Docker Introduction
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Docker is a technology that uses lightweight containers to package applications and their dependencies in a standardized way. This allows applications to be easily deployed across different environments without changes to the installation procedure. Docker simplifies DevOps tasks by enabling a "build once, ship anywhere" model through standardized environments and images. Key benefits include faster deployments, increased utilization of resources, and easier integration with continuous delivery and cloud platforms.
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Docker introduction & benefits
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
Docker allows building, shipping, and running applications in portable containers. It packages an application with all its dependencies into a standardized unit for software development. Major cloud providers and companies support and use Docker in production. Containers are more lightweight and efficient than virtual machines, providing faster launch times and allowing thousands to run simultaneously on the same server. Docker simplifies distributing applications and ensures a consistent environment.
Docker introduction
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.
Docker introduction for the beginners
1. Docker allows creating lightweight virtual environments called containers that package code and dependencies together. Containers are more portable than virtual machines.
2. Docker uses images to build containers. Images are immutable templates and containers are instances of images that can be run. The Dockerfile defines how to build images.
3. Common Docker commands include docker pull to download images, docker run to create and start containers, docker exec to run commands in running containers, and docker commit to save container changes as new images.
Docker 101 : Introduction to Docker and Containers
This document provides an introduction to Docker and containers. It discusses why containers are useful for software deployment given changes in the industry. Containers provide lightweight isolation of applications and their dependencies. Docker is a tool that manages containers running on the same operating system kernel. Key Docker components include the client, server, images, and containers. Popular use cases of Docker include Google running over a billion containers per week and Finnish Railways saving 50% of cloud costs with Docker.
Docker Introduction
Introduction to Docker presented by MANAOUIL Karim at the Shellmates's Hack.INI event. The teams deployed were assisted to deploy a Python Flask application behind an Nginx load balancer.
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Docker introduction & benefits
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
Docker allows building, shipping, and running applications in portable containers. It packages an application with all its dependencies into a standardized unit for software development. Major cloud providers and companies support and use Docker in production. Containers are more lightweight and efficient than virtual machines, providing faster launch times and allowing thousands to run simultaneously on the same server. Docker simplifies distributing applications and ensures a consistent environment.
Docker introduction
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.
Docker introduction for the beginners
1. Docker allows creating lightweight virtual environments called containers that package code and dependencies together. Containers are more portable than virtual machines.
2. Docker uses images to build containers. Images are immutable templates and containers are instances of images that can be run. The Dockerfile defines how to build images.
3. Common Docker commands include docker pull to download images, docker run to create and start containers, docker exec to run commands in running containers, and docker commit to save container changes as new images.
Docker 101 : Introduction to Docker and Containers
This document provides an introduction to Docker and containers. It discusses why containers are useful for software deployment given changes in the industry. Containers provide lightweight isolation of applications and their dependencies. Docker is a tool that manages containers running on the same operating system kernel. Key Docker components include the client, server, images, and containers. Popular use cases of Docker include Google running over a billion containers per week and Finnish Railways saving 50% of cloud costs with Docker.
Docker Introduction
Introduction to Docker presented by MANAOUIL Karim at the Shellmates's Hack.INI event. The teams deployed were assisted to deploy a Python Flask application behind an Nginx load balancer.
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Docker introduction, how it helps in environment setup from development to production and within teams. Also some practical work.
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Docker vs VM | | Containerization or Virtualization - The Differences | DevOp...
** Edureka DevOps Training : https://www.edureka.co/devops **
This Edureka Video on Docker vs VM (Virtual Machine) video compares the Major Differences between Docker and VM. Below are the topics covered in the video:
1. What is Virtual Machine?
2. Benefits of Virtual Machine
3. What are Docker Containers
4. Benefits of Docker Containers
5. Docker vs VM – Main Differences
6. Use Case
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Docker Basics
This document discusses containers, virtual machines, and Docker. It provides an overview of containers and how they differ from virtual machines by sharing the host operating system kernel and making more efficient use of system resources. The document then covers Docker specifically, explaining that Docker uses containerization to package applications and dependencies into standardized units called containers. It also provides examples of Docker commands to build custom images and run containers.
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This document provides an introduction to Docker including Docker vocabulary, architecture, file systems, networking, volumes, registry services like Docker Hub, and clustering technologies like Docker Swarm, Kubernetes and Mesos. It also covers setting up a local Docker environment, building Docker images with Dockerfiles, running containers, and deploying containers on AWS EC2 Container Service.
Introduction to docker
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.
Docker 101: An Introduction
This document provides an introduction to Docker presented by Tibor Vass, a core maintainer on Docker Engine. It outlines challenges with traditional application deployment and argues that Docker addresses these by providing lightweight containers that package code and dependencies. The key Docker concepts of images, containers, builds and Compose are introduced. Images are read-only templates for containers which sandbox applications. Builds describe how to assemble images with Dockerfiles. Compose allows defining multi-container applications. The document concludes by describing how Docker improves the deployment workflow by allowing testing and deployment of the same images across environments.
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Docker allows applications to be packaged with all their dependencies and run consistently across computing environments. It provides isolation, security and portability for applications. This document discusses setting up an Eh Avatar application to run in Docker containers for Postgres, Redis and the application itself. It covers bringing up the dependency containers, building a custom Docker image for the application, and using Docker Compose to define and run the multi-container application. While this provides an introduction, there is still more to learn about optimizing Docker usage and avoiding common pitfalls.
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This document provides an introduction and overview of Docker and containers. It discusses what containers are, how they differ from virtual machines, and how Docker works. Key points covered include common Docker commands, the Docker architecture, building images with Dockerfiles, and using Docker Compose to run multi-container applications. The benefits of containers for streamlining deployment and rapid scaling are also highlighted.
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Docker Introduction
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.
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Below DevOps tools are explained in this Docker Container presentation:
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2. The architecture of Docker?
3. What is a Docker Container?
4. How to create a Docker Container?
5. Benefits of Docker Containers
6. Basic commands of Containers
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
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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.
Docker intro
Docker allows users to package applications with all their dependencies into standardized units called containers that can run on any Linux server. Containers are more lightweight than virtual machines because they share the host operating system and only require the additional libraries and binaries needed to run the application rather than a full guest operating system. Docker uses containers and an image format to deploy applications in a consistent manner across development, testing, and production. The document provides examples of how to define a Dockerfile to build an image, run containers from images using docker-compose, and common Docker commands.
Introduction to container based virtualization with docker
This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.
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This Edureka Video on Docker vs VM (Virtual Machine) video compares the Major Differences between Docker and VM. Below are the topics covered in the video:
1. What is Virtual Machine?
2. Benefits of Virtual Machine
3. What are Docker Containers
4. Benefits of Docker Containers
5. Docker vs VM – Main Differences
6. Use Case
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Docker Basics
This document discusses containers, virtual machines, and Docker. It provides an overview of containers and how they differ from virtual machines by sharing the host operating system kernel and making more efficient use of system resources. The document then covers Docker specifically, explaining that Docker uses containerization to package applications and dependencies into standardized units called containers. It also provides examples of Docker commands to build custom images and run containers.
Introduction to Docker
This document provides an introduction to Docker including Docker vocabulary, architecture, file systems, networking, volumes, registry services like Docker Hub, and clustering technologies like Docker Swarm, Kubernetes and Mesos. It also covers setting up a local Docker environment, building Docker images with Dockerfiles, running containers, and deploying containers on AWS EC2 Container Service.
Introduction to docker
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.
Docker 101: An Introduction
This document provides an introduction to Docker presented by Tibor Vass, a core maintainer on Docker Engine. It outlines challenges with traditional application deployment and argues that Docker addresses these by providing lightweight containers that package code and dependencies. The key Docker concepts of images, containers, builds and Compose are introduced. Images are read-only templates for containers which sandbox applications. Builds describe how to assemble images with Dockerfiles. Compose allows defining multi-container applications. The document concludes by describing how Docker improves the deployment workflow by allowing testing and deployment of the same images across environments.
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In this presentation we take you through the concept of virtualization which includes the different types of virtualizations, understanding the Docker as a software containerization platform like Docker's Architecture, Building and running custom images in Docker containers, Scalable container management services which include overview of Amazon ECS & kubernetes and how at LimeTray we harnessed the power of kubernetes for scalable automated deployment of our microservices.
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Getting Started with Docker session done for FOSS - Sri Lanka
Session Video - https://youtu.be/v-T7kxsYgkI
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Docker is an open source containerization platform that allows applications to be easily deployed and run across various operating systems and cloud environments. It allows applications and their dependencies to be packaged into standardized executable units called containers that can be run anywhere. Containers are more portable and provide better isolation than virtual machines, making them useful for microservices architecture, continuous integration/deployment, and cloud-native applications.
Introduction to Docker
Docker allows applications to be packaged with all their dependencies and run consistently across computing environments. It provides isolation, security and portability for applications. This document discusses setting up an Eh Avatar application to run in Docker containers for Postgres, Redis and the application itself. It covers bringing up the dependency containers, building a custom Docker image for the application, and using Docker Compose to define and run the multi-container application. While this provides an introduction, there is still more to learn about optimizing Docker usage and avoiding common pitfalls.
Docker.pptx
This document provides an introduction and overview of Docker and containers. It discusses what containers are, how they differ from virtual machines, and how Docker works. Key points covered include common Docker commands, the Docker architecture, building images with Dockerfiles, and using Docker Compose to run multi-container applications. The benefits of containers for streamlining deployment and rapid scaling are also highlighted.
Intro to containerization
This document outlines the curriculum for an introduction to containerization presentation. It includes slides and hands-on exercises on installing Docker, building Docker images, running containers, viewing processes inside containers, and experimenting with resource isolation using cgroups and namespaces. Attendees will build a Docker image for a sample Flask application, run the container, view logs and processes, and push the image to Docker Hub. The presentation covers definitions of key containerization concepts and the benefits of using containers.
Docker Introduction
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.
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Below DevOps tools are explained in this Docker Container presentation:
1. What is Docker?
2. The architecture of Docker?
3. What is a Docker Container?
4. How to create a Docker Container?
5. Benefits of Docker Containers
6. Basic commands of Containers
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Docker introduction
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.
Docker intro
Docker allows users to package applications with all their dependencies into standardized units called containers that can run on any Linux server. Containers are more lightweight than virtual machines because they share the host operating system and only require the additional libraries and binaries needed to run the application rather than a full guest operating system. Docker uses containers and an image format to deploy applications in a consistent manner across development, testing, and production. The document provides examples of how to define a Dockerfile to build an image, run containers from images using docker-compose, and common Docker commands.
Introduction to container based virtualization with docker
This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.
Docker and kubernetes
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
Docker introduction (1)
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.
presentation on Docker
Docker is an open platform for developing, shipping, and running distributed applications. It allows applications to be shipped and run in lightweight containers that can run on any Linux server. Docker uses operating-system-level virtualization and cgroups isolation to deliver lightweight containers quickly. Key features of Docker include portability, lightweight containers that share resources and isolate processes, and automated workflows.
Docker 101 - Nov 2016
Containers are not virtual machines - they have fundamentally different architectures and benefits. Docker allows users to build, ship, and run applications inside containers. It provides tools and a platform to manage the lifecycle of containerized applications, from development to production. Containers use layers and copy-on-write to provide efficient application isolation and delivery.
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Docker Introduction
- 2. Classic Deployments Several environments Dev Test QA Production Common problems: Environments not equal to each other (OS, hardware, software versions) Resources not utilized Different installation procedures for each environment www.sparkbit.pl
- 3. Docker Overview • Lightweight containers • Share OS with host (only user space is separate) • Can be started in seconds • One container = one application • One system can be built with many containers • Stateless containers • Storage containers • Can be wired together by using docker-compose www.sparkbit.pl
- 4. Docker Architecture • Docker container is an application with all of its dependencies • Compared to traditional VM: • No Hypervisor • No Guest OS • Containers are isolated www.sparkbit.pl
- 5. Docker Dictionary • Image – read only snapshot used to build a container • Container – runtime environment built using an image • Dockerfile – recipe on how to create an image • Registry – public or private service for storing images • DockerHub https://hub.docker.com/ - official public registry, like GitHub for docker images www.sparkbit.pl
- 6. Dockerfile • Sample app: https://github.com/tkopczynski/spring-boot-docker • Application should be run by a single command • Application should run on linux • Dockerfile: FROM java:8 # Define base image ADD target/spring-boot-docker.jar spring-boot-docker.jar # Copy application into the image CMD java –jar /spring-boot-docker.jar # Execute application www.sparkbit.pl
- 7. Predefined Images • DockerHub offers predefined images with many well-known applications • docker run -–name mysql –e MYSQL_ROOT_PASSWORD=root –d –p 3306:3306 mysql • mysql –u root –p –H 127.0.0.1 –P 3306 • docker run –-name solr –d –p 8983:8983 –t solr • http://localhost:8983 • And many, many more... www.sparkbit.pl
- 8. Docker Use Cases • Integration with continuous delivery process • Automatically building images and pushing them to the registry • Standardized environments • Application doesn’t require anything outside of the container so it is always executed in the same environment • Microservices architecture • Manage all microservices as docker images regardless of their technologies and dependencies • Scaling • It is possible to automatically spin up new containers during traffic volume peaks www.sparkbit.pl
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- 10. Docker in Continuous Delivery www.sparkbit.pl
- 11. Docker in The Cloud • Some of the providers: • Amazon EC2 Container Service • Google Container Engine (based on Kubernetes) • Tutum • Docker VM Extension in Azure www.sparkbit.pl
- 12. Summary • Docker is a technology aimed at simplifying DevOps tasks • Build once, ship and run anywhere principle • Lightweight containers • Easily integrated with continuous delivery process and cloud infrastructure www.sparkbit.pl