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This document discusses Dockerfiles, which are text files that contain commands to assemble Docker images. It covers topics like what Dockerfiles are, common commands used in Dockerfiles like FROM, ADD, CMD, and EXPOSE, how to build Dockerfiles locally or remotely, examples of Dockerfiles available through the Fedora Project on GitHub, and a demo of building Docker images from scratch.
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This document provides an overview of Docker containers. It defines containers as lightweight sandboxed processes that share the same kernel as the host operating system. The key benefits of containers are that they have lower overhead than virtual machines and allow for the easy sharing and distribution of applications. The document discusses Docker images, containers, the client-server architecture, and basic Docker commands. It also covers use cases, the layered filesystem model, and security considerations when using containers.
Why everyone is excited about Docker (and you should too...) - Carlo Bonamic...
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.
Luciano Fiandesio - Docker 101 | Codemotion Milan 2015
Containers are a technology that will take over infrastructure management in next few years and it is absolutely important to anyone involved in software delivery automation and maintenance to understand the principles behind it and know how to use it. This workshop offers an introduction to Linux containers using the predominant technology, Docker. The following topics will be covered: - A bit of history (LXC Containers, Docker, other players) - Setting up your environment - Docker daemon and client - Image vs. container - Docker registry - Container orchestration - Docker use cases
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This document provides an overview of Docker, including its history and community, what it is, how it compares to virtual machines and native environments, its internal architecture involving images, layers and containers, common use cases, and a demonstration of basic Docker commands. Docker is an open source platform for automating application development by packaging applications into containers that can be easily built, shipped and run on any infrastructure. It provides portability and versioning of applications with minimal overhead compared to virtual machines.
Running the Oracle SOA Suite Environment in a Docker Container
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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.
How to _docker
This document discusses using Docker for development and delivery environments. It begins with an introduction to Docker, explaining that it is an open platform for building, shipping and running distributed applications using lightweight containers. It then covers benefits of Docker like portability and reduced dependencies compared to traditional VMs. The document shows how to install and configure Docker, build Docker images from Dockerfiles, run containers from images using docker-compose, modify images and redeploy them. It also discusses using Docker to build microservices applications with independent, upgradeable services in separate containers.
Develop with docker 2014 aug
This document summarizes Docker concepts and provides steps for a local Docker development setup. It introduces Docker images, containers, and registries. It then outlines requirements for development and production configurations and provides examples of setting up a Node.js/Angular frontend and Django backend using Docker images. The document concludes with notes on continuous integration and architecture options.
codemotion-docker-2014
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.
The Docker "Gauntlet" - Introduction, Ecosystem, Deployment, Orchestration
This document summarizes Docker's growth over 15 months, including its community size, downloads, projects on GitHub, enterprise support offerings, and the Docker platform which includes the Docker Engine, Docker Hub, and partnerships. It also provides overviews of key Docker technologies like libcontainer, libchan, libswarm, and how images work in Docker.
Introduction to Docker - Learning containerization XP conference 2016
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.
Docker how to
Docker allows packaging applications with dependencies into standardized units called containers. Containers share the operating system kernel and use layered filesystems, making them lightweight and efficient. Docker is based on open standards and supports all major operating systems, providing portability. Common tools include Docker Engine, Docker Client, Docker Compose, Docker Machine, and Docker Swarm for clustering. Docker simplifies development workflows by allowing applications to always run the same regardless of environment.
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The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
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Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Fedora docker
- 1. Dockerfiles a primer... Presented by Scott Collier System Engineer, Red Hat Creative Common Attribution License
- 2. Today's Topics 1. Whoami 2. Introduction 3. Dockerfiles 4. Fedora Project 5. Where to go from here? 6. Demo
- 4. Dockerfiles Do you have to have them? No. What are they?
- 5. Containers / Images Single Process Container Multi-Process Container How? Host Container Official / Trusted / Non-Trusted Images
- 7. Dockerfiles Command Explanation FROM Sets which base image to use ADD Lets you add content to the image CMD Provides defaults for an executing container, can be used interchangeably with ENTRYPOINT ENTRYPOINT Sets the container up to behave like a single executable ENV Passes a variable to all future RUN instructions EXPOSE Exposes port(s) MAINTAINER Metadata about who owns this RUN Executing directive used to build an image USER Sets the UID to run the next command as VOLUME Enables access to a directory on the host machine WORKDIR Sets where CMD is executed from
- 8. Dockerfile # Version 1.0 FROM fedora MAINTAINER scollier <scollier@redhat.com> RUN yum -y update RUN yum -y install mongodb-server # Create a directory here for the MongoDB data store. RUN mkdir -p /data/db RUN sed -i 's/dbpath =/var/lib/mongodb/dbpath =/data/db/' /etc/mongodb.conf VOLUME ["/data/db"] EXPOSE 27017 ENTRYPOINT ["/usr/bin/mongod"]
- 9. Dockerfiles Building docker build --help --no-cache=true Don't use cache -q=true Be quite! -rm Remove intermediate containers after build -t Tag!
- 10. Dockerfiles Time to Build, how can they be called? Github # docker build git://github.com/scollier/dockerfilesrabbitmq.git Locally When in current directory # docker build . When located somewhere else # docker build - < /path/to/Dockerfile Trusted Builds Link between index.docker.io and your github account Code triggers a build
- 12. Fedora Project Where can you get some example Fedora dockerfiles? GitHub https://github.com/scollier/Fedora-Dockerfiles Fedora Hosted https://git.fedorahosted.org/cgit/dockerfiles.git/ # yum -y install fedora-dockerfiles
- 13. Fedora Project, cont What's there? nginx, apache, couchdb, firefox, memcached, mongodb, mysql, postgres, rabbitmq, ssh, wordpress, more to come! Each example contains Dockerfile How to run How to test
- 14. Demo 14
- 15. Demo Start from scratch! Explore some Dockerfiles Local Build of Single Process Container Remote Build of Multi-Process Container
- 17. Questions? 17 Creative Common Attribution License