After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
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.
Prerequisites
There are no prerequisites for this course
Curriculum
Course outline
1
Workloads Course Introduction
In this introduction, you'll explore the course goals and preview each section.
2
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.
3
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.
4
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.
5
Workloads Course Summary
The course closes with a summary of the key points covered in each section.
6
Course Resources
Student PDF links to all modules
R
Architecting with Google Kubernetes Engine: Workloads
Course
Complete
