Architecting with Google Kubernetes Engine: Workloads

Overview

In "Architecting with Google Kubernetes Engine: Workloads," you'll embark on a comprehensive journey into cloud-native application development. Throughout the learning experience, you'll explore Kubernetes operations, deployment management, GKE networking, and persistent storage. This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Production course."

Syllabus

Workloads Course Introduction

In this introduction, you'll explore the course goals and preview each section.

Workloads: Deployments and Jobs

In this section of the course, you'll learn to manage Kubernetes Deployments, Jobs, and CronJobs to deliver applications and automate tasks. You'll also explore cluster scaling techniques to optimize performance and resource utilization.

Google Kubernetes Engine Networking

In this section of the course, you'll gain a comprehensive understanding of Kubernetes networking. You'll delve into how pods and clusters communicate, create services to expose your applications to the network, and configure load balancers for external access. You'll also examine container-native load balancing and master the configuration of Google Kubernetes Engine Networking for optimal performance and security.

Persistent Data and Storage

In this section of the course, you'll unlock the secrets of Kubernetes storage. You'll learn how to define and work with Kubernetes storage abstractions, ensuring your applications have access to persistent data. You'll also discover how to manage sets of Pods efficiently using StatefulSets, decouple configuration from Pods using ConfigMaps, and securely manage sensitive access and authentication data. Finally, you'll practice configuring persistent storage for Google Kubernetes Engine, ensuring your data remains safe and accessible.