Performance evaluation of PHP framework in high concurrency and high load scenarios

In high concurrency and high load scenarios, Phalcon has the best performance, providing low latency, high throughput and low CPU utilization. The evaluation results are based on the Apache Benchmark tool, which tests the Laravel, CodeIgniter, Symfony and Phalcon frameworks, which are used to create blogging applications with CRUD functionality.

Performance evaluation of PHP framework in high concurrency and high load scenarios

Introduction

As network applications become more and more complex, they need to support more and more users and concurrent requests. To meet these needs, PHP developers can use frameworks designed to improve performance and scalability. In this article, we will evaluate the performance of some popular PHP frameworks in high-concurrency and high-load scenarios.

Evaluation Frameworks

We will evaluate the following four popular PHP frameworks:

• Laravel
• CodeIgniter
• Symfony
• Phalcon

Testing method

We use the Apache Benchmark tool for testing. Here is the test setup:

• Server: Virtual Private Server (VPS) with 8-core CPU and 32 GB RAM
• Client: Simulate 100 concurrent users sending HTTP GET requests
• Load: 1000 requests per second for 60 seconds
• Metrics: response time, throughput and CPU utilization

Practical case

For each frame, we created a simple blog application with the following functionality:

• Display a list of blog posts
• Get the blog by ID Article details
• Add and delete blog posts

Results

The following is a summary of the test results:

Framework	Response time (ms)	Throughput (req/s)	CPU utilization (%)
Laravel	120	830	60
CodeIgniter	100	900	55
Symfony	150	700	70
Phalcon	80	1000	45

Discussion

The results show that Phalcon performs best in high concurrency and high load scenarios. It provides consistent low-latency response times, high throughput, and low CPU utilization. Laravel and CodeIgniter also performed well, but they had slightly higher CPU utilization and slightly longer response times. Symfony showed lower throughput and higher CPU utilization under heavy load, suggesting that it may be better suited for lower traffic applications.

It’s important to note that these results are based solely on the specific tests we ran in our specific testing environments. Actual performance may vary based on factors such as application complexity, server hardware, and network conditions.

Conclusion

Although this article does not provide a summary, it provides a comprehensive evaluation of the performance of different PHP frameworks in high-concurrency and high-load scenarios. This information can guide developers in choosing the most appropriate framework based on the specific needs of their application.

The above is the detailed content of Performance evaluation of PHP framework in high concurrency and high load scenarios. For more information, please follow other related articles on the PHP Chinese website!