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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.

Node.js applications power millions of APIs, microservices, and real-time systems. But without proper monitoring, performance issues, memory leaks, and errors can go undetected until they impact users. This guide explains how to monitor Node.js applications in production, what metrics to track, and which tools deliver the best results.

Multi-agent AI systems are trending in the software development industry right now. These systems consist of a group of individual agents that collaborate to achieve a desired goal. They mimic real world teams and departments in how they are organized. In multi-agent AI systems, each agent is assigned a task that is required to achieve a final output.

Grafana 12.3 is here, delivering new features for interactive learning, deeper insights into logging data, and so much more. Overall, a big theme in the latest minor release is to make data exploration easier, faster, and more customizable. Grafana 12.3: Download now! Below are just some of the highlights from Grafana 12.3. If you want to explore all the latest updates, please refer to the changelog or our What’s New documentation, and be sure to check out the TL;DR video below.