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Mastering Node.js

You're reading from   Mastering Node.js Expert techniques for building fast servers and scalable, real-time network applications with minimal effort

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782166320
Length 346 pages
Edition 1st Edition
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Author (1):
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Sandro Pasquali Sandro Pasquali
Author Profile Icon Sandro Pasquali
Sandro Pasquali
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Table of Contents (14) Chapters Close

Preface 1. Understanding the Node Environment 2. Understanding Asynchronous Event-Driven Programming FREE CHAPTER 3. Streaming Data Across Nodes and Clients 4. Using Node to Access the Filesystem 5. Managing Many Simultaneous Client Connections 6. Creating Real-time Applications 7. Utilizing Multiple Processes 8. Scaling Your Application 9. Testing your Application A. Organizing Your Work B. Introducing the Path Framework C. Creating your own C++ Add-ons Index

When to scale?


The theory around application scaling is a complex and interesting topic that continues to be refined and expanded. A comprehensive discussion of the topic would require several books, curated for different environments and needs. For our purposes we will simply learn how to recognize when scaling up (or even scaling down) is necessary.

Having a flexible architecture that can add and subtract resources as needed is essential to a resilient scaling strategy. A vertical scaling solution does not always always suffice (simply adding memory or CPUs will not deliver the necessary improvements). When should horizontal scaling be considered?

Note

One simple but useful way to check the CPU and memory usage commanded by Node processes running on a server is to use the Unix ps command, in combination with grep:

ps –A u | grep node

This will list all of your Node processes, and their resource allotments.

Network latency

When network response times are exceeding some threshold, such as each...

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