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High Performance with Laravel Octane

You're reading from   High Performance with Laravel Octane Learn to fine-tune and optimize PHP and Laravel apps using Octane and an asynchronous approach

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781801819404
Length 204 pages
Edition 1st Edition
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Author (1):
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Roberto Butti Roberto Butti
Author Profile Icon Roberto Butti
Roberto Butti
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Table of Contents (14) Chapters Close

Preface 1. Part 1: The Architecture
2. Chapter 1: Understanding the Laravel Web Application Architecture FREE CHAPTER 3. Part 2: The Application Server
4. Chapter 2: Configuring the RoadRunner Application Server 5. Chapter 3: Configuring the Swoole Application Server 6. Part 3: Laravel Octane – a Complete Tour
7. Chapter 4: Building a Laravel Octane Application 8. Chapter 5: Reducing Latency and Managing Data with an Asynchronous Approach 9. Part 4: Speeding Up
10. Chapter 6: Using Queues to Apply the Asynchronous Approach in Your Application 11. Chapter 7: Configuring the Laravel Octane Application for the Production Environment 12. Index 13. Other Books You May Enjoy

Building a Laravel Octane Application

In the previous chapters, we focused on installing, configuring, and using some of the features provided by Laravel Octane. We looked at the difference between Swoole and RoadRunner, the two application servers supported by Laravel Octane.

In this chapter, we will focus on each feature of Laravel Octane to discover its potential and understand how it can be used individually.

The goal of this chapter is to analyze the functionality of Laravel Octane in a realistic context.

To do that, we will build a sample dashboard application covering several aspects, such as configuring the application, creating the database table schema, and generating initial data.

Then, we will go on to implement specific routes for dashboard delivery and implement the data retrieval logic in the controller and the query in the model.

Then we will create a page in the sample dashboard application, where we will collect information from multiple queries. When...

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