Skip to content

shannonlowder.com

Menu
  • About
  • Biml Interrogator Demo
  • Latest Posts
Menu

From “All in” to “Hybrid”

Posted on July 3, 2013August 1, 2013 by slowder

For the past 3 years…up until TechEd 2013, Microsoft was “All in” when it came to the cloud. Their goal was to see all new features and services come to the Azure platform first. The idea was they were going to put everything they had into helping their customers see the cloud as the answer to many of the IT problems they face. This meant that Microsoft could shorten development schedules, adopting a more agile approach to their products. They could respond more quickly to bug reports, and feature requests. All great things in my opinion.

Over the past 3 years we’ve seen a healthy adoption rate. The most recent articles indicate that “more than 50 percent of the fortune 500 are using Windows Azure already“. And that’s not even the core market when you look at the pricing model for Windows Azure services. Microsoft has priced this thing for small and mid-market companies.

The real problem was many business people were gun-shy about the cloud. They came to the table with a lot of ideas about what the cloud was and how it would work. Some were accurate, some not so much. There is this emerging segment of the market that wants to hold on to their on-premises machines and test drive the cloud. Now, with SQL 2014, we have a much easier way of accomplishing that!

Most of our core clients don’t have the funds to spin up 3 SQL servers for High Availability. Even fewer could afford to spin those servers up in two different data centers. But now, with SQL 2014, we have additional High Availability and Disaster Recovery options! We can spin up a secondary SQL Server Virtual Machine in Windows Azure for $133 per month and if there’s a problem with their primary SQL Server on premise, the VM picks up the workload and keeps on chugging!

For our clients who need a little more power, but don’t need it all the time, we can set the Virtual Machine as the primary, Increase the number of cores and amount of memory, and let the on premise server serve as the backup. That way they can pay for the extra power as they need it, and scale up or down as needed with little down time. Notice I didn’t say zero down time. There is a small time cost to adjust your VM up or down safely.

There are some awesome new features in SQL 2014 that is going to help me help our clients move the parts of their business best suited for the cloud. They’re going to see cost savings, performance benefits, and reliability. This is why Microsoft was pushing “all in” to the cloud. I’m a firm believer that there is a place and a time for each. But with all the work Microsoft has put in, you have to review the options that are out there, and let me help you see where the cloud makes sense, and where on-premises makes sense.

I’m here to help!

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recent Posts

  • A New File Interrogator
  • Using Generative AI in Data Engineering
  • Getting started with Microsoft Fabric
  • Docker-based Spark
  • Network Infrastructure Updates

Recent Comments

  1. slowder on Data Engineering for Databricks
  2. Alex Ott on Data Engineering for Databricks

Archives

  • July 2023
  • June 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • October 2018
  • August 2018
  • May 2018
  • February 2018
  • January 2018
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • June 2017
  • March 2017
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • August 2013
  • July 2013
  • June 2013
  • February 2013
  • January 2013
  • August 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • November 2010
  • October 2010
  • September 2010
  • August 2010
  • July 2010
  • June 2010
  • May 2010
  • April 2010
  • March 2010
  • January 2010
  • December 2009
  • November 2009
  • October 2009
  • September 2009
  • August 2009
  • July 2009
  • June 2009
  • May 2009
  • April 2009
  • March 2009
  • February 2009
  • January 2009
  • December 2008
  • November 2008
  • October 2008
  • September 2008
  • August 2008
  • July 2008
  • June 2008
  • May 2008
  • April 2008
  • March 2008
  • February 2008
  • January 2008
  • November 2007
  • October 2007
  • September 2007
  • August 2007
  • July 2007
  • June 2007
  • May 2007
  • April 2007
  • March 2007
  • February 2007
  • January 2007
  • December 2006
  • November 2006
  • October 2006
  • September 2006
  • August 2006
  • July 2006
  • June 2006
  • May 2006
  • April 2006
  • March 2006
  • February 2006
  • January 2006
  • December 2005
  • November 2005
  • October 2005
  • September 2005
  • August 2005
  • July 2005
  • June 2005
  • May 2005
  • April 2005
  • March 2005
  • February 2005
  • January 2005
  • November 2004
  • September 2004
  • August 2004
  • July 2004
  • April 2004
  • March 2004
  • June 2002

Categories

  • Career Development
  • Data Engineering
  • Data Science
  • Infrastructure
  • Microsoft SQL
  • Modern Data Estate
  • Personal
  • Random Technology
  • uncategorized
© 2025 shannonlowder.com | Powered by Minimalist Blog WordPress Theme