For years, cloud services have been spreading like an out-of-control bushfire. From mega-corporations to the individual owners of a Chromebook, users are outsourcing their infrastructures, passing their administration and their data to third party applications on the Internet. Software companies are investing heavily in cloud services, and every indication is that they will continue to do so — at least, until the next development fad comes along.
Yet is cloud computing really making local computing obsolete? Depending on your priorities, a strong case can still be made for local computing, especially local computing with Linux and free and open source software.
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
Probably, you’ve heard the claims before:
Cloud services are all about short term convenience. Typically, cloud-based software is free, and extra storage is available at a nominal cost. Updates are free. Since the software you are using isn’t on your computers, the provider is responsible for fixing problems. Not only that, but your data is always available, regardless of what machine you are on or where you happen to be.
These points — often, in not much more detail — have been used to sell cloud services for so long that they sound banal. As the basis for promotional material, they have been reliably successful, because in typical circumstances they are true.
However, parts of this line of argument deserve to be questioned. For instance, is logging onto a cloud service really that much easier than plugging in a portable hard drive to a USB drive? Moreover, if, like those of us in the Pacific Northwest, you are starting to discover that one of the effects of climate change is winter wind storms that periodically knock out the power, then the idea of requiring an Internet connection to reach your data looks considerably less clever than it did a few years ago.
As for cost-free software, does anyone imagine that, just because software fails to appear as a line item in the accounting, it isn’t factored into the total cost? If nothing else, customers pay in conditioned vendor lock-in as they make their short-termed convenience part of their long-term business strategies and possibly overlook alternatives.
Cynics might say that the illusion of cost-free software from the cloud is a way for proprietary software to compete with open source software, which is usually free for the download.
However, that is an over-simplification. Most cloud services, such as OpenStack, are written with open source software, and owe much of their rapid growth to the fact. Under these circumstances, Richard M. Stallman’s wholesale condemnation of cloud services eight years ago no longer completely reflects the situation.
What remains true is that cloud-services use open source software differently than Stallman advocates. In cloud services, open source software empowers the providers. By contrast, free software is also envisioned as helping users take control of their computing.
However, when users subscribe to cloud services, they abdicate even the attempt to control their computing. They trust the providers to provide reliable service and privacy for their data. The problem is, they have no way to independently verify that this trust is justified, because no external body licenses the providers, and, short of an on-site inspection, users have no way to check that the promised services are provided until something goes wrong. Validating trust required remains an ongoing problem.
No doubt it is in providers’ interest to fulfill their promises as well as possible. However, the point is that verification in the cloud is next to impossible. By contrast, verification is considerably easier when a network is administered locally, and easier still when you have source code an experts than can read it. With a local Linux installation, you do not have to trust. You can investigate. If security is a priority, then a local Linux install is the obvious choice.
The disadvantage to a local Linux install is — to coin a phrase — is that with great control comes great responsibility. Almost certainly, employing full-time system administrations is more expensive than outsourcing their functions to a provider.
If you ignore the sloganeering on either side, whether you should use cloud services depends on what matters to you. If you prefer not to worry about administration and security, then cloud services are likely to appeal to you. Be aware, though, that your choice means abandoning control and trusting the provider without evidence.
At the same time, a local Linux install allows the possibility of verified security and control. But if you are not prepared to verify and control, or pay the price — largely in salaries– to so, then you may be better off with cloud-provider.
In other words, the decision comes down to convenience without control, or accepting both responsibility and its efforts and expenses.
Photo courtesy of Shutterstock.
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.