Docker - A Container Full of Chocolatey

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The document discusses Docker basics, using Chocolatey in containers, and orchestrating services. It covers running applications in containers using Dockerfiles for deployment, packaging applications into images stored in a registry. It describes using Chocolatey in containers for quick tests and maintaining packages. An example "appetizer app" Node.js web server is described. Orchestrating services with Docker Swarm is covered, including initializing a swarm, joining nodes, and deploying stacks with an ingress network.

Stefan Scherer, Sr. Software Engineer
SEAL Systems

Docker basics
Chocolatey in containers
Scaling services

Docker basics
Chocolatey in containers
Orchestrating services

Container running application
Dockerfile deployment script
Image packaged application
Registry image store

mcr.microsoft.com/windowsservercore
91a76026d029 1.5 GB
971f4b1cfd61 24 MB
! Image layers (R/O)
Thin R/W layer Container layer

Quick tests
Maintaining packages
Base image for other apps
Keep Dockerfiles simple

The appetizer app
Node.js web server
Pick random photo
Serve this photo

docker swarm init
docker swarm join
docker stack deploy
Ingress network

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Presented by Sandro Cirulli, Platform Tech Lead, Oxford University Press Oxford University Press (OUP) recently started the Oxford Global Languages (OGL) initiative (http://www.oxforddictionaries.com/words/oxfordlanguages) which aims at providing language resources for digitally under represented languages. In August 2015 OUP launched two African languages websites for Zulu (http://zu.oxforddictionaries.com) and Northern Sotho (http://nso.oxforddictionaries.com). The backend of these websites is based on an API retrieving data in RDF from a triple store and delivering data to the frontend in JSON-LD. The entire micro-service infrastructure for development, staging, and production runs on Docker containers in Amazon EC2 instances. In particular, we use Jenkins to rebuild the Docker image for the API based on a Python Flask application and Docker Compose to orchestrate the containers. A typical CI workflow is as follows: - a developer commits code to the codebase - Jenkins triggers a job to run unit tests - if the unit tests are successful, the Docker image of the Python Flask application is rebuilt and the container is restarted via Docker Compose - if the unit tests or the Docker build failed, the monitor view shows the Jenkins jobs in red and displays the name of the possible culprit who broke the build. A demo of this CI workflow is available at http://www.sandrocirulli.net/continuous-integration-with-jenkins-docker-and-compose

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