NEW YORK — The chief technology officer of the largest distributor of the Linux open source operating system urged developers to curb their enthusiasm about Linux’s surge in popularity in enterprise systems.
“Instead of getting serious about Linux, get serious about architecture,” said Michael Tiemann, the CTO of Red Hat during a keynote address at the LinuxWorld Expo conference here.
“It’s not about the component technology and not about the processor or the operating system. It’s about the architecture that delivers the benefits and the technology that enables the architecture,” he said, wearing the company’s logo, a red fedora hat.
Tiemann’s remarks were in response to research data from IDC that said the installed base of Linux servers will grow by 24.7 percent annually between 2001 and 2006, outpacing its proprietary rivals such as various Unix operating systems and Windows NT, for example.
In his own way, Tiemann was urging the open source faithful gathered here that more work awaits the movement to develop an architecture in which one application can reside anywhere on a system’s network.
To help illustrate some of the programming difficulties porting major applications from proprietary operating systems to a Linux based operating system, Tiemann was joined in the keynote by Jeffrey Birnbaum, managing director and global head of enterprise computing with investment bank Morgan Stanley. Red Hat was involved in an 18-month project that entailed moving Morgan Stanley’s enterprise from a proprietary Unix operating system to an open source Linux-based platform.
The job entailed 6,000 servers, 35,000 desktops, thousands of applications, all supported by about 22,000 employees, Birnbaum said, and involving four major hubs around the globe.
“In some sense, we are in an arms race in terms of technology, and that means we need to deploy more. We also needed our systems to be highly available, and able to run any application on any box at any time,” Birnbaum said.
Some of the software vendors involved were smarting from prior negative eperiences on the Linux platform, added Tiemann. In addition, the project needed the involvement of Morgan’s software vendors such as Oracle, Veritas and others, “just so we could run one application” on a Linux system, Tiemann said.
The developers had to step up the quality of their debugging platform as they ported applications over to Linux, Birnbaum said, because of strict debugging procedures in place with Morgan’s trading applications.
“We needed to understand: What is this application doing to this kernel
The project meant building in new diagnostic tools to the architecture similar to the traditional tools found in Unix platforms, Tiemann added.
These were some examples of why he urged the open source community to think not so much about Linux in and of itself, but of architecture issues.
“There’s a large ecosystem we need to continue to build,” Tiemann said. “We’ve brought new ISVs (independent software vendors) to the table. They are finding the platform to be not only reliable and scalable but also profitable.”
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.