Before we discuss virtualization vs containerization, let's learn what are virtual machines (VMs) and Containers.
Virtual Machines (VM)
A Virtual Machine (VM) is a virtual environment that functions as a virtual computer system with its own CPU, memory, network interface, and storage, created on a physical hardware system. A software called a hypervisor separates the machine's resources from the hardware and provisions them appropriately so they can be used by the VM.
VMs are isolated from the rest of the system, and multiple VMs can exist on a single piece of hardware, like a server. They can be moved between host servers depending on the demand or to use resources more efficiently.
What is a Hypervisor?
A Hypervisor sometimes called a Virtual Machine Monitor (VMM), isolates the operating system and resources from the virtual machines and enables the creation and management of those VMs. The hypervisor treats resources like CPU, memory, and storage as a pool of resources that can be easily reallocated between existing guests or new virtual machines.
Why use a Virtual Machine?
Server consolidation is a top reason to use VMs. Most operating system and application deployments only use a small amount of the physical resources available. By virtualizing our servers, we can place many virtual servers onto each physical server to improve hardware utilization. This keeps us from needing to purchase additional physical resources.
A VM provides an environment that is isolated from the rest of a system, so whatever is running inside a VM won't interfere with anything else running on the host hardware. Because VMs are isolated, they are a good option for testing new applications or setting up a production environment. We can also run a single-purpose VM to support a specific use case.
A container is a standard unit of software that packages up code and all its dependencies such as specific versions of runtimes and libraries so that the application runs quickly and reliably from one computing environment to another. Containers offer a logical packaging mechanism in which applications can be abstracted from the environment in which they actually run. This decoupling allows container-based applications to be deployed easily and consistently, regardless of the target environment.
Why do we need containers?
Let's discuss some advantages of using containers:
Separation of responsibility
Containerization provides a clear separation of responsibility, as developers focus on application logic and dependencies, while operations teams can focus on deployment and management.
Containers can run virtually anywhere, greatly easing development and deployment.
Containers virtualize CPU, memory, storage, and network resources at the operating system level, providing developers with a view of the OS logically isolated from other applications.
Containers allow developers to move much more quickly by avoiding concerns about dependencies and environments.
Containers are lightweight and allow us to use just the computing resources we need.
Virtualization vs Containerization
In traditional virtualization, a hypervisor virtualizes physical hardware. The result is that each virtual machine contains a guest OS, a virtual copy of the hardware that the OS requires to run, and an application and its associated libraries and dependencies.
Instead of virtualizing the underlying hardware, containers virtualize the operating system so each container contains only the application and its dependencies making them much more lightweight than VMs. Containers also share the OS kernel and use a fraction of the memory VMs require.
This article is part of my open source System Design Course available on Github.
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Table of contents
- N-tier architecture
- Message Brokers
- Message Queues
- Enterprise Service Bus (ESB)
- Monoliths and Microservices
- Event-Driven Architecture (EDA)
- Event Sourcing
- Command and Query Responsibility Segregation (CQRS)
- API Gateway
- REST, GraphQL, gRPC
- Long polling, WebSockets, Server-Sent Events (SSE)
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