Introduction to Docker I Docker Workshop @ Twitter
•
1 like•834 views
Docker is a software platform that allows applications to run in isolated containers. Containers use layers and images to package up code and dependencies to enable portable deployment between computing infrastructures. Docker containers build upon the idea of operating-system-level virtualization to deliver software in packages called containers that include everything needed to run the application.
Report
Share
Report
Share
Download to read offline
Recommended
Docker: From Zero to Hero
Docker introduction, how it helps in environment setup from development to production and within teams. Also some practical work.
Introduction to Docker - Docker workshop @Twitter
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Docker architecture-04-1
The document discusses the architecture of Docker, including its core components like Docker Engine, Docker Hub, Docker Machine, Docker Compose, Kitematic, Docker Swarm, and Docker Registry. Docker Engine runs on Linux to build and run containers. Docker Hub is a hosted registry service for managing images. Docker Machine sets up Docker Engine on computers and in data centers. Docker Compose defines multi-container applications in a single file. Kitematic provides a GUI for building and running containers. Docker Swarm turns Docker engines into a clustered virtual engine. Docker Registry stores and distributes Docker images.
Docker 101 - Getting started
Docker 101 is a series of workshops that aims to help developers (or interested people) to get started with docker.
The workshop 101 is were the audience has the first contact with docker, from installation to manage multiple containers.
- Installing docker
- managing images (docker rmi, docker pull)
- basic commands (docker info, docker ps, docker images, docker run, docker commit, docker inspect, docker exec, docker diff, docker stop, docker start)
- Docker registry
- container life cycle (running, paused, stopped, restarted)
- Dockerfile
Introduction to docker
This document provides an introduction and overview of Docker. It discusses why Docker is useful for isolation, simplicity, and workflow. It also covers the Docker platform, including the Docker engine, images, containers, and networking. Key components are the Docker daemon, Docker CLI, and Docker Hub registry. Demos are provided on installing Docker and using Docker for building images, running containers with volumes, and configuring Docker networking.
Docker get started
Docker allows packaging applications and dependencies into standardized images for development and distribution. Images act as templates for lightweight containers that share resources and isolate processes. Containers provide scalability, portability across operating systems, and use of common components. Example uses include creating reusable development environments, deploying scalable systems from images, and distributing applications through containers.
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.
Containerization and Docker
Gives a brief introduction of the emerging containerization technology, the difference in traditional VMs and Conatiners and the most popular one- Docker
Recommended
Docker: From Zero to Hero
Docker introduction, how it helps in environment setup from development to production and within teams. Also some practical work.
Introduction to Docker - Docker workshop @Twitter
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Docker architecture-04-1
The document discusses the architecture of Docker, including its core components like Docker Engine, Docker Hub, Docker Machine, Docker Compose, Kitematic, Docker Swarm, and Docker Registry. Docker Engine runs on Linux to build and run containers. Docker Hub is a hosted registry service for managing images. Docker Machine sets up Docker Engine on computers and in data centers. Docker Compose defines multi-container applications in a single file. Kitematic provides a GUI for building and running containers. Docker Swarm turns Docker engines into a clustered virtual engine. Docker Registry stores and distributes Docker images.
Docker 101 - Getting started
Docker 101 is a series of workshops that aims to help developers (or interested people) to get started with docker.
The workshop 101 is were the audience has the first contact with docker, from installation to manage multiple containers.
- Installing docker
- managing images (docker rmi, docker pull)
- basic commands (docker info, docker ps, docker images, docker run, docker commit, docker inspect, docker exec, docker diff, docker stop, docker start)
- Docker registry
- container life cycle (running, paused, stopped, restarted)
- Dockerfile
Introduction to docker
This document provides an introduction and overview of Docker. It discusses why Docker is useful for isolation, simplicity, and workflow. It also covers the Docker platform, including the Docker engine, images, containers, and networking. Key components are the Docker daemon, Docker CLI, and Docker Hub registry. Demos are provided on installing Docker and using Docker for building images, running containers with volumes, and configuring Docker networking.
Docker get started
Docker allows packaging applications and dependencies into standardized images for development and distribution. Images act as templates for lightweight containers that share resources and isolate processes. Containers provide scalability, portability across operating systems, and use of common components. Example uses include creating reusable development environments, deploying scalable systems from images, and distributing applications through containers.
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.
Containerization and Docker
Gives a brief introduction of the emerging containerization technology, the difference in traditional VMs and Conatiners and the most popular one- Docker
DockerCon SF 2015: Getting Started w/ Docker
This document provides an overview of Docker including why Docker is useful, how the Docker platform works, and common Docker workflows. It discusses Docker's isolation, lightweight virtualization, simplicity, community support, and installation process. Key Docker concepts covered include images, containers, the Docker Engine, Docker Hub, and using volumes. The document demonstrates common Docker commands and workflows like building, running, and sharing images.
Getting started with Docker
Getting Started with Docker session done for FOSS - Sri Lanka
Session Video - https://youtu.be/v-T7kxsYgkI
Introduction to docker
This document provides an introduction and agenda for Docker. It defines Docker as a tool for packaging applications into lightweight containers that can run on any infrastructure. It discusses how Docker containers are portable like shipping containers. It also compares containers to virtual machines and outlines Docker's history and growth since its release in 2013. The document notes that Docker can run on various Linux distributions, clouds, and that Microsoft plans to integrate it with Windows Server.
Docker
Docker provides tools for building and running containerized applications. The Docker Engine manages Docker objects like images, containers, networks and volumes. Docker Desktop is for Mac/Windows and includes Docker Engine and other tools. Docker Compose defines multi-container apps. Docker Hub is a public registry and Docker Swarm manages clusters of Docker Engines.
Docker 101: Introduction to Docker
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
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.
Docker Basic Presentation
This is a basic presentation for Docker which is a software platform that allows you to build, test, and deploy applications quickly using containers
Docker Basics
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 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 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.
Docker Introduction
Docker is a system for running applications securely isolated in a container to provide a consistent deployment environment. The document introduces Docker, discusses the challenges of deploying applications ("the matrix from hell"), and how Docker addresses these challenges by allowing applications and their dependencies to be packaged into lightweight executable containers that can run on any infrastructure. It also summarizes key Docker tools like Docker Compose for defining and running multi-container apps, Docker Machine for provisioning remote Docker hosts in various clouds, and Docker Swarm for clustering Docker hosts.
Docker for the new Era: Introducing Docker,its components and tools
This document provides an overview of Docker, including:
- Docker enables building applications from components and eliminates friction between development, QA and production environments.
- Other container options include LXC, LXD and OpenVZ, but Docker has gained popularity for its ease of use.
- Docker components include images, containers, registries, and more.
- Docker Hub and Quay.io are popular registries for finding and sharing Docker images.
- Docker Swarm and Docker Compose allow orchestrating multiple Docker containers.
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 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.
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.
DCA. certificate slide Session 1
DCA. certificate slide
Docker Certifications validate technical knowledge with an industry-recognized credential. Our certifications recognize technical skills on the Docker platform.
Q: How do I become Certified?
You must earn a passing score via a proctored exam to earn a Docker Certification. Upon receiving a passing score, you will receive your certification credentials.
While the Docker Certified Associate certification is designed for enterprise practitioners leveraging the Docker Enterprise Edition (EE) platform in production you will find that many of the topics covered in this foundational certification are also applicable to the freely available Docker Community Edition (CE) due to it's similarity to Docker EE Basic Familiarity with Docker CE is certainly a strong asset and would contribute towards an individual's success on the exam. You can find more information about exactly what topics are covered on the exam in the Study Guide.
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 Presentation at the OpenStack Austin Meetup | 2013-09-12
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
Introduction to Docker and all things containers, Docker Meetup at RelateIQ
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
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.
Cost Control Across Cloud, On-Premise and VM Computers by Mark Lavi, Calm.io
Anecdotal numbers suggest that more than 40% compute resources are under utilized -- from unused cloud instances to virtual machines running on bare-metal. Hundreds of QA & Dev nodes to thousands of production instances could be shutdown, and brought back to the same state on demand. That's what cloud is about -- agility and efficiency, but our on-premise datacenter habits have migrated to the cloud as well.
Calm's DevOps automation platform helps fix our old habits. Calm provides a single pane of glass across cloud and on-premise, integrating with Chef, Puppet and Docker ecosystems. The single pane of glass enables orchestration, cost-control and on-demand provisioning.
DockerCon 16 - Moby's Cool Hack Session
This document recaps DockerCon and encourages meetups to share DockerCon experiences locally. It thanks sponsors and announces a one-month Docker 1.12 hackathon with prizes for contributions and bug fixes. It celebrates unlocking a Docker scholarship fund for underrepresented groups in tech through community participation and bumping at DockerCon.
More Related Content
What's hot
DockerCon SF 2015: Getting Started w/ Docker
This document provides an overview of Docker including why Docker is useful, how the Docker platform works, and common Docker workflows. It discusses Docker's isolation, lightweight virtualization, simplicity, community support, and installation process. Key Docker concepts covered include images, containers, the Docker Engine, Docker Hub, and using volumes. The document demonstrates common Docker commands and workflows like building, running, and sharing images.
Getting started with Docker
Getting Started with Docker session done for FOSS - Sri Lanka
Session Video - https://youtu.be/v-T7kxsYgkI
Introduction to docker
This document provides an introduction and agenda for Docker. It defines Docker as a tool for packaging applications into lightweight containers that can run on any infrastructure. It discusses how Docker containers are portable like shipping containers. It also compares containers to virtual machines and outlines Docker's history and growth since its release in 2013. The document notes that Docker can run on various Linux distributions, clouds, and that Microsoft plans to integrate it with Windows Server.
Docker
Docker provides tools for building and running containerized applications. The Docker Engine manages Docker objects like images, containers, networks and volumes. Docker Desktop is for Mac/Windows and includes Docker Engine and other tools. Docker Compose defines multi-container apps. Docker Hub is a public registry and Docker Swarm manages clusters of Docker Engines.
Docker 101: Introduction to Docker
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
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.
Docker Basic Presentation
This is a basic presentation for Docker which is a software platform that allows you to build, test, and deploy applications quickly using containers
Docker Basics
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 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 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.
Docker Introduction
Docker is a system for running applications securely isolated in a container to provide a consistent deployment environment. The document introduces Docker, discusses the challenges of deploying applications ("the matrix from hell"), and how Docker addresses these challenges by allowing applications and their dependencies to be packaged into lightweight executable containers that can run on any infrastructure. It also summarizes key Docker tools like Docker Compose for defining and running multi-container apps, Docker Machine for provisioning remote Docker hosts in various clouds, and Docker Swarm for clustering Docker hosts.
Docker for the new Era: Introducing Docker,its components and tools
This document provides an overview of Docker, including:
- Docker enables building applications from components and eliminates friction between development, QA and production environments.
- Other container options include LXC, LXD and OpenVZ, but Docker has gained popularity for its ease of use.
- Docker components include images, containers, registries, and more.
- Docker Hub and Quay.io are popular registries for finding and sharing Docker images.
- Docker Swarm and Docker Compose allow orchestrating multiple Docker containers.
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 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.
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.
DCA. certificate slide Session 1
DCA. certificate slide
Docker Certifications validate technical knowledge with an industry-recognized credential. Our certifications recognize technical skills on the Docker platform.
Q: How do I become Certified?
You must earn a passing score via a proctored exam to earn a Docker Certification. Upon receiving a passing score, you will receive your certification credentials.
While the Docker Certified Associate certification is designed for enterprise practitioners leveraging the Docker Enterprise Edition (EE) platform in production you will find that many of the topics covered in this foundational certification are also applicable to the freely available Docker Community Edition (CE) due to it's similarity to Docker EE Basic Familiarity with Docker CE is certainly a strong asset and would contribute towards an individual's success on the exam. You can find more information about exactly what topics are covered on the exam in the Study Guide.
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 Presentation at the OpenStack Austin Meetup | 2013-09-12
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
Introduction to Docker and all things containers, Docker Meetup at RelateIQ
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
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.
What's hot (20)
Introduction to container based virtualization with docker
Introduction to container based virtualization with docker
Docker for the new Era: Introducing Docker,its components and tools
Docker for the new Era: Introducing Docker,its components and tools
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Introduction to Docker and all things containers, Docker Meetup at RelateIQ
Introduction to Docker and all things containers, Docker Meetup at RelateIQ
Viewers also liked
Cost Control Across Cloud, On-Premise and VM Computers by Mark Lavi, Calm.io
Anecdotal numbers suggest that more than 40% compute resources are under utilized -- from unused cloud instances to virtual machines running on bare-metal. Hundreds of QA & Dev nodes to thousands of production instances could be shutdown, and brought back to the same state on demand. That's what cloud is about -- agility and efficiency, but our on-premise datacenter habits have migrated to the cloud as well.
Calm's DevOps automation platform helps fix our old habits. Calm provides a single pane of glass across cloud and on-premise, integrating with Chef, Puppet and Docker ecosystems. The single pane of glass enables orchestration, cost-control and on-demand provisioning.
DockerCon 16 - Moby's Cool Hack Session
This document recaps DockerCon and encourages meetups to share DockerCon experiences locally. It thanks sponsors and announces a one-month Docker 1.12 hackathon with prizes for contributions and bug fixes. It celebrates unlocking a Docker scholarship fund for underrepresented groups in tech through community participation and bumping at DockerCon.
DockerCon14 Contributing to Docker by Tianon
This document provides information on various ways to contribute to the Docker project, including contributing code via pull requests, helping with documentation, testing, triaging issues, and more. It discusses the large number of existing contributors and files in the Docker codebase. The document encourages submitting pull requests and offers tips for doing so, such as keeping PRs small and easy to review, writing tests, and discussing significant proposed changes first on IRC. It also introduces tools like Gordon that can help with code reviews and maintenance.
Dockerizing WordPress
This document provides step-by-step instructions for dockerizing a WordPress installation. It describes downloading Docker, creating a Dockerfile to install Apache, MySQL, PHP and WordPress, building a Docker image from the Dockerfile, running the image as a container and configuring WordPress. The summary commits the container changes to an image, tags it, and pushes it to the Docker registry so others can use it.
Contribute and Collaborate 101
Slides from Vincent Batts' Talk at DockerCon SF 2015
Description: Gain inspiration and confidence to contribute in a mutually beneficial way. To become more than just a consumer of the ecosystem, develop the project yourself and profit your singular initiative. Whether you are looking for enterprise ready solutions, to make development life easier, or you’d like to see certain new features, making contributions to the greater community with a public spirit ensures the continued growth and health of the Docker project. Through personal stories of acceptance and concessions, I will share practical tips and lessons learned as a regular open source contributor and particularly involved Docker collaborator.
DockerCon EU 2015: Sparebank; a journey towards Docker
Sparebank 1 bank wanted to break up its monolithic application architecture into microservices. It first used virtual machines for development environments but found Docker provided better portability and efficiency. The bank has been adopting Docker for all of its applications and services, bringing benefits like easier deployment and management. It sees Docker as key to its future application development and infrastructure.
DockerCon SF 2015: MomOps in DevOps w/ Mukta Aphale
This document discusses challenges women face in pursuing DevOps careers and balancing motherhood. It notes that only 4% of DevOps professionals and 14% of DevOps teams are women. Women in tech on average make 26% less than men. The document advocates for more women in DevOps, noting diverse teams generate better ideas and women influence most purchasing decisions. It provides tips for women to balance DevOps and motherhood, such as prioritizing tasks, getting help, automating processes, and networking for support. The overall message is that motherhood and DevOps are compatible with efficient time management and setting a good example for children.
Experiences with AWS immutable deploys and job processing
How Docker is used at Gilt: At Gilt we use Docker primarily as a unit of immutability and to allow a standard way of deploying all kinds of software as opposed to its container properties.
Why Gilt built Ionroller: An overview of the problems we tried to solve with Ionroller and immutable deploys. Pitfalls we've encountered with immutable deployments since Ionroller saw adoption in Gilt. Will cover issues such as DNS traffic migration, utilisation of resources ELBs not warmed up properly, Elasticbeanstalk using Nginx as proxy etc. Our experiences with Cloudformation and Codedeploy as an alternative to Ionroller and Elasticbeanstalk.
Jobs: How we used to do batch jobs. Solutions we considered such as Mesos and Chronos. An overview of Sundial, an in house solution we built in the last few months and hope to open source for running containerized Docker jobs on Amazon ECS and why we chose it as our preferred solution.
Docker Online Meetup #3: Docker in Production
Jérôme Petazzoni discussed using Docker in production environments. He covered installing Docker on development machines and servers, building Docker images with Dockerfiles, distributing images through Docker Hub or private registries, using links or ambassador containers for service discovery, and orchestrating containers with tools like Kubernetes, Mesos, or configuration management systems. He also addressed logging, backups, and remote access of containers for sysadmin tasks.
20 mins to Faking the DevOps Unicorn by Matt williams, Datadog
Something changed in job ads over the last few years: everyone wants the DevOps Unicorn. What is that and why did this happen? You probably have a good amount of what is in that description, but is there an easy way to fill in the rest of the 100%? It turns out that it is possible to fake your way to being a DevOps Unicorn. All that you need is a way to know which metrics are the most important. And to know that you need a framework that applies everywhere. No really, it's easier than you think. There is some work needed on your part, but just a few minutes is enough to get started. In this 20 minute session, we will cover what changed in the market, what the framework looks like, and how to apply it to all of the containerized applications you need to monitor.
Mobycraft - Docker in 8-bit by Aditya Gupta
Mobycraft is a Minecraft client-side mod to manage and visualize Docker containers in Minecraft. This mod can be installed in any standard Minecraft client and allow young kids to learn Docker fundamentals in a fun way. It allowed a 13-year old boy to apply his Minecraft modding skills to pick up Docker concepts such as Engine, Machine, Swarm, and Remote API.
This project became a great bonding experience between a father and a son. It allowed them to engage in fun and geeky conversations, such as code reviews and tooling discussion, and thereby building memories for a lifetime.
DockerCon SF 2015: DHE/DTR
Docker Trusted Registry is a private registry for Docker images that provides key features like role-based access control, audit logs, and storage drivers. It has a modular architecture with components like registry servers, load balancers, and authentication servers. It can be deployed on any infrastructure and supports integration with directory services. Docker Trusted Registry comes in different editions for teams of various sizes and needs and pricing starts from free to $150 per month depending on the edition.
How to Successfully Build a Local Docker Community by Mathias Renner
A community is one of the key components of an open source software project. The success of an open source project like Docker is highly dependent on a large and active community. The speakers will share their experience of how to successfully build a local community by the example of how they raised a Docker community at their University (Univ. of Bamberg, Germany). They summon their best practices as a result of the mistakes they made, illustrated by story telling.
This is a talk from me as a student, which is an underrepresented group at DockerCon.
DockerCon SF 2015: How to talk to humans
Slides from Sharon Steed's talk at DockerCon SF 2015
Talk Description: Developers are trained to communicate to things with a goal in mind. When you're talking to a computer, you type in your code and it responds by giving you back what you want. Simple and straight forward. When talking to people? Not always the case. Why? Because talking to people requires a special set of skills - namely, empathy and a little bit of storytelling. In an industry filled with brilliant minds, great ideas and mass disruption, so few of the best and brightest know how to tell their compelling story. This talk teaches you how.
Interoperable Containers
The document discusses interoperable containers and how developers, PaaS providers, and Docker have different needs from containers. It covers topics like unprivileged containers using user namespaces, building container images in layers, and using buildpacks to build application source into a base container image to define how to run the app. The last section recaps how containers have revolutionized deploying and running applications.
DockerCon SF 2015: Orchestration for Devs (machine + compose)
This document discusses Docker Machine and Docker Compose. Docker Machine allows provisioning and management of Docker hosts on various cloud providers and virtualization systems. Docker Compose defines and runs multi-container applications using a YAML file. The latest versions of both tools feature improved performance, stability, and configuration options as well as experimental features like smart container recreation in Compose. Demostrations of Docker Machine and Compose are provided.
Building Images from dockerfiles
The document describes how to build Docker images from Dockerfiles. It explains the main Dockerfile instructions like FROM, MAINTAINER, ADD, ENV, RUN, CMD, ENTRYPOINT, EXPOSE and VOLUME and provides an example Dockerfile to build a MongoDB image. The Dockerfile specifies the base image, copies configuration files, installs MongoDB, sets the entrypoint and exposes ports. Images built from this Dockerfile can then be run as Docker containers with data volumes mounted.
Docker, Innovation Accelerator
Sailabove is a container as a service offering from OVH Group that provides features like private registries, networks, volumes, load balancing, and log/metric collection. It is used internally by OVH for their code engine and microservices and allows customers to deploy custom code in containers for processing IoT sensor data and building IoT platforms as a service with on-demand resources. Sailabove is part of OVH's focus on containers and leverages their experience with Docker and containers internally over the past few years.
DockerCon 2015: Docker Engine Breakout Session
The document summarizes a Docker Engine breakout session that covered:
- An overview of Docker Engine, including key facts about its contributors and development.
- New features in Docker Engine 1.7.0, including an experimental binary, a new networking model, and improved network performance.
- Upcoming priorities like better tooling, security enhancements, and improved management of networks and volumes.
A demo was also planned to showcase Docker Engine capabilities.
Docker Plugin for Heat II
This document discusses Docker plugin for Heat, which allows orchestrating Docker containers with OpenStack Heat templates. It describes how to install the Docker plugin for Heat, provides an example Heat template to launch a WordPress and MySQL stack, and points to the GitHub project page for more information. Users can deploy Docker containers instead of virtual machines through Heat and leverage the full Docker API through Heat templates.
Viewers also liked (20)
Cost Control Across Cloud, On-Premise and VM Computers by Mark Lavi, Calm.io
Cost Control Across Cloud, On-Premise and VM Computers by Mark Lavi, Calm.io
DockerCon EU 2015: Sparebank; a journey towards Docker
DockerCon EU 2015: Sparebank; a journey towards Docker
DockerCon SF 2015: MomOps in DevOps w/ Mukta Aphale
DockerCon SF 2015: MomOps in DevOps w/ Mukta Aphale
Experiences with AWS immutable deploys and job processing
Experiences with AWS immutable deploys and job processing
20 mins to Faking the DevOps Unicorn by Matt williams, Datadog
20 mins to Faking the DevOps Unicorn by Matt williams, Datadog
How to Successfully Build a Local Docker Community by Mathias Renner
How to Successfully Build a Local Docker Community by Mathias Renner
DockerCon SF 2015: Orchestration for Devs (machine + compose)
DockerCon SF 2015: Orchestration for Devs (machine + compose)
More from Docker, Inc.
Containerize Your Game Server for the Best Multiplayer Experience
Raymond Arifianto, AccelByte and
Mark Mandel, Google -
We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.
How to Improve Your Image Builds Using Advance Docker Build
Nicholas Dille, Haufe-Lexware + Docker Captain -
Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.
Build & Deploy Multi-Container Applications to AWS
Lukonde Mwila, Entelect -
As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud.
In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics:
- Docker Compose
- Containerizing an Nginx Server
- Containerizing an React App
- Containerizing an Node.JS App
- Containerizing anMongoDB App
- Runing Multi-Container App Locally
- Creating a CI/CD Pipeline
- Adding a build stage to test containers and push images to Docker Hub
- Deploying Multi-Container App to AWS Elastic Beanstalk
Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking.
After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.
Securing Your Containerized Applications with NGINX
The document summarizes Kevin Jones' presentation on securing containerized applications with NGINX. It discusses the benefits of using a reverse proxy for security, NGINX best practices for TLS configuration, and deploying NGINX in Docker containers. It also provides code examples and configurations for setting up NGINX as a reverse proxy, optimizing TLS, and using NGINX as a sidecar proxy.
How To Build and Run Node Apps with Docker and Compose
Kathleen Juell, Digital Ocean -
Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself.
This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.
Hands-on Helm
Jessica Deen, Microsoft -
Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.
Distributed Deep Learning with Docker at Salesforce
Jeff Hajewski, Salesforce -
There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.
The First 10M Pulls: Building The Official Curl Image for Docker Hub
James Fuller, webcomposite s.r.o. -
Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.
Monitoring in a Microservices World
Fabian Stäber, Instana -
In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
Clemente Biondo, Engineering Ingegneria Informatica -
When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.
Predicting Space Weather with Docker
The document discusses how NOAA's Space Weather Prediction Center transitioned from a monolithic architecture to microservices using Docker. It describes how they started with a small verification project, then replaced their critical GOES satellite data source. This improved developers' morale and delivery speed. They encountered some security issues initially but learned from them. The transition was very successful and allowed them to quickly expand their mission to forecast aviation impacts using scientists' models packaged as Docker services.
Become a Docker Power User With Microsoft Visual Studio Code
Brian Christner, 56k + Docker Captain -
In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.
How to Use Mirroring and Caching to Optimize your Container Registry
Brandon Mitchell, Boxboat + Docker Captain -
How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.
Monolithic to Microservices + Docker = SDLC on Steroids!
Ashish Sharma, SS&C Eze -
SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.
Kubernetes at Datadog Scale
Kubernetes networking can be complex to scale due to issues like growing iptables rules, but newer solutions are helping. Pod networking uses CNI plugins like flannel or Calico to assign each pod an IP and allow communication. Service networking uses kube-proxy and iptables or IPVS for load balancing to pods. DNS is used to resolve service names to IPs. While Kubernetes networking brings flexibility, operators must learn the nuances of their specific CNI plugin and issues can arise, but the ecosystem adapts quickly to new needs and changes don't impact all workloads.
Labels, Labels, Labels
Andy Clemenko, StackRox -
One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
Micro Focus uses Docker Hub at scale to support its software delivery and deployment model. Some key points:
- Docker Hub is used as the registry service for Micro Focus container images
- It allows for optimized, secure, reliable and cost-effective software delivery through deployments and updates of container images to customers and partners
- Micro Focus leverages features like private repositories, offline/online access, signing and scanning of images, and integration with CI/CD pipelines
- Over 1,650 organizations, 450 repositories, and 18 teams are used on Docker Hub to manage access and deliver software from Micro Focus
Build & Deploy Multi-Container Applications to AWS
Lukonde Mwila, Entelect
As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud.
In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics:
- Docker Compose
- Containerizing an Nginx Server
- Containerizing an React App
- Containerizing an Node.JS App
- Containerizing anMongoDB App
- Runing Multi-Container App Locally
- Creating a CI/CD Pipeline
- Adding a build stage to test containers and push images to Docker Hub
- Deploying Multi-Container App to AWS Elastic Beanstalk
Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking.
After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
Elton Stoneman, Docker Captain + Container Consultant and Trainer
How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least).
In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product.
There's a lot of technology here from a real world case study, and I'll focus on:
- running Windows apps in Docker containers
- building a .NET Core API which can run in Linux or Windows containers
- running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud
- configuring AKS workloads in Azure to burst out to Azure Container Instances
And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.
Developing with Docker for the Arm Architecture
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.
More from Docker, Inc. (20)
Containerize Your Game Server for the Best Multiplayer Experience
Containerize Your Game Server for the Best Multiplayer Experience
How to Improve Your Image Builds Using Advance Docker Build
How to Improve Your Image Builds Using Advance Docker Build
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
Securing Your Containerized Applications with NGINX
Securing Your Containerized Applications with NGINX
How To Build and Run Node Apps with Docker and Compose
How To Build and Run Node Apps with Docker and Compose
Distributed Deep Learning with Docker at Salesforce
Distributed Deep Learning with Docker at Salesforce
The First 10M Pulls: Building The Official Curl Image for Docker Hub
The First 10M Pulls: Building The Official Curl Image for Docker Hub
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
Become a Docker Power User With Microsoft Visual Studio Code
Become a Docker Power User With Microsoft Visual Studio Code
How to Use Mirroring and Caching to Optimize your Container Registry
How to Use Mirroring and Caching to Optimize your Container Registry
Monolithic to Microservices + Docker = SDLC on Steroids!
Monolithic to Microservices + Docker = SDLC on Steroids!
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
Introduction to Docker I Docker Workshop @ Twitter
- 2. Contents • About dotCloud Inc. Now Docker Inc. • Why Containers • What Containers are
- 6. How it works • Layers • Images / Filesystems • Containers • Registry