Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SaaS economics
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > SaaS economics
Business IntelligenceData MiningData WarehousingPredictive Analytics

SaaS economics

TheodoreOmtzigt
TheodoreOmtzigt
3 Min Read
SHARE

While researching the offerings of rPath, I came across Billy Marshall’s blog . Among many of the tidbits of insight, two jumped out of me.

Complex server applications have typically so many configuration hooks that application deployment is not easily automated. This implies that bringing up and shutting down applications is not the same as what we are used to on the desktop. Applications become tightly coupled to physical host configuration, in…


While researching the offerings of rPath, I came across Billy Marshall’s blog . Among many of the tidbits of insight, two jumped out of me.

Complex server applications have typically so many configuration hooks that application deployment is not easily automated. This implies that bringing up and shutting down applications is not the same as what we are used to on the desktop. Applications become tightly coupled to physical host configuration, internal IT processes, and the prowess of the admin. Billy blames this on OSFAGPOS, or On Size Fits All General Purpose Operating Systems. OSFAGPOS is deployed in unison with the physical host because the OS integrates drivers that enable access to the physical hosts’s hardware resources. A RAID or network stack can be configured to improve performance for specific application attributes, and it is this separation of roles that creates the root of all evil. rPath’s vision is JeOS (read “juice”), or Just Enough OS that packs all the meta data needed for the release engineering process to do the configuration automatically. This would make application startup fast, cheap, and reliable.

More Read

The Newest Market Research Trade Organization
But for scientists, tracking birds as they perform those feats…
Am I Being Too Optimistic About How Companies Will Use Social Media Data?
5 Considerations to Make Before Choosing a Web Hosting Company
The 6 Worst Market Research Mistakes #MRX

Here is an economic reason why new SaaS providers will siphon off a portion of the software universe. A typical ISV spends between 25 and 40% of its engineering and customer support expense on peripheral functionality such as installers, cross-platform portability, and system configuration. Since a SaaS provider solves these issues through a different business model it frees up a significant portion of the development budget to work on core application features.

In my mind, the cross platform aspect is not as clear cut as Billy makes it appear. Whereas for an ISV the economic lock-in limits the TAM for its application, for an SaaS provider it can cut both ways. If the SaaS provider caters to customer for which high availability is important selecting gear from IBM or Sun might create a competitive advantage AND credibility. But if the SaaS provider caters to customers for which cost is most important, selecting gear from Microsoft/Intel/AMD might be the better choice. The hardware platforms have different cost structures and if a SaaS provider wants to straddle both customer groups they still need some form of cross-platform portability.
<–URL–>

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

CISPA Passes in the House, 3D Modelling of DoD Networks, and More

1 Min Read

Successful Business Intelligence Projects: The Role of Managers and Leaders

3 Min Read

The Blame Game

6 Min Read
big data tools
AnalyticsBest PracticesBig DataBusiness IntelligenceDecision Management

With Big Data, Smaller Can Be Better: Find the “Gems”

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?