An introduction to Docker (Docker.io). Just a brief overview that describes a little of what Docker has to offer. The talk was hosted at kWantera HQ in Pittsburgh PA.
Docker is an open platform for building, shipping and running distributed applications. It allows developers to package applications into containers that have everything needed to run, including libraries and other dependencies, and ship them to any Docker-enabled infrastructure. Containers are more portable and provide better isolation than virtual machines, and allow applications to be deployed with minimal overhead or conflict. Docker uses containers, images and a Dockerfile to deploy and run applications reliably across any infrastructure.
Docker allows developers to package applications into containers that provide an isolated environment with all dependencies needed to run the application. Containers are more lightweight than virtual machines and allow multiple instances of an application to run simultaneously on a single machine. Users can create their own custom Docker images using Dockerfiles that contain build commands and configuration details. Docker enables fast, consistent development environments and gives teams more control over their technology stacks.
This document provides an overview of Docker, including installation instructions, what Docker is, how to set up a Docker repository, how to create a Dockerfile, and an example of running a Docker container. It discusses:
1. How to install Docker on Ubuntu, including uninstalling old versions and setting up the repository.
2. What Docker is and the basic concepts of images, containers, and repositories. Docker uses containers to efficiently run software packages and isolate their resources.
3. How to set up a Docker Hub repository to store and share images.
4. How a Dockerfile uses a domain specific language to automate building images with layers defined by commands like FROM, RUN, COPY, EN
The document discusses Docker containers and provides instructions for building and running Docker containers. It introduces common Docker concepts like images, containers, Dockerfiles and commands. It explains how to build an image using a Dockerfile, run a container from an image, and lists some important Docker commands like docker pull, docker build, docker run, docker ps. It also provides some best practices for Docker like running as non-root user, having one task per container, and only one foreground process.
Docker and containers - Presentation Slides by Priyadarshini AnandPRIYADARSHINI ANAND
The document provides an overview of Docker containers and how to get started with Docker. It discusses what containers are, how Docker works, the differences between containers and VMs, and how to use basic Docker commands. It also covers creating Docker images using Dockerfiles and provides examples of common Dockerfile commands.
This document discusses Docker Machine, a tool that allows managing Docker hosts on virtual hosts, cloud providers, or bare-metal servers. It provides commands for creating and connecting Docker hosts on platforms like VirtualBox, AWS, and Digital Ocean. The presentation demonstrates creating a Docker host, listing hosts, connecting to a host, deploying a sample application, and viewing running containers. It also covers commands for SSH access, file copying, upgrading hosts, and creating hosts on specific cloud providers.
Title: Introduction to Docker
Abstract:
During the year since it’s inception, Docker have changed our perception of the OS-level Virtualization also called Containers.
At this workshop we will introduce the concept of Linux containers in general and Docker specifically. We will guide the participants through a practical exercise that will include use of various Docker commands and a setting up a functional Wordpress/MySQL system running in two containers and communication with each other using Serf
Topics:
Docker Installation (in case is missing)
Boot2Docker
Docker commands
- basic commands
- different types of containers
- Dockerfiles
Serf
Wordpress Exercise
- setting up Serf cluster
- deploying MySQL
- deploying Wordpress and connecting to MySQL
Prerequisites:
Working installation of Docker
On Mac - https://docs.docker.com/installation/mac/
On Windows - https://docs.docker.com/installation/windows/
Other Platforms - https://docs.docker.com/installation/#installation
This document provides an introduction to Docker, including its history and architecture. It discusses how Docker uses containers as a way to package applications and their dependencies in a portable way. Containers allow applications to be isolated from other applications and share resources from the same host operating system. The document outlines Docker's workflow and how containers can be used across development, testing, and production environments. It provides examples of how Dockerfiles define containers and how Docker Compose can be used to run multi-container applications.
Docker is an open platform for building, shipping and running distributed applications. It allows developers to package applications into containers that have everything needed to run, including libraries and other dependencies, and ship them to any Docker-enabled infrastructure. Containers are more portable and provide better isolation than virtual machines, and allow applications to be deployed with minimal overhead or conflict. Docker uses containers, images and a Dockerfile to deploy and run applications reliably across any infrastructure.
Docker allows developers to package applications into containers that provide an isolated environment with all dependencies needed to run the application. Containers are more lightweight than virtual machines and allow multiple instances of an application to run simultaneously on a single machine. Users can create their own custom Docker images using Dockerfiles that contain build commands and configuration details. Docker enables fast, consistent development environments and gives teams more control over their technology stacks.
This document provides an overview of Docker, including installation instructions, what Docker is, how to set up a Docker repository, how to create a Dockerfile, and an example of running a Docker container. It discusses:
1. How to install Docker on Ubuntu, including uninstalling old versions and setting up the repository.
2. What Docker is and the basic concepts of images, containers, and repositories. Docker uses containers to efficiently run software packages and isolate their resources.
3. How to set up a Docker Hub repository to store and share images.
4. How a Dockerfile uses a domain specific language to automate building images with layers defined by commands like FROM, RUN, COPY, EN
The document discusses Docker containers and provides instructions for building and running Docker containers. It introduces common Docker concepts like images, containers, Dockerfiles and commands. It explains how to build an image using a Dockerfile, run a container from an image, and lists some important Docker commands like docker pull, docker build, docker run, docker ps. It also provides some best practices for Docker like running as non-root user, having one task per container, and only one foreground process.
Docker and containers - Presentation Slides by Priyadarshini AnandPRIYADARSHINI ANAND
The document provides an overview of Docker containers and how to get started with Docker. It discusses what containers are, how Docker works, the differences between containers and VMs, and how to use basic Docker commands. It also covers creating Docker images using Dockerfiles and provides examples of common Dockerfile commands.
This document discusses Docker Machine, a tool that allows managing Docker hosts on virtual hosts, cloud providers, or bare-metal servers. It provides commands for creating and connecting Docker hosts on platforms like VirtualBox, AWS, and Digital Ocean. The presentation demonstrates creating a Docker host, listing hosts, connecting to a host, deploying a sample application, and viewing running containers. It also covers commands for SSH access, file copying, upgrading hosts, and creating hosts on specific cloud providers.
Title: Introduction to Docker
Abstract:
During the year since it’s inception, Docker have changed our perception of the OS-level Virtualization also called Containers.
At this workshop we will introduce the concept of Linux containers in general and Docker specifically. We will guide the participants through a practical exercise that will include use of various Docker commands and a setting up a functional Wordpress/MySQL system running in two containers and communication with each other using Serf
Topics:
Docker Installation (in case is missing)
Boot2Docker
Docker commands
- basic commands
- different types of containers
- Dockerfiles
Serf
Wordpress Exercise
- setting up Serf cluster
- deploying MySQL
- deploying Wordpress and connecting to MySQL
Prerequisites:
Working installation of Docker
On Mac - https://docs.docker.com/installation/mac/
On Windows - https://docs.docker.com/installation/windows/
Other Platforms - https://docs.docker.com/installation/#installation
This document provides an introduction to Docker, including its history and architecture. It discusses how Docker uses containers as a way to package applications and their dependencies in a portable way. Containers allow applications to be isolated from other applications and share resources from the same host operating system. The document outlines Docker's workflow and how containers can be used across development, testing, and production environments. It provides examples of how Dockerfiles define containers and how Docker Compose can be used to run multi-container applications.
Docker Ecosystem: Part V - Docker RegistryMario IC
The document discusses Docker registry, which allows storing private Docker images. It demonstrates how to start a local Docker registry container, tag and push a local image to the private registry, and then pull it back. The registry can be configured using a config.yml file to specify storage settings and enable HTTPS. Docker Compose is also shown as another way to run the registry container with volumes and ports mapped.
Puppet Camp Chicago 2014: Docker and Puppet: 1+1=3 (Intermediate)Puppet
This document discusses Docker and Puppet and how they can be used together. It describes how Puppet can be used to install and configure Docker on a system and then how Dockerfiles can be used to build container images. However, it notes that using Puppet to build container images directly is not recommended and describes alternatives like using Puppet during the build process to configure "golden images" and then deploying them. It suggests approaches like running services externally to containers and using data containers to optimize container usage.
This document provides an overview of Docker terminology and hands-on Docker activities. It defines that layers in Docker are read-only file systems that images are built from, with images never changing. A Dockerfile automates building images by containing build commands. Hands-on steps demonstrate creating a container, committing it to an image, and using a Dockerfile to build an image running a Django app. The document also briefly explains using nsenter to debug containers.
When Docker ends, Chef begins ~ #idi2015 Incontro DevOps ItaliaGiovanni Toraldo
This document discusses Docker and Chef for container management. It begins with an introduction to Docker, describing how it allows packaging applications and dependencies to run unchanged on any system. Some rough edges of Docker are discussed, such as linking containers and complex configuration needs. The document then introduces Chef as a tool for configuration management and automation that can address Docker's rough edges. It provides examples of using Chef recipes and templates to manage Docker images, run containers, inject configurations, and deploy containers across multiple hosts. The document argues that Chef enables treating infrastructure as code and provides a standardized workflow for managing Docker containers at scale.
Docker is an open-source tool that allows users to package applications into standardized units called containers for development and deployment. Containers allow applications to be isolated while efficiently sharing resources on a single Linux host. Docker encourages microservices architecture and streamlines the development lifecycle from development to production by ensuring consistency across environments.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
Dockerfile Basics | Docker workshop #2 at twitter, 2013-11-05dotCloud
This document provides an overview of Dockerfile basics including common instructions like FROM, RUN, ENTRYPOINT, EXPOSE and USER. It explains that Dockerfiles define how to build images in a simple syntax. Key points covered include using FROM to set the base image, RUN to execute commands, and ENTRYPOINT to trigger commands when a container starts. The document concludes with an exercise to build a Memcached Dockerfile and test it.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
This document discusses Docker concepts and implementation in Chinese. It covers Linux kernel namespaces, seccomp, cgroups, LXC, and Docker. Namespaces isolate processes and resources between containers. Cgroups control resource limits and prioritization. LXC provides containerization tools while Docker builds on these concepts and provides an easy-to-use interface for containers. The document also provides examples of using namespaces, cgroups, LXC, and building Docker images.
In a talk intended for beginners who are already familiar with Bash and other Linux basics, I will demonstrate how Docker is a powerful tool to build, deploy and run applications. I'll introduce Docker container architecture for the uninitiated and focus on Docker for deploying Python code.
Presented Docker in 15 minutes with two of my classmates at school.
Presentation covering topics:
Virtualization
Virtual Machines
Container Technology (Docker)
Docker Compose
Docker Swarm
The demo can be found at:
https://github.com/DanishKhakwani/SimpleDockerDemo
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
Docker allows applications and their dependencies to be packaged into standardized units called containers that can run on any computing environment regardless of the underlying infrastructure. Containers leverage and share the host operating system's kernel to run as isolated processes, which improves performance and reduces overhead compared to virtual machines. Dockerfiles define the build instructions for container images, while Docker Compose allows defining and running multi-container applications with a single configuration file.
This document discusses using Docker and Jenkins for continuous integration. It provides an overview of Docker, which is a tool for packaging and running applications in containers. It also discusses Jenkins, an open-source automation server that supports continuous integration and delivery. The document then covers common Docker commands like pull, run, build and lists online resources for learning more about Docker and Jenkins.
- The document summarizes a meetup on Docker held in Paris on February 10, 2013. It provides an introduction to Docker including its origins at dotCloud, timeline of development, and basic functionality using Linux containers, control groups, and AUFS.
- The presentation covers installing Docker, basic commands like running "hello world" examples, managing containers vs images, and demonstrates a simple app deployment using Docker for local development and pushing changes to production.
- Questions from attendees are solicited at the end to discuss Docker further.
Dockerfile basics | docker workshop #1 at RackspacedotCloud
This document provides an introduction to Dockerfiles, which are used to automate the creation of Docker images. It explains key Dockerfile instructions like FROM, RUN, ENTRYPOINT, and EXPOSE. The document also provides an example Dockerfile for building a Memcached image and instructions for building and running the image.
To manage Docker images and containers, you can use the docker image ls, docker run, docker container ls, docker container stop, docker build, docker run -it, and docker push and docker pull commands. These commands allow you to list images and containers, run images as containers, stop containers, build images from Dockerfiles, run containers interactively, and push/pull images to/from Docker Hub.
Docker orchestration using core os and ansible - Ansible IL 2015Leonid Mirsky
The last couple of years have seen an increasing interest in Docker and related technologies. One of these technologies is CoreOS, a new operating system built from the ground up for running Docker containers at scale.
In this talk we will learn about CoreOS main concepts and tools. We will get our hands dirty as we work together toward a goal of running a CoreOS cluster on AWS (using Ansible) and running docker containers on it.
The talk will conclude with a discussion on the place of Ansible (and configuration management tools in general) in the "next-generation" stack.
Fleet is a distributed init system and service manager built on CoreOS. It allows deploying Docker containers across a cluster of machines and re-scheduling them if a machine fails. Fleet uses systemd unit files and properties to define services and leverage etcd for distributed coordination. It provides commands like fleetctl to manage services centrally and view cluster state. While Fleet makes container deployment easy with CoreOS, it provides limited options for server balancing and lacks a GUI.
This session is a part of the #TechieThursday initiative from Net-Square for the internal team. In this webinar, we discussed several introductory topics including:
The difference between containers and VMs
Defined key Docker terminology that beginners should familiarize themselves with Learned how to get started with docker with a hands-on demo
Running the Oracle SOA Suite Environment in a Docker ContainerGuido Schmutz
Running the Oracle SOA Suite Environment in a Docker Container
The document discusses running the Oracle SOA Suite environment in a Docker container. It begins with an introduction to Docker and its benefits over virtual machines. It then demonstrates various Docker commands like run, logs, images, ps to launch and manage containers. It also covers building custom images using Dockerfiles. The document provides examples to showcase common Docker tasks like committing changes to an image, pulling images, stopping and removing containers.
Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. This is a first introduction to Docker, Dockerfile and docker-compose with relative basic commands.
Docker Ecosystem: Part V - Docker RegistryMario IC
The document discusses Docker registry, which allows storing private Docker images. It demonstrates how to start a local Docker registry container, tag and push a local image to the private registry, and then pull it back. The registry can be configured using a config.yml file to specify storage settings and enable HTTPS. Docker Compose is also shown as another way to run the registry container with volumes and ports mapped.
Puppet Camp Chicago 2014: Docker and Puppet: 1+1=3 (Intermediate)Puppet
This document discusses Docker and Puppet and how they can be used together. It describes how Puppet can be used to install and configure Docker on a system and then how Dockerfiles can be used to build container images. However, it notes that using Puppet to build container images directly is not recommended and describes alternatives like using Puppet during the build process to configure "golden images" and then deploying them. It suggests approaches like running services externally to containers and using data containers to optimize container usage.
This document provides an overview of Docker terminology and hands-on Docker activities. It defines that layers in Docker are read-only file systems that images are built from, with images never changing. A Dockerfile automates building images by containing build commands. Hands-on steps demonstrate creating a container, committing it to an image, and using a Dockerfile to build an image running a Django app. The document also briefly explains using nsenter to debug containers.
When Docker ends, Chef begins ~ #idi2015 Incontro DevOps ItaliaGiovanni Toraldo
This document discusses Docker and Chef for container management. It begins with an introduction to Docker, describing how it allows packaging applications and dependencies to run unchanged on any system. Some rough edges of Docker are discussed, such as linking containers and complex configuration needs. The document then introduces Chef as a tool for configuration management and automation that can address Docker's rough edges. It provides examples of using Chef recipes and templates to manage Docker images, run containers, inject configurations, and deploy containers across multiple hosts. The document argues that Chef enables treating infrastructure as code and provides a standardized workflow for managing Docker containers at scale.
Docker is an open-source tool that allows users to package applications into standardized units called containers for development and deployment. Containers allow applications to be isolated while efficiently sharing resources on a single Linux host. Docker encourages microservices architecture and streamlines the development lifecycle from development to production by ensuring consistency across environments.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
Dockerfile Basics | Docker workshop #2 at twitter, 2013-11-05dotCloud
This document provides an overview of Dockerfile basics including common instructions like FROM, RUN, ENTRYPOINT, EXPOSE and USER. It explains that Dockerfiles define how to build images in a simple syntax. Key points covered include using FROM to set the base image, RUN to execute commands, and ENTRYPOINT to trigger commands when a container starts. The document concludes with an exercise to build a Memcached Dockerfile and test it.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
This document discusses Docker concepts and implementation in Chinese. It covers Linux kernel namespaces, seccomp, cgroups, LXC, and Docker. Namespaces isolate processes and resources between containers. Cgroups control resource limits and prioritization. LXC provides containerization tools while Docker builds on these concepts and provides an easy-to-use interface for containers. The document also provides examples of using namespaces, cgroups, LXC, and building Docker images.
In a talk intended for beginners who are already familiar with Bash and other Linux basics, I will demonstrate how Docker is a powerful tool to build, deploy and run applications. I'll introduce Docker container architecture for the uninitiated and focus on Docker for deploying Python code.
Presented Docker in 15 minutes with two of my classmates at school.
Presentation covering topics:
Virtualization
Virtual Machines
Container Technology (Docker)
Docker Compose
Docker Swarm
The demo can be found at:
https://github.com/DanishKhakwani/SimpleDockerDemo
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
Docker allows applications and their dependencies to be packaged into standardized units called containers that can run on any computing environment regardless of the underlying infrastructure. Containers leverage and share the host operating system's kernel to run as isolated processes, which improves performance and reduces overhead compared to virtual machines. Dockerfiles define the build instructions for container images, while Docker Compose allows defining and running multi-container applications with a single configuration file.
This document discusses using Docker and Jenkins for continuous integration. It provides an overview of Docker, which is a tool for packaging and running applications in containers. It also discusses Jenkins, an open-source automation server that supports continuous integration and delivery. The document then covers common Docker commands like pull, run, build and lists online resources for learning more about Docker and Jenkins.
- The document summarizes a meetup on Docker held in Paris on February 10, 2013. It provides an introduction to Docker including its origins at dotCloud, timeline of development, and basic functionality using Linux containers, control groups, and AUFS.
- The presentation covers installing Docker, basic commands like running "hello world" examples, managing containers vs images, and demonstrates a simple app deployment using Docker for local development and pushing changes to production.
- Questions from attendees are solicited at the end to discuss Docker further.
Dockerfile basics | docker workshop #1 at RackspacedotCloud
This document provides an introduction to Dockerfiles, which are used to automate the creation of Docker images. It explains key Dockerfile instructions like FROM, RUN, ENTRYPOINT, and EXPOSE. The document also provides an example Dockerfile for building a Memcached image and instructions for building and running the image.
To manage Docker images and containers, you can use the docker image ls, docker run, docker container ls, docker container stop, docker build, docker run -it, and docker push and docker pull commands. These commands allow you to list images and containers, run images as containers, stop containers, build images from Dockerfiles, run containers interactively, and push/pull images to/from Docker Hub.
Docker orchestration using core os and ansible - Ansible IL 2015Leonid Mirsky
The last couple of years have seen an increasing interest in Docker and related technologies. One of these technologies is CoreOS, a new operating system built from the ground up for running Docker containers at scale.
In this talk we will learn about CoreOS main concepts and tools. We will get our hands dirty as we work together toward a goal of running a CoreOS cluster on AWS (using Ansible) and running docker containers on it.
The talk will conclude with a discussion on the place of Ansible (and configuration management tools in general) in the "next-generation" stack.
Fleet is a distributed init system and service manager built on CoreOS. It allows deploying Docker containers across a cluster of machines and re-scheduling them if a machine fails. Fleet uses systemd unit files and properties to define services and leverage etcd for distributed coordination. It provides commands like fleetctl to manage services centrally and view cluster state. While Fleet makes container deployment easy with CoreOS, it provides limited options for server balancing and lacks a GUI.
This session is a part of the #TechieThursday initiative from Net-Square for the internal team. In this webinar, we discussed several introductory topics including:
The difference between containers and VMs
Defined key Docker terminology that beginners should familiarize themselves with Learned how to get started with docker with a hands-on demo
Running the Oracle SOA Suite Environment in a Docker ContainerGuido Schmutz
Running the Oracle SOA Suite Environment in a Docker Container
The document discusses running the Oracle SOA Suite environment in a Docker container. It begins with an introduction to Docker and its benefits over virtual machines. It then demonstrates various Docker commands like run, logs, images, ps to launch and manage containers. It also covers building custom images using Dockerfiles. The document provides examples to showcase common Docker tasks like committing changes to an image, pulling images, stopping and removing containers.
Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. This is a first introduction to Docker, Dockerfile and docker-compose with relative basic commands.
The document provides an agenda for a DevOps with Containers training over 4 days. Day 1 covers Docker commands and running containers. Day 2 focuses on Docker images, networks, and storage. Day 3 introduces Docker Compose. Day 4 is about Kubernetes container orchestration. The training covers key Docker and DevOps concepts through presentations, videos, labs, and reading materials.
Introduction to Docker, December 2014 "Tour de France" EditionJérôme Petazzoni
Docker, the Open Source container Engine, lets you build, ship and run, any app, anywhere.
This is the presentation which was shown in December 2014 for the "Tour de France" in Paris, Lille, Lyon, Nice...
This document provides instructions on installing Docker Engine on Ubuntu and describes common Docker commands. It discusses installing Docker on Ubuntu versions 18.04 LTS and higher using a convenience script. Common Docker commands covered include docker run to run a container, docker ps to list running containers, docker stop and docker start to stop and start containers, and docker rm to remove containers. The document also discusses Docker images, tags, volumes, environment variables, building custom Dockerfiles, and using Docker Compose to define and run multi-container apps.
Introduction to Docker - Learning containerization XP conference 2016XP Conference India
Docker containers package applications and their dependencies to run consistently regardless of environment. Containers are more lightweight than virtual machines and use fewer resources. Docker images define the components of containers. The Dockerfile defines how to build images. Docker Compose defines multi-container applications through a YAML file specifying images, networking, volumes etc.
This document discusses Docker, an open source project that automates the deployment of applications inside software containers. It begins by describing common problems in application deployment and how virtual machines address some issues but introduce overhead. It then summarizes the history and rapid growth of Docker since its launch in 2013. The rest of the document dives into technical aspects of Docker like how images and containers work, comparisons to virtual machines, security considerations, the Docker workflow, and how Docker relates to DevOps and continuous delivery practices.
This document introduces Docker containers and provides examples of using Docker for networking containers across virtual machines. It discusses setting up a GRE tunnel between two VMs to connect their Docker interfaces and allow containers running on different VMs to communicate. Specific commands are provided to configure the Docker and overlay networks on each VM, establish the GRE tunnel, and run a sample container to test the connectivity.
This document discusses Docker, including:
1. Docker is a platform for running and managing Linux containers that provides operating-system-level virtualization without the overhead of traditional virtual machines.
2. Key Docker concepts include images (immutable templates for containers), containers (running instances of images that have mutable state), and layers (the building blocks of images).
3. Publishing Docker images to registries allows them to be shared and reused across different systems. Volumes and networking allow containers to share filesystems and communicate.
This document discusses containerization and the Docker ecosystem. It provides a brief history of containerization technologies and an overview of Docker components like Docker Engine, Docker Hub, and Docker Inc. It also discusses developing with Docker through concepts like Dockerfiles, images, and Fig for running multi-container apps. More advanced topics covered include linking containers, volumes, Docker Machine for provisioning, and clustering with Swarm and Kubernetes.
Why everyone is excited about Docker (and you should too...) - Carlo Bonamic...Codemotion
In less than two years Docker went from first line of code to major Open Source project with contributions from all the big names in IT. Everyone is excited, but what's in for me - as a Dev or Ops? In short, Docker makes creating Development, Test and even Production environments an order of magnitude simpler, faster and completely portable across both local and cloud infrastructure. We will start from Docker main concepts: how to create a Linux Container from base images, run your application in it, and version your runtimes as you would with source code, and finish with a concrete example.
This document introduces Docker and containers. It discusses that Docker provides a way to easily deploy applications by using lightweight virtualization to isolate applications into containers. These containers can then be easily shared between systems. The document outlines what problem containers solve, provides an overview of how Docker works, and discusses how to author Docker images using Dockerfiles or by committing changes to containers. It also discusses the Docker community and ecosystem and Docker's long term roadmap to further simplify deployment of applications.
Docker is an amazing tool, but unless you work with it every day, you're probably left with a ton of questions. What's a container? What's an image? What's the difference between Docker, Machine, Compose, and Swarm? Why the heck should I care? Well, Docker makes it easier than ever to deploy and scale your applications and services. In addition, it lets you simulate your production environment on your local machine without heavy virtual machines. In this talk, we'll explore the basics of Docker, create a custom image for a web application, create a group of containers, and look at how you can put your apps into production on various cloud providers. At the end of the talk, you'll have the knowledge you need to put this to use with your own applications.
MIT Licensed - Reuse freely, but attribute "Hamilton Turner"
An introduction to the Docker container engine. Focuses on how to use Docker and implications of Docker for Cloud-based services. Shows multiple examples of rapidly starting complex environments using Docker. Very minor discussion on how Docker works technically.
Presentation source is available at https://github.com/hamiltont/intro-to-docker
Create a presentation on Docker with help of 5 group members which is presented by two members of our group at school. Presentation covering topics: Virtualization Virtual Machines Container Technology (Docker) Docker Compose Docker Swarm
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.
This document introduces Docker and discusses its benefits for hosting web applications. It explains that Docker provides an abstraction layer between applications and operating systems using containers, allowing applications to run consistently across different computing environments. Key points covered include:
- Docker images contain application code and dependencies to run consistently on any infrastructure.
- Containers are lightweight and decoupled from underlying infrastructure, providing efficient usage of resources.
- Composing systems with Docker Compose and orchestrating containers with Kubernetes allows scaling applications across multiple machines.
- Docker is open source but also a company, and many major companies support its use for development, testing, and production deployments in private data centers and public clouds.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
1. Docker 101
An Introduction to Containerizing Apps
Benjamin Schmidt
kWantera.com CTO
2. Agenda
● What is Docker?
● Using Docker
● What can you do with Docker?
● Examples
● Tech that extends Docker
3. Talk’s Purpose
● While simple, Docker is expansive in it’s
capabilities
● I’d like to cover enough so people can
understand the concepts
● I leave it to the docs and SO for becoming
“experts”
4. What is Docker?
“open platform … to build, ship and run
distributed applications”
Linux virtualization made easy (and light-weight)
5. A Container For Your App
● You’ve got code
● Docker is a self-contained, customizable
linux environment to run that code
● It is a virtual machine without the full OS
6. Origins (-ish)
● Linux containers (LXC) :: sort of like chroot
● Create a kernel separated environment for
security purposes
● Since it’s part of kernel = does not require a
full OS
● Can run multiple containers on same system
● Sprinkle in resource constraints
● Add a dash of environment scripting
7. Representation
You have an “App” you want
to run:
● Mongo server
● HTTP server
● Long-running script
● An ad-hoc backup script
image source: docker.io
9. Representation
Virtualization solved the
multiple-app / library
problem
● Still a single physical hardware server
image source: docker.io
Use Virtualization to
mirror the “physical”
hardware at OS level
10. Representation
Some inefficiencies pop-up
● Architecture duplication
● Setting up “fully systems”
=> Leads to resource waste
image source: docker.io
HEAVY copying &
redundancy
Potentially
redundant
11. Representation
Docker Solution
● There is only one running “full OS”
o You use a dedicated portion of kernel
resources
● Much lighter weight leads to:
o Easily cloneable containers
o Sharing system libraries versus program
libraries (i.e. a portion of the host kernel)
image source: docker.io
12. Terminology
● Container
o Runs your code using a specified environment
(Image) and the command you wish to execute in
that environment
● Image
o An environment complete with the type of OS and
any setup instructions for generating that
environment
13. Using Docker
● Docker has a pretty simple command line
API*
o run: converts images and commands into containers
o start/stop: starts or stops containers
o ps: inspect the available containers and their status
o images: list all available images (locally
downloaded)
o build: builds image (e.x from a Dockerfile)
*Other commands exist for more fine-grained control and inspection
14. At this point...
● I want to give a flavor for Docker usage
without all the details
o See the Docs for extensive coverage
o This is just a 101 course :)
15. Let’s start a docker container...
$ sudo docker run ubuntu:14.04 /bin/echo ‘Hello World’
Hello World
16. Let’s start a docker container...
Accesses LXC
under the hood
(needs root)
The type of
Image
Convert from
Image to
Container
The command to
run in that image
type
$ sudo docker run ubuntu:14.04 /bin/echo ‘Hello World’
Hello World
17. And if you wanted to test in multiple
OS’s...
$ sudo docker run ubuntu:14.04 /bin/echo ‘Hello World’
Hello World
$ sudo docker run ubuntu /bin/echo ‘Hello World’
Hello World
$ sudo docker run centos /bin/echo ‘Hello World’
Hello World
$ sudo docker run debian /bin/echo ‘Hello World’
Hello World
18. A few notes
● Program printed to STDOUT (the console)
● If you run `sudo docker ps` you won’t see
any currently running containers (it stopped)
● Running `sudo docker ps -a` will show a
stopped container
19. And if you want an interactive shell...
$ sudo docker run -t -i ubuntu:14.04 /bin/bash
root@ae23f43: |
-t = pseudo-tty
terminal
-i = interactive (STDIN is
piped into process)
20. And if you want an interactive shell...
$ sudo docker run -t -i ubuntu:14.04 /bin/bash
root@ae23f43: |
And to know you’re not in a full OS, try
`top`... only two processes
21. And throw a process into
background...
$ sudo docker run -d ubuntu /bin/sh -c "while true; do echo hello world; sleep 1;
done"
1e5535038e285177d5214659a068137486f96ee5c2e85a4ac52dc83f2ebe4147
-d = daemonize
leaving off :14.04 provides
the “latest” version
Returns the
container ID
22. Bind ports inside container to host...
$ sudo docker run -d -p 5000:5000 ubuntu python myserver.py
-p = port mapping.
(lower case)
Inside:Outside
23. Dockerfile
Create Images # Put this in a file called Dockerfile
FROM ubuntu
MAINTAINER Ben Schmidt <ben@example.com>
RUN apt-get update
$ cd ~/myserver
$ sudo docker build -t=”myimage” .
$ sudo docker run -i -it myimage /bin/bash
A Dockerfile in ~/myimage/
-t = Set the name of the
image
24. Things to be Aware of...
● Containers run in their own environment
o Files, ports, and host data must be “mapped” to the
container
o EXPOSE: exposes ports to host
o ADD: copies local host files into container
● Volumes allow exposure of host OS
filesystem to containers
o Can get very tricky! But allows shared storage and
even containers that act as storage only
25. Things to be Aware of...
● Images are stored with a VCS-ish
o Each line in a Dockerfile creates a new image
o FROM command allows stacking of images
o Can create parent-child relationships
o sudo docker commit or pull
● Docker Hub
o Store your images in the cloud
o This is default how we access many of the common
images (ubuntu, centos etc.)
o Can also create your own private repository
26. Things to be Aware of...
● Resource limits
o Can set CPU and RAM limits
● Networking
o Docker creates an elaborate networking
infrastructure via clever use of /etc/hosts
o Do not modify /etc/hosts!! or do so at peril
27. Neat tech out there today...
Docker swarm:
https://github.com/docker/swarm
CoreOS Rocket:
https://github.com/coreos/rocket