What's the Difference Between Containers and Virtual Machines?
Containers and virtual machines are technologies that make your applications independent from your IT infrastructure resources. A container is a software code package containing an application’s code, its libraries, and other dependencies. Containerization makes your applications portable so that the same code can run on any device. A virtual machine is a digital copy of a physical machine. You can have multiple virtual machines with their own individual operating systems running on the same host operating system. In addition you can create a virtual machine that contains everything required to run your application.
Where are containers and virtual machines used?
Containers and virtual machines are both deployment technologies. In the software development lifecycle, deployment is the mechanism that makes an application run efficiently on a server or device. The application requires several additional software components called dependencies that are closely related to the underlying operating system of the server. All these different software layers between the application code and the physical device are called the application environment.
Challenges in software deployment
Organizations typically have to deploy applications in multiple environments—for example, developing on the Linux environment and testing on Windows—before releasing new features. Moving the application between environments can result in bugs and glitches, which lower productivity, due to missed dependencies. At the same time, building and testing the application in just one environment limits its usefulness. Here are some examples:
- You may have to develop different versions for users with different operating systems
- Your system administrators must update and maintain all environments uniformly, increasing development costs
- You may find it challenging to move your applications from on-premises data centers to the cloud or between different cloud environments
Purpose of virtual machines
Historically, virtual machine technology was developed to efficiently use increasing physical hardware capacity and processing power. Running a single application environment on a single physical server underutilized hardware resources. Virtual machines allow organizations to install multiple operating systems and create multiple environments on the same physical machine.
Purpose of containers
Containers were created to package and run applications in a predictable and repeatable way across multiple environments. Instead of recreating the environment, you packaged the application to run on all types of physical or virtual environments. This is similar to putting an astronaut in a spacesuit instead of recreating the Earth's atmosphere for them on another planet.
Similarities between containers and virtual machines
Containers and virtual machines allow for the full isolation of applications so that you can run them in multiple environments. They virtualize or abstract underlying infrastructure, so users don't have to worry about that. They also allow you to package your software infrastructure into a single file called an image file. You can use the image file to quickly set up and run your application anywhere. In addition, you can also use software processes to manage system configurations or scale to manage thousands of applications at once. However, the role and extent of use for containers and virtual machines vary depending on where and how the application is deployed.
Key differences: containers vs. virtual machines
Containers virtualize the operating system so the application can run independently on any platform. Virtual machines go beyond that to virtualize physical machines, so you can use your hardware resources efficiently. We give some more differences below.
How they work
Container technology involves building self-sufficient software packages that perform consistently, regardless of the machines they run on. Software developers create and deploy container images—files containing the necessary information to run the application. Container images are read-only and cannot be altered by the computer system.
Virtual machine technology involves installing virtualization software on a physical server or computer. The physical computer is called the host computer and the virtual machine is called the guest. You can configure and update the guest operating system and its applications as necessary without affecting the host operating system.
Virtual machines use hypervisors that communicate between the guest operating system and the host operating system. The hypervisor coordinates resource sharing, so the virtual machine runs in isolation alongside several others on the same hardware.
Containers, on the other hand, use a container engine or container runtime. This is software that acts as an intermediary agent between the containers and the operating system, providing and managing system resources that the application needs. Docker is the most popular open-source container engine.
Virtual machine image files are larger in size (several GB) as they contain their own operating system. Increased resources mean you can duplicate, split, abstract, and emulate entire servers, databases, desktops, and networks. Container files are more lightweight, and you can measure them in MB. Containers only package the resources required to run a single application.
When to use containers vs. virtual machines
Here, we give some factors to consider when choosing between virtual machines and containers for application deployment.
Virtual machines give developers more control over the application's environment. They can manually install system software, snapshot configuration states, and restore them to a previous state if required. They are useful for ideation and experimentation or for testing different environments to improve an application's performance.
Containers provide static definitions of configurations once the best ones have been selected.
Software development speed
Virtual machines are full-stack systems and can be laborious to build and regenerate. Any modifications are time-consuming to validate as you have to regenerate the environment.
Containers are a better choice if you want to build, test, and release new features frequently. As they only include high-level software, they are very fast to modify and iterate on.
Virtual machines take up more storage space and require you to provision more hardware in your on-premises data centers. Switching to cloud instances reduces costs but migrating your entire environment brings its own challenges.
Containers take up less space and are easier to scale. More importantly, containers provide granular control on application scalability by allowing you to use microservices. Microservices are an architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs. Containers let you scale individual microservices as required.
Summary of differences: container vs. virtual machine
Software code package containing an application’s code, its libraries, and other dependencies that make up the application running environment.
Digital replica of a physical machine. Partitions the physical hardware into multiple environments.
Virtualizes the operating system.
Virtualizes the underlying physical infrastructure.
Software layer above the operating system required for running the application or application component.
Operating system, all software layers above it, multiple applications.
Container engine coordinates with the underlying operating system for resources.
Hypervisor coordinates with underlying operating system or hardware.
Lighter weight (think in terms of MB).
Much larger (think in terms of GB).
Less control of the environment outside the container.
More control over the entire environment.
More flexible. You can quickly migrate between on-premises and cloud-centered environments.
Less flexible. Migration has challenges.
Highly scalable. Granular scalability possible with microservices.
Scaling can be costly. Requires switching from on-premises to cloud instances for cost-effective scale.
|Learn more about Containers
|Learn more about Virtual Machines
How can AWS help with your containers and virtual machines?
AWS has several services to support all your application deployment needs. Here are some examples:
- AWS App2Container is a containerization tool that allows software developers to modernize legacy applications. Developers use AWS App2Container to turn Java and .NET applications into containerized applications.
- Amazon Elastic Container Registry (Amazon ECR) is a highly available and secure private container repository that makes it easy to store and manage Docker container images.
- Amazon Elastic Container Service (Amazon ECS) is a highly scalable, high-performance container orchestration service to run Docker containers on the AWS Cloud.
- Amazon Elastic Compute Cloud (Amazon EC2) lets you exercise granular control over your cloud instances and choose the processors, storage, and networking you want.
- AWS Fargate is a technology for Amazon ECS that lets you run Docker containers without deploying or managing infrastructure.
- VMWare Cloud on AWS lets you simplify and accelerate the migration of mission-critical production workloads from on-premises virtual machines to the AWS Cloud.
Get started with virtualization and containerization by creating a free AWS account today.