Getting Started with Google Kubernetes Engine
- Created By raju2006
- Last Updated December 1st, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Master the art of containerizing workloads using Docker containers, deploying them on Google Kubernetes Engine clusters, and efficiently scaling them to accommodate growing traffic demands. This course also equips you with the skills to implement continuous deployment for seamless application updates within a Kubernetes cluster.
Course Code/Duration:
BDT102 / 1 Day
Learning Objectives:
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.
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 Webserver
- Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.
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.
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 Outline:
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.
Training material provided:
Yes (Digital format)
The curriculum is empty
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