Docker is a pioneering open-source platform that, through the innovative use of containerization technology, enables the encapsulation of applications along with all their dependencies, libraries, tools, and configuration settings within lightweight, independent, and highly portable units known as “containers.”
Containers have transformed modern software deployment by making applications faster, lighter, and more portable than traditional virtual machines. This article explains why containers emerged, how they differ from virtual machines, and the role Docker played in making them accessible to everyone.
Docker sits at the center of the modern container ecosystem, but its success depends on open standards and community-driven projects working behind the scenes. This article explains the history of Docker, Inc., how the Docker platform works, and the role of the OCI, CNCF, and the Moby Project in shaping container technology.
There are several ways to get Docker running on your machine, from the full-featured Docker Desktop to lightweight VM-based and native Linux installations. This article walks through the main installation options and how to verify Docker is working correctly.
The Docker Engine is a modular system built from small, specialized components rather than one giant program. This article breaks down how containerd, runc, and shims work together to create and run containers, and how the Open Container Initiative shaped this architecture.
A Docker image is a read-only package containing everything an application needs to run, built from stacked layers rather than a single file. This article covers how images work, how naming and tagging function, and why digests matter more than tags for reliability.
Containers are lightweight, run-time instances of images that behave very differently from virtual machines, even though both aim to isolate and run applications. This article compares the two models and walks through starting, inspecting, debugging, and applying restart policies to containers with Docker.
Turning application source code into a runnable container image follows a consistent five-step process in Docker. This article walks through writing a Dockerfile, building an image, pushing it to a registry, and running it as a container, using a simple Node.js app as the example.
Large container images mean slower deployments and a bigger attack surface. This article explains how multi-stage builds keep production images lean, and how Buildx and BuildKit make it possible to build images for multiple CPU architectures at once.
Modern applications are often built from multiple connected services rather than a single container, which makes manual deployment complex and error-prone. This article explains how Docker Compose uses a simple YAML file to define, deploy, and manage multi-container applications with a single command.
Docker Model Runner lets AI models run directly on host hardware instead of inside containers, giving them fast access to GPUs while staying fully integrated with the Docker toolchain. This article covers how it works, how to pull and test models, and how to connect it to Compose-based chatbot apps.
WebAssembly (Wasm) is emerging as a lightweight alternative to traditional containers, and Docker now supports building, sharing, and running Wasm apps using familiar tools. This article walks through writing a simple Wasm app with Spin, containerizing it with Docker, and running it as a Wasm container.
Docker Swarm turns a group of Docker nodes into a secure, highly available cluster with built-in application orchestration. This article covers building a multi-node swarm, deploying a microservices app declaratively, and performing rolling updates without losing desired-state consistency.
