GCPGSGKE - Getting Started with Google Kubernetes Engine
This course will teach you 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. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
? Understand container basics and containerize an existing application.
? Containerize an existing application.
? Deploy applications to Kubernetes using the CLI.
? Create continuous delivery pipelines using Spinnaker and/or Jenkins.
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.
? Executives and business decision makers evaluating the potential of GKE to address business needs.
The course includes presentations, demonstrations, and hands-on labs.
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.
Launch a solution using Cloud Marketplace.
Module 3: Deploying to Kubernetes
Create and manage Kubernetes deployments.
Create a Kubernetes deployment.
Trigger, pause, resume, and rollback updates.
Understand and build canary and blue-green deployments.
Module 4: Create 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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