JavaScript at Scale

Adam Boduch

• Editore: Packt Publishing
• Anno: 2015
• ISBN:
  9781785282157
• Edizione: 1
• Argomento: Informatica
• Categoria: Programmazione in JavaScript

Have you ever come up against an application that felt like it was built on sand? Maybe you've been tasked with creating an application that needs to last longer than a year before a complete re-write? If so, JavaScript at Scale is your missing documentation for maintaining scalable architectures.

There's no prerequisite framework knowledge required for this book, however, most concepts presented throughout are adaptations of components found in frameworks such as Backbone, AngularJS, or Ember.

All code examples are presented using ECMAScript 6 syntax, to make sure your applications are ready for next generation browsers.

JavaScript at Scale

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Table of Contents

JavaScript at Scale

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Scale from a JavaScript Perspective

Scaling influencers

The need for scale

Growing user base

Building new features

Hiring more developers

Architectural perspectives

The browser is a unique environment

Component design

Component communication

Load time

Responsiveness

Addressability

Configurability

Making architectural trade-offs

Defining your constants

Performance for ease of development

Configurability for performance

Performance for substitutability

Ease of development for addressability

Maintainability for performance

Less features for maintainability

Leveraging frameworks

Frameworks versus libraries

Implementing patterns consistently

Performance is built in

Leverage community wisdom

Frameworks don't scale out-of-the-box

Summary

2. Influencers of Scale

Scaling users

License fees

Subscription fees

Consumption fees

Ad-supported

Open source

Communicating users

Support mechanisms

Feedback mechanisms

Notifying users

User metrics

Scaling users example

Scaling features

Application value

Killer features versus features that kill

Data-driven features

Competing with other products

Modifying existing features

Supporting user groups and roles

Introducing new services

Consuming real-time data

Scaling features example

Scaling development

Finding development resources

Development responsibilities

Too many resources

Scaling development example

Influencer checklist

User checklist

What's the business model of our software?

Does our application have different user roles?

Do our users communicate with each other using our software?

How do we support our application?

How do we collect feedback from users?

How do we notify users with relevant information?

What type of user metrics should we collect?

Feature checklist

What's the core value proposition of our software?

How do we determine the feasibility of a feature?

Can we make informed decisions about our features?

Who's our competition?

How do we make what we have better?

How do we integrate user management into our features?

Are our features tightly coupled to backend services?

How does the frontend stay synchronized with backend data?

Developer checklist

How do we find the right development resources?

How do we allocate development responsibilities?

Can we avoid hiring too many resources?

Summary

3. Component Composition

Generic component types

Modules

Routers

Models/Collections

Controllers/Views

Templates

Application-specific components

Extending generic components

Identifying common data and functionality

Extending router components

Extending models/collections

Extending controllers/views

Mapping features to components

Generic features

Specific features

Decomposing components

Maintaining and debugging components

Re-factoring complex components

Pluggable business logic

Extending versus configuring

Stateless business logic

Organizing component code

Summary

4. Component Communication and Responsibilities

Communication models

Message-passing models

Event models

Communication data schema

Naming conventions

Data format

Common data

Traceable component communication

Subscribing to events

Globally-logging events

Event lifecycle

Communication overhead

Event frequency

Callback execution time

Callback complexity

Areas of communication responsibility

Backend API

Web socket updates

DOM updates

Loosely-coupled communication

Substituting components

Handling unexpected events

Component layers

Event flow direction

Mapping to developer responsibilities

Mentally mapping the code

Summary

5. Addressability and Navigation

Approaches to routing

Hash URIs

Traditional URIs

How routers work

Router responsibilities

Router events

URI parts and patterns

Encoding information

Designing URIs

Mapping resources to URIs

Building URIs manually

Automating resource URIs

Triggering routes

User actions

Redirecting users

Router configuration

Static route declarations

Registration events

Deactivating routes

Troubleshooting routers

Conflicting routes

Logging initial configuration

Logging route events

Handling invalid resource states

Summary

6. User Preferences and Defaults

Preference types

Locales

Behavior

Appearance

Supporting locales

Deciding on locales to support

Maintaining locales

Setting the locale

Choosing locales

Storing locale preferences

Locales in URIs

Generic component configuration

Deciding on configuration values

Stored and hard-coded default values

Backend implications

Loading configuration values

Configuring behavior

Enabling and disabling components

Changing quantities

Changing order

Configuring notifications

Inline options

Changing the look and feel

Theme tools

Selecting a theme

Individual style preferences

Performance implications

Configurable locale performance

Configurable behavior performance

Configurable theme performance

Summary

7. Load Time and Responsiveness

Component artifacts

Component dependencies

Building components

Loading components

Loading modules

Lazy module loading

Module load latency

Communication bottlenecks

Reducing indirection

Profiling code

Component optimization

Components that maintain state

Dealing with side-effects

DOM rendering techniques

API data

Load latency

Working with large data sets

Optimizing components at runtime

Summary

8. Portability and Testing

Decoupling the backend

Mocking the backend API

Frontend entry points

Mocking tools

Generating mock data sets

Performing actions

Feature design process

Designing the API

Implementing the mock

Implementing the feature

Reconciling mock data with API data

Unit testing tools

Tools built into frameworks

Standalone unit testing tools

Toolchains and automation

Testing mock scenarios

Mock APIs and test fixtures

Scenario generation tools

End-to-end tests and continuous integration

Summary

9. Scaling Down

Scaling constraints

JavaScript artifact size

Network bandwidth

Memory consumption

CPU consumption

Backend capabilities

Conflicting features

Overlapping functionality

Irrelevant features

Customer demand

Design failures

Unnecessary components

Inefficient data processing

Excessively creative markup

Application composition

Feature enablement

New feature impact

Essential libraries

Summary

10. Coping with Failure

Failing fast

Using quality constraints

Providing meaningful feedback

When we can't fail fast...

Fault tolerance

Classifying critical behavior

Detecting and containing errant behavior

Disabling defective components

Gracefully degrading functionality

Failure recovery

Retrying failed operations

Restarting components

Manual user intervention

When we can't recover from failures...

Performance and complexity

Exception handling

State checking

Notifying other components

Logging and debugging

Meaningful error logs

Warning about potential failures

Informing and instructing users

Improving the architecture

Documenting failure scenarios

Improving component classification

Complexity promotes failure

Summary

Index

JavaScript at Scale

Copyright © 2015 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: July 2015

Production reference: 1270715

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78528-215-7

www.packtpub.com

Credits

Author

Adam Boduch

Reviewers

August N. Marcello III

Yogesh Singh

Nikolay Sokolov

Serkan Yersen

Commissioning Editor

Edward Gordon

Acquisition Editors

Kevin Colaco

Owen Roberts

Content Development Editor

Divij Kotian

Technical Editor

Ryan Kochery

Copy Editor

Angad Singh

Project Coordinator

Nikhil Nair

Proofreader

Safis Editing

Indexer

Rekha Nair

Graphics

Jason Monteiro

Production Coordinator

Melwyn Dsa

Cover Work

Melwyn Dsa

About the Author

Adam Boduch has been involved with large-scale JavaScript development for nearly 10 years. Before moving to the frontend, he worked on several large-scale cloud computing products using Python and Linux. No stranger to complexity, Adam has practical experience with real-world software systems and the scaling challenges they pose. He is the author of several JavaScript books, including Lo-Dash Essentials, and is passionate about innovative user experiences and high performance.

Adam lives in Toronto and is a senior software engineer at Virtustream.

I'd like to thank my mom and dad.

About the Reviewers

August N. Marcello III is a highly passionate software engineer with nearly 2 decades of experience in the design, implementation, and deployment of modern client-side web application architectures in the enterprise. An exclusive focus on delivering compelling SaaS based user experiences throughout the web ecosystem has proven both personally and professionally rewarding for him. His passion for emerging techno...