Operations | Monitoring | ITSM | DevOps | Cloud

As systems move to microservices, serverless, and multi-cloud setups, debugging gets harder. You’re no longer dealing with a single log file; you’re looking at logs from dozens of services, running across different environments. Traditional debugging methods like SSH-ing into servers or adding print statements don’t scale in these environments. Cloud log management tools help by collecting logs from all your services into one place.

You're building a classification model, and your framework throws around terms like "log loss" and "cross-entropy loss." Are they the same thing? When should you use binary cross-entropy versus categorical cross-entropy? What about focal loss? This blog breaks down these loss functions with practical examples and real-world implementations.

July 10, 2025: Today, Canonical announced the release of Charmed Feast, an enterprise solution for feature management with seamless integration with Charmed Kubeflow, Canonical’s distribution of the popular open source MLOps platform. Charmed Feast provides the full breadth of the upstream Feast capabilities, adding multi-cloud capabilities, and comprehensive support.

If there’s one thing we’ve learned from years of working with innovators across industries, it’s this: Progress happens when people come together—not just to showcase, but to share, ask questions, challenge one another, push both themselves and the industry to the next level, and co-create.

Improper artifact integrity validation is a critical vulnerability in CI/CD pipelines characterised by insufficient mechanisms to cryptographically verify the authenticity and integrity of code and build artifacts traversing the pipeline. When these controls are weak or absent, adversaries with access to any pipeline stage can inject malicious or tampered artifacts that appear legitimate, enabling undetected propagation through the pipeline and eventual deployment into production environments.

The conversation around ITOps vs DevOps continues as organizations pursue agile development and responsive service delivery. While both practices share the goal of improving software and infrastructure management, they emerge from distinct historical, operational, and cultural backgrounds. Understanding how these models differ at their core helps decision-makers choose the most suitable operating strategy and align their teams for smoother collaboration.

Hi, I’m Bradley. I’m the Director of Sales Engineering at Cortex, and this is how curiosity has shaped my approach to sales engineering and building technical partnerships that drive engineering excellence.

Note: As of publication, NVIDIA has not released final specifications for the GB300 NVL72. The details shared here are based on projections informed by GB200 benchmarks, industry analysis, and expected generational improvements. As the AI arms race accelerates, data center professionals are already preparing for what’s next: the anticipated NVIDIA GB300 NVL72.