Google Container Engine and Kubernetes

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Google Container Engine and Kubernetes

CLD-107

This 1 day instructor-led class introduces participants to Google Container Engine (GKE) and Kubernetes. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn the key concepts and practices for setting up and maintaining services using Google Container Engine.

Audience

Target Audience:
This class is intended for: Systems Operations professionals, Solution Developers, and Solutions Architects who want to use Google Container Engine to run services and applications.

Prerequisites:
Before attending this course, participants should have: u Basic prociency with command-line tools u Familiarity with one or more programming languages such as Java or Python u Familiarity with Docker and container technology

Course Topics

Module 1: Introducing Container Management from Google

Introducing Kubernetes and Container Engine
Container Engine Overview and Pricing
Introducing Google Container Registry
Hands-on: Build a custom docker image based on presupplied code
Hands-on: Push to Google Container Registry from the Cloud SDK

Module 2: Container Engine Fundamentals

Cluster Overview
Master Instance Components
High-level View of a Node
Hands-on: Create a container cluster using the Cloud Console

Module 3: Interacting with Container Engine

Cloud Console
Cloud SDK & kubectl
APIs
Hands-on: Create a container cluster using the Cloud SDK and interact using kubectl
Hands-on: Congure it as your default cluster

Module 4: Container Clusters

High-level Container Cluster Infrastructure
Anatomy of a Node
Working with Cluster(s)

Module 5: Pods

Overview of Pods & Use Cases
Life of a Pod
Working with Pods
Hands-on: Complete a template conguration manifest
Hands-on: Deploy the pod to a new GKE container cluster

Module 6: Replication Controllers

Overview of Replica Controllers
Usage Patterns
Working with Replication Controllers
CODELAB Complete a template conguration manifest le for a replication controller. Upload it to GKE to deploy a Redis cluster. Delete it and the associated pods by updating the value of the desired number of replicas

Module 7: Services

Overview and Benets of Services
Service Proxy
Working with Services
CODELAB This codelab is an integration exercise, using all of the resources covered in the course deploy a working application to GKE

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