DevOps

Virtual Machine (VM)

What is a Virtual Machine (VM)?

A Virtual Machine (VM) is an emulation of a computer system. Virtual machines are based on computer architectures and provide functionality of a physical computer. They are implemented by software emulation or hardware virtualization. VMs allow multiple operating system environments to coexist on the same physical hardware, isolated from each other.

The term 'Virtual Machine' (VM) is a fundamental concept within the field of DevOps and wider Information Technology. A VM is a software emulation of a physical computer system, running an operating system and applications just like a physical computer. It provides the functionality of a physical computer but in a virtualized environment, which can be managed and manipulated with software.

VMs are a cornerstone of modern computing, enabling users to run multiple, isolated systems on a single physical machine. This has profound implications for efficiency, cost, and flexibility, particularly in the context of DevOps. This article will delve into the intricacies of VMs, their history, use cases, and specific examples within the DevOps sphere.

Definition of a Virtual Machine

A Virtual Machine (VM) is a software-based representation of a physical computer. It includes a virtual processor (or processors), memory, storage, and other hardware components. A VM also includes an operating system, which can be the same or different from the host machine's operating system.

VMs are created and managed by software known as a hypervisor. The hypervisor sits between the physical hardware and the VMs, allocating physical resources such as CPU cycles, memory, and storage to each VM as needed. Each VM is isolated from the others, meaning that processes running on one VM cannot directly access or affect processes running on another.

Types of Virtual Machines

There are two main types of VMs: System VMs and Process VMs. System VMs provide a complete system platform that supports the execution of a complete operating system. These are the types of VMs most commonly associated with the term 'Virtual Machine'.

On the other hand, Process VMs are designed to run a single process and support a single, high-level application. They are created when the process starts and are destroyed when the process ends. The Java Virtual Machine (JVM) is a well-known example of a process VM.

History of Virtual Machines

The concept of virtual machines dates back to the 1960s, with the development of the IBM CP-40 and the CP/CMS operating system. The idea was to make more efficient use of expensive mainframe hardware by allowing multiple users to share the same system, without interfering with each other.

However, it wasn't until the late 1990s and early 2000s that VMs became mainstream, thanks to the advent of affordable, high-performance server hardware and the development of modern hypervisors. Today, VMs are a common feature in data centers around the world, and are a key component of cloud computing platforms.

Modern Developments

Modern VM technology has come a long way since its mainframe roots. Today's hypervisors can support dozens or even hundreds of VMs on a single physical host, with each VM capable of running a different operating system and different applications.

Furthermore, modern VMs can be easily created, cloned, migrated, and deleted, providing unparalleled flexibility and agility. This has made VMs an essential tool in the DevOps toolbox, enabling rapid deployment, testing, and scaling of applications.

Virtual Machines in DevOps

In the context of DevOps, VMs are used to create consistent, reproducible, and isolated environments for development, testing, and deployment of software. This allows developers to work in an environment that closely matches the production environment, reducing the likelihood of environment-specific bugs and issues.

VMs also enable rapid provisioning and de-provisioning of resources, which is crucial in a DevOps context where speed and agility are paramount. For example, a new VM can be spun up to test a feature, then torn down once testing is complete.

Infrastructure as Code (IaC)

VMs play a key role in the concept of Infrastructure as Code (IaC), a key DevOps practice. IaC is the process of managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.

In an IaC context, VMs are defined and managed as code. This means that the entire state of a VM, including its operating system, installed applications, configuration settings, and even its network topology, can be defined in a text file. This file can then be versioned and stored in a source control system, just like any other piece of code.

Use Cases of Virtual Machines

Virtual Machines have a wide range of use cases, from running old software on modern hardware, to testing and development, to running large-scale web applications. In each case, the key benefits of VMs - isolation, reproducibility, and resource efficiency - are leveraged to solve a particular problem.

For example, a developer might use a VM to create a clean, isolated environment in which to test a new piece of software. Or a large organization might use VMs to consolidate many small, underutilized servers onto a smaller number of more fully utilized machines, saving on hardware costs and reducing energy usage.

Examples in DevOps

In the DevOps world, VMs are often used in conjunction with tools like Vagrant, Docker, and Kubernetes to manage and orchestrate application environments. For example, a developer might use Vagrant to manage a set of VMs for local development, then use Docker to package the application into containers for deployment.

At a larger scale, a company might use VMs to run a microservices architecture, with each service running in its own VM to ensure isolation and scalability. Kubernetes could then be used to manage and orchestrate these VMs, handling tasks like load balancing, scaling, and failover.

Conclusion

Virtual Machines are a fundamental technology in modern computing and a key tool in the DevOps toolbox. They provide a way to run multiple, isolated systems on a single physical machine, increasing resource efficiency and providing a high degree of flexibility and control.

Whether you're a developer looking to create a reproducible development environment, a system administrator looking to consolidate servers, or a CTO looking to implement a microservices architecture, understanding VMs and how to use them effectively is an essential skill.

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