Book Image

High Performance with Laravel Octane

By : Roberto Butti
5 (2)
Book Image

High Performance with Laravel Octane

5 (2)
By: Roberto Butti

Overview of this book

Laravel Octane is a very powerful component in the Laravel ecosystem that can help you achieve remarkable app performance. With Laravel Octane, you will find tools (queues, cache, and tables) that facilitate a new asynchronous approach for improving application performance. This book highlights how Laravel Octane works, what steps to take in designing an application from the start, what tools you have at your disposal, and how to set up production environments. It provides complete coverage of the strategies, tools, and best practices to make your apps scalable and performant. This is especially important as optimization is usually the overlooked part in the application development lifecycle. You will explore the asynchronous approach in Laravel and be able to release high-performing applications that have a positive impact on the end-user experience. By the end of this book, you will find yourself designing, developing, and releasing high-performance applications.
Table of Contents (14 chapters)
Part 1: The Architecture
Part 2: The Application Server
Part 3: Laravel Octane – a Complete Tour
Part 4: Speeding Up

Reducing Latency and Managing Data with an Asynchronous Approach

In the previous chapter, we created a new Laravel Octane application, and we applied some features provided by Laravel Octane to improve performance and reduce the response time of our application.

In this chapter, we will try to optimize more things, such as access to a database and changing and improving the caching strategy. To improve and make queries to data faster, we will explain the benefit that comes from indexing columns. For caching, we will also take a look at a cache-only approach.

For example, in the previous chapter, we executed queries in parallel. Now, we will optimize a query because parallelizing something fast is better than parallelizing something slower. Query optimization allows code to retrieve data from databases faster, reducing the latency that normally occurs when reading data from any source (a file, database, or network).

Then, we will show how to make the query process faster using...