Deploying Containerized Workloads Using Google Cloud Kubernetes Engine

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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.

1. Course Overview

1. Course Overview

2. Introducing Google Kubernetes Engine (GKE)

01. Module Overview

02. Prerequisites and Course Outline

03. Introducing Containers

04. Introducing Kubernetes

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

06. Pods

07. Kubernetes as an Orchestrator

08. Replication and Deployment

09. Services

10. Volume Abstractions

11. Load Balancers

12. Ingress

13. StatefulSets and DaemonSets

14. Horizontal Pod Autoscaler

15. Pricing

3. Creating and Administering GKE Clusters

01. Module Overview

02. Web Console- Creating a GKE Cluster

03. Web Console- Creating Deployments

04. Web Console- Exposing a Service

05. Behind the Scenes Firewall Rules and the Load Balancer

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

07. gcloud- Creating a Regional Cluster

08. gcloud- Creating and Updating Zonal Clusters

09. Configuring Custom Node Pools and Resizing Clusters

10. Using kubectl to Manage Deployments and Expose Services

11. Using kubectl to Update Clusters Delete Services and Deployments

12. Configure a Horizontal Pod Autoscaler Using kubectl

13. Scaling Clusters Using the Horizontal Pod Autoscaler

4. Deploying Containerized Workloads to GKE Clusters

01. Module Overview

02. Creating a Custom Docker Image

03. Registering a Custom Image with the Google Container Registry

04. Deploying a Custom Image and Exposing a Service

05. Creating and Configuring Ingress Objects

06. Working with Ingress Objects

07. Persistent Volume Claims

08. Deploying and Exposing Multiple Services

09. Exploring Services Pods Using kubectl

10. Binary Authorization

11. Create and Deploy a Custom Test Container

12. Enable Binary Authorization and Secure Cluster with a Policy

13. Create a Note and Associate It with an Attestor

14. Generate and Associate a Public Key with the Attestor

15. Deploy Signed Containers

5. Monitoring GKE Clusters Using Stackdriver

1. Module Overview

2. Monitoring Clusters Using Stackdriver and Prometheus

3. Enabling Stackdriver Kubernetes Monitoring

4. Stackdriver Kubernetes Monitoring

5. Configuring and Viewing Alerts

6. Prometheus Metrics on Stackdriver

7. Summary and Further Study

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تولید کننده: PluralSight