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What Is a Docker Container and How Is It Hosted?

What Is a Docker Container and How Is It Hosted?
Hostman Team
Technical writer
Infrastructure

Want to know what a Docker is? Need to know how to copy files from your host to a Docker container? Read this article to learn everything about Docker containers and Docker container hosting.

There are few technologies as popular as Docker. A lot of developers and administrators buzz about it. Docker is everywhere and we all must say that even if you’re not a DevOps engineer it is important to understand what Docker containers are, how these things work, and why they are so useful. Well, let’s figure it out.

What is a Docker container?

It is hard to answer the question "what is a Docker container" without explaining what containerization is. Containerization is an alternative way to create virtual machines. Instead of using hardware virtualization developers create software copies of computers where their applications are launched and run.

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Docker is an open-source piece of software that is used to develop, test, deploy and run web applications in a special virtual environment. Docker helps to reduce the number of hardware resources needed to maintain running applications in a stable and efficient manner. Also, it is one of the best tools for developers who want to launch pre-made software products quickly, upscale them or move them to other environments without worrying about the reliability of their project or any other issues.

Container is a product of containerization. It is in essence quite similar to a virtual machine but a lot smaller and dedicated to maintaining only one application rather than a fully-fledged OS with a large number of software tools.

This kind of virtualization works like this:

  • We put all the necessary components of the web application into isolated software environments (virtual blocks).

  • Every block contains everything we need to launch an app properly.

  • Every block can be initiated multiple times.

So, containers are small virtual machines that help developers relaunch an application many times on one computer, and maintain this squadron of apps ensuring reliability and high performance.

How does Docker work?

The main part of aDocker is the Docker Engine. It consists of a server, REST API, and a client. The first is responsible for initializing and controlling containers, the second works as an interpreter between a user and a Docker, and the third is used to pass CLI commands to the Docker Engineserver.

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This is the way it works:

  • The user sends a CLI command to the Docker server via the Docker client. For example, a command that creates a new container or pulls the image of an OS with pre-installed software tools that the user wants to use in his project.

  • Then the Docker server analyses the command and configuration data written in Dockerfile (a kind of document that consists of Docker settings) and performs the actionsthe user’s command dictates..

  • After the command is executed the Docker container is activated.

So the main idea is that the developer communicates with an app in a virtual environment using special software layers created by Docker.

Docker advantages

There are 6 main advantages of using Docker instead of standard virtual machines:

  1. Docker saves computer resources. Instead of emulating OS it uses core components of Linux distributive installed on a server and creates containers for applications like database, interface, etc.

  2. Docker saves your time. You don’t have to set up every virtual machine. Set up just one and Docker will use core elements of it to create containers with the application running inside.

  3. It protects you from malware. Docker containers are isolated from the core OS. So you can run any code inside the virtual block without worrying about malware corrupting your server.

  4. It’s a piece of cake to scale. The only thing you have todo to scale your project — add new containers. The scope of the project depends on the number of virtual blocks used and nothing else.

  5. Docker can launch apps on any compatible host. So you don’t have to spend time setting everything up before starting containerized software.

  6. Docker works smoother than most virtualization technologies. It uses "integrated layer system" technology as an efficient file system.

Why are Docker containers popular?

You’re probably wondering, why should you be using Docker containers in the first place? Well, the idea behind Docker is really simple. That’s why this technology have become so popular among developers,container and Docker Engine server administrators, testers, programmers, and many others well.

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It is often utilized in projects connected with large web services because of its easily scalable system where DevOps specialists can create new iterations of the app in only a few commands.

Also, administrators love Docker because of its monitoring system:it is easy to keep an eye on the whole system and individual components with containers.

How are Docker containers hosted?

Why should you host Docker containers?

The Docker ecosystem with containers and static files is an app, like classic websites or web applications. To make it accessible to users online you have to host it somewhere. On a remote PC that will maintain your service or application day and night .

Docker container hosts are not so different from any other hosts that DevOps specialists or developers work with. But it is really important to choose within the hosts the one that will give you the reliable, fully-fledged platform for your project.

What is a Docker host and how do we work with them? Generally, a Docker host is hardware that serves as a platform for the operating system and Docker containers;basically we are talking about the server. A computer that is placed somewhere in the host’s data center and works 24/7 to maintain your web application or website.

To work with containers (e.g. develop, test, deploy and run applications) you need a proper server. It can be a virtual private server or a dedicated server. Most of developers believe that dedicated is the best option. Some think that VPS is safer to use but the easiest way to host Docker containers is to use hosting platforms like Hostman. There’s an option in this platform that makes it possible to use GitHub (GitLab and Bitbucker are also supported) repository with your code and, in a few clicks, deploy it. All you have to do is:

  • connect your repository with the Dockerfile to a Hostman profile,

  • choose the option to deploy thea Docker container,

  • configure the host (server),

  • and wait till the rest is done almost automatically.

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Hostman will find all the necessary files and create an instance of your Docker service. In 3 simple steps, you’ll get ready for the work environment.

Hostman not only simplifies the process of deploying websites, applications, and complex IT infrastructures but grants users a secure and trustworthy server for projects of any type. Moreover, services like Hostman dramatically reduce costs of DevOps specialists because hosting will:

  • Set up a cloud server for you.

  • Install all dependencies.

  • Build the code.

  • Set up CDN for static files.

  • Install SSL certificate.

  • Monitor the app to relaunch it if it fails.

Essentially, Hostman becomes your DevOps engineer.

How are Docker containers connected to the host?

At the very beginning when we create a Docker image and are ready to launch the container for the first time, we use the command docker run. But it won’t work as expected because a developer has to forward ports so containers gain access to the host and vice versa.

It is necessary to connect Docker containers to the host because sometimes a lot of project files are saved on a local machine but are designed to be managed and accessible within containers.

So, to access the host from the Docker container, the developer has to use additional options while launching virtual machines. For example:

docker run -d -p 8099:8080 [name of the Docker container]

That will make it possible for the newly created virtual machine to interact with the local machine.

How to access the Docker container from your host?

It is quite easy.

  • First, open the directory where your Docker project is saved.

  • Then launch command docker container ls, so you can see all the containers that exist on your server.

  • And then launch command docker exec -it [name of the Docker container] /bin/bash.

That’s it. After accessing the docker container from the host as described you can manipulate your container as you wish.

How does file management work in Docker containers?

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Sometimes you need to move files between virtual machines and your local machine. For instance, to access logs. Or to bring some data to the local database. Let’s get into how to copy a file from host to Docker container and vice versa.

File management within Docker containers and Docker host is quite similar to what developers used to see in the Linux terminal. The commanders are almost the same for moving and copying files.

Let’s start with copying. It’ll give you an idea about everything else. For example, you have a task to copy a file from the Docker container to the host. You can do it using the command docker cp:

docker cp [options] [path to file in container] [path to host]
docker cp filename:/usr/local/apache2/conf/httpd.conf /home/fedora/dockers/httpd/

The command above copies the configuration file of Apache server from the Docker container to a local machine.

It works either way. If you need to copy a file from host to Docker container use the same command:

docker cp [options] [path to local file] [path to a container]

It’s dead simple. And it works, not only for files, but for directories.

How do you copy files from the Docker container to the host?

Usually, to move files from a docker container to a host (or the other way around) developers do the following:

  • Get access to the Docker container.

  • Copy files to host.

  • Remove files from the Docker container.

There are ways to use commands like RUN mv but they frequently fail to launch.

What is a Docker host IP?

By this term users and developers usually mean one of two different things.

The first one is the IP address that is used by people who use containerized applications. Of course, users access the Docker app using a domain name. But IP also exists and works the same way as it works with different websites and classic web applications. This is what’s also called Bridge address:the bridge between users and your application.

The second is the IP address of the Docker container itself which is used by different containers on one host to communicate with each other, stay connected, and work seamlessly managing common data (databases, logs, etc.). Put simply, as a result of interaction between these containers with different IPs, the Bridge IP is generated and makes it possible for users to access the app.

It is necessary to know the IP of certain Docker containers to make the interaction between them manageable.

How to get IP from a Docker container?

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There are three ways to get a Docker container’s IP address:

  1. The easiest way is to use the command docker inspect. Using the command line you must write something like docker inspect [name of your docker container]. If you don’t know the name of the container you need to inspect, you might want to use the command docker ps which will show you all the containers launched at the moment. Also, instead of a specific container, you can access the data from the whole network so you’ll see IPs for every container.

  2. Another method is docker exec. Using the command line you must write docker exec [name of the container] cat /etc/hosts. After that, you’ll see the result with local address and IP address at the last line of code.

  3. The third and final method — using docker exec but inside the Docker container. It is the same command we use for accessing containers but with a small addition. Using the command line you must write docker exec -it [name of the container]. After that, you can access the container’s data. To get the IP address just write ip -4 -o address and CL will return the IP of the container you’re in. Also, it is possible to get data from other containers. Just write ping [name of another docker] container. It’ll show the IP address of a pinged resource.

Summary

So, here we are. That’s the basics of Docker. Simple commands to launch it, move files around, etc. But the coolest thing is that these commands are all that you need because services like Hostman will automate the process of deploying and basic setup.

You just need to choose a configuration of a web server on the Hostman’s website and connect it with your GitHub, GitLab, or Bitbucket account. It will cost you $5.5/month and you can try all the functions for free during the 7-days trial period.

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How to Use Google Veo 3 for AI Video Generation

In mid-2025, Google introduced the third version of its proprietary video generator: Veo. The new model not only creates high-quality visuals but also provides realistic audio tracks, including environmental sounds and character dialogues. In a sense, Google has created something entirely new—something revolutionary—a technology capable of making a quantum leap in video generation. Thanks to this, distinguishing real videos from AI-generated ones will soon become much more difficult. That’s why it’s important to understand what the new Veo 3 neural network is and which special tools Google provides for working with it. Let’s explore this in detail. What Is Google Veo 3 Google Veo is a generative model for creating videos, developed and released by Google in mid-2024. Its main innovation is the native ability to generate audio: sound effects, background music, and dialogues synchronized with lip movements. A frame from one of the official videos generated using Google Veo 3 The audio track of generated videos automatically adapts to the context of the scene, adding appropriate effects as needed: natural sounds, urban ambiance, musical accompaniment, and even human speech with dialects and accents specific to the characters. Thus, the Veo 3 artificial intelligence combines high-quality visuals, realistic physics, and synchronized audio. Features of Veo 3 The updated Veo 3 model has a number of features that distinguish it from other AI video generation services: Longer duration. The duration of generated videos can exceed the standard five seconds common for many AI video generators. The maximum video length is eight seconds. Synchronized audio support. Video is accompanied by environmental sounds, music, and speech, all realistically synchronized with the visuals. Physical accuracy. Hyper-realistic motion of objects, materials, characters, and light throughout the video. This combination of exceptional characteristics makes Google Veo 3 an ideal tool for generating cinematic, animated, or any other videos with high visual dynamics and deep storylines. Thanks to these features, Veo 3 can already be used in professional settings: for UGC content (for example, YouTube), short ads, or even full-length films. Another frame from one of the official videos generated using Google Veo 3 For instance, filmmaker Dave Clark has already used Veo 2 and Veo 3 in several of his short films. Another director, June Lau, also places great hopes on Google’s cutting-edge model, using Veo 3 to create a short film titled Dear Strangers. Filmmaker Yonatan Dor created his own short film, The History of Influencers, using Veo 3, featuring fictional influencers from different eras. In general, the number of directors and artists integrating Google’s AI tools into their content creation process is growing rapidly. However, it’s worth noting that Veo 3 is still not enough to create a full-fledged movie; it serves best as an auxiliary tool. Capabilities of Veo 3 The new version of Veo includes several ways to generate video using different types of input data: Text-to-video. The primary method of video generation in Veo 3 is based on a detailed (preferably very detailed) text description. Image-to-video. Veo 3 can generate videos based on text or images. Moreover, any image used as input can be enhanced with a textual description that clarifies the scene’s behavior. Video-to-video. Using additional tools (Flow), users can upload existing videos and apply modifications with Veo 3: adding or removing objects, changing visual styles, adjusting camera behavior, editing object movement, and their accompanying sounds. As previously noted, Veo 3 videos integrate all attributes of traditional, non-computer-generated footage. The standard output resolution is 720p, but the upscaling feature allows increasing it up to 4K. Veo 3 Tools It’s important to note that Veo 3 cannot be used “as is”—additional Google tools are required. Flow Google offers a special tool that combines Veo (video), Imagen (images), and Gemini (text) models in a single director-style interface called Flow. Essentially, it’s Google’s central content creation platform. With Flow, users can precisely edit videos: extend frames, add new details, animate specific elements, adjust camera movement, store styles, and more. This editor is ideal for solo and manual work as it allows quick creation of short clips with instant preview and fine-tuning. Everything happens in a single window. At the same time, Flow requires minimal technical setup: no cloud account, billing, or SDK is needed; video generation happens directly within the visual interface. Demonstration of the Flow graphical interface at the Google I/O 2025 presentation (Kerry Wan/ZDNET) Gemini With the Gemini LLM neural network, users can generate precise prompts for video generation via Flow. In simple terms, Gemini serves as a converter that transforms more human-style text descriptions into more machine-readable ones, though both are still in natural language and easy to understand. For example, you can find an image online or generate one using another AI tool (e.g., Midjourney), attach it to a message in the Gemini chatbot (or any other LLM), and provide an additional description: “I need precise prompt is needed for Google Veo 3 to generate a short video from this image, where three men are pushing a banana-shaped car with a driver at the wheel, and as the car gains speed, it gradually turns yellow.” Gemini will then generate a complete prompt for video generation and include explanatory comments, for example: “A vintage car, half-peeled banana, driven by a man in a hat, is being pushed by three other men from behind. The car is initially in black and white, but as it gains momentum and the men push harder, the banana part of the car gradually becomes fully ripe yellow. The background shows a field with trees in the distance, also in black and white. Dynamic camera movement, tracking the car as it accelerates.” This way, you can generate a video based on a reference image by following a simple sequence of steps: Generate a prompt for image generation using an LLM (based on a description). Generate the image (based on the prompt). Generate a prompt for video generation (based on the description and image). Generate the video (based on the prompt). Alternatively, you can use a ready-made reference image from the Internet: Generate a prompt for video generation (based on the description and image). Generate the video (based on the prompt). In a simplified version, you can also generate a video without using any reference images: Generate a prompt for video generation (based on the description). Generate the video (based on the prompt). Or, you can manually write the prompt for video generation from scratch :) Nevertheless, Gemini (naturally, in paid tiers) also allows generating videos using Veo 3. However, in most cases, Flow is used for video creation as it’s more convenient and visually intuitive. After all, Gemini is primarily designed for working with text rather than video. Vertex AI The Vertex AI platform represents an enterprise solution for large-scale cloud-based content generation and asset storage, that is, various media files needed for creating images and videos. In essence, it’s a fully managed platform for developing, training, deploying, and maintaining AI models. It brings together all the tools needed for every stage of the machine learning cycle, from data preparation to model performance monitoring. Thus: Flow provides a convenient and visual approach. Gemini delivers accurate and relevant prompts. Vertex AI ensures a reliable and scalable infrastructure. Together, they turn Veo 3 from an experimental service into a professional tool capable of solving real-world challenges across a wide variety of projects. How to Use Veo 3: Step-by-Step Guide After understanding the main tools, we can now look at how to generate a video using Veo 3. First of all, it’s important to note that to use Google Veo 3, you must have one of Google AI’s paid subscriptions: Google AI Pro. Expands the basic functionality of Google’s AI tools. Starting at $19 per month. Google AI Ultra. Offers maximum, virtually unlimited content-generation capabilities. Starting at $249 per month. There’s no other official way to use Veo 3 within the Google ecosystem. A paid subscription is required. The only exceptions are third-party intermediary services or Telegram bots that provide Veo 3 video generation on a pay-per-video basis. Another important detail: the Flow editor is only available in English. Moreover, prompts for Veo 3 must be written in English. The only exception is dialogue lines: they can be written in any other language, and Veo 3 will perfectly reproduce the described characters’ dialects. Such a level of synchronization between sound and video, with extraordinary precision, amazes (and sometimes even frightens) people well-acquainted with modern technology. Working with such a powerful generative model usually requires additional tools for convenient use. Therefore, Google offers several ways to interact with Veo 3, differing in their complexity. Using Flow Flow allows you to create scenes, control camera movement, manage assets, and edit clips, all without third-party tools. Essentially, it’s an intuitive visual editor for creating videos with Veo 3. Using it is simple: Sign in. On the Flow homepage, log in with your Google account. Create a project. Click the New project button. A page will open where you can enter a text prompt describing the desired video and its audio track. Choose input type. On the prompt input page, select the source type for your video: Text to Video, Frames to Video, or Ingredients to Video. Choosing the latter two enables extra settings for camera behavior and frame composition. Configure settings. On the same page, you can set generation parameters: the number of variants per prompt (1–4) and the model used (Veo 2 Fast, Veo 2 Quality, Veo 3 Highest Quality). Depending on the settings, each generation consumes 10–100 Flow credits. Enter the prompt. Type your text prompt in the input field. Generate. After entering the prompt, click the arrow button and wait 2–7 minutes. The generated videos and prompts will appear in the request history above the input field. This is Flow’s basic functionality. In many ways, it resembles LLM chatbots, only instead of text, it produces video. Naturally, Flow also includes advanced tools for composing and editing video clips. Using Gemini To generate a video directly in the Gemini chatbot, follow these simple steps: Sign in. Log in to Gemini with your Google account. After successful sign-in, the chat interface opens. Activate video mode. 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Hypervisor: Types, Examples, Security, Comparison

A hypervisor is a process that helps separate the operating system and running applications from the hardware component. This typically refers to specialized software. However, embedded hypervisors also exist. These are available from the start, rather than being launched after system deployment. The hypervisor is what enables the development of the virtualization concept. Hardware virtualization is the ability to manage multiple virtual machines (VMs) on a single device. They become guest systems. An example of virtualization in use is renting a virtual server from a hosting provider. Multiple isolated spaces are located on one device. Different software can be installed on them. This increases resource utilization efficiency. Memory, computing power, and bandwidth are distributed among virtual servers rather than sitting idle waiting for load. Virtualization is not limited to servers. Storage hypervisors use it for data storage. They run on physical hardware as VMs, within the system, or in another storage network. Hypervisors also help virtualize desktops and individual applications. History of the Hypervisor Virtualization began being used in the 1960s. For the most part, the virtualization environment was applied to IBM mainframes. Developers used it to test ideas and to study and refine hardware concepts. This made it possible to deploy systems and fix errors without threats to the stability of the primary equipment. At the beginning of the new millennium, virtualization received a powerful boost thanks to widespread adoption in Unix family operating systems. There were several reasons for mass distribution: Server hardware capabilities improved. Architecture refinement led to increased reliability and security. Developers began implementing hardware virtualization on processors based on x86 architecture. This led to mass adoption. Since then, virtualization systems have been used not only for solving complex engineering tasks, but also for simple resource sharing and even home entertainment. In recent years, virtualization has expanded beyond x86 to ARM-based processors, with solutions like Apple's Virtualization framework and AWS Graviton instances becoming increasingly common. Advantages of Hypervisors Although virtual machines run on a single device, logical boundaries are built between them. This isolation protects against threats. If one virtual machine fails, others continue to operate. Another huge advantage is mobility. VMs are independent of hardware. Want to migrate an environment to another server? No problem. Need to deploy a VM on a local computer? Also a simple task. Less connection to hardware means fewer dependencies. Finally, resource savings. A hosting provider manages equipment more rationally by providing one physical server to multiple clients. Machines don't sit idle, but bring benefit with all their capabilities. Clients don't overpay for physical equipment while simultaneously gaining the ability to scale quickly and conveniently if such a need arises. Types of Hypervisors There are two types of hypervisors, concisely named Type 1 and Type 2. TYPE 1: bare-metal hypervisors. They run on the computer's hardware. From there, they manage the equipment and guest systems. This type of virtualization is offered by Xen, Microsoft Hyper-V, Oracle VM Server, and VMware ESXi. Modern cloud providers also use specialized Type 1 hypervisors like AWS Nitro and KVM-based solutions. TYPE 2: hosted hypervisors. They operate within the system as regular programs. Virtual systems in this case appear in the main system as processes. Examples include VirtualBox, VMware Workstation, VMware Player, and Parallels Desktop. To increase the stability, security, and performance of hypervisors, developers combine features of both types, creating hybrid solutions. They work both on "bare metal" and using the host's main system. Examples include recent versions of Xen and Hyper-V. The boundaries between bare-metal and hosted hypervisors are gradually blurring. However, it's still possible to determine the type. Though there's usually no practical need for this. Hypervisor Comparison Virtualization types are not the only difference. Hypervisors solve different tasks, have different hardware requirements, and have licensing peculiarities. Hyper-V A free hypervisor for servers running Windows OS. Its features: No graphical interface; configuration and debugging must be done in the console. Licenses must be purchased for all VMs running Windows. No technical support, although updates are released regularly. Hyper-V uses encryption to protect virtual machines and also allows reducing and expanding disk space. Among the disadvantages: there's no USB Redirection needed for connecting USB devices to virtual hosts. Instead, Discrete Device Assignment is used, which is not a complete replacement. VMware VMware is a virtualization technology created by the American company of the same name. It's used to organize virtual server operations. In 2024, Broadcom acquired VMware and introduced significant changes to licensing models and product portfolios, shifting focus toward larger enterprise customers. Many know about ESXi, a hardware hypervisor built on a lightweight Linux kernel called VMkernel. It contains all the necessary virtualization tools. A license must be purchased for each physical processor to operate. The amount of RAM and how many virtual machines you plan to run on your equipment doesn't matter. Note that under Broadcom's ownership, licensing models have evolved, with many standalone products being bundled into subscription packages. VMware has free virtualization tools. However, their capabilities are insufficient for professional use. For example, the API works in read-only mode, and the number of vCPUs must not exceed eight. Additionally, there are no backup management tools.  VMware Workstation The VMware Workstation hypervisor was created in 1999. Now it's a virtualization tool for x86-64 computers with Windows and Linux. The hypervisor supports over two hundred guest operating systems. VMware Hypervisor has a free version with reduced functionality, typically used for familiarization and testing. In 2024, Broadcom made VMware Workstation Pro free for personal use, making it more accessible to individual users and developers. KVM An open-source tool designed for Linux/x86-based servers. Intel-VT and AMD-V extensions are also supported, and ARM virtualization extensions are increasingly common. The KVM hypervisor is quite popular. It's used in many network projects: financial services, transportation systems, and even in the government sector. KVM is integrated into the Linux kernel, so it runs quickly. Major cloud providers use KVM as the foundation for their virtualization infrastructure. However, some disadvantages remain. Built-in services are not comparable in functionality to other hypervisors' solutions. To add capabilities, third-party solutions must be used, such as SolusVM or more modern management platforms like Proxmox VE. KVM is being refined by a community of independent developers, so gradually there are fewer shortcomings in its operation. The quality of the hypervisor is confirmed by hosting providers who choose it for virtualization on their equipment. Xen Xen is a cross-platform hypervisor solution that supports hardware virtualization and paravirtualization. It features minimal code volume. Modules are used to expand functionality. Open source code allows any specialist to modify Xen for their needs. Oracle VM VirtualBox Oracle VM VirtualBox is a cross-platform hypervisor for Windows, Linux, macOS, and other systems.  It is one of the most popular hypervisors, especially in the mass market segment. This is partly because VM VirtualBox has open source code. The program is distributed under the GNU GPL license. A distinctive feature: VirtualBox offers broad compatibility across different host and guest operating system combinations, making it ideal for development and testing environments. Hypervisors vs. Containers Hypervisors are often contrasted with containers. They allow deploying a greater number of applications on a single device. You already know what a hypervisor is and how it works. The problem is that VMs consume many resources. To operate, you need to make a copy of the operating system, plus a complete copy of the equipment for this system to function. If you allocate a nominal 4 GB of RAM to a VM, then the main device will have 4 GB less RAM. Unlike VMs, a container only uses the operating system's resources. It also needs power to run a specific application. But much less is required than to run an entire OS. However, containers cannot completely replace VMs. This is partly due to the increased risk of losing all data. Containers are located inside the operating system. If the host is attacked, all containers can be damaged or lost. A virtualization server creates multiple virtual machines. They don't interact with each other; there are clear boundaries between them. If one machine is attacked, the others remain safe. Along with all their contents. In modern infrastructure, containers and VMs are often used together. Container orchestration platforms like Kubernetes typically run on virtual machines, combining the isolation benefits of VMs with the efficiency of containers. This hybrid approach has become the standard for cloud-native applications. Security Issues Hypervisors are more secure than containers. However, they still have problems. Theoretically, it's possible to create a rootkit and malicious application that installs itself disguised as a hypervisor. Such a hack is called hyperjacking. It's difficult to detect. Protection doesn't trigger because the malicious software is already installed and intercepts system actions. The system continues to work, and the user doesn't even suspect there are problems. To protect the system from rootkits, specialists are developing various approaches that protect it without negatively affecting performance. Modern processors include hardware-based security features like Intel TXT and AMD Secure Encrypted Virtualization to help prevent hypervisor-level attacks. How to Choose a Hypervisor The choice is vast: VMware or VirtualBox, Hyper-V or KVM. There's one universal recommendation: focus on the tasks. If you need to test an operating system in a virtual machine on a home computer, VirtualBox will suffice. If you're looking for a solution to organize a corporate-level server network, then the focus shifts toward VMware tools (keeping in mind recent licensing changes), KVM-based solutions like Proxmox, or cloud-native options. For cloud deployments, consider managed hypervisor solutions from providers like Hostman, AWS, Azure, or Google Cloud, which abstract away much of the complexity while providing enterprise-grade performance and security.
20 October 2025 · 9 min to read

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