Intro to Docker November 2013

This document provides an introduction to Docker and discusses: - The challenges of managing applications across different environments which Docker aims to solve through lightweight containers. - An overview of Docker concepts including images, containers, the Docker workflow and networking. - How Docker Compose allows defining and running multi-container applications and Docker Swarm enables orchestrating containers across a cluster. - The open container ecosystem including the Open Container Initiative for standardization.

High level overview of Docker + Birthday #3 overview (app and challenge portion)! Learn more about Docker Birthday #3 celebrations here: https://www.docker.com/community/docker-birthday-3

Docker allows you to package applications with their dependencies into standardized units called containers that can run on any Linux server. Containers are more portable and efficient than virtual machines, starting in milliseconds and using less disk space. Docker makes it easy to deploy and run applications without having to rebuild environments and guarantees that an application will run the same regardless of the infrastructure it is running on.

Docker is an open platform for developing, shipping, and running applications. It allows packaging applications into standardized units for software called containers that can run on any infrastructure. The key components of Docker include images, containers, a client-server architecture using Docker Engine, and registries for storing images. Images act as templates for creating containers, which are run-time instances of images. Docker provides portability and isolation of applications using containers.

This document provides an overview and agenda for a Docker networking deep dive presentation. The presentation covers key concepts in Docker networking including libnetwork, the Container Networking Model (CNM), multi-host networking capabilities, service discovery, load balancing, and new features in Docker 1.12 like routing mesh and secured control/data planes. The agenda demonstrates Docker networking use cases like default bridge networks, user-defined bridge networks, and overlay networks. It also covers networking drivers, Docker 1.12 swarm mode networking functionality, and how concepts like routing mesh and load balancing work.

- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel. - Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images. - The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.

The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.

Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance. An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.

Those are the slides that were used to give an introduction to Kubernetes at the Nardoz Berlin Meetup on the 2018-06-28.

Docker allows for easy deployment and management of applications by wrapping them in containers. It provides benefits like running multiple isolated environments on a single server, easily moving applications between environments, and ensuring consistency across environments. The document discusses using Docker for development, production, and monitoring containers, and outlines specific benefits like reducing deployment time from days to minutes, optimizing hardware usage, reducing transfer sizes, and enhancing productivity. Future plans mentioned include using Kubernetes for container orchestration.

Docker is a tool that allows users to package applications into containers to run on Linux servers. Containers provide isolation and resource sharing benefits compared to virtual machines. Docker simplifies deployment of containers by adding images, repositories and version control. Popular components include Dockerfiles to build images, Docker Hub for sharing images, and Docker Compose for defining multi-container apps. Docker has gained widespread adoption due to reducing complexity of managing containers across development and operations teams.

The document summarizes a talk given at the Linux Plumbers Conference 2014 about Docker and the Linux kernel. It discusses what Docker is, how it uses kernel features like namespaces and cgroups, its different storage drivers and their issues, kernel requirements, and how Docker and kernel developers can collaborate to test and improve the kernel and Docker software.

Swarm in a nutshell • Exposes several Docker Engines as a single virtual Engine • Serves the standard Docker API • Extremely easy to get started • Batteries included but swappable

Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.

- The document introduces Docker, explaining that it provides standardization for packaging software applications and dependencies to make them portable and help transition from monolithic to microservices architectures. - Docker uses operating system-level virtualization rather than hardware virtualization, allowing containers to start quickly while remaining isolated and using fewer resources than virtual machines. - The document covers Docker concepts like images, containers, and registries, and provides examples of common Docker commands for pulling images, running containers, and managing the Docker workflow of building, shipping, and running applications.

This document provides an overview of Kubernetes including: 1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications. 2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager. 3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.

This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points: - Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important. - Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability. - Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.

Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.

This document provides an introduction and overview of Docker. It discusses why Docker was created to address issues with managing applications across different environments, and how Docker uses lightweight containers to package and run applications. It also summarizes the growth and adoption of Docker in its first 7 months, and outlines some of its core features and the Docker ecosystem including integration with DevOps tools and public clouds.

This document provides an introduction and overview of Docker, including its rapid growth and adoption, key benefits for developers and operations teams, technical underpinnings, ecosystem support, use cases, and future plans. Docker provides a way to package applications into lightweight containers that are portable and can run on any infrastructure. It solves issues around dependency management and consistency across environments.

This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard.