Google Cloud Skills Boost

Kubernetes Solutions

8 hours Expert universal_currency_alt 38 Credits
Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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  • Lab

    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.

  • Lab

    Using Kubernetes Engine to Deploy Apps with Regional Persistent Disks

    In this lab you will learn how to configure a highly available application by deploying WordPress using regional persistent disks on Kubernetes Engine.

  • Lab

    NGINX Ingress Controller on Google Kubernetes Engine

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

  • Lab

    Distributed Load Testing Using Kubernetes

    Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

  • Lab

    Running Dedicated Game Servers in Google Kubernetes Engine

    This lab will show you how to use an expandable architecture for running a real-time, session-based multiplayer dedicated game server using Kubernetes on Google Container Engine.

  • Lab

    Awwvision: Cloud Vision API from a Kubernetes Cluster

    This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

  • Lab

    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.

  • Lab

    Deploy a Web App on GKE with HTTPS Redirect using Lets Encrypt

    This lab shows you how to deploy a web app with a browser-trusted TLS certificate. You also deploy an HTTPS redirect on GKE using Let's Encrypt, NGINX Ingress, and Cloud Endpoints.

  • info
    Quest Info
    This Quest builds on an understanding of Kubernetes and the Google Kubernetes Engine, and extends basic GKE operations into integrations with other GCP services. It is recommended that the student has earned the Badge for the Cloud Architecture Quest and the Kubernetes in the Google Cloud Quest before beginning.
    Available languages
    English, français, español (Latinoamérica), 日本語, português (Brasil), and Deutsch
    What do I do when I finish this quest?
    After finishing this quest, you can explore additional content in your learning path or browse the learning catalog.
    What badges can I earn?
    Upon finishing a quest, you will earn a badge of completion. Some quests test your ability to apply your knowledge via a final assessment challenge lab. For these quests, you will receive a skill badge. Badges can be viewed on your profile and shared with your social network.

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