Kubernetes in the Google Cloud
Advanced 10 Steps 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.
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.
يتناول هذا الدرس التطبيقي كيفية تحويل الترميز البرمجي إلى تطبيق منسوخ يعمل على 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.
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.
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.
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.
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.
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.