Deploying Containerized Workloads Using Google Cloud Kubernetes Engine

Focused View

Janani Ravi

2:51:03

107 View

1. Course Overview

1. Course Overview.mp4

02:22

2. Introducing Google Kubernetes Engine (GKE)

01. Module Overview.mp4

01:32

02. Prerequisites and Course Outline.mp4

03:06

03. Introducing Containers.mp4

05:23

04. Introducing Kubernetes.mp4

06:38

05. Clusters, Nodes, Node Pools, and Node Images.mp4

03:52

06. Pods.mp4

07:04

07. Kubernetes as an Orchestrator.mp4

03:46

08. Replication and Deployment.mp4

04:00

09. Services.mp4

02:15

10. Volume Abstractions.mp4

04:05

11. Load Balancers.mp4

02:35

12. Ingress.mp4

01:54

13. StatefulSets and DaemonSets.mp4

01:58

14. Horizontal Pod Autoscaler.mp4

03:59

15. Pricing.mp4

02:10

3. Creating and Administering GKE Clusters

01. Module Overview.mp4

01:06

02. Web Console- Creating a GKE Cluster.mp4

06:59

03. Web Console- Creating Deployments.mp4

04:50

04. Web Console- Exposing a Service.mp4

02:09

05. Behind the Scenes Firewall Rules and the Load Balancer.mp4

02:49

06. Web Console- Deleting the Service Deployment and the Cluster.mp4

02:06

07. gcloud- Creating a Regional Cluster.mp4

05:16

08. gcloud- Creating and Updating Zonal Clusters.mp4

03:46

09. Configuring Custom Node Pools and Resizing Clusters.mp4

03:40

10. Using kubectl to Manage Deployments and Expose Services.mp4

05:23

11. Using kubectl to Update Clusters Delete Services and Deployments.mp4

02:09

12. Configure a Horizontal Pod Autoscaler Using kubectl.mp4

03:37

13. Scaling Clusters Using the Horizontal Pod Autoscaler.mp4

03:27

4. Deploying Containerized Workloads to GKE Clusters

01. Module Overview.mp4

01:01

02. Creating a Custom Docker Image.mp4

03:29

03. Registering a Custom Image with the Google Container Registry.mp4

02:18

04. Deploying a Custom Image and Exposing a Service.mp4

02:34

05. Creating and Configuring Ingress Objects.mp4

03:09

06. Working with Ingress Objects.mp4

02:52

07. Persistent Volume Claims.mp4

03:42

08. Deploying and Exposing Multiple Services.mp4

06:00

09. Exploring Services Pods Using kubectl.mp4

02:01

10. Binary Authorization.mp4

06:02

11. Create and Deploy a Custom Test Container.mp4

02:45

12. Enable Binary Authorization and Secure Cluster with a Policy.mp4

02:26

13. Create a Note and Associate It with an Attestor.mp4

04:14

14. Generate and Associate a Public Key with the Attestor.mp4

03:32

15. Deploy Signed Containers.mp4

03:10

5. Monitoring GKE Clusters Using Stackdriver

1. Module Overview.mp4

00:50

2. Monitoring Clusters Using Stackdriver and Prometheus.mp4

01:54

3. Enabling Stackdriver Kubernetes Monitoring.mp4

02:29

4. Stackdriver Kubernetes Monitoring.mp4

04:49

5. Configuring and Viewing Alerts.mp4

02:43

6. Prometheus Metrics on Stackdriver.mp4

03:30

7. Summary and Further Study.mp4

01:37

Description

This course deals with the Google Kubernetes Engine, the most robust and seamless way to run containerized workloads on the GCP. Cluster creation, the use of volume storage abstractions, and ingress and service objects are all covered in this course.

What You'll Learn?

Running Kubernetes clusters on the cloud involves working with a variety of technologies, including Docker, Kubernetes, and GCE Compute Engine Virtual Machine instances. This can sometimes get quite involved.

In this course, Deploying Containerized Workloads Using Google Cloud Kubernetes Engine, you will learn how to deploy and configure clusters of VM instances running your Docker containers on the Google Cloud Platform using the Google Kubernetes Service.

First, you will learn where GKE fits relative to other GCP compute options such as GCE VMs, App Engine, and Cloud Functions. You will understand fundamental building blocks in Kubernetes, such as pods, nodes and node pools, and how these relate to the fundamental building blocks of Docker, namely containers. Pods, ReplicaSets, and Deployments are core Kubernetes concepts, and you will understand each of these in detail.

Next, you will discover how to create, manage, and scale clusters using the Horizontal Pod Autoscaler (HPA). You will also learn about StatefulSets and DaemonSets on the GKE.

Finally, you will explore how to share states using volume abstractions, and field user requests using service and ingress objects. You will see how custom Docker images are built and placed in the Google Container Registry, and learn a new and advanced feature, binary authorization.

When you’re finished with this course, you will have the skills and knowledge of the Google Kubernetes Engine needed to construct scalable clusters running Docker containers on the GCP.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Kubernetes

Google Cloud

Janani Ravi

Instructor's Courses

Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing high-quality content for technical skill development. Loonycorn is working on developing an engine (patent filed) to automate animations for presentations and educational content.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.