Docker is the world’s leading software container platform. It was launched in 2013 by a company called Dotcloud, Inc which was later renamed Docker, Inc. It is written in the Go language. Docker is a platform for developing, shipping, and running container applications.

Curious about Containers?

Containerization is OS-based virtualization that creates multiple virtual units in the userspace, known as Containers.They are lightweight, portable, and self-sufficient environments that can run on any infrastructure. They allow developers to package an application and its dependencies together, making it easy to move the application between development, testing, and production environments.

Why should you choose Docker?

Application isolation and consistency: Docker containers provide a consistent environment for applications to run, regardless of the underlying infrastructure.
Microservices architecture: Docker containers are used to build and deploy microservices-based applications. Microservices are a way of structuring applications as a collection of small, loosely-coupled services that can be developed, deployed, and scaled independently.
Continuous Integration and Deployment (CI/CD): Docker can be used to automate the building, testing, and deployment of applications. This makes it easy to implement a continuous integration and deployment pipeline, which can speed up the development process and reduce the risk of errors.
Cloud and virtualization: Docker can deploy applications in cloud and virtualized environments, making it easier to scale and manage resources.
Development and testing: Docker can create development and test environments that match production, which can help reduce bugs and compatibility issues.

‍Cost savings: Docker allows you to use fewer resources than virtual machines for running multiple applications on the same machine, which can lead to cost savings.

Make your team proficient in

Understanding the need for containerization and Docker
Comparison between Docker containers and Virtual Machines
Docker images: A Docker image is a lightweight, portable, and self-sufficient package that contains everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings.
Docker containers: A Docker container is a running instance of a Docker image. Containers provide a consistent environment for applications, regardless of the underlying infrastructure.
Docker Networking: Docker provides a built-in networking system that allows containers to communicate with each other and the host.
Docker Volumes: Docker volumes are a way to store data outside of a container's file system, which allows data to persist even if the container is deleted.
Building Docker images via Dockerfile: A Dockerfile is a script that contains instructions for building a Docker image. It specifies the base image, the software to be installed, and any configuration changes that need to be made.
Docker Hub: Docker Hub is a cloud-based registry service for storing and sharing Docker images. It allows developers to easily share and discover images and automate applications' building, shipping and running.
Docker Compose: Docker Compose is a tool for defining and running multi-container applications. It allows developers to use a YAML file to configure the services that make up an application and then start, stop, and manage those services with a single command.
Docker Swarm: Docker Swarm is a native clustering and orchestration solution for Docker. It allows you to create and manage a swarm of Docker nodes as a single virtual system.
Security: Docker provides several security features that can be used to secure the host and container environment, such as user namespaces, seccomp profiles and AppArmor profiles.
Best practices: There are several best practices to follow when using Docker, such as keeping images minimal, using official images, and configuring resource constraints.
Docker Logging: Docker provides several options for logging, such as logging to the host's filesystem, to a remote syslog server, or a logging driver like Fluentd, Logstash, or JSON-file.
Docker in production: Docker in a production environment requires additional considerations such as monitoring, scaling, backup, and security.

Understanding the need for containerization and Docker
Comparison between Docker containers and Virtual Machines
Docker images: A Docker image is a lightweight, portable, and self-sufficient package that contains everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings.
Docker containers: A Docker container is a running instance of a Docker image. Containers provide a consistent environment for applications, regardless of the underlying infrastructure.
Docker Networking: Docker provides a built-in networking system that allows containers to communicate with each other and the host.
Docker Volumes: Docker volumes are a way to store data outside of a container's file system, which allows data to persist even if the container is deleted.
Building Docker images via Dockerfile: A Dockerfile is a script that contains instructions for building a Docker image. It specifies the base image, the software to be installed, and any configuration changes that need to be made.
Docker Hub: Docker Hub is a cloud-based registry service for storing and sharing Docker images. It allows developers to easily share and discover images and automate applications' building, shipping and running.
Docker Compose: Docker Compose is a tool for defining and running multi-container applications. It allows developers to use a YAML file to configure the services that make up an application and then start, stop, and manage those services with a single command.
Docker Swarm: Docker Swarm is a native clustering and orchestration solution for Docker. It allows you to create and manage a swarm of Docker nodes as a single virtual system.
Security: Docker provides several security features that can be used to secure the host and container environment, such as user namespaces, seccomp profiles and AppArmor profiles.
Best practices: There are several best practices to follow when using Docker, such as keeping images minimal, using official images, and configuring resource constraints.
Docker Logging: Docker provides several options for logging, such as logging to the host's filesystem, to a remote syslog server, or a logging driver like Fluentd, Logstash, or JSON-file.
Docker in production: Docker in a production environment requires additional considerations such as monitoring, scaling, backup, and security.