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Kubernetes in the Google Cloud

Advanced Labs 10H 25M 68 Credits

Kubernetes is the most popular container orchestration system and it was designed specifically with Google Cloud Platform integration in mind. In this advanced-level quest, you will get hands-on practice configuring Docker images and containers, deploying fully-fledged Kubernetes Engine applications, and integrating Slackbot and MongoDB databases with Kubernetes. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow.

Infrastructure Application Development Business Transformation

Quest Outline

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Introduction to Docker

In this lab you will familiarize yourself with the basic Docker container environment commands. You will create, run, and debug containers, and learn to pull and push images to and from Google Container Registry.

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Hello Node Kubernetes

In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.

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Orchestrating the Cloud with Kubernetes

In this lab you will learn how to: Provision a complete Kubernetes cluster using Google Container Engine; Deploy and manage Docker containers using kubectl; and Break an application into microservices using Kubernetes’ Deployments and Services.

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Managing Deployments Using Kubernetes Engine

Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.

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Continuous Delivery with Jenkins in Kubernetes Engine

In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.

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Running a MongoDB Database in Kubernetes with StatefulSets

Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.

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Build a Slack Bot with Node.js on Kubernetes

In this lab you'll learn how to build and run a Slack Bot with Google Cloud Platform uses Kubernetes Engine, a hosted version of Kubernetes. Watch the short video Build a Slack Bot with Node.js on Kubernetes

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Setting up a Private Kubernetes Cluster

Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.

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Helm Package Manager

This lab will NOT run in Europe or South America compute zones. Helm is a toolset for managing Kubernetes packages. In this lab you install the Helm server and client, install mysql via a chart, and test the installed mysql app.

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NGINX Ingress Controller on Google Kubernetes Engine

Hands-on lab to deploy the NGINX Ingress Controller on Google Kubernetes Engine.

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