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.
Architecting with Google Kubernetes Engine: Workloads
This course is part of Architecting with Google Kubernetes Engine Specialization
Instructor: Google Cloud Training
Sponsored by Google People Development
32,374 already enrolled
(1,251 reviews)
What you'll learn
Create and manage workloads in Google Kubernetes Engine.
Explain how pod networking works in Google Kubernetes Engine.
Define and work with different Kubernetes storage abstractions.
Skills you'll gain
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There are 5 modules in this course
In this introduction, you'll explore the course goals and preview each section.
What's included
1 video
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.
What's included
11 videos1 assignment1 app item
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.
What's included
7 videos1 assignment1 app item
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.
What's included
7 videos1 assignment1 app item
The course closes with a summary of the key points covered in each section.
What's included
1 reading
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Reviewed on Apr 24, 2020
The course coverage is very good. The lab for config map and secrets needs to be improved in terms of contents description. For the same lab, the duration needs to be increased by 30 min.
Reviewed on Oct 29, 2020
A very heavy and interesting course. It definitely a course that I will be using as a reference as it has way too much information to just take on one go.
Reviewed on Feb 10, 2020
The course is pretty good, but it should really be split into 3 separate weeks, one for each module.
Recommended if you're interested in Computer Science
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