Example of using Docker 4 build documentation in Sphinx with latex support 4 executing code in many different programming languages without requiring a single compiler or script interpreter on your machine - docker exec 4 running gui app in docker at linux IPEX Meetup Brno, 9.3.2016 12
Example of using Docker 4 development without install ing many tools at local machine 4 Vagrant, Otto dev 4 continues integration using docker 4 Jenkins, TravisCI, CircleCI 4 DevOps platform for build, deploy and manage apps across any cloud IPEX Meetup Brno, 9.3.2016 13
Docker machine 4 Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. 4 part of Docker toolbox 4 replacement for boot2docker IPEX Meetup Brno, 9.3.2016 29
Docker swarm 4 Docker Swarm is native clustering for Docker. 4 Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Flynn, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself. IPEX Meetup Brno, 9.3.2016 30
wercker.yml example # The container definition we want to use for developing our app box: golang # Defining the dev pipeline dev: steps: - internal/watch: code: | go build ./... ./source reload: true IPEX Meetup Brno, 9.3.2016 42
Building a Go app for scratch containers build: box: google/golang steps: # Test the project - script: name: go test code: go test ./... # Statically build the project - script: name: go build code: CGO_ENABLED=0 go build -a -ldflags '-s' -installsuffix cgo -o app . # Copy binary to a location that gets passed along to the deploy pipeline - script: name: copy binary code: cp app "$WERCKER_OUTPUT_DIR" IPEX Meetup Brno, 9.3.2016 44
Apache Messos 4 Scalability to 10,000s of nodes 4 Fault-tolerant replicated master and slaves using ZooKeeper 4 Support for Docker containers 4 Native isolation between tasks with Linux Containers 4 Multi-resource scheduling (memory, CPU, disk, and ports) 4 Java, Python and C++ APIs for developing new parallel applications 4 Web UI for viewing cluster state IPEX Meetup Brno, 9.3.2016 48
Notes at the end 4 don't use Docker as VM 4 build & production images 4 tag every image using in production (not just latest) 4 big difference between languages (NodeJS & Go) 4 don't use latest Docker versions in production 4 try use dockerlint for your Dockerfiles IPEX Meetup Brno, 9.3.2016 49
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