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 Intro at the Google Developer Group and Google Cloud Platform Meet UpJérôme Petazzoni
Docker is the Open Source engine to author, run, and manage Linux Containers. This is a short introduction to Docker, what it is, what is for; it was given in the context of the Google Developer Group and Google Cloud Platform Meet-Up in San Francisco, end of March 2014.
Docker allows for the use of lightweight containers that share the host operating system kernel. Containers isolate applications from one another and provide a way to package applications with their dependencies. Containers use resource isolation features and union file systems for efficiency. Docker images are built from layers and can be distributed. The Docker ecosystem includes tools for the container lifecycle, networking, storage, and distribution of images.
This document provides an introduction to Docker including Docker vocabulary, architecture, file systems, networking, volumes, registry services like Docker Hub, and clustering technologies like Docker Swarm, Kubernetes and Mesos. It also covers setting up a local Docker environment, building Docker images with Dockerfiles, running containers, and deploying containers on AWS EC2 Container Service.
This document summarizes a presentation about using Docker for development. It discusses installing Docker, running a "Hello World" Docker image, building a custom Python Docker image, and composing a more complex Docker application with PHP, MySQL, and Apache. The benefits of Docker like lightweight containers, easy environment setup, and scalability are highlighted. Some challenges with scaling and orchestration are also mentioned, along with solutions like Docker Swarm and Kubernetes.
Most people think "adopting containers" means deploying Docker images to production. In practice, adopting containers in the continuous integration process provides visible benefits even if the production environment are VMs.
In this webinar, we will explore this pattern by packaging all build tools inside Docker containers.
Container-based pipelines allow us to create and reuse building blocks to make pipeline creation and management MUCH easier. It's like building with Legos instead of clay.
This not only makes pipeline creation and maintenance much easier, it also solves a myriad of classic CI/CD problems such as:
Putting an end to version conflicts in build machines
Eliminating build machine management in general
Step portability and maintenance
In a very real sense, Docker-based pipelines reflect lessons learned from microservices in CI/CD pipelines. We will share tips and tricks for running these kinds of pipelines while using Codefresh as a CI/CD solution as it fully supports pipelines where each build step is running on its own Docker image.
This document provides an overview of Docker basics including requirements, software, architecture, and concepts. It discusses traditional servers, virtual machines, and containers. Key advantages and disadvantages of each approach are listed. Docker concepts like images, containers, layers, Dockerfile, registry, and hub are defined. Common Docker commands are also outlined.
Docker uses virtualization techniques like namespaces and cgroups to isolate processes and share resources efficiently across multiple Linux containers. Namespaces isolate things like process IDs, network interfaces, and mounted filesystems between containers, while cgroups limit resources like CPU and memory for containers. AuFS combines multiple filesystem layers into one for containers. Docker builds on these technologies to package applications and their dependencies into lightweight Linux containers that can run virtually anywhere.
Docker Intro at the Google Developer Group and Google Cloud Platform Meet UpJérôme Petazzoni
Docker is the Open Source engine to author, run, and manage Linux Containers. This is a short introduction to Docker, what it is, what is for; it was given in the context of the Google Developer Group and Google Cloud Platform Meet-Up in San Francisco, end of March 2014.
Docker allows for the use of lightweight containers that share the host operating system kernel. Containers isolate applications from one another and provide a way to package applications with their dependencies. Containers use resource isolation features and union file systems for efficiency. Docker images are built from layers and can be distributed. The Docker ecosystem includes tools for the container lifecycle, networking, storage, and distribution of images.
This document provides an introduction to Docker including Docker vocabulary, architecture, file systems, networking, volumes, registry services like Docker Hub, and clustering technologies like Docker Swarm, Kubernetes and Mesos. It also covers setting up a local Docker environment, building Docker images with Dockerfiles, running containers, and deploying containers on AWS EC2 Container Service.
This document summarizes a presentation about using Docker for development. It discusses installing Docker, running a "Hello World" Docker image, building a custom Python Docker image, and composing a more complex Docker application with PHP, MySQL, and Apache. The benefits of Docker like lightweight containers, easy environment setup, and scalability are highlighted. Some challenges with scaling and orchestration are also mentioned, along with solutions like Docker Swarm and Kubernetes.
Most people think "adopting containers" means deploying Docker images to production. In practice, adopting containers in the continuous integration process provides visible benefits even if the production environment are VMs.
In this webinar, we will explore this pattern by packaging all build tools inside Docker containers.
Container-based pipelines allow us to create and reuse building blocks to make pipeline creation and management MUCH easier. It's like building with Legos instead of clay.
This not only makes pipeline creation and maintenance much easier, it also solves a myriad of classic CI/CD problems such as:
Putting an end to version conflicts in build machines
Eliminating build machine management in general
Step portability and maintenance
In a very real sense, Docker-based pipelines reflect lessons learned from microservices in CI/CD pipelines. We will share tips and tricks for running these kinds of pipelines while using Codefresh as a CI/CD solution as it fully supports pipelines where each build step is running on its own Docker image.
This document provides an overview of Docker basics including requirements, software, architecture, and concepts. It discusses traditional servers, virtual machines, and containers. Key advantages and disadvantages of each approach are listed. Docker concepts like images, containers, layers, Dockerfile, registry, and hub are defined. Common Docker commands are also outlined.
Docker uses virtualization techniques like namespaces and cgroups to isolate processes and share resources efficiently across multiple Linux containers. Namespaces isolate things like process IDs, network interfaces, and mounted filesystems between containers, while cgroups limit resources like CPU and memory for containers. AuFS combines multiple filesystem layers into one for containers. Docker builds on these technologies to package applications and their dependencies into lightweight Linux containers that can run virtually anywhere.
This slide is just for beginner journey with docker who are eager to learn docker but don't know where to start or how it works. In here I am trying to explain every basic things of docker as simple as possible.
This document introduces Docker and discusses its benefits. Docker is an open platform that allows developers and administrators to build, ship, share, and run distributed applications. It allows building applications from any programming language or framework. Docker provides portability, automation, standardization, and the ability to rapidly scale applications up or down. It also helps support microservices architectures.
The document introduces containers and Docker. It discusses the problems with traditional virtualization approaches for managing and deploying code. Containers provide a lightweight virtualization method that packages code and dependencies together so the application runs reliably from one computing environment to another. Docker is a tool that makes it easy to create, deploy and run containers. The document provides examples of using Docker to build container images from a Dockerfile, run containers, link containers together using Docker Compose, and share container images publicly on Docker Hub.
Docker containers are other piece of the new Connections architecture that makes it a highly extensible and flexible collaboration platform. Flashing back to IBM Connect 17 in San Francisco, I knew Docker was going to be a topic of high interest as the Docker session was standing room only. Predicated on this I decided to conduct an introduction to Docker session at Social Connections 11.
Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
Docker is a technology that uses lightweight containers to package applications and their dependencies in a standardized way. This allows applications to be easily deployed across different environments without changes to the installation procedure. Docker simplifies DevOps tasks by enabling a "build once, ship anywhere" model through standardized environments and images. Key benefits include faster deployments, increased utilization of resources, and easier integration with continuous delivery and cloud platforms.
Wso2 con 2014-us-tutorial-apache stratos-wso2 private paas with docker integr...Lakmal Warusawithana
This document discusses Apache Stratos/WSO2 private PaaS with Docker integration. It provides an overview of containers, Docker, CoreOS, Kubernetes and Flannel. It then demonstrates how Apache Stratos 4.1.0 can be used to deploy and manage Docker-based applications on a CoreOS cluster using Kubernetes for orchestration and service discovery. Key features of Stratos like automated scaling and updates are shown.
This document summarizes Muriel Salvan's presentation on Docker and cargo transport. It discusses how Docker can be used to containerize applications and services, create images from Dockerfiles, run containers from images, and deploy images to registries for sharing. Examples are given on building Ruby and Rails images, running a clustered Rails application in containers, and using a proxy container to load balance requests. Performance benefits of Docker are highlighted such as faster launch times and consistent memory usage across containers.
This document summarizes a presentation about Docker, a technology that uses containers as a way to deploy applications. Some key points:
- Docker uses containers, not virtual machines, to isolate applications and their dependencies. Containers share the host operating system kernel to improve efficiency over virtual machines.
- Docker makes it easy to package applications and dependencies into images that can run on any infrastructure. Images are versioned and changes are stored like code commits.
- Common uses include development environments and application deployment on servers. Docker Hub is a registry for sharing Docker images.
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.
An introduction to Docker and docker-compose. Starting from single docker run commands we discover docker file basics, docker-compose basics and finally we play around with scaling containers in docker-compose.
Introducing containers and docker, answering questions like: What are software containers? What is Docker? Who and why should I use Docker?
Slides also discuss the role of dev-ops and Docker and walk you through some examples.
By Aram Yegenian — System Administrator
Docker and containers : Disrupting the virtual machine(VM)Rama Krishna B
This document discusses Docker containers and how they are disrupting virtual machines. It begins with definitions of key terms like virtualization, virtual machines, and hypervisors. It then compares virtual machines to containers, noting that containers are more lightweight and efficient since they share the host operating system and resources, while still providing isolation. The document traces the evolution of containers from early technologies like chroot to modern implementations in Docker. It positions Docker as an open source tool that packages and runs applications in portable software containers. While containers increase efficiency over virtual machines, the document argues both technologies can coexist in cloud environments.
This is the notes of a presentation I gave to our IT dept., people who know a lot about VMs! They include a description of differences betwen a VM and a container, why would someone would want to use Docker, how it works (at 30,000 feet), some hints of what are the hub and orchestration, some Dockerfiles examples: jenkins slave, jenkins master, sinopia server, etc. and finally some new features Docker is going to propose in the future and how I intend to mix Configuration tools, such as Ansible, and Docker.
This document introduces Docker and provides an overview of its key features and benefits. It explains that Docker allows developers to package applications into lightweight containers that can run on any Linux server. Containers deploy instantly and consistently across environments due to their isolation via namespaces and cgroups. The document also summarizes Docker's architecture including storage drivers, images, and the Dockerfile for building images.
Docker allows for the delivery of applications using containers. Containers are lightweight and allow for multiple applications to run on the same host, unlike virtual machines which each require their own operating system. Docker images contain the contents and configuration needed to run an application. Images are built from manifests and layers of content and configuration are added. Running containers from images allows applications to be easily delivered and run. Containers can be connected to volumes to preserve data when the container is deleted. Docker networking allows containers to communicate and ports can be exposed to the host.
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 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.
The document summarizes a talk given at the Linux Plumbers Conference 2014 about Docker and the Linux kernel. It discusses what Docker is, how it uses kernel features like namespaces and cgroups, its different storage drivers and their issues, kernel requirements, and how Docker and kernel developers can collaborate to test and improve the kernel and Docker software.
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.
Introduction to Docker at Glidewell Laboratories in Orange CountyJérôme Petazzoni
In this presentation we will introduce Docker, and how you can use it to build, ship, and run any application, anywhere. The presentation included short demos, links to further material, and of course Q&As. If you are already a seasoned Docker user, this presentation will probably be redundant; but if you started to use Docker and are still struggling with some of his facets, you'll learn some!
ExpoQA 2017 Using docker to build and test in your laptop and JenkinsElasTest Project
This document discusses using Docker to build and test applications in laptops and Jenkins. It begins with an introduction to the author and their background/expertise. It then covers virtualization and containers, including VirtualBox, Vagrant, and Docker. The main concepts of Docker like images, containers, registries are defined. Hands-on examples are provided for running basic Docker commands, managing the lifecycle of containers, exposing network services, and managing Docker images. Building a simple Python web application image is demonstrated as a first example of creating a custom Docker image.
This slide is just for beginner journey with docker who are eager to learn docker but don't know where to start or how it works. In here I am trying to explain every basic things of docker as simple as possible.
This document introduces Docker and discusses its benefits. Docker is an open platform that allows developers and administrators to build, ship, share, and run distributed applications. It allows building applications from any programming language or framework. Docker provides portability, automation, standardization, and the ability to rapidly scale applications up or down. It also helps support microservices architectures.
The document introduces containers and Docker. It discusses the problems with traditional virtualization approaches for managing and deploying code. Containers provide a lightweight virtualization method that packages code and dependencies together so the application runs reliably from one computing environment to another. Docker is a tool that makes it easy to create, deploy and run containers. The document provides examples of using Docker to build container images from a Dockerfile, run containers, link containers together using Docker Compose, and share container images publicly on Docker Hub.
Docker containers are other piece of the new Connections architecture that makes it a highly extensible and flexible collaboration platform. Flashing back to IBM Connect 17 in San Francisco, I knew Docker was going to be a topic of high interest as the Docker session was standing room only. Predicated on this I decided to conduct an introduction to Docker session at Social Connections 11.
Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
Docker is a technology that uses lightweight containers to package applications and their dependencies in a standardized way. This allows applications to be easily deployed across different environments without changes to the installation procedure. Docker simplifies DevOps tasks by enabling a "build once, ship anywhere" model through standardized environments and images. Key benefits include faster deployments, increased utilization of resources, and easier integration with continuous delivery and cloud platforms.
Wso2 con 2014-us-tutorial-apache stratos-wso2 private paas with docker integr...Lakmal Warusawithana
This document discusses Apache Stratos/WSO2 private PaaS with Docker integration. It provides an overview of containers, Docker, CoreOS, Kubernetes and Flannel. It then demonstrates how Apache Stratos 4.1.0 can be used to deploy and manage Docker-based applications on a CoreOS cluster using Kubernetes for orchestration and service discovery. Key features of Stratos like automated scaling and updates are shown.
This document summarizes Muriel Salvan's presentation on Docker and cargo transport. It discusses how Docker can be used to containerize applications and services, create images from Dockerfiles, run containers from images, and deploy images to registries for sharing. Examples are given on building Ruby and Rails images, running a clustered Rails application in containers, and using a proxy container to load balance requests. Performance benefits of Docker are highlighted such as faster launch times and consistent memory usage across containers.
This document summarizes a presentation about Docker, a technology that uses containers as a way to deploy applications. Some key points:
- Docker uses containers, not virtual machines, to isolate applications and their dependencies. Containers share the host operating system kernel to improve efficiency over virtual machines.
- Docker makes it easy to package applications and dependencies into images that can run on any infrastructure. Images are versioned and changes are stored like code commits.
- Common uses include development environments and application deployment on servers. Docker Hub is a registry for sharing Docker images.
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.
An introduction to Docker and docker-compose. Starting from single docker run commands we discover docker file basics, docker-compose basics and finally we play around with scaling containers in docker-compose.
Introducing containers and docker, answering questions like: What are software containers? What is Docker? Who and why should I use Docker?
Slides also discuss the role of dev-ops and Docker and walk you through some examples.
By Aram Yegenian — System Administrator
Docker and containers : Disrupting the virtual machine(VM)Rama Krishna B
This document discusses Docker containers and how they are disrupting virtual machines. It begins with definitions of key terms like virtualization, virtual machines, and hypervisors. It then compares virtual machines to containers, noting that containers are more lightweight and efficient since they share the host operating system and resources, while still providing isolation. The document traces the evolution of containers from early technologies like chroot to modern implementations in Docker. It positions Docker as an open source tool that packages and runs applications in portable software containers. While containers increase efficiency over virtual machines, the document argues both technologies can coexist in cloud environments.
This is the notes of a presentation I gave to our IT dept., people who know a lot about VMs! They include a description of differences betwen a VM and a container, why would someone would want to use Docker, how it works (at 30,000 feet), some hints of what are the hub and orchestration, some Dockerfiles examples: jenkins slave, jenkins master, sinopia server, etc. and finally some new features Docker is going to propose in the future and how I intend to mix Configuration tools, such as Ansible, and Docker.
This document introduces Docker and provides an overview of its key features and benefits. It explains that Docker allows developers to package applications into lightweight containers that can run on any Linux server. Containers deploy instantly and consistently across environments due to their isolation via namespaces and cgroups. The document also summarizes Docker's architecture including storage drivers, images, and the Dockerfile for building images.
Docker allows for the delivery of applications using containers. Containers are lightweight and allow for multiple applications to run on the same host, unlike virtual machines which each require their own operating system. Docker images contain the contents and configuration needed to run an application. Images are built from manifests and layers of content and configuration are added. Running containers from images allows applications to be easily delivered and run. Containers can be connected to volumes to preserve data when the container is deleted. Docker networking allows containers to communicate and ports can be exposed to the host.
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 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.
The document summarizes a talk given at the Linux Plumbers Conference 2014 about Docker and the Linux kernel. It discusses what Docker is, how it uses kernel features like namespaces and cgroups, its different storage drivers and their issues, kernel requirements, and how Docker and kernel developers can collaborate to test and improve the kernel and Docker software.
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.
Introduction to Docker at Glidewell Laboratories in Orange CountyJérôme Petazzoni
In this presentation we will introduce Docker, and how you can use it to build, ship, and run any application, anywhere. The presentation included short demos, links to further material, and of course Q&As. If you are already a seasoned Docker user, this presentation will probably be redundant; but if you started to use Docker and are still struggling with some of his facets, you'll learn some!
ExpoQA 2017 Using docker to build and test in your laptop and JenkinsElasTest Project
This document discusses using Docker to build and test applications in laptops and Jenkins. It begins with an introduction to the author and their background/expertise. It then covers virtualization and containers, including VirtualBox, Vagrant, and Docker. The main concepts of Docker like images, containers, registries are defined. Hands-on examples are provided for running basic Docker commands, managing the lifecycle of containers, exposing network services, and managing Docker images. Building a simple Python web application image is demonstrated as a first example of creating a custom Docker image.
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 introduces Docker and provides an overview of its key concepts and capabilities. It explains that Docker allows deploying applications into lightweight Linux containers that are isolated but share resources and run at native speeds. It describes how Docker uses namespaces and cgroups for isolation and copy-on-write storage for efficiency. The document also outlines common Docker workflows for building, testing, and deploying containerized applications both locally and in production environments at scale.
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 at the Azure Meet-up in New YorkJérôme Petazzoni
This is the presentation given at the Azure New York Meet-Up group, September 3rd.
It includes a quick overview of the Open Source Docker Engine and its associated services delivered through the Docker Hub. It also covers the new features of Docker 1.0, and briefly explains how to get started with Docker on Azure.
Docker provides lightweight virtualization using containers. It allows applications to be packaged with their dependencies and run consistently across environments. Java applications can be containerized using Docker to enable continuous delivery, running the same environment for development, testing, and production. The Docker ecosystem is growing with many tools and platforms supporting containerization of Java applications.
Dockerizing Symfony2 application. Why Docker is so cool And what is Docker? And what are Containers? How they works? What are the ecosystem of Docker? And how to dockerize your web application (can be based on Symfony2 framework)?
This session provides a quick introduction of Docker containers on Linux, and how to configure it on Ubuntu running on a POWER8 processor-based system. We discuss requisites, steps, repositories and use cases. We also make a comparison between Docker and AIX Workload Partitions. During the presentation we demonstrate how to deploy and use containers, and how to manager Docker containers on Power.
This document outlines an agenda for a two-day workshop on containers and Docker. Day 1 covers virtualization theory and hands-on labs with VirtualBox. Day 2 focuses on containers theory, Docker, and hands-on Docker labs. The document explains key Docker concepts like images, the Dockerfile for building images, layers, networking, and orchestration. It provides instructions for several hands-on Docker labs including running cowsay in a container, pulling an existing image, building a custom image that runs cowsay with fortunes, and publishing the custom image to Docker Hub.
Docker 1 0 1 0 1: a Docker introduction, actualized for the stable release of...Jérôme Petazzoni
If you're not familiar yet with Docker, here is your chance to catch up. This presentation includes a quick overview of the Open Source Docker Engine, and its associated services delivered through the Docker Hub. Recent features are listed, as well as a glimpse at what's next in the Docker world.
This presentation was given during OSCON, at a meet-up hosted by New Relic, with co-presentations from CoreOS and Rackspace OnMetal.
Using Docker to build and test in your laptop and JenkinsMicael Gallego
Docker is changing the way we create and deploy software. This presentation is a hands-on introduction to how to use docker to build and test software, in your laptop and in your Jenkins CI server
A Gentle Introduction to Docker and ContainersDocker, Inc.
This document provides an introduction to Docker and containers. It outlines that Docker is an open source tool that makes it easy to deploy applications by using containers. Containers allow applications to be isolated for easier management and deployment. The document discusses how Docker builds on existing container technologies and provides a standardized way to build, share, and run application containers.
Introduction to Docker, December 2014 "Tour de France" Bordeaux Special 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 last stop of the "Tour de France" in Bordeaux. It is slightly different from the presentation which was shown in the other cities (http://www.slideshare.net/jpetazzo/introduction-to-docker-december-2014-tour-de-france-edition), and includes a detailed history of dotCloud and Docker and a few other differences.
Special thanks to https://twitter.com/LilliJane and https://twitter.com/zirkome, who gave me the necessary motivation to put together this slightly different presentation, since they had already seen the other presentation in Paris :-)
The internals and the latest trends of container runtimesAkihiro Suda
The document discusses the internals and latest trends of container runtimes. It describes how container runtimes like Docker use kernel features like namespaces and cgroups to isolate containers. It explains how containerd and runc work together to manage the lifecycles of container processes. It also covers security measures like capabilities, AppArmor, and SELinux that container runtimes employ to safeguard the host system.
Docker allows developers to containerize applications so they can be run reliably and isolated from the underlying infrastructure. It provides a way to package an application with all of its dependencies into a standardized unit that can run on any infrastructure. Docker containers are lightweight and contain everything needed to run the application, such as code, runtime, system tools, system libraries and settings. This allows applications to run identically on any infrastructure regardless of the underlying operating system.
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.
Docker is a tool that allows developers to package applications into containers to ensure consistency across environments. Some key benefits of Docker include lightweight containers, isolation, and portability. The Docker workflow involves building images, pulling pre-built images, pushing images to registries, and running containers from images. Docker uses a layered filesystem to efficiently build and run containers. Running multiple related containers together can be done using Docker Compose or Kubernetes for orchestration.
Introduction to Docker and Monitoring with InfluxDataInfluxData
In this webinar, Gary Forgheti, Technical Alliance Engineer at Docker, and Gunnar Aasen, Partner Engineering, provide an introduction to Docker and InfluxData. From there, they will show you how to use the two together to setup and monitor your containers and microservices to properly manage your infrastructure and track key metrics (CPU, RAM, storage, network utilization), as well as the availability of your application endpoints.
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!
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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.
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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
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.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
20240609 QFM020 Irresponsible AI Reading List May 2024
Docker presentation
1.
2. Agenda
● What is Virtualization?
● What is Virtualization trying to solve?
● Traditional Virtualization
● What is Docker?
○ Docker vs. Virtual Machine
● Images, Containers and Registry
● Volume Mounting, Port Publishing, Linking
● Docker Compose
● Demo
● Docker Swarm
● Docker Use Cases
3. What is
Virtualization?
What is it trying to
solve?
- Many systems on top of a single
powerful hardware
- Consistency across
environments
- Changing one thing without
affecting the other
11. Docker Image
A snapshot of a Linux filesystem.
Example Docker commands that operate on images:
● images: List all local images
● tag: Tag an image
● pull: Download image from repository
● rmi: Delete a local image (will also remove intermediate images if no
longer used)
12. Docker Container
A running instance of an image.
Example Docker commands that operate on containers:
● ps -a: List all containers (including stopped)
● run: Create a container from an image and execute a command
in it
● rm: Delete a container
● exec: Run a new command in a running container
13.
14. Docker Registry
● A registry that stores and delivers images
● Private Registries
○ Private to user or company
● Public Registries
○ Example: Official Docker Hub Registry (https://hub.docker.com/)
■ Pull images from existing repositories
■ Create your own repositories
■ Push images to your own repositories
15. Mount Volumes
● Shared folders
● docker run –it –v /host/dir:/container/dir ubuntu bash
○ /container/dirinside the container will correspond to /host/dir in the
host
● docker run –it --volumes-from container_name ubuntu bash
○ Run a new container with the same volumes as an existing one
16. Publish Port
● Map ports
● docker run -d -p 8080:80 nginx
○ Map container’s port 80 to host’s port 8080
○ Use the official Nginx image
■ Which is configured to automatically run Nginx inside a container
○ On host, can then browse to http://localhost:8080/ in a web browser to
see the website
17. Dockerfile
- Reusable Images in different
environments (stage, dev, prod)
- Layered Filesystem (AuFS)
- Domain Specific Language
FROM python:3.4
ENV PYTHONUNBUFFERED 1
RUN mkdir /code
WORKDIR /code
ADD . /code/
RUN pip install -r requirements.txt