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JavaScript at Scale

By : Adam Boduch

4.5 (2)

JavaScript at Scale

4.5 (2)

By: Adam Boduch

Overview of this book

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Scale from a JavaScript Perspective

1. Scale from a JavaScript Perspective

Scaling influencers

Architectural perspectives

The browser is a unique environment

Making architectural trade-offs

Frameworks versus libraries

Summary

2. Influencers of Scale

2. Influencers of Scale

Scaling users

Scaling features

Scaling development

Influencer checklist

Summary

3. Component Composition

3. Component Composition

Generic component types

Extending generic components

Mapping features to components

Decomposing components

Pluggable business logic

Organizing component code

Summary

4. Component Communication and Responsibilities

4. Component Communication and Responsibilities

Communication models

Communication data schema

Traceable component communication

Communication overhead

Areas of communication responsibility

Loosely-coupled communication

Component layers

Summary

5. Addressability and Navigation

5. Addressability and Navigation

Approaches to routing

How routers work

URI parts and patterns

Mapping resources to URIs

Triggering routes

Router configuration

Troubleshooting routers

Summary

6. User Preferences and Defaults

6. User Preferences and Defaults

Preference types

Supporting locales

Setting the locale

Generic component configuration

Configuring behavior

Changing the look and feel

Performance implications

Summary

7. Load Time and Responsiveness

7. Load Time and Responsiveness

Component artifacts

Loading components

Communication bottlenecks

Component optimization

API data

Optimizing components at runtime

Summary

8. Portability and Testing

8. Portability and Testing

Decoupling the backend

Feature design process

Unit testing tools

Testing mock scenarios

End-to-end tests and continuous integration

Summary

9. Scaling Down

9. Scaling Down

Scaling constraints

Conflicting features

Design failures

Application composition

Summary

10. Coping with Failure

10. Coping with Failure

Failing fast

Fault tolerance

Failure recovery

Performance and complexity

Logging and debugging

Improving the architecture

Summary

Index

Index

Communication models

There are various communication models we can use to enable inter-component communication. The simplest would be method invocations, or function calls. This approach is the most direct and the easiest to implement. However, there's also a deep coupling between one component that directly invokes method of another. This can't scale beyond a couple components.

Instead, we need a level of indirection between our components; something that mediates the communication from one component to another. This helps us to scale our inter-component communication because we're no longer communicating directly with other components. Instead, we're relying on our communication mechanism to fulfill message delivery. The two prevalent models for such a communication mechanism are message passing and event triggering. Let's compare the two approaches.

Message-passing models

Message-passing communication models are commonplace in JavaScript applications. For example...

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Tech Concepts

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Programming languages

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