Description

Price: 3.00 USD | Size: 708 MB |   Duration : 3.35 Hours | 28 Video Lessons |

BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD | 4.9

 

Kubernetes on GKE

“Advanced Kubernetes on GKE Training Course”

 

Learn the fundamentals you need to use the Google Kubernetes engine.

 

Kubernetes is the de facto standard for running scalable workloads on-prem and across all major public clouds. Kubernetes on the Google Cloud Platform (GKE) was the first managed version of this container orchestrator on a major public cloud and remains until today one of the most accessible to beginners.

In the Kubernetes on GKE video course, Ernesto Garbarino takes you through the Google Kubernetes Engine and enables you to grasp the fundamentals of running scalable and highly available workloads on GKE and leveraging the ease of use of this platform. The class focuses on the portable capabilities that can be leveraged in other Kubernetes implementations as well.

Throughout the course, Ernesto will cover key Kubernetes fundamentals through a series of demos which include setting up your Google Kubernetes Engine, creating and destroying Kubernetes Clusters, and running containerized workloads, ranging from simple Linux commands, all the way up to a custom fault-tolerant distributed database. By the end of the course, you will gain the confidence to run, scale, and control applications on Kubernetes, and where to explore further.

Topics covered include: 

• Getting Started with GKE: Provisioning GKE services on the Google Cloud Platform, setting up a Kubernetes cluster and managing using the command line interface.
• Pods: Running and managing containerized workloads, as well as understanding their life cycle.
• High Availability and Service Discovery: Scaling containerized workloads, making them highly-available, and making them accessible on the public internet.
• Jobs and Daemonsets: Running batch jobs, cron jobs, and server-wide daemonized processes.
• Configuration and StatefulSets: Externalizing configuration properties, storing sensitive information (secrets), and deploying persistent, fault-tolerant, distributed workloads.

 

Skill Level:

• Beginner

 

Learn How To:

• Set up a Kubernetes Cluster on the Google Cloud Platform
• Launch and control containers throughout their life cycle
• Achieve zero-downtime deployments using the Service controller
• Apply externalized configuration principles using ConfigMap and Secrets

 

Who Should Take This Course: 

• Linux Application administrator who wants to learn how to manage workloads in the clouds de facto application runtime environment.
• Applications Developer who wants to learn how to create cloud native applications, as well as apply DevOps principles.
• You are looking to build a foundational understanding of the Google Kubernetes Engine

 

Table of Contents

 

Lesson 1: Getting Started with GKE

1.1 Introducing GKE

1.2 Setting Up the Google Cloud Shell and GKE

1.3 Creating and Destroying Kubernetes Clusters

 

Lesson 2: Pods

2.1 Launching Docker Containers Using Pods

2.2 Managing the Pods Lifecycle

2.3 Implementing Self-Healing Mechanisms

2.4 Segregating Workloads Using Namespaces

2.5 Selecting Objects using Labels

 

Lesson 3: High Availability and Service Discovery

3.1 Defining and Launching Deployments

3.2 Performing Rolling and Blue/Green Deployments

3.3 Instrumenting Static Scaling and Autoscaling

3.4 Configuring Pod-to-Pod Service Access

3.5 Publishing Services on the Public Internet

3.6 Performing Zero Downtime Deployments

 

Lesson 4: Jobs and Daemonsets  

4.1 Implementing Batch Processes Using Jobs

4.2 Scheduling Recurring Tasks Using CronJobs

4.3 Running Server-Wide Services Using DaemonSets

 

Lesson 5: Configuration and StatefulSets

5.1 Externalizing Configuration Using ConfigMap

5.2 Protecting Credentials Using Secrets

5.3 Instrumental Stateful Applications Using StatefulSets – Part I

5.4 Instrumental Stateful Applications Using StatefulSets – Part II