Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You’ll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.
This course teaches participants the following skills:
Understand how software containers work.
Understand the architecture of Kubernetes.
Understand the architecture of Google Cloud.
Understand how pod networking works in Google Kubernetes Engine.
Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands.
Launch, roll back, and expose jobs in Kubernetes.
Manage access control using Kubernetes RBAC and IAM.
Manage pod security policies and network policies.
Use Secrets and ConfigMaps to isolate security credentials and configuration artifacts.
Understand Google Cloud choices for managed storage services.
Monitor applications running in Google Kubernetes Engine.
To get the most out of this course, participants should have:
Completed “Google Cloud Fundamentals: Core Infrastructure” or have equivalent experience
This course is intended for the following participants:
Cloud architects, administrators, and SysOps/DevOps personnel
Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.
Module 1: Introduction to Google Cloud Platform
Use the Google Cloud Console
Use Cloud Shell
Define Cloud Computing
Identify Google Cloud Compute Services
Understand Regions and Zones
Understand the Cloud Resource Hierarchy
Administer your Google Cloud Resources
Module 2, Containers and Kubernetes in GCP
Create a Container Using Cloud Build
Store a Container in Container Registry
Understand the Relationship Between Kubernetes and Google Kubernetes Engine (GKE)
Understand how to Choose Among Google Cloud Compute Platforms
Module 3: Kubernetes Architecture
Understand the Architecture of Kubernetes: Pods, Namespaces
Understand the Control-plane Components of Kubernetes
Create Container Images using Cloud Build
Store Container Images in Container Registry
Create a Kubernetes Engine Cluster
Module 4: Kubernetes Operations
Work with the Kubectl Command.
Inspect the Cluster and Pods.
View a Pod’s Console Output.
Sign in to a Pod Interactively.
Module 5: Deployments, Jobs, and Scaling
Ways to Create Deployments
Services and Scaling
Jobs and CronJobs
Controlling Pod Placement
Affinity and Anti-Affinity
Pod Placement Example
Taints and Tolerations
Getting Software into your Cluster
Module 6: GKE Networking
Service Types and Load Balancers
How Load Balancers Work
Container-Native Load Balancing
Module 7: Persistent Data and Storage
The PersistentVolume Abstraction
More on PersistentVolumes
Module 8: Access Control and Security in Kubernetes and Kubernetes Engine
Understand Kubernetes Authentication and Authorization
Define Kubernetes RBAC Roles and Role Bindings for Accessing Resources in Namespaces
Define Kubernetes RBAC Cluster Roles and ClusterRole Bindings for accessing Cluster-scoped Resources
Define Kubernetes Pod Security Policies
Understand the Structure of IAM
Define IAM roles and Policies for Kubernetes Engine Cluster Administration
Module 9: Logging and Monitoring
Use Cloud Monitoring to monitor and manage availability and performance
Locate and inspect Kubernetes logs
Create probes for wellness checks on live applications
Module 10: Using GCP Managed Storage Services from Kubernetes Applications
Understand Pros and Cons for Using a Managed Storage Service Versus Self-managed Containerized Storage
Enable Applications Running in GKE to Access Google Cloud Storage Services
Understand Use Cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes Application
Module11: Logging and Monitoring
CI/CD for Google Kubernetes Engine
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline.
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