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The latest News and Information on Cloud monitoring, security and related technologies.

The secret behind Carnegie's fortune and the lesson for the AI era

Point A: 1835. Andrew Carnegie is born in a weaver’s cottage in Dunfermline, Scotland. The cottage has one main room, which the Carnegies share with another family. Point B: 1901. Andrew Carnegie becomes the richest man in the world when Carnegie Steel Company wins the Iron vs. Steel industrialists’ war, and he sells the company to J.P. Morgan for the modern equivalent of $450 billion.

Azure FinOps with AI: What's New in Turbo360 v5.2

Turbo360 v5.2 is the biggest AI update we've shipped. Every module now has AI built in - not just to surface data, but to explain it, guide you through it, and help non-experts take action without needing to call in a specialist. In this video, Mike Stephenson walks through every new feature in v5.2, from AI agents that explain cost drivers and rightsizing recommendations, to a brand new Savings Tracker that gives you a better way to prove FinOps impact to management.

Turbo360 for System Integrators: Grow Your Azure Practice

If you deliver Azure integration solutions for clients, this video is for you. Fragmented tooling, unpredictable bills, and support incidents that eat into your consultancy time — these are the problems that limit how fast SI partners can scale. Turbo360 helps you solve all three, and turn each one into a business growth opportunity. In this video, Turbo360 CTO Mike Stephenson (Microsoft MVP) walks through how system integrator partners are using Turbo360 to deliver better outcomes for clients, reduce support overhead, and build managed service revenue alongside their integration practice.

How Kubernetes Operators May Conflict With Resource Optimization (And How to Avoid It)

A Kubernetes Operator is a method of packaging, deploying, and managing a Kubernetes application. It extends the native Kubernetes API by combining custom resources (CRDs) with a dedicated controller: a custom control loop that continuously watches the state of those resources. The primary purpose of an operator is to automate complex, stateful applications (like databases, message queues, or monitoring suites) that require human operational knowledge to maintain.

New in Kubex: KAI Scheduler Integration for Shared GPU Inference

Today, we’re launching Kubex support for the KAI Scheduler and automated GPU sharing for inference workloads. As AI inference moves into production, platform teams are being asked to serve more models, support more teams, and control GPU costs at the same time. But many inference workloads do not need an entire GPU all the time. When teams reserve full GPUs or oversized GPU fractions to stay safe, expensive capacity can sit idle across the cluster.