Getting Started with Google Kubernetes Engine

PRICE
675 USD | 725 CAD
DURATION
1 Day(s)
COURSE
GCP-KUB
AVAILABLE FORMATS
Remote

About Course

Learn to containerize workloads in Docker containers deploy them to Kubernetes clusters provided by Google Kubernetes Engine and scale those workloads to handle increased traffic You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates


Prerequisite Courses

To get the most of out of this course, participants should have:

  • Basic proficiency with command-line tools and Linux operating system environments, as well as Web server
  • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.


Skills Gained

At the end of the course, you will be able to:

  • Understand container basics.
  • Containerize an existing application.
  • Understand Kubernetes concepts and principles.
  • Deploy applications to Kubernetes using the CLI.
  • Create continuous delivery pipelines using Spinnaker and/or Jenkins.


Who Can Benefit

This class is intended for the following participants:

  • Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers.
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.


Course Details

Course Outline

  • Create a container.
  • Package a container using Docker.
  • Store a container image in Google Container Registry.
  • Launch a Docker container.

Module 1: Introduction to Containers and Docker



Module 2: Kubernetes Basics
  • Provision a complete Kubernetes cluster using Kubernetes Engine.
  • Deploy and manage Docker containers using kubectl.
  • Break an application into microservices using Kubernetes’ Deployments and Services.


Module 3: Deploying to Kubernetes
  • Create a Kubernetes deployment.
  • Trigger, pause, resume, and rollback updates.
  • Understand and build canary deployments.

Class Schedule