Containers vs virtual machines: Key differences explained
Learn how containers and virtual machines differ in architecture, performance and use cases. A practical comparison for developers getting started with Kubernetes.
5 lessons · 16 min · Beginner
Written by
Marketing Team at Civo
Written by
Marketing Team at Civo
Imagine needing to transport a car, barrels, grains, and a piano from one country to another. Each item would normally require a different mode of transport. A shipping container solves this by providing one standard box that can carry anything, on any vessel, to any destination. Software containers work the same way — they package your application together with everything it needs to run into a single portable unit that behaves the same regardless of where it is deployed.
In cloud computing, two technologies have emerged as key players in resource isolation and allocation: containers and virtual machines. Both offer unique benefits, but their functions differ significantly. This article explores their architecture, operation, and how they compare.
Introduction to containers
Containers are a form of operating system virtualization. Unlike virtual machines, which virtualize the hardware, containers virtualize the operating system. This makes them highly portable and efficient. Containers encapsulate an application along with its dependencies, allowing them to run as isolated processes on the host operating system. This architecture enables multiple containers to operate on the same machine, sharing the host OS kernel but running in separate environments.
Containers are lightweight, taking up only a few megabytes of space, and can handle more applications while requiring fewer virtual machines or operating systems. This efficiency is because containers do not install a full operating system, they share the host operating system instead.
Understanding virtual machines
Virtual machines provide an abstraction of the physical hardware, turning a single server into multiple servers. This is achieved through software known as a hypervisor, which allows the host computer to support multiple guest VMs by sharing its resources.
Each VM is a complete copy of an entire operating system, including the application, necessary binaries, and libraries. As a result, VMs can take up tens of gigabytes in size and may take longer to boot up.
Containers vs virtual machines: a comparison
While both containers and VMs provide resource isolation and allocation benefits, their use cases differ. The table below summarises the key differences:
With their portability and efficiency, containers are ideal for applications that need to be rapidly scaled and distributed. Virtual machines, with their ability to run multiple operating systems on a single server, are suited for applications that require full resource isolation and extensive OS capabilities.
In many scenarios, containers run on top of virtual machines, leveraging the strengths of both technologies.
Conclusion
Now you understand the difference between containers and virtual machines, the next step is working with containers hands-on.
Marketing Team at Civo
Civo is the Sovereign Cloud and AI platform designed to help developers and enterprises build without limits. We bridge the gap between the openness of the public cloud and the rigorous security of private environments, delivering full cloud parity across every deployment. As a team, we are dedicated to providing scalable compute, lightning-fast Kubernetes, and managed services that are ready in minutes. Through CivoStack Enterprise and our FlexCore appliance, we empower organizations to maintain total data sovereignty on their own hardware.
Our mission is to make the cloud faster, simpler, and fairer. By providing enterprise-grade NVIDIA GPUs and streamlined model management, we ensure that high-performance AI and machine learning are accessible to everyone. Built for transparency and performance, the Civo Team is here to give you total control over your infrastructure, your data, and your spend.
Share this lesson