Architecting with Google Kubernetes Engine (GKE) Training
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Architecting with Google Kubernetes Engine

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Learn to design, deploy, and manage containerized applications with Architecting with Google Kubernetes Engine training. Master Kubernetes and Google Cloud technologies for scalable and efficient cloud solutions.

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Overview

The Architecting with Google Kubernetes Engine (GKE) training provides in-depth knowledge to build, deploy, and manage containerized applications using Kubernetes on Google Cloud. This course covers key concepts like Kubernetes architecture, networking, security, logging, and monitoring, with a focus on deploying highly available and scalable solutions. Through hands-on labs, real-world projects, and expert-led sessions, you'll gain practical experience and the confidence to implement cloud-native solutions. Ideal for developers, architects, and IT professionals looking to excel in containerized application development and cloud architecture.

Key Features

  • Advanced Networking
  • In-Depth Curriculum
  • Real-World Scenarios
  • Security Best Practices

Curriculum

Study Plan

1Module 1: Introduction to Google Cloud
  • 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 
2Module 2: Containers and Kubernetes in Google Cloud
  • 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. 
3Module 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 
4Module 4: Kubernetes Operations
  • The Kubectl Command 
5Module 5: Deployment, Jobs, and Scaling
  • Deployments
  • Ways to Create Deployments 
  • Services and Scaling 
  • Updating Deployments 
  • Rolling Updates
  • Blue/Green Deployments 
  • Canary Deployments 
  • Managing Deployments 
  • Jobs and CronJobs 
  • Parallel Jobs 
  • CronJobs
  • Cluster Scaling 
  • Downscaling 
  • Node Pools 
  • Controlling Pod Placement 
  • Affinity and Anti-Affinity 
  • Pod Placement Example 
  • Taints and Tolerations
  • Getting Software into your Cluster 
6Module 6 GKE Networking
  • Introduction 
  • Pod Networking 
  • Services 
  • Finding Services 
  • Service Types and Load Balancers
  • How Load Balancers Work
  • Ingress Resource
  • Container-Native Load Balancing
  • Network Security 
7Module 7: Persistent Data and Storage
  • Volumes 
  • Volume Types 
  • The PersistentVolume Abstraction 
  • More on PersistentVolumes 
  • StatefulSets
  • ConfigMaps
  • Secrets 
8Module 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 
9Module 9: Logging and Monitoring
  • 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 
10Module 10: Using Google Cloud 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.
11Module 11: Using CI/CD with Google Kubernetes Engine
  • CI/CD overview
  • CI/CD for Google Kubernetes Engine
  • CI/CD Examples
  • Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline. 

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