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Introduction to Kubernetes using Docker

Course Summary

Gain in-depth knowledge on how Kubernetes is used to orchestrate distributed applications by learning about components in Kubernetes architecture and deploying and managing a cluster.


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    Course Syllabus


    Course preview

    Introduction to Kubernetes using Docker

    Module 01 - Course Introduction 16:07

    1.1 Course Structure 07:07

    1.2 Course Agenda 09:00

    Module 02 - Getting Started 1:32:48

    2.1 Evolution Of Applications 09:13

    2.2 Introduction to Google Cloud Console 10:07

    2.3 World of Microservices 04:54

    2.4 Creating a Free Google Cloud Account 05:30

    2.5 What is a Container 12:26

    2.6 What is Docker 09:19

    2.7 Installing Virtual Box 05:06

    2.8 Installing Docker 07:37

    2.9 Docker Hub 05:17

    2.10 What is Kubernetes 07:54

    2.11 What is Google Cloud Shell 07:35

    2.12 Google Container Engine Compute 07:50

    Module 03 - Working with Docker 48:07

    3.1 Deep Divein to Architecture 13:25

    3.2 Installing Apps with Native OS Tools Ubuntu 11:40

    3.3 Running Images with Docker 03:24

    3.4 Docker Hub Pull 06:15

    3.5 Docker Build Create Own Images 13:23

    Module 04 - All About Kubernetes 47:34

    4.1 Kubernetes Revisited 08:24

    4.2 Creating New Project 06:24

    4.3 Creating Cluster 10:28

    4.4 Kubernetes UI talking to Clusters 08:00

    4.5 Deploying App to Cluster WP 07:59

    4.6 Push Images Container Registry 06:19

    Module 05 - Real World Projects 1:10:59

    5.1 Creating Cluster Guest Book 13:47

    5.2 Deploying Redis Master 09:51

    5.3 Deploying Redis Master Service 03:44

    5.4 Deploy Redis Slave Controller 07:13

    5.5 Deploy Redis Slave Service 04:36

    5.6 Deploy Front End 04:32

    5.7 Deploy External IP 13:06

    5.8 Project Cleanup 09:18

    5.9 Project Summary 04:52

    Module 06 - Conclusion 04:22

    6.1 Course Recap 04:22

    That was just a sneak-peak into the lesson.
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Course Fee:
USD 149

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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