Docker. Micro services for lazy developers
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This document discusses using Docker and microservices to build applications. It introduces Docker and how containers work at the process level in an isolated and lightweight way. It demonstrates how to build Dockerfiles for Node.js and Python applications, use Docker Hub for images, and run multi-container apps with Docker Compose. Some challenges of Docker like learning curve, build time, and file refresh are also outlined.
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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.
Docker+java
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.
A Gentle Introduction to Docker and Containers
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.
Docker for local development
Docker allows developers to create virtual environments on their local machines for testing and building projects. It provides consistent environments that are independent of the host machine, making it easy for teams to ensure their projects work the same on any machine. While Docker works natively on Linux, additional tools are required to use it on macOS, with some issues around shared folders that can be resolved through NFS mounting.
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Talk from Cape Town PHP meetup on Feb. 7, 2016:
https://www.meetup.com/Cape-Town-PHP-Group/events/237226310/
Code: https://github.com/zoidbergwill/kubernetes-php-examples
Slides as markdown: http://www.zoidbergwill.com/presentations/2017/kubernetes-php/index.md
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Introduction to Docker at SF Peninsula Software Development Meetup @Guidewire
This document provides an introduction and overview of Docker and containers. It discusses that Docker is an open source tool that allows applications to be packaged with all their dependencies and run as isolated processes on any machine. Containers provide lightweight virtualization that improves efficiency by sharing resources but still isolating processes. The document outlines how Docker uses containers powered by Linux namespaces and cgroups to package and deploy applications easily and consistently across environments.
Docker and-containers-for-development-and-deployment-scale12x
This document discusses Docker and containers. It begins with an introduction to Docker and the container model. It explains that containers provide isolation using namespaces and cgroups. Containers deploy applications efficiently by sharing resources and deploying anywhere due to standardization. The document then covers building images with Dockerfiles for reproducible builds. It concludes by discussing Docker's future including networking, metrics, logging, plugins and orchestration.
Lightweight Virtualization with Linux Containers and Docker | YaC 2013
This document provides an overview of lightweight virtualization using Linux containers and Docker. It begins by explaining the problems of deploying applications across different environments and targets, and how containers can help solve this issue similarly to how shipping containers standardized cargo transportation. It then discusses what Linux containers are, how they provide isolation using namespaces and cgroups. It introduces Docker and how it builds on containers to further simplify deployment by allowing images to be easily built, shared, and run anywhere through standard formats and tools.
Lightweight Virtualization with Linux Containers and Docker I YaC 2013
Docker provides a standardized way to build, ship, and run Linux containers. It uses Linux kernel features like namespaces and cgroups to isolate containers and make them lightweight. Docker allows building container images using Dockerfiles and sharing them via public or private registries. Images can be pulled and run anywhere. Docker aims to make containers easy to use and commoditize the container technology provided by Linux containers (LXC).
Introduction to containers
This is a Containers 101 slide. It introduces containers, it's internals, i.e., namespaces and cgroups and it's use cases.
Docker in everyday 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.
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Introduction to Docker, December 2014 "Tour de France" Bordeaux Special Edition
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Docker. Micro services for lazy developers
- 1. Micro Services for Lazy Developers Eugene Krevenets github: http://hyzhak.github.io Docker
- 3. Intro / Other tools
- 4. Intro / All in one
- 5. Intro / My experience ● node + mongodb ● node + postgres ● python + postgres ● and more ● ...
- 6. Intro / My other experience sometimes they come back
- 7. How does it works / Lightweight Containers operate at the process level - runC (libcontainer)
- 8. How does it works / Isolated ➔ Single Responsibility. One service - On Container ➔ Share resource between containers (Volume, Network)
- 9. How does it works / Command line
- 10. How does it works / Kitematic
- 11. How does it works / For None-Linux Users ➔ Docker-machine (VirtualBox) ➔ Docker-compose ➔ Docker
- 12. Let’s play / Inheritance
- 13. Let’s play / Solo for Nodejs FROM node:5.2 RUN mkdir /app WORKDIR /app COPY package.json /app/ RUN npm install
- 14. Let’s play / Solo for Python FROM python:3.5.0 RUN apt-get update && apt-get install -y libmemcached-dev RUN mkdir /app COPY requirements.txt /app/ WORKDIR /app RUN pip3 install -r requirements.txt
- 15. Let’s play / Docker Hub
- 16. Let’s play / Ready made Images
- 17. Let’s play / Django Duet db: image: postgres web: build: . command: python manage.py runserver 0.0.0.0:8000 volumes: - .:/code ports: - "8000:8000" links: - db
- 18. Let’s play / Start it $ docker-compose up
- 19. Let’s play / Start it. Log
- 20. Pit trap ➔ Learning curve ➔ Build time (Layering) ➔ File refresh (use nodemon --legacy-watch key) ➔ Performance ➔ Dockerfile should be at the top ➔ Sometimes Linux VM can breaks itself (VirtualBox)
- 21. Thanks! Questions? My Contacts Eugene Krevenets github: http://hyzhak.github.io twitter: hyzhak / hyzhak_en