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Building Real-time Applications with Phoenix & Elixir

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Getting Started with Phoenix

An Overview of Phoenix Layers of a Real-Time System Types of Scalability Achieving Real-time in Elixir Quiz on Phoenix Overview

Powering Real-time Applications with Phoenix

Creating a Simple WebSocket Connecting Our First WebSocket Loading Our First WebSocket Testing WebSocket Connection Upgrading WebSocket Connections Maintaining WebSocket Connections Predecessor to WebSockets WebSockets and Phoenix Channels Quiz on Powering Real-time Phoenix Applications

First Steps with Phoenix Channels

What are Phoenix Channels?Understanding Channel Structure Implementation of a Channel Channel Error Handling Dynamic Topics PubSub Receive Messages Send Messages Channel Clients JavaScript Client Quiz on Phoenix Channels

Restrict Socket and Channel Access

Why Restrict Access?Add Authentication to Sockets Different Types of Tokens Add Authorization to Channels Use Authentication from JavaScript When to Write a New Socket Quiz on Socket and Channel Access

Dive Deep into Phoenix Channels

Design for Unreliable Connections

Use Channels in a Cluster

Customize Channel Behavior

Deduplicate Outgoing Messages

How to Write Tests

Testing Our Wildcard Channel

Testing DedupeChannel

Quiz on Deep Concepts of Phoenix Channels

Avoid Performance Pitfalls

Measure Everything Collect Measurements using StatsD Keep Channels Asynchronous Build a Scalable Data Pipeline GenStage-powered Pipeline Adding Concurrency and Channels Measuring our Pipeline Test Our Data Pipeline The Power of GenStage Quiz on Avoiding Performance Pitfalls

Build a Real-time Sneaker Store

Introduction From Product Requirements to a Plan Setting Up the Project Render Real-time HTML with Channels (Back-end)Render Real-time HTML with Channels (Front-end)Update a Client with Real-time Data Run Multiple Servers Verify Multiple Server Behavior Wrapping Up Quiz on Building a Real-Time Application

Break Your Application with Acceptance Tests

Introduction The Power of Acceptance Testing Break Our Application Like a User (Part I)Break Our Application Like a User (Part II)Break Our Application Like a Server (Part I)Break Our Application Like a Server (Part II)Automate Acceptance Tests with Hound Write Automated Acceptance Tests Wrapping Up Quiz on Breaking an Application with Acceptance Tests

Build a Real-time Shopping Cart

Introduction Planning Our Shopping Cart Setting Up Our Project Scaffold Our Shopping Cart Channel (Part I)Scaffold Our Shopping Cart (Part II)Build Our Shopping Cart Channel Add Items to Our Cart Synchronize Multiple Channel Clients Add Real-time Out-of-stock Alerts Acceptance Test the Shopping Cart (Part I)Acceptance Test the Shopping Cart (Part II)Wrapping Up Quiz on Building a Real-time Shopping Cart

Track Connected Carts with Presence

On Track with Phoenix Tracker

Use Tracker in an Application

Phoenix Tracker vs. Presence

Scaffold the Admin Dashboard

Track Shopping Carts in Real-Time

Update Shopping Carts in Real-time

Assemble the Admin Dashboard

Quiz on Tracker and Presence

Deploy Our Application to Production

Introduction Achieve Scalability with Load Balancing Cluster Your BEAM Nodes Together Wrapping Up Quiz on Deploying an Application to Production

Manage Real-time Resources

Introduction Manage Our Application’s Memory Effectively Inspect a Running Application Wrapping Up Quiz on Managing Real-Time Resources

Hands-on with Phoenix LiveView

Getting Started with LiveView Build a LiveView Product Page Write Tests for a LiveView Wrapping Up Quiz on Phoenix LiveView

Single-page Applications with React

Manage Channel State in React Write Channels as Components Hands-on with React React Native Channels Quiz on Single-page Applications with React

Wrap Up!

The End of Our Journey

Appendix

Installing Phoenix

Wrapping Up

Let's highlight the main content of this section.

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Putting it all together

Tracker
Presence

Putting it all together

Tracker

Phoenix Tracker takes a complex problem—distributed process state—and makes it easy for us. Tracker uses a conflict-free replicated data type to provide a correct distributed state that is eventually consistent. Tracker is commonly used to maintain real-time user presence lists or optimize a data pipeline that pushes data to users.

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