Getting Started with Google Kubernetes Engine

Name: Getting Started with Google Kubernetes Engine
Start: 2023-01-09 00:00:00
Location: Virtual Classroom

Learn how to deploy, manage and scale containerized applications on Kubernetes, powered by Google Cloud on this one day instructor led course.

1 day course

Supporting material

Virtual, Private

Virtual Classroom

A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

From understanding container basics through to deploying applications, we’ll help show you how to get started with Google Kuberbetes Engine.

Jellyfish has been selected by Google to facilitate the delivery of this one-day course. The day will start with an introduction to containers, Docker, and the Google Container Registry.

You’ll learn to how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.

We’ll also cover how to continuously deploy new code in a Kubernetes cluster to provide application updates.

This Getting started with Google Kubernetes Engine is offered as a private training session and can be delivered at our own training venue in the World Trade Center, Barcelona, any location of your choice or via Virtual Classroom.

Course overview

Who should attend:

This course is intended for Application developers, Cloud Solutions Architects, DevOps Engineers and IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform will also benefit from attending this course.

Walk away with the ability to:

Explain the basics of containers
Containerize an existing application
Describe Kubernetes concepts and principles
Deploy applications to Kubernetes using the CLI
Create continuous delivery pipelines using Spinnaker and/or Jenkins

Prerequisites

To get the most out of this course you should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server.

It's recommended you also have Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.

Course Agenda

Module 1: Introduction to Containers and Docker

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

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

Module 4: Creating a Continuous Delivery Pipeline

Provision Spinnaker or Jenkins in your Kubernetes cluster
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline
Create a continuous delivery pipeline and start it manually or automatically with a code change
Implement a canary deployment that hosts two versions of your application in production for release testing

Upcoming courses

Virtual Classroom Getting Started with Google Kubernetes Engine	Mon, Jan 09 2023 430 € ex IVA	ADD TO BASKET
Virtual Classroom Getting Started with Google Kubernetes Engine	Mon, May 08 2023 430 € ex IVA	ADD TO BASKET
Virtual Classroom Getting Started with Google Kubernetes Engine	Mon, Sep 11 2023 430 € ex IVA	ADD TO BASKET

Virtual Classroom