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
Architecting with Google Kubernetes Engine: Workloads
This course is part of Architecting with Google Kubernetes Engine Specialization
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
32,585 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(1,257 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 5 hours
Learn at your own pace
84%
Most learners liked this course
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
Details to know
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Assessments
3 assignments
Taught in English
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This course is part of the Architecting with Google Kubernetes Engine Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor
Instructor ratings
4.6 (178 ratings)Offered by
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Learner reviews
4.7
1,257 reviews
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Showing 3 of 1257
NM
5
Reviewed on Aug 5, 2019
Nicely structured in order to learn about the different components needed to run applications and services in GKE.
RR
5
Reviewed on May 21, 2020
great course, learned a lot!! would be nice if you could update the section on helm, since tiller is no longer used with version 3
MM
5
Reviewed on Apr 21, 2022
Lots of good fundamentals in here especially regarding networking and config and stateful workloads.
Recommended if you're interested in Computer Science
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