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Deploying Apache Pulsar to Google Kubernetes Engine

Apache Pulsar is becoming a popular messaging system. This course will teach you how to set up and configure Apache Pulsar on Google Kubernetes Engine for production use.

Intermediate
2h 27m
(3)

Created by James Wilson

Last Updated Sep 23, 2020

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  • Course

Deploying Apache Pulsar to Google Kubernetes Engine

Apache Pulsar is becoming a popular messaging system. This course will teach you how to set up and configure Apache Pulsar on Google Kubernetes Engine for production use.

Intermediate
2h 27m
(3)

Created by James Wilson

Last Updated Sep 23, 2020

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What you'll learn

Apache Pulsar has a messaging system with a cool architecture that is incredibly powerful to meet your needs. It is arguable that it is even more powerful if you have it running on Google Kubernetes Engine. Both systems together can provide incredible scalability and fault tolerance allowing you to scale your existing business or to open new possibilities for products that do not exist today. In this course, Deploying Apache Pulsar to Google Kubernetes Engine, you’ll learn to stand up Apache Pulsar onto a system that can scale. First, you’ll explore the pros and cons of Apache Pulsar compared to Apache Kafka. Next, you’ll discover installing, configuring, and managing Apache Pulsar on Google Kubernetes Engine. Finally, you’ll learn how to create producers and consumers that will utilize your Apache Pulsar system. When you’re finished with this course, you’ll have the skills and knowledge of running Apache Pulsar on Google Cloud which is needed to build a powerful messaging system that can horizontally scale around the world.

Deploying Apache Pulsar to Google Kubernetes Engine
Intermediate
2h 27m
(3)
Table of contents

About the author
James Wilson - Pluralsight course - Deploying Apache Pulsar to Google Kubernetes Engine
James Wilson
14 courses 4.5 author rating 353 ratings

As a mobile developer, James always had a passion for building exciting apps and always striving to make user interfaces that were easy and intuitive to use. Today, he now works at Pendo where he is helping to build tools that can be used to make apps that people love. He is accomplishing this by building distributed systems that scale using Go and Google Cloud. Never satisfied with his knowledge, he is a life-long learner and is always interested in looking to grow and learn and then shares his knowledge with others. James has worked in a wide array of fields whether as a technician working with radar and communication systems or as a developer building on platforms such as .NET, iOS, and Android. In his free time, James enjoys spending time with his family, playing video games, and reading fiction and non-fiction.

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