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Top Kubernetes Interview Questions and Answers
Infrastructure
22.05.2025
9 min read
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In today's tech landscape, the Kubernetes container orchestration platform is widely used across various projects. With its increasing popularity and widespread adoption, Kubernetes often comes up during interviews for certain IT roles, including DevOps, SRE, system administration, development, and operations. The questions can range from very simple ones about cluster components to more advanced topics like networking within the cluster and network policies. In this article, we’ll go over the top Kubernetes interview questions and provide detailed answers.
What is Kubernetes?
Kubernetes is an open-source platform for managing containerized applications. It enables the deployment, scaling, and management of containerized workloads and services.
List the Main Components of a Kubernetes Cluster
At the core of Kubernetes lies the Control Plane, which resides on the master node. The Control Plane includes the following components:
kube-api-server– The API server processes REST requests and serves as the "brain" of the cluster. All interactions, including object creation and deletion, go through the API server, which also manages communication between cluster components.etcd– A highly available key-value store that saves configuration data and cluster state. It can be deployed externally for improved fault tolerance. etcd is an independent project maintained by a separate team.kube-scheduler– The component responsible for determining which nodes will run which pods. It monitors available resources on each node to balance workload distribution.kube-controller-manager– Runs controllers that monitor resources and ensure the cluster matches the desired state by making necessary changes.kube-proxy– A network service that acts as a load balancer. It distributes network traffic between pods and runs on every node in the cluster.
What is a Pod in Kubernetes?
A Pod is the smallest deployable unit in Kubernetes and serves as an abstraction for running containers. A pod usually contains one or more containers, its own IP address, and data storage. Kubernetes doesn’t interact directly with containers, but rather through pods.
What is the difference between Deployment and StatefulSet?
Both Deployment and StatefulSet are Kubernetes objects for managing applications, but they serve different purposes.
Deployment:
- Used for managing stateless applications (e.g., web servers).
- Supports rolling updates for zero-downtime deployments.
- Pods are ephemeral with non-persistent names and IPs.
- No state persistence: when a pod is deleted, its data is lost.
StatefulSet:
- Designed for stateful applications (e.g., databases).
- Pods have stable, unique names and identifiers that persist across restarts.
- Supports Persistent Volumes to retain data between restarts.
- Pods are created and terminated in a specific order, one at a time.
In conclusion, data persistence is the main difference between a Deployment and a StatefulSet. Use Deployment if the application does not require state to be preserved. However, if the application needs to retain its state, then a StatefulSet is the appropriate choice.
What is a Service in Kubernetes, and What are the Types?
A Service in Kubernetes defines how to access a set of pods. It provides a stable IP and DNS name, allowing internal or external communication with pods.
Types of Services:
ClusterIP– The default type. Exposes the service on an internal IP, accessible only within the cluster.NodePort– Exposes the service on a specific port across all nodes. Allows external access via NodeIP:NodePort.LoadBalancer– Provisions an external load balancer (mainly in cloud environments) and assigns a public IP for external traffic distribution.ExternalName– Maps the service name to an external hostname or IP address using a DNS CNAME record. Works purely at the DNS level.
What is Ingress in Kubernetes?
Ingress is a Kubernetes object that defines rules for routing external HTTP/HTTPS traffic to internal services within the cluster. It enables fine-grained control over how traffic is handled and directed.
What is an Ingress Controller?
An Ingress Controller is a component that implements the Ingress rules. It typically consists of:
- A reverse proxy (e.g., Nginx, HAProxy)
- A controller that interacts with the Kubernetes API server to apply Ingress configuration and routing rules.
The controller watches for changes to Ingress objects and configures the reverse proxy accordingly to handle incoming traffic.
How to Store Sensitive Data (Secrets), Including Logins, Passwords, Tokens, and Keys?
Kubernetes provides the Secret object for storing sensitive information. There are six types of secrets:
- Opaque – A general-purpose secret type used to store any data.
- Service Account Token – Used to work with service accounts by generating a JWT token. Typically, the token is automatically created when a service account object is created.
- Basic Auth – Stores login and password in Base64-encoded format.
- SSH Auth – Used for SSH authentication. The secret contains a pre-generated private key.
- TLS Certificates – Involves using certificates and their private keys, provided in the manifest's
tls.crtandtls.keyfields (Base64-encoded). - Bootstrap Token – A special token type used to add new nodes to the Kubernetes cluster safely.
Secrets are usually injected into containers via volumeMount or secretKeyRef.
You can also use external secret management tools like HashiCorp Vault.
What Are Labels and Selectors, and What Are They Used For?
- Labels are key-value metadata that can be attached to any Kubernetes object. They help to identify attributes of objects that are not directly related to the running services but can provide useful information to users — for example, the purpose of a deployed application or the environment in which it will run. In other words, labels are intended to distinguish between different instances of objects.
- Selectors are used to filter or query objects based on their labels. A selector is a request to fetch objects that match specific label criteria.
What Are Probes in Kubernetes, What Types Exist, and What Are They Used For?
Probes in Kubernetes check the health and readiness of applications. There are three types:
- Liveness Probe: Checks whether a pod is running correctly. If the check fails, the pod is restarted automatically.
- Readiness Probe: Checks whether a pod is ready to receive network traffic. If it fails, the pod is excluded from load balancing, though it continues running.
- Startup Probe: Used for apps that take a long time to start. This probe checks the app's initial startup before liveness and readiness checks are activated.
What Is Pod Disruption Budget (PDB) and What Is It Used For?
Pod Disruption Budget is a Kubernetes feature used to ensure a minimum number of pods are available during voluntary disruptions (e.g., node maintenance or upgrades).
Example: If you have an application with 3 replicas that can tolerate the loss of 1 pod, then the PDB should specify that no more than 1 pod can be unavailable at any time. This prevents disruptions that would make the application non-functional.
How to Control Resource Usage in Containers?
Use requests and limits in your pod definitions:
- Requests define the minimum amount of CPU and memory required for a pod to be scheduled. If the cluster doesn't have enough resources, the pod won't be scheduled.
- Limits define the maximum amount of CPU and memory a pod can consume. The pod will be throttled or terminated if it exceeds these limits.
You can learn more about Kubernetes requests and limits in our article.
How to Expose an Application Running in Kubernetes to the External Network?
To provide external access to an application, you can use:
- Ingress Controller – A preferred method for managing HTTP/HTTPS access. It routes traffic to services based on defined rules.
- NodePort – Opens a specific port on all nodes for external access.
- LoadBalancer – Provisions an external IP through a cloud load balancer.
What Is the CNI Interface?
CNI (Container Network Interface) is a Kubernetes specification maintained by the Cloud Native Computing Foundation. It defines how network interfaces are managed in Linux containers. CNI is responsible for connecting pods to the network.
CNI features are implemented through plugins, with popular ones including:
- Calico
- Weave
- Flannel
- Cilium
What Is CRI?
CRI (Container Runtime Interface) is the primary communication interface between the kubelet component in a Kubernetes cluster and the container runtime environment. Using CRI, Kubernetes interacts with the container engine responsible for creating and managing containers (Kubernetes itself does not create containers directly).
Popular container runtimes that implement CRI include containerd and CRI-O.
What Is a Persistent Volume (PV)?
A Persistent Volume (PV) is a Kubernetes object used to store data persistently across pod lifecycles. Volumes in Kubernetes are implemented via plugins, and the platform supports the following types:
- Container Storage Interface (CSI)
- Fibre Channel (FC)
- hostPath
- iSCSI
- Local Storage
- Network File System (NFS)
What Is a Persistent Volume Claim (PVC)?
A Persistent Volume Claim (PVC) is a user request for storage resources. It allows users to claim a portion of a Persistent Volume based on parameters such as requested size and access mode. PVCs enable dynamic provisioning of storage in Kubernetes, meaning the cluster can automatically create a volume that matches the claim.
How to Assign Access Rights in a Kubernetes Cluster?
Kubernetes manages access control using RBAC (Role-Based Access Control). RBAC allows administrators to define who can do what within the cluster using the following entities:
- Role – Defines a set of permissions within a specific namespace.
- RoleBinding – Assigns a Role to a user or group within a namespace.
- ClusterRole – Grants permissions across the entire cluster (not limited to a single namespace).
- ClusterRoleBinding – Binds a ClusterRole to users or groups across all namespaces.
- ServiceAccount – An identity used by Kubernetes workloads (pods) to interact with the API.
Conclusion
In this article, we covered a list of common interview questions that candidates might encounter when applying for IT roles involving Kubernetes. These questions span a range of foundational and advanced topics, including architecture, security, networking, and storage in Kubernetes.
Infrastructure
22.05.2025
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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