Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
Cloud computing gets a lot of buzz, yet still faces resistance from data center traditionalists. A new free service claims to specify the cost savings from moving to the cloud.
Cloud computing is a topic getting a lot of play in IT circles thanks to the success of companies like Amazon, Salesforce and Google, and with venerable IT firms like IBM and Microsoft jumping on the bandwagon.
But for all the customer wins these players can legitimately claim, the traditional data center model of IT infrastructure managed on company premises still has plenty of loyalists, thanks in part to security concerns and other issues such as developing an effective migration plan.
Astadia, a cloud computing system integrator, thinks it can take a lot of the pain out that enterprise shops might fear is involved with a move to the cloud. Thursday, Astadia launched its IT Cloud Transformation (ITX) ROI Calculator, a free service the company said helps assess current infrastructure resources and savings to be realized by moving to the cloud.
“We put some investment into taking what we’ve learned from years of working with on-premise and cloud computing systems to develop a set of metrics users can adjust a bit to reflect their particular situation,” Astadia CTO Mike Lingo told InternetNews.com.
The ITX ROI Calculator compares a company’s current expenses on infrastructure to what cloud services, using Saleseforce’s platform, would cost. “Generally speaking, the Salesforce platform is the most mature, so that’s what we use for the calculator but you can expect similar savings from other cloud providers,” he said.
Read the rest at ServerWatch.
RELATED NEWS AND ANALYSIS
-
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 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