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Four Modern PHP Features That Show How Far the Language Has Come

PHP has evolved over the years and has become a lot more reliable, faster and refined. And with the release of PHP 8, which contained many features (named arguments, union types, attributes, constructor property promotion, match expressions, the null safe operator (?->) etc) and optimizations (JIT compiler), PHP has become more faster and cleaner. There are many more improvements and interesting features in the later versions of PHP 8. The 4 features I now rely on and wish PHP had introduced much earlier.

Building and deploying the Symfony ChatGPT app with Upsun

This blog post is based on a live presentation by Guillaume at a SymfonyCon 2023 on deploying applications with the Upsun platform-as-a-service. We utilized AI tools for transcription and to enhance the structure and clarity of the content. If you still use File Transfer Protocol (FTP) for deployment, this post is for you.

Bulletproofing your Symfony application for Black Friday

This blog is based on Thomás Di Luccio's talk "Bulletproofing for Black Friday" from the Symfony 2024 conference. Thomás is a Developer Relations Engineer at Upsun. We utilized AI tools for transcription and to enhance the structure and clarity of the content. Picture this: You're a small ticketing startup that just landed a major deal with a large venue. After months of building features and preparing for launch, the big day arrives—season ticket sales go live.

ML inference in PHP by example: leverage ONNX and Transformers on Symfony

This blog is based on a presentation by Guillaume Moigneu at the Symfony 2024 conference. Machine learning and AI are no longer limited to Python and Node.js. PHP developers can now run AI models directly in their applications using modern tools and libraries. This guide shows you how to implement machine learning inference in PHP using ONNX and Transformers.

PHP in 2025: Is It Still Relevant for Modern Web Applications?

Every few months, the same debate comes up in developer communities. "Should we still be using PHP?" The question usually carries doubt, as if PHP is some old relic we're embarrassed to use. This perception is wrong. PHP currently powers the vast majority of websites with a known server-side programming language. This includes platforms that handle massive user bases daily. But usage numbers only tell part of the story. The real question for businesses in 2025 is different. Does PHP deserve serious consideration for new projects?

15 PHP APM Tools Worth Using in 2025

PHP powers a large swath of the web — from blogs to storefronts to APIs. But with microservices, third-party dependencies, and scaling complexity, performance can slip in subtle ways. Your app might mostly work, but small—noted delays, occasional spikes, or hidden bottlenecks build up. An APM tool helps you see inside the black box: which functions are slow, which DB queries are hogging time, which external calls are failing or stalling.

Debugging and logging in Laravel applications

Logic errors, failed HTTP requests, background jobs that ghost silently—software breaks in all kinds of fun ways. The difference between resilient systems and fragile ones isn’t about avoiding errors altogether. It’s about how fast and clearly you can see what went wrong, and fix it. Laravel gives you a solid foundation: structured logging, real-time introspection, and built-in performance monitoring.

How PHP Monitoring Handles Response Times?

Every millisecond matters when users interact with your PHP application. If a page lags or a request takes too long, most people will leave without a second thought. For DevOps teams, these slowdowns are frustrating because the root cause is rarely obvious. Developers are left combing through logs and traces, often realizing too late that poor response times are already hurting user trust and business outcomes. The pain point: slow PHP response times frustrate users and create hidden costs for teams.

The Role of Service Maps in Optimizing PHP Application Performance

Modern PHP applications rarely exist in isolation. They run across distributed environments, connect to MySQL or PostgreSQL databases, interact with Redis or Memcached, rely on APIs, and communicate with microservices. This interconnected web brings power but also enormous complexity. When performance issues arise, finding the root cause can feel like searching for a needle in a haystack. Is it the database? A caching layer? A failing third-party API?