## Why this comparison? When teams talk about observability or reliability, they are often referring to very different needs: Sometimes you need better visibility into systems. Sometimes you need tooling Continue reading Datadog vs OneUptime vs OptyxStack – Understanding the Differences in Observability and Operations→

And why it’s not their fault. This article is a response to @itsugo’s “Learning Starts After Graduation”—which makes a valid point but stops short of the deeper diagnosis. Every few Continue reading Why We Suddenly Have Developers Who Can’t Think in Systems→

We live in an era where we track every step, every heart rate variability (HRV) spike, and every calorie. But for the true bio-hacker, the holy grail is the Continuous Continue reading Stop Guessing Your Diet: Building a Bio-Hacker Agent with LangGraph and CGM Data 🩸🤖→

🤖 Exam Guide: AI Practitioner Domain 4: Guidelines for Responsible AI 📘Task Statement 4.2 🎯 Objectives This task focuses on trust: stakeholders need to understand what a model is doing, Continue reading Recognize The Importance Of Transparent And Explainable Models→

Voice Live vs Real-Time API : Quelle solution choisir sur Azure AI Foundry ? Par Nabil Ghanem, fondateur de Galaxy AI – Expert Azure AI & Microsoft Partner Avec l’essor Continue reading Voice Live vs Real-Time API : Quelle solution choisir sur Azure AI Foundry ?→

If you’ve ever had a deployment succeed but then the service acts weird, there’s a decent chance config was the culprit. Config bugs are painful because: they often pass code Continue reading Typesafe application configuration in TypeScript→

AI inference governance is a system-level control layer that determines whether, how, and under what conditions an AI model is allowed to execute. Rather than assuming every AI request should Continue reading What Is AI Inference Governance? The new definition.→

Introduction An artificial Intelligence program has recently achieved an area under the curve (AUC) of 0.94 and markedly decreased the amount of false positives and false negatives, surpassing six radiologists Continue reading AI in Diagnosis & Detection→

TL;DR: Dioxide is a dependency injection framework for Python that makes hexagonal architecture the path of least resistance. v2.0.0 adds constructor-based profile scanning, extensible custom profiles, and introspection APIs. What Continue reading Dioxide v2.0.0: Clean Architecture Made Simple→

I have been trying all sorts of orchestration tools for data pipelines and background jobs over the years (Prefect, Airflow, Dagster and others). I always stayed away from their commercial Continue reading Hybrid Dagster OSS: Scalable Compute on a Hybrid Azure Setup→