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Práctica Jenkins

1. Desplegar Jenkins en K8s
2. Conectar Jenkins con K8s
3. Instalar los plugins de docker y K8s
4. Crear un Pod Template con el container Docker
5. Crear un Pipeline (a partir de un Jenkinsfile) que compile el dockerfile del siguiente proyecto https://github.com/nelsonyaccuzzi/web-go-public
6. Crear un container que tenga solo el binario de kubectl, pushearlo a dockerhub
7. Agregar el container al pod template que anteriormente creamos

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http:
  services:
    canary:
      weighted:
        services:
          # Load balancing between Traefik services
          - name: app1_svc@docker
            weight: 1
          - name: app2_svc@docker
            weight: 5

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# docker stack deploy -c stack-canary.yml canary --with-registry-auth --prune
version: "3.7"

services:
  app1:
    image: jakubhajek/app1-node:v1
    healthcheck:
      test: wget --quiet --tries=1 --spider http://localhost:3000/ || exit 1
      interval: 3s
      timeout: 1s

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log:
  level: info
  format: json

accessLog:
  format: json
  bufferingSize: 5

providers:
  docker:

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# Maintainer: Jakub Hajek, jakub.hajek@cometari.com
#
# docker stack deploy -c stack-elastic.yml elastic
#
# The stack creates Elasticsearch cluster consiting of
# - 3 dedicated master nodes in order to keep quorum
# - 4 dedicated data nodes to manage CRUD,
#
# Docker compose file to easily deploy Elasticsearch cluster 7.x on Docker Swarm cluster.

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Docker on WSL (Windows 10 Home / Docker Toolbox) (Virtualbox instead Hyper-V)

Docker on WSL communicates with Docker on Windows from Docker Toolbox.

Install VirtualBox and Docker Toolbox on Windows.

Docker on Windows uses VM for Linux based docker containers.

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pipeline {
    agent { node { label 'swarm-ci' } }

    environment {
        TEST_PREFIX = "test-IMAGE"
        TEST_IMAGE = "${env.TEST_PREFIX}:${env.BUILD_NUMBER}"
        TEST_CONTAINER = "${env.TEST_PREFIX}-${env.BUILD_NUMBER}"
        REGISTRY_ADDRESS = "my.registry.address.com"

        SLACK_CHANNEL = "#deployment-notifications"