How to Build Front-End Web Apps that Scale - FutureJS

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Developing large apps is difficult. Ensuring that code is consistent, well structured, tested, maintainable and has an architecture that encourages enhancement is essential. When it comes to large server-focused apps, solutions to this problem have been tried and tested. But, with the ongoing dramatic shift of functionality into the browser, how do you achieve this when building Front-End Web Apps? In this talk we’ll cover the signs to watch out for as your HTML5 SPA grows and provide examples of some of the tooling types that can contribute-to - as well as ease - the growing pains. Finally, we’ll demonstrate how tooling can be used to support a set of conventions, practices and principles that enable a productive developer workflow where the first line of code is feature code, features can be developed in isolation, code conflicts are avoided by grouping assets by feature and features are composed into apps. The demonstrations will use the BladeRunnerJS open source developer toolkit, but the concepts are widely applicable.

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How to Build Front-End Web Apps that Scale

2014

Phil @leggetter phil@leggetter.co.uk

Caplin Systems !

What is a large-scale JavaScript app?

–Addy Osmani, Patterns For Large-Scale JavaScript Application Architecture

In my view, large-scale JavaScript apps are non-trivial applications requiring significant

developer effort to maintain, where most heavy lifting of data manipulation and display falls to

the browser.

Large CodebaseMore functionality === More code

Caplin Trader• SDK:

• ~1,000 JavaScript files

• ~131,000 LoC

• ~131 lines per file

• ~650 test files

• ~95,000 test LoC

• Typical Apps:

• ~425 JavaScript files

• ~50,000 LoC

• ~117 lines per file

• ~200 test files

• ~21,000 test LoC

Complexity

Gmail & Caplin Trader• Large Single Page Apps (SPAs)

• Complex functionality

• Complex interactions

• User

• Technology

• Leave open all day

Features: Change, Come & Go

Feature Progression

ContributorsThe Human Factor

Who contributes to an app?• Front-end devs

• Back-end devs

• Designers

• QA

• Infrastructure and release engineers

• Technical authors

So, how do you ensure an application is maintainable?

1. structure a massive codebase (js, css, html, i18n, images, config etc.)

2. an architecture for complex functionality and interaction (UI and other components)

3. make sure that all contributors can work in harmony

4. promote quality

5. development must be a productive experience

6. ensure all these compliment each other

The Solutions

1. Components/Widgets/Modules

2. A Services Layer

3. MV*

4. Efficient Testing

5. Tools to Support Workflow

Prove it!

Component/Module/Feature/Blade

Finding assets is hard

/assets /feature-name

Long App Reloads

Image of app partially workingWho Broken the

App?

Running in isolation ===

Faster reload times

Compose Components/Modules

into Apps

Services

What is a service?• Use services to access shared resources

• In-app inter-component messaging

• Persistence Service

• RESTful Service

• Realtime Service

• Services are a Contract/Protocol/Interface

Using Services• Use a unique identifier for each service

• Register (code or config). Code example:

!

• Get

http://martinfowler.com/articles/injection.html#ADynamicServiceLocator

Why use services?

• Features should not directly communicate

• Easily change implementation

• Implementations can be injected for different scenarios:

• Workbench / Test / App

Fake Services

Fake/Stub/Mock Services

Real Services

Efficient Testing (We’ll get to MV*)

Don’t Touch that DOM

MVVM

End-to-End Module Testing

• Testing features in isolation

• Change view model and assert against mocked Service

• Inject fake service, make calls and assert View Model

Need Proof?Our full suite Caplin Trader

testing time went from

>8 Hours

< 30 minutes

Much less for a single feature

Tooling & Developer Workflow Focus on Features

What tooling offers?

Automation

• Define workflow & promote consistency

• Scaffolding

• Dev Server

• Builds/Bundling

• Tests

Intelligence

Compliance

Dependency Analysis

Knowledge of Runtime Scenarios

• Workbench (dev-mode)

• Test

• App

Customization

• Augment workflow

• Identify allowable change to workflow

• Automation commands

• Builds/Bundling

• Test Runner

Proven!1. structure a massive codebase - by feature

2. an architecture for complex functionality and interaction - Services & MVVM

3. contributor harmony - separation of concerns; codebase structure, modules/components & architecture

4. promote quality - Services & MVVM === Highly testable

5. productive experience - tooling supports all of this & ensure consistency

6. complimentary - Yes, look at all the cross-over!

Phil @leggetter phil@leggetter.co.uk

Caplin Systems !

!

!

@BladeRunnerJS bladerunnerjs.org

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