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Open J Proxy: A Modern, Open-Source Approach to Database Connectivity for the Java Ecosystem
By Rogerio Robetti — OJP Founder and lead developer Historical context on JDBC The Java ecosystem has never stood still. It began its life powering thick client applications, grew into enterprise-grade monolithic servers, reinvented itself with dependency injection and lightweight…
Anchored in the Chaos: Managing Cognitive Load, AI Uncertainty, and Well-Being as a Developer
Introduction: The growing pressure on developers If you feel like you’re perpetually sprinting just to stay in the same place, you are not alone. Across the industry, from junior developers pushing their first commits to seasoned seniors leading large teams, the professional landscape feels…
Sidecars, Service Meshes and Java: Where Do We Really Add Value?
Sidecars and service meshes promise resilience, security, and observability—but often introduce operational complexity and hidden coupling. This article analyzes where sidecars truly add value in Java architectures and where in-process solutions are more effective. It breaks down trade-offs,…
Where Is the Logic of My Application?
introduction Nowadays, many teams work with microservice-based architectures, where each service encapsulates its own logic and solves a specific problem—whether it’s managing customer data, handling user information, or sending notifications. Over time, a team may become responsible for…
When Developers Meet Designers: Lessons from Vibe Coding and the Art of Creative Expression
Have you ever wondered what happens when you mix climate data, artificial intelligence, and a group of creative people? I recently found out at a “Future Fridays” workshop, a collaboration between infogr8 and the Data Visualization Society. The goal was to experiment with…
From Fragile to Fearless
Introduction I believe that every modern software developer by now realizes that writing tests is an indispensable part of our job. We also know that it’s best to start writing our tests before we write the actual implementation. There are already many articles that elaborate on the…
Capability Mesh : Re-architecting for the Agentic AI Future
Re-architecting for the Agentic AI Future Ten years ago, software development teams adopted a new trend: companies were breaking their large applications into smaller, independent services, an emerging pattern now known as microservices. The idea was simple: instead of one giant application,…
Data-Driven Projections with Kotlin Notebooks
Data-Driven projections help developers who organise work, estimate features and want a smarter way to see into the future. All the while staying inside their favourite IDE. Why We Need Better Projections In the before-fore times I was working in a team that stared at the same old backlog of…
Building the core for the autonomous car
This is the second article of three. In the first article, “Connecting Java Reinforcement Learning to Python Gymnasium“, we covered the integration between Java and Gymnasium and established the foundation for testing the algorithm in simple environments such as CartPole and…
The Poisoned Macchiato: Signing Java SBOMs with Cosign
A man in a red fedora sits at a marble table high above the city, floor-to-ceiling glass behind him, holding back a skyline at dusk. He wears a green tweed three-piece suit, a patterned cravat at his throat, and an ornate silver-handled cane rests against his chair. Across from him sits a…
Achieving Microsecond Latencies with Java: Practical Techniques for Building Ultra-Fast Systems
Introduction Four years ago, I joined a crypto trading company. First week, I’m sitting in a meeting and someone casually mentions we need to process “north of 10 gigabytes per second of market data.” I’m nodding along like this is normal. It’s not normal. Our Java application was a…
Java 26 GC: Making Data Streaming Faster and More Reliable in Containers
Imagine running a Java application that processes massive amounts of data in real time. Example financial transactions flowing through Kafka or analytics pipelines in Flink. These apps need to be fast and consistent, but there’s a built-in challenge: Garbage Collection (GC). What is…
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