The Data Scientist

    A new term - well, perhaps not that new - has come up and I’m actually very excited about it. The term is Data Scientist, and since it’s new, it’s fairly undefined. I’ll explain what I think it means, and why I’m excited about it. In general, I’ve found the term deals at its most basic with analyzing data. Of course, we all do that, and the term ...
    Posted to Buck Woody (Weblog) by BuckWoody on November 15, 2011
  • Big Data and the Cloud - More Hype or a Real Workload?

    Last week Microsoft announced several new offerings for “Big Data” - and since I’m a stickler for definitions, I wanted to make sure I understood what that really means. What is “Big Data”? What size hard drive is that? After all, my laptop has 1TB of storage - is my laptop “Big Data”? There are actually a few definitions for this term, most ...
    Posted to Buck Woody (Weblog) by BuckWoody on October 18, 2011
  • Creating a Distributed Computing System Using a Windows Azure Queue

    The Windows Azure Queue component, like all Windows Azure components (Roles, Storage, App Fabric, SQL Azure) can be used by itself or with other Windows Azure components. That’s why I refer to Windows Azure as “Distributed Computing” rather than “cloud”. Having a distributed off premise queue has a lot of use-cases. An interesting use-case is ...
    Posted to Buck Woody (Weblog) by BuckWoody on October 11, 2011
  • Rip and Replace or Extend and Embrace?

    As most of you know, I don’t like the term “cloud” very much. It isn’t defined, which means it can be anything. I prefer “distributed computing”, which is more technically accurate and describes what you’re doing in more concrete terms. So when you think about Windows and SQL Azure, you don’t have ...
    Posted to Buck Woody (Weblog) by BuckWoody on September 13, 2011
  • Plan for Diagnostics in Cloud Computing From the Git-Go

    “Git-Go” is something we say in the South that means “right at the start”. I’ve seen several applications for on-premise systems that don’t have much in the way of diagnostics - the developers rely on a debugger, the event logs on the server and client workstation, and most of all, the ability to watch the system from end-to-end. This approach ...
    Posted to Buck Woody (Weblog) by BuckWoody on September 6, 2011
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