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Go Design Patterns

You're reading from Go Design Patterns

Product type Book

Published in Feb 2017

Publisher Packt

ISBN-13 9781786466204

Pages 402 pages

Edition 1st Edition

Languages

Concepts

Design Patterns

Author (1):

Mario Castro Contreras

Table of Contents (17) Chapters

Go Design Patterns

Credits

About the Author

About the Reviewer

www.PacktPub.com

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Preface

1. Ready... Steady... Go!

2. Creational Patterns - Singleton, Builder, Factory, Prototype, and Abstract Factory Design Patterns

3. Structural Patterns - Composite, Adapter, and Bridge Design Patterns

4. Structural Patterns - Proxy, Facade, Decorator, and Flyweight Design Patterns

5. Behavioral Patterns - Strategy, Chain of Responsibility, and Command Design Patterns

6. Behavioral Patterns - Template, Memento, and Interpreter Design Patterns

7. Behavioral Patterns - Visitor, State, Mediator, and Observer Design Patterns

8. Introduction to Gos Concurrency

9. Concurrency Patterns - Barrier, Future, and Pipeline Design Patterns

10. Concurrency Patterns - Workers Pool and Publish/Subscriber Design Patterns

Summary

Concurrency design patterns are a step forward in difficulty, and take some time to grasp. Our biggest mistake as concurrent programmers is thinking in terms of parallelism (How can I make this parallel? or How can I run this in a new thread?) instead of in terms of concurrent structures.

Pure functions (functions that will always produce the same output (given the same input) without affecting anything outside their scope) help in this design.

Concurrent programming requires practice and more practice. Go makes it easy once you understand the basic primitives. Diagrams can help you to understand the possible flow of data, but the best way of understanding it all is simply to practice.

In the following chapter, we will see how to use a pool of pipeline workers to do some work instead of having a unique pipeline. Also, we will learn how to create the publish/subscriber pattern in a concurrent structure and see how different the same pattern can be when we build by using concurrency.

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Authors (1)

Mario Castro Contreras

Mario Castro Contreras is a software engineer who has specialized in distributed systems and big data solutions. He works as a site reliability engineer, and now he is focused on containerized solutions and apps using most of Google Cloud suite, especially Kubernetes. He has broad experience in systems and solutions integration, and he has written many scalable and reliable 12-factor apps using Go and Docker. He has designed Big Data architectures for financial services and media, and he has written data processing pipelines using event-driven architectures written purely in Go. He is also very active in the open source community, and you can find him on his GitHub account with the username sayden. In the past, he has also written mobile applications and back ends in Java. Mario is passionate about programming languages, and he found the best balance between fun and productivity in Go; however, recently he has enjoyed writing in Rust and embedded systems in C. He is also passionate about road cycling and winter sports.

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