Martin Heller
Contributing Writer

Orcas CTP: I Probably Should Have Waited

analysis
Jan 31, 20072 mins

After buying and installing another gigabyte of RAM for my Windows development box, downloading about 6 gigabytes of compressed virtual PC images, and putting my computer to work for several hours decompressing and assembling the images, I finally have a working copy of the Microsoft Visual Studio Code Name "Orcas" January 2007 CTP as a virtual PC. It does work. It doesn't mess up my Visual Studio 2005 inst

After buying and installing another gigabyte of RAM for my Windows development box, downloading about 6 gigabytes of compressed virtual PC images, and putting my computer to work for several hours decompressing and assembling the images, I finally have a working copy of the Microsoft Visual Studio Code Name “Orcas” January 2007 CTP as a virtual PC.

It does work. It doesn’t mess up my Visual Studio 2005 installation. On the whole, running this drop as a VPC is a better idea than applying the preview bits to a production system.

It probably wasn’t worth the effort this time around, however. I probably should have gone with my initial instinct and waited for the February CTP drop, which as I understand it is scheduled to have full LINQ support, a design surface for Windows Presentation Foundation, the new Web design surface that Scott Guthrie blogged about here, y mucho mas.

OrcasCTPinVPC_thumb.png
It probably wasn’t worth the effort this time around, however. I probably should have gone with my initial instinct and waited for the February CTP drop, which as I understand it is scheduled to have full LINQ support, a design surface for Windows Presentation Foundation, the new Web design surface that Scott Guthrie blogged about here , y mucho mas.

On the other hand, setting this up was a learning experience. I now know that the Virtual PC 2007 beta works just fine with the January “Orcas” image. I also know that the image was built for 384 MB of RAM to be available to the Windows Server 2003 system it contains. Adding in the RAM needed for video in the image and for Virtual PC to run comes out to a need for less than 512 MB of available RAM in the host computer, not the 1 GB that was documented. My Task Manager readout confirms that: with the VPC image running, I have over 1 GB of available RAM remaining to the host system.

In other words, I could have skipped buying the extra GB of RAM. On the other hand, it doesn’t hurt to have it, and I might actually be happy that I do at some future date.

Another interesting conclusion: since the January “Orcas” image works with the Virtual PC 2007 beta, and the Virtual PC 2007 beta runs under Windows Vista, it should actually be possible to run the “Orcas” Virtual PC images under Windows Vista, even though this is not supported by Microsoft.

Martin Heller

Martin Heller is a contributing writer at InfoWorld. Formerly a web and Windows programming consultant, he developed databases, software, and websites from his office in Andover, Massachusetts, from 1986 to 2010. From 2010 to August of 2012, Martin was vice president of technology and education at Alpha Software. From March 2013 to January 2014, he was chairman of Tubifi, maker of a cloud-based video editor, having previously served as CEO.

Martin is the author or co-author of nearly a dozen PC software packages and half a dozen Web applications. He is also the author of several books on Windows programming. As a consultant, Martin has worked with companies of all sizes to design, develop, improve, and/or debug Windows, web, and database applications, and has performed strategic business consulting for high-tech corporations ranging from tiny to Fortune 100 and from local to multinational.

Martin’s specialties include programming languages C++, Python, C#, JavaScript, and SQL, and databases PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, Google Cloud Spanner, CockroachDB, MongoDB, Cassandra, and Couchbase. He writes about software development, data management, analytics, AI, and machine learning, contributing technology analyses, explainers, how-to articles, and hands-on reviews of software development tools, data platforms, AI models, machine learning libraries, and much more.

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