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CLOUD, IOT, Kubernetes, machinelearning, bigdata, virtualmachines, bigquery, developers, virtualcontainers, app, iaas, paas, saas, serverless, google​ ​kubernetes​ ​engine, devops

NewCondition 1800.00
Pre-Order

DURATION
1 day

DESCRIPTION
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.

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
Set up a continuous delivery pipeline using Jenkins

AUDIENCE
This class is intended for the following participants:
Application developers, Cloud Solutions Architects, DevOps Engineers, 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

PREREQUISITES
To get the most 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

TOPICS
Module 1: Introduction to Containers and Docker
Acquaint yourself with containers, Docker, and the Google Container Registry.

Create​ ​a​ ​container
Package​ ​a​ ​container​ ​using​ ​Docker
Store​ ​a​ ​container​ ​image​ ​in​ ​Google​ ​Container​ ​Registry
Launch​ ​a​ ​Docker​ ​container
Module​ ​​2:​​ ​Kubernetes​ ​Basics

Deploy an application with microservices in a Kubernetes cluster.

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 and manage Kubernetes deployments.

Create a Kubernetes deployment
Trigger, pause, resume, and rollback updates
Understand and build canary deployments
Module​ ​​4:​​ ​Creating a Continuous Delivery Pipeline
Build continuous delivery pipelines using Spinnaker and/or Jenkins.

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.

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