Operations | Monitoring | ITSM | DevOps | Cloud

The pace of change in AI development has been dizzying. In just a few years, we’ve moved from experimenting with AI, machine learning (ML), retrieval augmented generation (RAG), and agents to asking how these innovations can solve real business problems. Enterprises are no longer impressed by the novelty and possibilities; instead, they expect outcomes.

When you don’t have reliable processes for managing IT assets, you can quickly lose control. Asset inventories lose their accuracy, data across tools like CMDBs and spreadsheets stops matching reality, and no one can say with confidence what equipment is in use, where it’s located, how it’s connected, and whether it’s still needed. For data center professionals, a lack of asset visibility creates real risks.

What makes GPUs so crucial for AI workloads? Is it just about raw processing power, or is there more to it? As we explore the world of AI infrastructure, understanding the role of GPUs is essential. Let's dive into the math behind AI. At its core, AI is all about mathematics, and matrix multiplication is a critical component. Whether you're training a model to recognize images or predict outcomes, the data is converted into massive arrays or matrices of numbers.

The rise of AI coding assistants means new "developers" in many organizations. Your safety nets (and on ramps) need to be built with citizen developers in mind. Innovation is moving faster than ever. That’s great. With AI code generation accelerating professional developers and the rise of "citizen developers" thanks to tools like vibe-coding, we’re seeing more code written today than ever before.

Alex, an SRE at Greenagonia, starts the day knowing there’s a big launch coming. Pre-orders suggest a 5-10x increase in normal traffic, which means coffee needs to be extra strong this morning. As Alex scans through overnight alerts, he realizes he’s completely forgotten about a dentist appointment that overlaps with his upcoming on-call shift. Six months ago, this would have meant frantic Slack messages or at least one phone call. Today? Alex’s AI teammate has it covered.