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Implementing Fully-Automated Deployment in a CD Pipeline

Many companies that practice continuous deployment use a hands-free, fully-automated deployment model. This allows them to ship code to production with various automated tests and sanity checks built into the process, bypassing the need for human intervention. In this lesson, you will implement a basic sanity check and see a simple fully-automated deployment pipeline in action. This will give you a hands-on introduction to the concept of fully-automated deployments.

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Path Info

Clock icon Intermediate
Clock icon 1h 30m
Clock icon Jul 08, 2018

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Table of Contents

  1. Challenge

    Prepare the Jenkins environment and verify your configuration with an initial deploy.

    To accomplish this, you will need to do the following steps:

    • Fork the sample source code at:
    • Change the DOCKER_IMAGE_NAME at the top of the Jenkinsfile to use your Docker Hub username instead of willbla.
    • Log in to Jenkins.
    • Add Jenkins credentials for GitHub, Docker Hub, and the Kubernetes cluster.
    • Set up automatic GitHub hook management in Jenkins.
    • Create a train-schedule project to build from your GitHub fork, and configure it to trigger automatically using a webhook.
    • Successfully run, approve, and deploy a build.
  2. Challenge

    Add a smoke test with automated deployment and remove the human approval step from the pipeline, then deploy.

    Do these steps to complete this:

    • Create a Jenkins environment variable called KUBE_MASTER_IP and set it to the Kubernetes master public IP.
    • Add a smoke test to verify that the canary deployment is responsive.
    • Remove the human input step from the deployment.
    • Merge the code from the new-code branch into your master branch to initiate an automated deployment.

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