Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Functional Programming in Go

You're reading from   Learning Functional Programming in Go Change the way you approach your applications using functional programming in Go

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787281394
Length 670 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Lex Sheehan Lex Sheehan
Author Profile Icon Lex Sheehan
Lex Sheehan
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Pure Functional Programming in Go 2. Manipulating Collections FREE CHAPTER 3. Using High-Order Functions 4. SOLID Design in Go 5. Adding Functionality with Decoration 6. Applying FP at the Architectural Level 7. Functional Parameters 8. Increasing Performance Using Pipelining 9. Functors, Monoids, and Generics 10. Monads, Type Classes, and Generics 11. Category Theory That Applies 12. Miscellaneous Information and How-Tos

FP and Micyoservices


Let's look hints of FP philosophies in microservices and related architecturesof  event driven architectures, CQRS, Lambda Architecture and  functional reactive programming.

The architectures we will consider leverage FP philosophies in different ways to achieve their goals of being:

  • Event driven
  • Scalable
  • Responsive
  • Resilient

Message passing

These architectures frequently employ fanout strategies to improve performance. For example, an application might have a series of requests that block while performing each request as follows:

If each request takes 1 second the total time required to send, receive and compose all responses will be 3 seconds.

When possible, we should opt to perform each request asynchronously by fanning out our requests as follows:

This would reduce the time required to process all requests from 3 seconds to 1 second.

 

Asynchronous processing takes less time which frees up our resources faster. This minimizes latency and reduces contention for our shared resources...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime