Presentation on Docker and Docker Compose. Includes basic commands to get started with Docker container. This presentation was presented on 9th February, 2018
Taking Docker to Production: What You Need to Know and DecideDocker, Inc.
This document provides advice on taking Docker to production. It recommends starting simply by focusing on Dockerfiles and containerizing existing applications before complex orchestration. It also warns against common anti-patterns like using the "latest" tag or trapping data in containers. The document outlines sample swarm architectures and tech stacks and notes that outsourcing non-critical components can simplify operations. It closes by suggesting that an orchestrator may not always be needed and that running one container per VM is a valid approach.
This presentation gives a quick introduction to Docker and aims to motivate you to read and learn more about this really cool technology that is gaining a lot of attention/popularity at the moment.
This document discusses how Docker and DevOps introduce a new IT culture. It provides an overview of Docker and containers, explaining how Docker allows packaging applications and dependencies into standardized units. It then discusses aspects of the DevOps methodology like configuration management, continuous integration, and maintaining consistent environments across development and production. The document argues that Docker streamlines processes like environment setup, updates, integration testing, and infrastructure changes in a DevOps workflow.
From Arm to Z: Building, Shipping, and Running a Multi-platform Docker Swarm ...Docker, Inc.
We live in a multi-platform world, and who doesn't want their project to run on all of them? The last few DockerCon events have covered the introduction of multi-platform image capabilities into the Docker registry and engine releases. Now it's time to put these features to good use building applications across architectures and running them all in a heterogeneous Docker Swarm! In this talk we'll cover the new `docker manifest` command for making multi-architecture images; how to emulate architectures in docker containers on your own machine; and give a live demonstration of these capabilities with a Docker Swarm consisting of workers of different CPU architectures, including armhf, ppc64le, s390x, and x86_64. We'll also share some pointers for making sure your project is multi-platform ready! Three Takeaways: 1. Attendees will be introduced to manifest lists and how to create multi-arch images using the new 'docker manifest' command. 2. Attendees will learn how to easily create and deploy a basic multi-arch service using multi-platform images. 3. Bonus: Attendees will learn how to run non-native docker containers on their systems.
1. The document describes a CI/CD workflow that uses GitHub for code versioning, Jenkins to trigger build jobs, Sonarqube for code analysis, Ansible to execute commands, and Docker to run containers.
2. The workflow involves developers pushing code to GitHub, which triggers Jenkins to clone the code, setup databases, import configs, run tests, and deploy to servers if tests pass.
3. Ansible scripts are used to setup systems, update code, and install the project skeleton with LAMP dependencies in Docker containers.
Taking Docker to Production: What You Need to Know and DecideDocker, Inc.
This document provides advice on taking Docker to production. It recommends starting simply by focusing on Dockerfiles and containerizing existing applications before complex orchestration. It also warns against common anti-patterns like using the "latest" tag or trapping data in containers. The document outlines sample swarm architectures and tech stacks and notes that outsourcing non-critical components can simplify operations. It closes by suggesting that an orchestrator may not always be needed and that running one container per VM is a valid approach.
This presentation gives a quick introduction to Docker and aims to motivate you to read and learn more about this really cool technology that is gaining a lot of attention/popularity at the moment.
This document discusses how Docker and DevOps introduce a new IT culture. It provides an overview of Docker and containers, explaining how Docker allows packaging applications and dependencies into standardized units. It then discusses aspects of the DevOps methodology like configuration management, continuous integration, and maintaining consistent environments across development and production. The document argues that Docker streamlines processes like environment setup, updates, integration testing, and infrastructure changes in a DevOps workflow.
From Arm to Z: Building, Shipping, and Running a Multi-platform Docker Swarm ...Docker, Inc.
We live in a multi-platform world, and who doesn't want their project to run on all of them? The last few DockerCon events have covered the introduction of multi-platform image capabilities into the Docker registry and engine releases. Now it's time to put these features to good use building applications across architectures and running them all in a heterogeneous Docker Swarm! In this talk we'll cover the new `docker manifest` command for making multi-architecture images; how to emulate architectures in docker containers on your own machine; and give a live demonstration of these capabilities with a Docker Swarm consisting of workers of different CPU architectures, including armhf, ppc64le, s390x, and x86_64. We'll also share some pointers for making sure your project is multi-platform ready! Three Takeaways: 1. Attendees will be introduced to manifest lists and how to create multi-arch images using the new 'docker manifest' command. 2. Attendees will learn how to easily create and deploy a basic multi-arch service using multi-platform images. 3. Bonus: Attendees will learn how to run non-native docker containers on their systems.
1. The document describes a CI/CD workflow that uses GitHub for code versioning, Jenkins to trigger build jobs, Sonarqube for code analysis, Ansible to execute commands, and Docker to run containers.
2. The workflow involves developers pushing code to GitHub, which triggers Jenkins to clone the code, setup databases, import configs, run tests, and deploy to servers if tests pass.
3. Ansible scripts are used to setup systems, update code, and install the project skeleton with LAMP dependencies in Docker containers.
How to Improve Your Image Builds Using Advance Docker BuildDocker, Inc.
Nicholas Dille, Haufe-Lexware + Docker Captain -
Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.
ContainerDayVietnam2016: Django Development with DockerDocker-Hanoi
Cuong Tran presented on Django development with Docker. The presentation covered:
1. Introduction to the Django Docker stack including Nginx, Django, Postgres, and Redis.
2. How to run the Django stack using Docker Compose including building, starting containers, and migrating data.
3. Common activities like running commands in containers, updating code in Git, and rebuilding Docker images.
4. Problems and solutions like handling Docker stop signals gracefully, ensuring proper startup order, and optimizing the Docker build process.
5. Useful Docker snippets for stats, removing containers/images, and saving/loading images.
This document discusses deployment automation using Docker. It begins by introducing Docker terminology like images, containers, and registries. It then covers installing Docker, building images from Dockerfiles, tagging and pushing images to private registries, and running containers. The document also discusses mounting host directories in containers, cluster operations, and next steps around orchestration, monitoring, and continuous delivery.
Introduction to Docker Compose | Docker Intermediate WorkshopAjeet Singh Raina
Docker Compose allows users to define and run multi-container Docker applications. With Docker Compose, a YAML file is used to configure an application's services, and with a single command, all the services can be started from the configuration. Docker Compose is a three step process - services are defined in a Dockerfile, then in a Docker Compose file, and then run with docker-compose up. It supports volumes, networks, and environmental variables. Docker Compose can be used for development, testing, and production environments across different platforms.
Docker Compose: Docker Configuration for the Real WorldWill Hall
Using Docker Compose to manage you Docker containers and multi-container applications. 6 different application examples, teamed with https://github.com/willhallonline/docker-compose-workshop.
In this deck from the Stanford HPC Conference, Christian Kniep from Docker, Inc. gives a tutorial on linux containers.
"This tutorial provides a detailed overview of the components needed to run containerized applications and explores how distributed HPC applications can be tackled. We’ll explain the concept of Linux Containers and describe the bits and pieces participants will explore following step-by-step examples.
The workshop will introduce the predominant forms of orchestration in the industry; what problems they solve and how to approach the problem.
Attendees will explore the benefits and drawbacks of orchestrators first hand with their own small exemplary stack deployments.
Finally the workshop will introduce how HPC and Big Data workloads can be tackled on-top of these service-oriented clusters."
Watch the video: https://youtu.be/LJinZpCTyk0
Learn more: http://www.docker.com/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Continuous Delivery Pipeline with Docker and JenkinsCamilo Ribeiro
This document discusses using Docker and Jenkins to create a continuous delivery pipeline. It recommends using Docker to build, test, and deploy code in isolated environments at each stage. Jenkins can run in a Docker container and trigger Docker builds. The Job DSL plugin allows Jenkins jobs to be defined with Groovy scripts for easy automation and templating of jobs. The document provides resources for learning more about continuous delivery with Docker and Jenkins Job DSL.
From Zero Docker to Hackathon Winner - Marcos Lilljedahl and Jimena TapiaDocker, Inc.
This is my story about how I got involved in the Docker hackathon (and won) without knowing Docker at all. I'll share what technological limitations I had before using Docker and how I managed to solve them, and also some tips to getting started. As a closing, I'll talk about the Whaleprint project and some key features that we would love to see in docker today.
Docker for Mac and Windows: The Insider's Guide by Justin CormackDocker, Inc.
Docker for Mac and Windows were released in beta in March, and provide lots of new features that users have been clamouring for including: file system notifications, simpler file sharing, and no Virtualbox hassles.
During this talk, I will give the inside guide to how these products work. We will look at all the major components and how they fit together to make up the product. This includes a technical deep dive covering the hypervisors for OSX and Windows, the custom file sharing code, the networking, the embedded Alpine Linux distribution, and more.
This document discusses containers vs virtual machines and provides steps to install Docker. It then gives three use cases for Docker: deploying Drupal and OwnCloud from Docker images, and using Docker for continuous integration with Jenkins. Key steps shown include pulling Docker images, running containers with port mappings and names, and stopping/starting containers.
Democratizing Development - Scott GressDocker, Inc.
We all know the benefits of using Docker to standardize development and production environments. Using Electron to create a cross-platform desktop app that connects to both Docker and Treeline (the online IDE for Sails.js apps) we can further lower the barrier to entry for developers and open up the "black box" of development to non-technical stakeholders.
Using Docker multi-stage build to created advanced build pipelines.
With single Dockerfile create lean Docker images for Go, Node, Java and other platforms.
Developer South Coast 2018: Modernizing .NET Apps with DockerElton Stoneman
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Automate App Container Delivery with CI/CD and DevOpsDaniel Oh
This document discusses how to automate application container delivery with CI/CD and DevOps. It describes building and deploying container images using Source-to-Image (S2I) to deploy source code or application binaries. OpenShift automates deploying application containers across hosts via Kubernetes. The document also discusses continuous integration, continuous delivery, and how OpenShift supports CI/CD with features like Jenkins-as-a-Service and OpenShift Pipelines.
Docker Continuous Delivery Workshop slide in Docker Training & Workshop for DevOps and Continuous Delivery at OSS Festival 2014 Thailand on October 11, 2014
The document discusses Docker's support for multiple CPU architectures and operating systems through multi-architecture container images and orchestration. It explains how Docker images are tied to a specific OS and CPU, requiring multi-arch images to run universally. It demonstrates building and distributing multi-arch images, and how Docker Swarm and Compose support placement and constraints for multi-arch orchestration. It concludes that maintaining multi-arch images takes effort but provides portability, and that Docker EE supports orchestrating Linux, Windows, IBM Z and Power systems through one interface.
Criando pipelines de entrega contínua multilinguagem com Docker e JenkinsCamilo Ribeiro
Palestra apresentada no QCon do Rio de Janeiro em 2015, sobre docker, jenkins, job dsl e automação de uma pipeline.
Exemplos e código podem ser encontrados em: https://github.com/camiloribeiro/cdeasy
Get hands-on with security features and best practices to protect your containerized services. Learn to push and verify signed images with Docker Content Trust, and collaborate with delegation roles. Intermediate to advanced level Docker experience recommended, participants will be building and pushing with Docker during the workshop.
Led By Docker Security Experts:
Riyaz Faizullabhoy
David Lawrence
Viktor Stanchev
Experience Level: Intermediate to advanced level Docker experience recommended
The document discusses using Docker as a development environment. It explains what Docker is, how it works using images and containers, and its benefits like having the same environment locally as production. It then provides examples of using Docker with Ruby on Rails applications, including creating Dockerfiles, using Docker Compose to run multiple services like the app and database, and caching gems with a Docker volume. Links are also included for additional reading on using Docker for development.
This document provides an overview of Docker for developers. It discusses why Docker is useful for building applications, including portability across machines, isolating dependencies, and creating development environments that match production. Benefits of Docker like lightweight containers, a unified build process with Dockerfiles, standardized images from Docker Hub, and fast container startup times are outlined. Some cons like only working on Linux and added complexity are noted. Using Docker with Vagrant for a portable development environment is presented. Key Docker CLI commands and Docker Compose for defining multi-container apps are covered. Tips for debugging running containers are provided.
How to Improve Your Image Builds Using Advance Docker BuildDocker, Inc.
Nicholas Dille, Haufe-Lexware + Docker Captain -
Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.
ContainerDayVietnam2016: Django Development with DockerDocker-Hanoi
Cuong Tran presented on Django development with Docker. The presentation covered:
1. Introduction to the Django Docker stack including Nginx, Django, Postgres, and Redis.
2. How to run the Django stack using Docker Compose including building, starting containers, and migrating data.
3. Common activities like running commands in containers, updating code in Git, and rebuilding Docker images.
4. Problems and solutions like handling Docker stop signals gracefully, ensuring proper startup order, and optimizing the Docker build process.
5. Useful Docker snippets for stats, removing containers/images, and saving/loading images.
This document discusses deployment automation using Docker. It begins by introducing Docker terminology like images, containers, and registries. It then covers installing Docker, building images from Dockerfiles, tagging and pushing images to private registries, and running containers. The document also discusses mounting host directories in containers, cluster operations, and next steps around orchestration, monitoring, and continuous delivery.
Introduction to Docker Compose | Docker Intermediate WorkshopAjeet Singh Raina
Docker Compose allows users to define and run multi-container Docker applications. With Docker Compose, a YAML file is used to configure an application's services, and with a single command, all the services can be started from the configuration. Docker Compose is a three step process - services are defined in a Dockerfile, then in a Docker Compose file, and then run with docker-compose up. It supports volumes, networks, and environmental variables. Docker Compose can be used for development, testing, and production environments across different platforms.
Docker Compose: Docker Configuration for the Real WorldWill Hall
Using Docker Compose to manage you Docker containers and multi-container applications. 6 different application examples, teamed with https://github.com/willhallonline/docker-compose-workshop.
In this deck from the Stanford HPC Conference, Christian Kniep from Docker, Inc. gives a tutorial on linux containers.
"This tutorial provides a detailed overview of the components needed to run containerized applications and explores how distributed HPC applications can be tackled. We’ll explain the concept of Linux Containers and describe the bits and pieces participants will explore following step-by-step examples.
The workshop will introduce the predominant forms of orchestration in the industry; what problems they solve and how to approach the problem.
Attendees will explore the benefits and drawbacks of orchestrators first hand with their own small exemplary stack deployments.
Finally the workshop will introduce how HPC and Big Data workloads can be tackled on-top of these service-oriented clusters."
Watch the video: https://youtu.be/LJinZpCTyk0
Learn more: http://www.docker.com/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Continuous Delivery Pipeline with Docker and JenkinsCamilo Ribeiro
This document discusses using Docker and Jenkins to create a continuous delivery pipeline. It recommends using Docker to build, test, and deploy code in isolated environments at each stage. Jenkins can run in a Docker container and trigger Docker builds. The Job DSL plugin allows Jenkins jobs to be defined with Groovy scripts for easy automation and templating of jobs. The document provides resources for learning more about continuous delivery with Docker and Jenkins Job DSL.
From Zero Docker to Hackathon Winner - Marcos Lilljedahl and Jimena TapiaDocker, Inc.
This is my story about how I got involved in the Docker hackathon (and won) without knowing Docker at all. I'll share what technological limitations I had before using Docker and how I managed to solve them, and also some tips to getting started. As a closing, I'll talk about the Whaleprint project and some key features that we would love to see in docker today.
Docker for Mac and Windows: The Insider's Guide by Justin CormackDocker, Inc.
Docker for Mac and Windows were released in beta in March, and provide lots of new features that users have been clamouring for including: file system notifications, simpler file sharing, and no Virtualbox hassles.
During this talk, I will give the inside guide to how these products work. We will look at all the major components and how they fit together to make up the product. This includes a technical deep dive covering the hypervisors for OSX and Windows, the custom file sharing code, the networking, the embedded Alpine Linux distribution, and more.
This document discusses containers vs virtual machines and provides steps to install Docker. It then gives three use cases for Docker: deploying Drupal and OwnCloud from Docker images, and using Docker for continuous integration with Jenkins. Key steps shown include pulling Docker images, running containers with port mappings and names, and stopping/starting containers.
Democratizing Development - Scott GressDocker, Inc.
We all know the benefits of using Docker to standardize development and production environments. Using Electron to create a cross-platform desktop app that connects to both Docker and Treeline (the online IDE for Sails.js apps) we can further lower the barrier to entry for developers and open up the "black box" of development to non-technical stakeholders.
Using Docker multi-stage build to created advanced build pipelines.
With single Dockerfile create lean Docker images for Go, Node, Java and other platforms.
Developer South Coast 2018: Modernizing .NET Apps with DockerElton Stoneman
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Automate App Container Delivery with CI/CD and DevOpsDaniel Oh
This document discusses how to automate application container delivery with CI/CD and DevOps. It describes building and deploying container images using Source-to-Image (S2I) to deploy source code or application binaries. OpenShift automates deploying application containers across hosts via Kubernetes. The document also discusses continuous integration, continuous delivery, and how OpenShift supports CI/CD with features like Jenkins-as-a-Service and OpenShift Pipelines.
Docker Continuous Delivery Workshop slide in Docker Training & Workshop for DevOps and Continuous Delivery at OSS Festival 2014 Thailand on October 11, 2014
The document discusses Docker's support for multiple CPU architectures and operating systems through multi-architecture container images and orchestration. It explains how Docker images are tied to a specific OS and CPU, requiring multi-arch images to run universally. It demonstrates building and distributing multi-arch images, and how Docker Swarm and Compose support placement and constraints for multi-arch orchestration. It concludes that maintaining multi-arch images takes effort but provides portability, and that Docker EE supports orchestrating Linux, Windows, IBM Z and Power systems through one interface.
Criando pipelines de entrega contínua multilinguagem com Docker e JenkinsCamilo Ribeiro
Palestra apresentada no QCon do Rio de Janeiro em 2015, sobre docker, jenkins, job dsl e automação de uma pipeline.
Exemplos e código podem ser encontrados em: https://github.com/camiloribeiro/cdeasy
Get hands-on with security features and best practices to protect your containerized services. Learn to push and verify signed images with Docker Content Trust, and collaborate with delegation roles. Intermediate to advanced level Docker experience recommended, participants will be building and pushing with Docker during the workshop.
Led By Docker Security Experts:
Riyaz Faizullabhoy
David Lawrence
Viktor Stanchev
Experience Level: Intermediate to advanced level Docker experience recommended
The document discusses using Docker as a development environment. It explains what Docker is, how it works using images and containers, and its benefits like having the same environment locally as production. It then provides examples of using Docker with Ruby on Rails applications, including creating Dockerfiles, using Docker Compose to run multiple services like the app and database, and caching gems with a Docker volume. Links are also included for additional reading on using Docker for development.
This document provides an overview of Docker for developers. It discusses why Docker is useful for building applications, including portability across machines, isolating dependencies, and creating development environments that match production. Benefits of Docker like lightweight containers, a unified build process with Dockerfiles, standardized images from Docker Hub, and fast container startup times are outlined. Some cons like only working on Linux and added complexity are noted. Using Docker with Vagrant for a portable development environment is presented. Key Docker CLI commands and Docker Compose for defining multi-container apps are covered. Tips for debugging running containers are provided.
Docker is a tool that allows developers to package applications and dependencies into containers that can be run anywhere. The document discusses how Docker eliminates complexity by allowing developers to build, ship and run distributed applications using containers. It provides instructions on how to install Docker and create a simple "hello world" Docker container to demonstrate its basic functionality.
This document provides an overview of Docker for developers. It begins with an agenda that covers Docker containers, images, networking, volumes, UI tools, Dockerfiles, Docker Compose, and best practices. It then defines Docker and containers, discusses the benefits of containers over virtual machines. It covers key Docker concepts like images, containers, registries. It also discusses tools like Dockerfile, Docker Compose, Portainer, Kitematic. The document provides examples of common Docker commands and best practices for using resources efficiently and securely.
- Docker allows isolating applications from their environment and packaging them with their dependencies to run consistently on any infrastructure.
- Docker for Windows uses Hyper-V to run a Linux VM for Docker containers. Windows Server containers run natively on Windows.
- Visual Studio 2017 integrates Docker tools to build, run, and debug .NET Core applications using Dockerfiles and docker-compose.
- Docker images can be deployed to cloud platforms like Azure App Service for Linux or container orchestration services like Kubernetes.
This document discusses Docker, DevAssistant, and how they can help with development workflows. It summarizes that Docker allows for containerization of applications and their dependencies to enable portable deployment. While Docker simplifies development in some ways, properly setting up related containers and services can be complex. DevAssistant aims to address this by providing plugins to automate common development tasks like initializing projects, installing dependencies, and configuring container-based environments. The document demonstrates how DevAssistant can help simplify using Docker for development. It concludes with information on a competition to earn a free beer by following instructions using DevAssistant.
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.
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.
1. Docker is a container platform that packages applications and dependencies to run seamlessly in any computing environment. It helps eliminate issues caused by differences in computing environments.
2. Kitematic provides a graphical user interface for Docker that makes it easy to run Docker containers without using the command line. It allows visually managing containers.
3. The Docker CLI can be used to run containers by pulling images from Docker Hub, a registry for Docker images, and using commands like docker run to launch containers from those images.
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.
ContainerDayVietnam2016: Dockerize a small businessDocker-Hanoi
This document discusses how Docker can transform development and deployment processes for modern applications. It outlines some of the challenges of developing and deploying applications across different environments, and how Docker addresses these challenges through containerization. The document then provides examples of how to dockerize a Rails and Python application, set up an Nginx reverse proxy with Let's Encrypt, and configure a Docker cluster for continuous integration testing.
Docker, a new LINUX container technology based light weight virtualizationSuresh Balla
Docker is a tool that allows applications to run reliably from one computing environment to another in lightweight execution environments called containers. It solves the problem of differences in computing environments by running applications within standardized containers that have all their dependencies, so they can run on any Docker host regardless of the underlying infrastructure. The presentation demonstrated how Docker works, how to build Docker images using Dockerfiles, and how Docker is being used by companies and integrated into platforms like OpenStack.
This document provides an introduction to Docker. It describes Docker as a platform for running software in isolated containers. It discusses how Docker allows running multiple software versions simultaneously and makes software easily installable and disposable. It covers Docker concepts like images, containers, Dockerfiles for building images, and running containers from images. It also discusses Docker networking, Docker Compose for defining multi-container apps, and tools for monitoring Docker performance and usage.
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.
This document discusses using Jenkins and Docker together for continuous integration and continuous delivery (CI/CD) workflows. It provides an overview of continuous integration, continuous delivery, Jenkins, and Docker. It then demonstrates setting up a CI/CD pipeline using Jenkins and Docker to build, test, and deploy a sample voting application across multiple Docker nodes. The pipeline includes building Docker images from source code in Jenkins, running builds and tests on commits, and deploying updated images to a Docker swarm cluster.
Docker is a tool that allows applications to run in isolated containers to make them portable and consistent across environments. It provides benefits like easy developer onboarding, eliminating application conflicts, and consistent deployments. Docker tools include the Docker Engine, Docker Client, Docker Compose, and Docker Hub. Key concepts are images which are templates for containers, and containers which are where the code runs based on an image. The document outlines how to build custom images from Dockerfiles, communicate between containers using linking or networks, and deploy containers using Docker Compose or in the cloud.
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.
Experts Live Europe 2017 - Why you should care about Docker - an introductionMarc Müller
The popularity of Docker has grown massively in recent years. So what are the benefits for development and operations? This talk provides you a proper introduction into the topic and answers the questions around the differences between Linux and Windows containers, the development workflow and enterprise grade hosting scenarios.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
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!
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
2. Agenda
● Docker Overview
● Popular Vocabularies
● Some Geek Stuffs
● More Technical
Stuffs with
live demos
● Docker Compose
with live demo
● QA Session
6. What is Docker?
● An open platform to build, ship, and run distributed applications, whether on
laptops, data center VMs, or the cloud.
● Automates the deployment of applications inside containers.
13. Docker Vocabularies
Docker Container
A standardized unit of software
Provides OS level virtualization
Docker Image
Includes code, libraries & environment
Container is a runtime instance of an
image
Docker Hub / Store
Share images using Docker Hub repositories
Buy certified images from Docker store**
Docker Volume
Define data volumes for a service
Persist even when containers are
terminated
26. Docker Set Environment Variable
Command:
docker run -e <ENVIRONMENT-VARIABLE-1>=<VALUE-1> <ENVIRONMENT-VARIABLE-
2>=<VALUE-2> <image-name>
Example:
docker run -e MYSQL_ROOT_PASSWORD=root -e MYSQL_USER=root -e
MYSQL_PASSWORD=root -e MYSQL_DATABASE=mydb mysql
27. Docker Hub AKA Docker Cloud
Login Command:
docker login
Tag your Image for Docker Hub:
docker tag my_image $DOCKER_ID_USER/my_image
Push your Image to Docker Hub:
docker push $DOCKER_ID_USER/my_image
Push your Image for Docker Hub:
docker pull $DOCKER_ID_USER/my_image
28. Docker Useful Commands
Remove Container:
docker rm <container-id>
Show running container:
docker ps
Show all containers:
docker ps -a
Docker shell:
docker exec -it <container-id-OR-name> bash
29. Docker Compose
● Tool for defining and running multi-container
Docker applications
● Use a YAML file to configure application’s
services
● Call all the services using single command
● Same everywhere:
○ Production
○ Staging
○ Development
○ Testing
○ CI
30. Docker Compose Useful Commands
Build Containers:
docker-compose build
Create and start containers:
docker-compose up
Stop and remove containers, networks, images, and volumes:
docker-compose down
Execute a command in a running container:
docker-compose exec