This class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

This course teaches participants the following skills:
Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform
Understand how pod networking works in Kubernetes Engine
Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes
Manage access control using Kubernetes
RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts
Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine

  • Introduction to Google Cloud Platform

  • Use the Google Cloud Platform Console
    Use Cloud Shell
    Define cloud computing
    Identify GCPs compute services
    Understand regions and zones
    Understand the cloud resource hierarchy
    Administer your GCP resources

  • 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 GCP compute platforms

  • Kubernetes Architecture

  • Understand the architecture of Kubernetes- pods, namespaces
    Understand the control-plane components of Kubernetes
    Create container images using Google Cloud Build
    Store container images in Google Container Registry
    Create a Kubernetes Engine cluster

  • Kubernetes Operations

  • Work with the kubectl command
    Inspect the cluster and Pods
    View a Pods console output
    Sign in to a Pod interactively

  • Deployments, Jobs, and Scaling

  • Create and use Deployments
    Create and run Jobs and CronJobs
    Scale clusters manually and automatically
    Configure Node and Pod affinity
    Get software into your cluster with Helm charts and Kubernetes Marketplace

  • GKE Networking

  • Create Services to expose applications that are running within Pods
    Use load balancers to expose Services to external clients
    Create Ingress resources for HTTP(S) load balancing
    Leverage container-native load balancing to improve Pod load balancing
    Define Kubernetes network policies to allow and block traffic to pods

  • Persistent Data and Storage

  • Use Secrets to isolate security credentials
    Use ConfigMaps to isolate configuration artifacts
    Push out and roll back updates to Secrets and ConfigMaps
    Configure Persistent Storage Volumes for Kubernetes Pods
    Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts

  • 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 cluster role bindings for accessing cluster-scoped resources
    Define Kubernetes pod security policies
    Understand the structure of GCP IAM
    Define IAM roles and policies for Kubernetes Engine cluster administration

  • Logging and Monitoring

  • Use Stackdriver to monitor and manage availability and performance
    Locate and inspect Kubernetes logs
    Create probes for wellness checks on live applications

  • 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 GCP storage services
    Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application


This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.




To get the most out of this course, participants should have: Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience Basic proficiency with command-line tools and Linux operating system environments.


Length: 3.0 days (24 hours)


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