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Deploying Node.js

Deploying Node.js

By : Sandro Pasquali
4.7 (6)
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Deploying Node.js

Deploying Node.js

4.7 (6)
By: Sandro Pasquali
Buy this Book

Overview of this book

If you are an intermediate or advanced developer deploying your Node.js applications, then this book is for you. If you have already built a Node application or module and want to take your knowledge to the next level, this book will help you find your way.
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Appreciating Node
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1. Appreciating Node
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Understanding Node's unique design
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The implications of Node's design on system architects
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Using full-stack JavaScript to maximum effect
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Summary
2
2. Installing and Virtualizing Node Servers
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2. Installing and Virtualizing Node Servers
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Getting a basic Node server up and running
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Installing applications on Heroku
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Installing applications on OpenShift
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Using Docker to create lightweight virtual containers
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Summary
3
3. Scaling Node
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3. Scaling Node
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Scaling vertically across multiple cores
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Scaling horizontally across different machines
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Summary
4
4. Managing Memory and Space
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4. Managing Memory and Space
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Dealing with large crowds
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Reducing memory usage
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Taming V8 and optimizing performance
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Caching strategies
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Managing sessions
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Summary
5
5. Monitoring Applications
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5. Monitoring Applications
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Dealing with failure
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Modifying behavior in changing environments
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Profiling processes
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Using third-party monitoring tools
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Using New Relic for monitoring
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Summary
6
6. Building and Testing
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6. Building and Testing
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Building with Gulp, Browserify, and Handlebars
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Using Node's native testing tools
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Testing with Mocha, Chai, Sinon, and npm
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Automated browser testing with PhantomJS and CasperJS
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Summary
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7. Deploying and Maintaining
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7. Deploying and Maintaining
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Using GitHub webhooks
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Synchronizing local and deployed builds
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Integrating, delivering, and deploying
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Package maintenance
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Summary
8
Index
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Index

Reducing memory usage

JavaScript was born and raised in the browser environment. For most of its history, this also implied that JavaScript programs were running on desktop systems with an enormous pool of available memory. For this reason, many JavaScript programmers have not traditionally thought much about managing memory in their applications.

In the world of Node, memory is not so cheap. According to Joyent (https://github.com/joyent/node/wiki/FAQ#what-is-the-memory-limit-on-a-node-process):

"Currently, by default, v8 has a memory limit of 512 MB on 32-bit systems and 1 GB on 64-bit systems. The limit can be raised by setting --max_old_space_size to a maximum of ~1024 (~1 GB) (32-bit) and ~1741 (~1.7 GiB) (64-bit), but it is recommended that you split your single process into several workers if you are hitting memory limits."

Let's go over possible strategies to reduce the amount of memory your Node programs consume. We'll end with a discussion of how to make use of...

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