Sign In
Sign In

The OSI Model: A Complete Beginner’s Guide

The OSI Model: A Complete Beginner’s Guide
Hostman Team
Technical writer
Infrastructure

When studying how computer networks work, sooner or later you will encounter the so-called OSI open network model. The OSI model is crucial for understanding network technologies, and it often presents unexpected challenges for beginners.

In this article, we’ll go over the basic principles of the OSI model and will try to provide an “OSI model for dummies” kind of guide.

The Concept of a Protocol

Communication protocols (or simply protocols) are necessary so that participants in information exchange can understand each other. A wide variety of protocols are involved in the operation of computer networks, relating to different network layers. For example, a computer's network controller follows a protocol that describes how to convert digital data into an analog signal transmitted over wires. A browser connects to a website using the TCP transport protocol, and a server and a browser communicate using the HTTP protocol.

In other words, a protocol is a set of agreements between software and hardware developers. It describes how programs and devices interact with other programs and devices that support the protocol.

OSI

OSI stands for Open Systems Interconnection. It does not refer to Open Source; in this context, "open systems" are systems built on open (publicly available) specifications that conform to established standards.

You will often come across the term "Open Systems Interconnection (OSI) Reference Model." The reference model outlines the layers a network should have and the functions performed at each layer. The OSI model divides all protocols into the following seven layers:

  • Physical
  • Data Link
  • Network
  • Transport
  • Session
  • Presentation
  • Application

The OSI model does not include descriptions of the protocols themselves; these are defined in separate standards. 

Today, the OSI model is not much used in practice. In the past, there were literal implementations with exactly seven layers, but over time, they were replaced by the less prescriptive TCP/IP protocol suite, which underpins the modern Internet.

Nevertheless, the protocols in use today roughly correspond to the OSI layers, and the model is still used as a common language for describing how networks work.

Physical Layer

All layers are numbered, starting from the one closest to the data transmission medium. In this case, the first layer of the OSI model is the physical layer. This is where bits of information are converted into signals that are then transmitted through the medium. The physical protocol used depends on how the computer is connected to the network.

For example, in a typical local area network (LAN) using twisted-pair cables, the 100BASE-TX specification (IEEE 802.3u standard) is employed. It defines the cables and connectors, wire characteristics, frequencies, voltage, encoding, and much more. Wi-Fi connections are more complex since data is transmitted over shared radio channels. The interaction of Wi-Fi devices is described by the IEEE 802.11 specification, which, like Ethernet, includes parts of both the physical and data link layers.

When accessing the Internet via a cellular network, GSM specifications are utilized, which include specialized protocols (such as GPRS) that affect not only the first two layers but also the network layer. There are also relatively simple protocols, such as RS232, which is used when connecting two computers via a null-modem cable through COM ports.

Data Link Layer

Next is the data link layer of the OSI model. At this layer, entire messages (frames) are transmitted instead of just bits. The data link layer receives a stream of bits from the physical layer, identifies the start and end of the message, and packages the bits into a frame. Error detection and correction also take place here. In multipoint network connections, where multiple computers use the same communication channel, the data link layer additionally provides physical addressing and access control to the shared transmission medium.

Some tasks theoretically handled by protocols at this layer are addressed in the Ethernet and Wi-Fi specifications; however, there is more. Network interfaces in multipoint connections recognize each other using special six-byte identifiers—MAC addresses. When configuring a network, network adapters must know which device is responsible for which network address (IP address) to send packets (blocks of data transmitted in a packet-switched mode) to their destinations correctly. The ARP (Address Resolution Protocol) is used to automatically build tables that map IP addresses to MAC addresses.

In point-to-point connections, ARP is not needed. However, the PPP (Point-to-Point Protocol) is often used. In addition to frame structure and integrity checks, PPP includes rules for establishing a connection, checking line status, and authenticating participants.

Network Layer

The next level is the network layer of the OSI model. It is designed to build large, composite networks based on various networking technologies. At this level, differences between different data link layer technologies are reconciled, and global addressing is provided, allowing each computer on the network to be uniquely identified. Routing is also performed here, determining the path for packet forwarding through intermediate nodes.

It’s sometimes said that in the Internet, the IP (Internet Protocol) functions as the network layer. This is true in a sense: IP defines the structure of individual packets transmitted through gateways, the system of network addresses, and some other functions. However, several other protocols can also be attributed to the network layer, even though they operate "on top" of the IP protocol.

One of the most important of these is the Internet Control Message Protocol (ICMP). It enables communication between network participants regarding various normal and abnormal conditions, including link failures, the absence of a suitable route, and other delivery issues. Sometimes, ICMP messages contain recommendations for using alternative routes.

Transport Layer

Packets transmitted over a network using network layer protocols are typically limited in size. They may arrive out of order, be lost, or even duplicated. Application programs require a higher level of service that ensures reliable data delivery and ease of use. This is precisely the role of transport layer protocols in the OSI model. They monitor packet delivery by sending and analyzing acknowledgments, numbering packets, and reordering them correctly upon arrival.

As mentioned earlier, network layer protocols do not guarantee packet delivery. A sent packet might be lost, duplicated, or arrive out of sequence. The content of such a packet is usually called a datagram.

One of the simplest transport protocols is the User Datagram Protocol (UDP). Participants in network communication running on the same computer are identified by integers called port numbers (or simply ports). The UDP protocol requires that the data sent over the network be accompanied by the sender’s and receiver’s port numbers, the length of the datagram, and its checksum. All of this is “wrapped” into a packet according to the IP protocol's conventions. However, the responsibility for acknowledgments, retransmissions, splitting information into smaller pieces, and reassembling it in the correct order falls on the software developer. Therefore, UDP does not protect against packet loss, duplication, or disorder — only the integrity of data within a single datagram is ensured.

There is also a second type of transport interaction — stream-based communication. Here, all issues related to packet loss and data reconstruction from fragments are handled by the transport protocol implementation itself, which makes it significantly more complex than datagram-based protocols. The corresponding transport protocol used on the Internet is TCP (Transmission Control Protocol). Unlike UDP, TCP stream communication requires establishing a connection. It guarantees that all bytes written to the stream will be available for reading on the other end and in the correct order. If this guarantee cannot be upheld, the connection will be terminated, and both parties will be informed.

The TCP protocol includes a number of sophisticated agreements, but fortunately, all of these are handled by the operating system.

The Remaining Layers

Identifying which real-world protocols correspond to the remaining three layers is somewhat more difficult. Following the transport layer comes the session layer. According to the creators of the OSI model, its purpose is to establish communication sessions. This includes managing the order of message transmission during dialogues (such as in video conferences), handling concurrent access to critical operations, and providing protection against connection loss (synchronization function).

The problem is that, in practice, all of these functions are either implemented by application-layer protocols or by even higher-level mechanisms that fall outside the scope of the OSI model. As a result, the session layer is not used in real networks.

The next layer is the presentation layer. Its task is to present data in a form that is understandable to both the sender and the receiver. This includes various data formats and interpretation rules, such as text encoding protocols (like ASCII, UTF-8, and KOI8-R), specifications for different versions of HTML/XHTML, image formats (JPEG, GIF, PNG), the MIME specification set, and others. This is also the layer where encryption and decryption are implemented. The most popular examples are TLS (Transport Layer Security) and SSL (Secure Sockets Layer).

The application layer is the most straightforward. It facilitates the interaction of user-facing applications. This includes email, the World Wide Web, social networks, video and audio communication, and so on.

Pros and Cons 

The OSI model was adopted by the International Organization for Standardization (ISO) in 1983, a time when networking technologies were rapidly developing. While the committee debated standards, the world gradually shifted to the TCP/IP stack, which began to displace other protocols. When the OSI protocol implementations were finally released, they were met with a wave of criticism. Critics pointed out their incompatibility with real technologies, incomplete specifications, and limited capabilities compared to existing protocols.

Additionally, experts considered the division into seven layers to be unjustified. Some layers were rarely used, and the same tasks were often handled at multiple different layers. Specialists joke that the OSI model ended up with seven layers because the committee had seven subcommittees, and each proposed its own addition. Meanwhile, the TCP/IP protocol suite, which underpins the entire modern Internet, was developed by a small group of people in an ad hoc fashion—solving problems as they arose, with no committees involved.

However, not everything is negative. A clear advantage of the OSI model is its strong theoretical foundation for network communication, making it a standard reference for documentation and education. Some believe that all is not lost and that the model may still find a role—for example, in cloud computing.

Infrastructure

Similar

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

Do you have questions,
comments, or concerns?

Our professionals are available to assist you at any moment,
whether you need help or are just unsure of where to start.
Email us
Hostman's Support