Sun Microsystems has introduced a new virtualization service that enables software vendors’ Solaris-based applications run in an on-demand environment without having to rewrite their code. Solaris On Demand converts installed applications into software-as-a-service (SaaS) application. Through its use of virtualization, it enables the software to add “multitenancy,” or support for simultaneous users, without messy code […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Sun Microsystems has introduced a new virtualization service that enables software vendors’ Solaris-based applications run in an on-demand environment without having to rewrite their code.
Solaris On Demand converts installed applications into software-as-a-service (SaaS) application. Through its use of virtualization, it enables the software to add “multitenancy,” or support for simultaneous users, without messy code changes. Additionally, Sun or one of its regional partners hosts the application.
Through the program, software vendors could quickly begin offering two versions of their software, an on-premises version and an on-demand version, both coming from one code base.
“People see the demand for on-demand but they are stuck with a year or more of development time without actually knowing if there’s a market there for their product,” said Vince Vasquez, business development manager for SaaS programs at Sun (NASDAQ: JAVA). “With virtualization, they can get into that market right now.”
The service supports applications hosted on a Sun server using Solaris, Solaris’ Containers virtualization technology and xVM, Sun’s virtualization software.
To sweeten the deal, Sun is offering 90-day free trial to all customers to ensure their applications work in such an environment. The ISV will have access to hosting, hardware, managed services and backup, with a 99.5 percent guaranteed uptime from Sun or one of its partners, which include AT&T’s Usi Communications, NTT Europe for the European countries and NaviSite for both regions.
Vasquez told InternetNews.com that a pilot customer, sales performance and management software vendor Callidus, has been successfully using their applications in a SaaS (define) environment for nearly two years.
Turning the company’s three main products — its compensation calculation engine, reporting engine and analytics/business integration tool — into on-demand offerings initially seemed a daunting task, Jeff Saling, senior vice president of on-demand services at Callidus, told InternetNews.com. The answer was to virtualize the existing working system.
“We do some of the most complicated commissioning and sales performance management for some of the biggest companies,” Saling said. “You’re not talking about something that will take a few months to rearchitect. You’re talking a dozen or more engineers [and] many, many months of design and testing to rearchitect an app like that.”
Using Solaris On Demand, the company now runs BEA Systems app servers and an Oracle database with 44,000 subscribers, fully virtualized, without any changes to its code base.
“You’re talking about people’s paychecks,” Saling said of the service, which calculates performance and payouts for some 1.8 million salespeople. “You don’t want to take a risk at doing it wrong.”
This article was first published on InternetNews.com.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
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
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
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
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
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 2021
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
SEE ALL
APPLICATIONS ARTICLES