Operations | Monitoring | ITSM | DevOps | Cloud

When your Microsoft 365 tenant reaches the SharePoint storage limit, the impact is immediate. File uploads start failing, Teams sites stop provisioning, indexing slows down, and storage overage charges begin applying automatically. For organisations storing large volumes of documents, drawings, media files, or project data, hitting the SharePoint capacity threshold can become a recurring and expensive problem—especially when underlying retention policies prevent deletion.

We shipped an improvement to Sentry's game engine and native SDKs that most developers probably didn’t even notice until now – unless they were explicitly aiming to test their Windows-built games on Linux with Wine/Proton compatibility layers. That's exactly the point. While we were focused on improving our game engine SDKs, our learnings while investigating a mysterious issue are applicable for any Windows application running on Linux via Wine or compatibility layer.

Let’s be honest—the cybersecurity battlefield keeps changing fast. Attackers evolve their tactics, networks expand, and data flows in every direction. If you’re responsible for protecting your organization’s security, staying ahead of cyber threats can feel like chasing shadows. This is where effective cybersecurity monitoring comes in.

A war room is a dedicated space where a cross-functional team gathers to handle critical incidents. While the term once implied a literal room filled with maps and consoles, today many war rooms live online with video links, shared dashboards, and collaboration tools.

I benchmarked EBS and S3 Express One Zone across EC2 and EKS setups to settle a question we kept hearing from customers: “What’s the best temp storage for ML pipelines?” The short answer: Here’s the full story and why it matters to your ML pipelines.

Last month was certainly eventful. (If you use AWS or Azure, you probably already know what we’re talking about). But in case you missed it, here are the must-see headlines from October 2025.

When you're shipping LLM features, a lot of the work goes into keeping the model's behavior predictable. You deal with questions like: These are everyday concerns when you integrate LLMs into production systems. Guardrails AI provides a Python framework that helps you enforce those expectations. You define the schema or constraints you need, and the framework validates both the inputs going into the model and the outputs coming back.

This is the next installment of the series on building a database and an application called dbRosetta using AI/LLM. Part 1 introduces the concept. THE AI PICKED DATABASE FIRST! Look, I talk databases at this thing a lot, so it probably knows my own preference, but when I asked it, it chose to build a database separate from the code. Let’s get into it.

Whether it’s a stalled Log Reader Agent, a conflicting insert on the subscriber, or a failed cleanup job bloating the distribution database, Redgate Monitor now brings SQL Server replication issues to light early, before performance or reliability are affected. In many SQL Server environments, replication remains essential for offloading reporting and analytics workloads, or for maintaining local and synchronized data copies across regions.