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VPS vs Physical Server: What is Better
Infrastructure
27.11.2021
9 min read
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Simply put, a server is a remote computer that is used by developers and webmasters as a software platform to store their apps and sites on.
When you want to deploy any online product to the World Wide Web you have to host it on a server that works 24/7 and make it available to any person from any part of the globe.
There are two types of servers. Physical ones that are actual computers with real hardware in them like one that you use but much more powerful. And virtual ones that are based on similar hardware of one vigorous PC running permanently but are in fact copies of real operating systems used as a substitute for physical servers with the same capabilities.
Now let’s get deeper into how different types of servers work. How are they structured in terms of technologies, which ones are most effective and which you should you choose for your project.
What are physical servers?
Sometimes it is called a "dedicated server". As we mentioned above, a physical server is a real computer with tangible hardware parts. It has a processor, a certain amount of RAM, a disk to store data on (SSD or HDD), a lot of connectivity ports, and stuff like that.
It works like any PC, so it is possible to launch applications on it. And you can do so remotely. Some providers have plans with dedicated servers for rent. In summary, the process of working with this type of server is as follows:
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You pay in advance to access the server.
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Hosting gives you a pre-made machine with a certain amount of memory and other hardware components.
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You connect your device with a rented remote PC via a technology called SSH (or it's alternative) and control it as if it were your real computer.
Pros and cons of physical servers
The main advantage of using a dedicated server lies in the ability of the renter to control every aspect of the "machine". You have full access to anything software-wise, so you can use tools that are not available on IaaS-platforms or on virtual servers. DS comes with no restrictions at all. Also, such an approach gives you more security because nobody except you can access data inside a rented computer. Even a provider who can destroy your machine physically cannot override your privileges to control it and erase or alter data stored on the server.
There are also disadvantages in opting for such a solution. First off, it is expensive. Dedicated servers are costly to maintain so providers will charge you more, and you can’t do anything about this. Secondly, it is hard to scale a physical server when the audience for your application or the size of the database exceeds the already ambitious expectations you had when you rented it. It would be hard to move data from the old machine to the new one or to upgrade the current PC without shutting it down for maintenance.
Data backup on physical servers
One of the problems inherent in hosting products on a physical machine is the lack of basic tools to protect the data and duplicate it somewhere else in case of any malfunction.
To resolve this you might want to use software called Veeam. To back up a physical server developers have to add computers to a specific location named "Protection Group". This is possible via Veeam Backup and Replication tool. You have to add all the machines whose data you are going to add to the backup.
Then in the same application, you’ll be able to create a "Backup Job". It is a process that automatically gathers all the information from PCs included in the Protection Group.
What are virtual servers?
Virtual servers are simulacrums of physical ones. Sets of hardware and software technologies emulating real computers with the same capabilities you’d normally expect from them.
They are also used to host websites and applications but in addition to traditional applications cloud technologies and different ways of virtualization introduced products that help to create fully functional digital workspaces, massive data storages, etc.
There are three main types of virtualizations:
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OS-Level Virtualization — when the server containerizes certain applications or specific areas of OS, multiplies it, and makes it available for renters to install some software to work with.
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Full Virtualization — it is a more complex virtual that is usually launched on bare metal (real computers hardware) using RAM, processor, and disk that exist and are not emulated.
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Para-virtualization — once the hardware is used to install it many virtual OSes are controlled via special utilities called hypervisors.
Benefits of server virtualization
Different types of virtualization come with different advantages.
The most obvious one is saving. All three help providers to spend less money on actual hardware. They can create as many virtual servers on one computer with one set of RAM, ROM, etc. Artificial platforms like this are cheaper as a product for developers and webmasters. But at the same time, emulated servers have the same capabilities as real computers.
Moreover, para-virtualized solutions have enough security to work with sensitive data. And OS-level containers make it simple to scale the system as a whole.
Different ways of virtualization yielded different products based on it that are now used by hosting providers.
Virtual Private Servers
VPS is a product of para-virtualization. It is a server that "tries hard" to become a full-fledged computer and makes it possible to use any operating system and any tools that you wish to access on your remote server.
VPS is actively used by developers and webmasters around the world to:
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create from low- to middle-level informational sites, online stores, commercial websites.
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develop and test applications together with the team.
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to host personal gaming servers.
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to store databases.
It is quite multi-purposeful and most of the time the VPS’s capabilities would strongly depend on the plan that you chose renting the server (and your aims of course).
How does VPS work
Virtual Private Servers differ from each other by the technology that is used to create and control virtual machines. Usually, VPS is divided into two camps: based on OpenVZ tech and KVM tech. We’ve already discussed containerization, so OpenVZ is similar in terms of implementation. It makes it possible for a provider to host many virtual machines on one PC making each of them dependable on the same CPU, the same RAM, and the same disk. KVM is different because it helps to create many isolated artificial servers on one physical one. It is a much more secure and reliable technology.
Advantages and disadvantages of VPS
Pros of VPS are:
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Relatively low price. It is not as cheap as basic virtual hosting but it costs less than a physical machine. Considering the fact that it behaves more like a real computer it seems to be a good bargain.
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Less responsibility. You don’t really have to worry about the technical aspects. Just launch a server with a desired OS and applications and you are ready to go.
Cons of VPS are:
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Dependency on shared hardware. Some types of VPS give you only a fraction of the hardware installed on a physical machine. In this case you’ll share it with other developers and webmasters. It sometimes means your application or website might performan poorly because of other tenants using the same server. Even if you choose proper virtualization technology, hypervisors will limit potential capabilities.
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Also, you have no impact on hardware itself. You’re isolated inside the workplace guaranteed to you by a hypervisor.
Virtual Dedicated Servers
If you see the abbreviation VDS don’t bother looking for an explanation. It is basically the same technology represented by VPS. The only distinction you might stumble upon is a type of virtualization used for both. Webmasters sometimes like to emphasize it. Just as VDS only means KVM-like servers and VPS OpenVZ-like. More on this in our previous article.
Shared hostings
The most basic type of virtual servers. The idea of it is similar to containerization but on a more subtle level. Basically, when you rent shared hosting you get a space on the hard drive of a PC controlled by administrators of the host you pay.
It is not as bad as it might seem at first. Yes, your server in this case is just a folder. But nobody restricts you from putting files in it. It is therefore a mediocre but practical solution for simple websites (there are many devs out there who build on top of shared hostings rather massive WordPress-based projects).
If you need something more complex that requires installing different packages or using specific structures you should rent VPS and go a step further.
Cloud-based solutions
The highest degree of virtual servers. Clouds are ephemeral and outstandingly flexible. Virtually you can convert them into anything. Database, application server, digital office, private file storage, a stack of private clouds together forming hosts to deploy different tools on, etc.
On top of clouds, different companies build fully-fledged services that are almost ready to use before you click "buy". And they are separated into three groups:
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IAAS — Infrastructure as a Service. A type of cloud where everything hardware-wise is on hosting and anything software-wise is on the tenant. A solid solution for a strong team of developers wishing to focus on development but not on server management.
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PAAS — Platform as a Service. A more abstract form of service that cuts out part of the software management and puts developers eye to eye with the OS-level fragments of the infrastructure.
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SAAS — Software as a Service. A modern solution for teams that have no need for OS-level control but rather certain software solutions. For example, Hostman offers pre-made virtual cloud clusters with analytic tools, gaming servers, databases, and other stuff that developers and entrepreneurs need for their work but have no competence to implement manually (or just don’t want to).
Data backup
Using modern virtual servers you don’t really have to worry about data safety. The host will take care of it (normally once you’ve pay for it). And it works not only for modern solutions like cloud-based ones but for classical VPS servers too.
To create backups you will need to access a control panel (a special tool provided by the host that lets interact with your server). In 99% of cases this will be a button or a tab saying "Create a backup" or something like this. Activating it will quickly and effortlessly create a copy of every bit of information on your server that you need. Moreover, you will probably to able to plan this procedure so it happens automatically every few days.
Conclusion
Here it is. It is of course up to you to choose what kind of server to use as a host but think twice before making a decision. Virtual platforms are highly anticipated because they are really easy to operate and powerful. Want to try one before paying for anything? Get to Hostman Marketplace and choose a virtual platform with a preinstalled software of your choice or deploy your own via GitHub. Everything is free for 7 days and after that prices start at just $5.5 per month.
Infrastructure
27.11.2021
9 min read
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Infrastructure
Virtualization vs Containerization: What They Are and When to Use Each
This article explores two popular technologies for abstracting physical hardware: virtualization and containerization. We will provide a general overview of each and also discuss the differences between virtualization and containerization.
What Is Virtualization
The core component of this technology is the virtual machine (VM). A VM is an isolated software environment that emulates the hardware of a specific platform. In other words, a VM is an abstraction that allows a single physical server to be transformed into multiple virtual ones.
Creating a VM makes sense when you need to manage all operating system kernel settings. This avoids kernel conflicts with hardware, supports more features than a specific OS build might provide, and allows you to optimize and install systems with a modified kernel.
What Is Containerization
Containers work differently: to install and run a container platform, a pre-installed operating system kernel is required (this can also be on a virtual OS). The OS allocates system resources for the containers that provide a fully configured environment for deploying applications.
Like virtual machines, containers can be easily moved between servers and provide a certain level of isolation. However, to deploy them successfully, it’s sufficient for the base kernel (e.g., Linux, Windows, or macOS) to match — the specific OS version doesn’t matter. Thus, containers serve as a bridge between the system kernel layer and the application layer.
What Is the Difference Between Containerization and Virtualization
Some, especially IT beginners, often frame it as "virtualization vs containerization." But these technologies shouldn't be pitted against each other — they actually complement one another. Let’s examine how they differ and where they overlap by looking at how both technologies perform specific functions.
Isolation and Security
Virtualization makes it possible to fully isolate a VM from the rest of the server, including other VMs. Therefore, VMs are useful when you need to separate your applications from others located on the same servers or within the same cluster. VMs also increase the level of network security.
Containerization provides a certain level of isolation, too, but containers are not as robust when it comes to boundary security compared to VMs. However, solutions exist that allow individual containers to be isolated within VMs — one such solution is Hyper-V.
Working with the Operating System
A VM is essentially a full-fledged OS with its own kernel, which is convenient but imposes high demands on hardware resources (RAM, storage, CPU).
Containerization uses only a small fraction of system resources, especially with adapted containers. When forming images in a hypervisor, the minimal necessary software environment is created to ensure the container runs on an OS with a particular kernel. Thus, containerization is much more resource-efficient.
OS Updates
With virtualization, you have to download and install OS updates on each VM. To install a new OS version, you need to update the VM — in some cases, even create a new one. This consumes a significant amount of time, especially when many virtual machines are deployed.
With containers, the situation is similar. First, you modify a file (called a Dockerfile) that contains information about the image. You change the lines that specify the OS version. Then the image is rebuilt and pushed to a registry. But that’s not all: the image must then be redeployed. To do this, you use orchestrators — platforms for managing and scaling containers. Orchestration tools (the most well-known are Kubernetes and Docker Swarm) allow automation of these procedures, but developers must install and learn them first.
Deployment Mechanisms
To deploy a single VM, Windows (or Linux) tools will suffice, as will the previously mentioned Hyper-V. But if you have two or more VMs, it’s more convenient to use solutions like PowerShell.
Single containers are deployed from images via a hypervisor (such as Docker), but for mass deployment, orchestration platforms are essential. So in terms of deployment mechanisms, virtualization and containerization are similar: different tools are used depending on how many entities are being deployed.
Data Storage Features
With virtualization, VHDs are used when organizing local storage for a single VM. If there are multiple VMs or servers, the SMB protocol is used for shared file access.
Hypervisors for containers have their own storage tools. For example, Docker has a local Registry repository that lets you create private storage and track image versions. There is also the public Docker Hub repository, which is used for integration with GitHub. Orchestration platforms offer similar tools: for instance, Kubernetes can set up file storage using Azure’s infrastructure.
Load Balancing
To balance the load between VMs, they are moved between servers or even clusters, selecting the one with the best fault tolerance.
Containers are balanced differently. They can’t be moved per se, but orchestrators provide automatic starting or stopping of individual containers or whole groups. This enables flexible load distribution between cluster nodes.
Fault Tolerance
Faults are also handled in similar ways. If an individual VM fails, it’s not difficult to transfer that VM to another server and restart the OS there.
If there’s an issue with the server hosting the containerization platform, containers can be quickly recreated on another server using the orchestrator.
Pros and Cons of Virtualization
Advantages:
Reliable isolation. Logical VM isolation means failures in one VM don’t affect the others on the same server. VMs also offer a good level of network security: if one VM is compromised, its isolation prevents infection of others.
Resource optimization. Several VMs can be deployed on one server, saving on purchasing additional hardware. This also facilitates the creation of clusters in data centers.
Flexibility and load balancing. VMs are easily transferred, making it simpler to boost cluster performance and maintain systems. VMs can also be copied and restored from backups. Furthermore, different VMs can run different OSs, and the kernel can be any type — Linux, Windows, or macOS — all on the same server.
Disadvantages:
Resource consumption. VMs can be several gigabytes in size and consume significant CPU power. There are also limits on how many VMs can run on a single server.
Sluggishness. Deployment time depends on how "heavy" the VM is. More importantly, VMs are not well-suited to scaling. Using VMs for short-term computing tasks is usually not worthwhile.
Licensing issues. Although licensing is less relevant for Russian developers, you still need to consider OS and software licensing costs when deploying VMs — and these can add up significantly in a large infrastructure.
Pros and Cons of Containerization
Advantages:
Minimal resource use. Since all containers share the same OS kernel, much less hardware is needed than with virtual machines. This means you can create far more containers on the same system.
Performance. Small image sizes mean containers are deployed and destroyed much faster than virtual machines. This makes containers ideal for developers handling short-term tasks and dynamic scaling.
Immutable images. Unlike virtual machines, container images are immutable. This allows the launch of any number of identical containers, simplifying testing. Updating containers is also easy — a new image with updated contents is created on the container platform.
Disadvantages:
Compatibility issues. Containers created in one hypervisor (like Docker) may not work elsewhere. Problems also arise with orchestrators: for example, Docker Swarm may not work properly with OpenShift, unlike Kubernetes. Developers need to carefully choose their tools.
Limited lifecycle. While persistent container storage is possible, special tools (like Docker Data Volumes) are required. Otherwise, once a container is deleted, all its data disappears. You must plan ahead for data backup.
Application size. Containers are designed for microservices and app components. Heavy containers, such as full-featured enterprise software, can cause deployment and performance issues.
Conclusion
Having explored the features of virtualization and containerization, we can draw a logical conclusion: each technology is suited to different tasks.
Containers are fast and efficient, use minimal hardware resources, and are ideal for developers working with microservices architecture and application components.
Virtual machines are full-fledged OS environments, suitable for secure corporate software deployment.
Therefore, these technologies do not compete — they complement each other.
10 June 2025 · 7 min to read
Infrastructure
Top RDP Clients for Linux in 2025: Remote Access Tools for Every Use Case
RDP (Remote Desktop Protocol) is a proprietary protocol for accessing a remote desktop. All modern Windows operating systems have it by default. However, a Linux system with a graphical interface and the xrdp package installed can also act as a server. This article focuses on Linux RDP clients and the basic principles of how the protocol works.
Remote Desktop Protocol
RDP operates at the application layer of the OSI model and is based on the Transport Layer Protocol (TCP). Its operation follows this process:
A connection is established using TCP at the transport layer.
An RDP session is initialized.
The RDP client authenticates, and data transmission parameters are negotiated.
A remote session is launched: the RDP client takes control of the server.
The server is the computer being remotely accessed.
The RDP client is the application on the computer used to initiate the connection.
During the session, all computational tasks are handled by the server. The RDP client receives the graphical interface of the server's OS, which is controlled using input devices. The graphical interface may be transmitted as a full graphical copy or as graphical primitives (rectangles, circles, text, etc.) to save bandwidth. By default, RDP uses port 3389, but this can be changed if necessary.
A typical use case is managing a Windows remote desktop from a Linux system. From anywhere in the world, you can connect to it via the internet and work without worrying about the performance of the RDP client.
Originally, RDP was introduced in Windows NT 4.0. It comes preinstalled in all modern versions of Windows. However, implementing a Linux remote desktop solution requires special software.
RDP Security
Two methods are used to ensure the security of an RDP session: internal and external.
Standard RDP Security: This is an internal security subsystem. The server generates RSA keys and a public key certificate. When connecting, the RDP client receives these. If confirmed, authentication takes place.
Enhanced RDP Security: This uses external tools to secure the session, such as TLS encryption.
Advantages of RDP
RDP is network-friendly: it can work over NAT, TCP, or UDP, supports port forwarding, and is resilient to connection drops.
Requires only 300–500 Kbps bandwidth.
A powerful server can run demanding apps even on weak RDP clients.
Supports Linux RDP connections to Windows.
Disadvantages of RDP
Applications sensitive to latency, like games or video streaming, may not perform well.
Requires a stable server.
File and document transfer between the client and server may be complicated due to internet speed limitations.
Configuring an RDP Server on Windows
The most common RDP use case is connecting to a Windows server from another system, such as a Linux client.
To enable remote access, the target system must be configured correctly. The setup is fairly simple and works "out of the box" on most modern Windows editions.
Enable remote desktop access via the Remote Access tab in System Properties.
Select the users who can connect (by default, only administrators).
Check firewall settings. Some profiles like “Public” or “Private” may block RDP by default. If the server is not in a domain, RDP might not work until you allow it manually via Windows Firewall → Allowed Apps.
If behind a router, you might need to configure port forwarding via the router’s web interface (typically under Port Forwarding). Recall that RDP uses TCP port 3389 by default.
Best RDP Clients for Linux
Remmina
Website: remmina.org
Remmina is a remote desktop client with a graphical interface, written in GTK+ and licensed under GPL. In addition to RDP, it supports VNC, NX, XDMCP, SPICE, X2Go, and SSH.
One of its key features is extensibility via plugins. By default, RDP is not available until you install the freerdp plugin. After installing the plugin, restart Remmina, and RDP will appear in the menu.
To connect:
Add a new connection.
Fill in connection settings (you only need the remote machine's username and IP).
Customize further if needed (bandwidth, background, hotkeys, themes, etc.).
Save the connection — now you can connect with two clicks from the main menu.
If you need to run Remmina on Windows, a guide is available on the official website.
FreeRDP
Website: freerdp.com
FreeRDP is a fork of the now-unsupported rdesktop project and is actively maintained under the Apache license.
FreeRDP is a terminal-based client. It is configured and launched entirely via the command line. Its command structure is similar to rdesktop, for example:
xfreerdp -u USERNAME -p PASSWORD -g WIDTHxHEIGHT IP
This command connects to the server at the given IP using the specified credentials and screen resolution.
KRDC
Website: krdc
KRDC (KDE Remote Desktop Client) is the official remote desktop client for KDE that supports RDP and VNC protocols.
It offers a clean and straightforward interface consistent with KDE's Plasma desktop environment.
KRDC is ideal for users of KDE-based distributions like Kubuntu, openSUSE KDE, and Fedora KDE Spin. It integrates well with KDE's network tools and provides essential features such as full-screen mode, session bookmarking, and network browsing via Zeroconf/Bonjour.
KRDC is actively maintained by the KDE community and is available through most Linux package managers.
GNOME Connections
Website: gnome-connections
Vinagre was the former GNOME desktop's default remote desktop client. GNOME Connections, a modernized remote desktop tool for GNOME environments, has since replaced it.
GNOME Connections supports RDP and VNC, providing a simple and user-friendly interface that matches the GNOME design language. It focuses on ease of use rather than configurability, making it ideal for non-technical users or quick access needs.
Features:
Bookmarking for quick reconnections
Simple RDP session management
Seamless integration into GNOME Shell
Connections is maintained as part of the official GNOME project and is available in most distribution repositories.
Apache Guacamole
Website: guacamole.apache.org
This is the simplest yet most complex remote desktop software for Linux.
Simple because it works directly in a browser — no additional programs or services are needed.
Complex because it requires one-time server installation and configuration.
Apache Guacamole is a client gateway for remote connections that works over HTML5. It supports Telnet, SSH, VNC, and RDP — all accessible via a web interface. Although the documentation is extensive, many ready-made scripts exist online to simplify basic setup.
To install:
wget https://git.io/fxZq5 -O guac-install.sh
chmod +x guac-install.sh
./guac-install.sh
After installation, the script will provide a connection address and password.
To connect to a Windows server via RDP:
Open the Admin Panel, go to Settings → Connections, and create a new connection.
Enter the username and IP address of the target machine — that's all you need.
The connection will now appear on the main page, ready for use.
Conclusion
RDP is a convenient tool for connecting to a remote machine running Windows or a Linux system with a GUI. The server requires minimal setup — just a few settings and firewall adjustments — and the variety of client programs offers something for everyone.
09 June 2025 · 6 min to read
Infrastructure
Docker Container Storage and Registries: How to Store, Manage, and Secure Your Images
Docker containerization offers many benefits, one of which is image layering, enabling fast container generation. However, containers have limitations — for instance, persistent data needs careful planning, as all data within a container is lost when it's destroyed. In this article, we’ll look at how to solve this issue using Docker’s native solution called Docker Volumes, which allows the creation of persistent Docker container storage.
What Happens to Data Written Inside a Container
To begin, let’s open a shell inside a container using the following command:
docker run -it --rm busybox
Now let’s try writing some data to the container:
echo "Hostman" > /tmp/data
cat /tmp/data
Hostman
We can see that the data is written, but where exactly? If you're familiar with Docker, you might know that images are structured like onions — layers stacked on top of each other, with the final layer finalizing the image. Each layer can only be written once and becomes read-only afterward. When a container is created, Docker adds another layer for handling write operations.
Since container lifespans are limited, all data disappears once the container is gone. This can be a serious problem if the container holds valuable information. To solve this, Docker provides a solution called Docker Volumes. Let’s look at what it is and how it works.
Docker Volumes
Docker Volumes provide developers with persistent storage for containers. This tool decouples data from the container’s lifecycle, allowing access to container data at any time. As a result, data written inside containers remains available even after the container is destroyed, and it can be reused by other containers. This is a useful solution for sharing data between Docker containers and also enables new containers to connect to the existing storage.
How Docker Volumes Work
A directory is created on the server and then mounted into one or more containers. This directory is independent because it is not included in the Docker image layer structure, which allows it to bypass the read-only restriction of the image layers for containers that include such a directory.
To create a volume, use the following command:
docker volume create
Now, let’s check its location using:
docker volume inspect volume_name
The volume name usually consists of a long alphanumeric string. In response, Docker will display information such as the time the volume was created and other metadata, including the Mountpoint. This line shows the path to the volume. To view the data stored in the volume, simply open the specified directory.
There are also other ways to create a Docker Volume. For example, the -v option can be added directly during container startup, allowing you to create a volume on the fly:
docker run -it --rm -v newdata:/data busybox
Let’s break down what’s happening here:
The -v argument follows a specific syntax, indicated by the colon right after the volume name (in this case, we chose a very creative name, newdata). After the colon, the mount path inside the container is specified. Now, you can write data to this path, for example:
echo "Cloud" > /data/cloud
Data written this way can easily be found at the mount path.
As seen in the example above, the volume name is not arbitrary — it matches the name we provided using -v. However, Docker Volumes also allow for randomly generated names, which are always unique to each host. If you’re assigning names manually, make sure they are also unique.
Now, run the command:
docker volume ls
If the volume appears in the list, it means any number of other containers can use it. To test this, you can run:
docker run -it --rm -v newdata:/data busybox
Then write something to the volume. Next, start another container using the exact same command and you’ll see that the data is still there and accessible — meaning it can be reused.
Docker Volumes in Practice
Now let’s take a look at how Docker Volumes can be used in practice. Suppose we're developing an application to collect specific types of data — let’s say football statistics. We gather this data and plan to use it later for analysis — for example, to assess players’ transfer market values or for betting predictions. Let’s call our application FootballStats.
Preserving Data After Container Removal
Obviously, if we don’t use Docker Volumes, all the collected statistics will simply be lost as soon as the container that stored them is destroyed. Therefore, we need to store the data in volumes so it can be reused later. To do this, we use the familiar -v option:
-v footballstats:/dir/footballstats
This will allow us to store match statistics in the /dir/footballstats directory, on top of all container layers.
Sharing Data
Suppose the FootballStats container has already gathered a certain amount of data, and now it's time to analyze it. For instance, we might want to find out how a particular team performed in the latest national championship or how a specific player did — goals, assists, cards, etc.
To do this, we can mount our volume into a new container, which we’ll call FootballStats-Analytics. The key advantage of this setup is that the new container can read the data without interfering with the original FootballStats container’s ongoing data collection. At the same time, analysis of the incoming data can be performed using defined parameters and algorithms.
This information can be stored anywhere, either in the existing volume or a new one, if needed.
Other Types of Mounts
In addition to standard volumes, Docker Volumes also supports other types of mounts designed to solve specialized tasks:
Bind Mount
Bind mounts are used to attach an existing path on the host to a container. This is useful for including configuration files, datasets, or static assets from websites. To specify directories for mounting into the container, use the --mount option with the syntax <host path>:<container path>.
Tmpfs Mount
Tmpfs mounts serve the opposite purpose of regular Docker Volumes — they do not persist data after the container is destroyed. This can be useful for developers who perform extensive logging. In such cases, continuously writing temporary data to disk can significantly degrade system performance. The --tmpfs option creates temporary in-memory directories, avoiding constant access to the file system.
Drivers
Docker Volume Drivers are a powerful tool that enable flexible volume management. They allow you to specify various storage options, the most important being the storage location — which can be local or remote, even outside the physical or virtual infrastructure of the provider. This ensures that data can survive not only the destruction of the container but even the shutdown of the host itself.
Conclusion
So, we’ve learned how to create and manage storage using Docker Volumes. For more information on how to modify container storage in Docker, refer to the platform’s official documentation.
09 June 2025 · 6 min to read
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