Ever since containers on Linux became popular, determining the difference between Linux containers and virtual machines has become trickier. This article will provide you with the details to understand the differences between Linux containers and virtual machines.
One of the first things to understand about containers vs virtual machines is that one is used for applications and the other is designed for entire operating systems. This is why you’ll oftentimes see some enterprise applications running in a container instead of its own virtual machine. There are some interesting advantages to using a container over a virtual machine.
One of the biggest advantages to a container is the fact you can set aside less resources per container than you might per virtual machine. Keep in mind, container are essentially for a single application while virtual machines need resources to run an entire operating system.
To make this even simpler, consider the following. If you need to run multiple instances of MySQL, NGINX, or other services, using containers makes a lot of sense. If however you need a full LAMP stack running on its own server, there is a lot to be said for running a virtual machine. A virtual machine gives you greater flexibility to choose your operating system and upgrade it as you see fit. A container by contrast, means that the container running the configured application is isolated in terms of OS upgrades from the host.
One of my favorite examples where using a container makes the most sense is with Linux library versions. For example, let’s say you have a mission critical application that requires a specific version of Python. Then you run updates on the box housing the application and suddenly, that Python version changes, rendering said application non-functional.
Another key benefit to using containers is the idea that you can take an application, put it into a container and run it on any OS that supports the container type you’re running. One example of this is when you want to have an application that runs on multiple deployments using different Linux distros. By using a container, you can run a similar application environment on a variety of different distros. Containers provide portability.
One could even make the argument that containers make more sense for speedy cross-distro deployments whereas virtual machines make sense for single application use situations like running a LAMP stack.
It’s widely accepted that virtual machines offer a bit more in terms of security when compared to containers. This isn’t to say that containers can’t be secured, rather, to suggest that by default virtual machines offer greater isolation overall. Remember, containers share system resources that virtual machines do not.
Some things you can do to minimize risk when running containers include avoiding superuser privileges, making sure the containers are obtained from trusted sources and of course, kept up to date. Thankfully, some containers are digitally signed which helps to determine that you’re getting a container from a trusted source.
Lastly, you need to keep a container to single function duty. Once you start combining software duties under one container, you’ll find you’re better off using a virtual machine instead. To reiterate, containers are for single purpose applications and virtual machines are for multiple purpose applications. Stick to this methodology and you’ll be in a far better situation with both security and overall functionality.
Regardless of the virtual machine or container type, the key to choosing the right one for your needs comes down to researching the abilities of each option. In the container realm, Docker offers a strong enterprise solution. This appeals to companies looking at Docker containers because companies know that they can get the support they need if anything comes up. Docker is also considered to be an enterprise consumer friendly option, especially in Docker Swarms. Comparing Docker Swarms to Kubernetes, it’s widely accepted that Kubernetes is far more complex to set up in advanced environments.
Back on the virtual machine front, I’ve always found that Virtualbox makes for a greater desktop oriented virtual machine environment whereas VMware does a splendid job on the server side of things with their various offerings. VMware has virtual machine solutions ranging from storage to cloud server solutions. There are other options available (various hypervisors, etc), however I think that VirtualBox and VMware represent the two realms of desktop to server virtualization nicely.
Before trying to decide between a container or a virtual machine, consider the following. You can run containers on VMs should you choose to. Understanding this is important as there are no clear winners or losers here. In fact, the two technologies serve completely different needs.
Containers will continue to see the bulk of the spotlight in the press as they allow their users to run more efficiently with less hardware. On the flip side of things, virtual machines remain a staple in the server and cloud space. Suffice it to say, virtualization isn’t going anywhere and is just as hot as containers.
The one area that I think is worth watching is seeing how things play out between Kubernetes and Docker Swarms. I think it’ll be interesting to see how these two container management technologies playout and which one of these technologies becomes the standard. For awhile, it felt like it would be Docker. These days however, we’re seeing a lot more from the Kubernetes camp. It’s entirely possible that over time we will begin to see Kubernetes grabbing headlines and becoming the top player in the container camp.
What say you? Do you believe that containers are on track to outpace virtual machines? Perhaps instead you believe a combination of the two technologies are where things are headed? Whatever the case may be, hit the comments and let’s hear your view. Are you running a Plex container at home while utilizing the power of a full virtualized environment at work? I’d love to hear about your experiences with these technologies.
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.