Operations | Monitoring | ITSM | DevOps | Cloud

Data center vacancy rates in North America have hit record lows, with reports from CBRE and JLL indicating figures between 1.6% and 2.3% as of mid-2025. This is driven by exceptionally high demand from hyperscale and AI users, which is outstripping supply and leading to significant competition for space and power. The tight market is expected to continue through at least 2027, with preleasing of new construction at high levels.

Kubernetes is now the backbone of modern software infrastructure, helping teams deploy, scale, and manage applications efficiently across clouds. But when it comes to understanding costs, Kubernetes remains opaque. Teams often can’t answer basic questions like: How do you solve the gap between engineering usage and financial visibility? CloudZero’s new Kubernetes capabilities are built to address this challenge.

Think of Percepio Detect as a security camera for your firmware—always monitoring, but only storing data when something unusual happens, such as crashes or performance anomalies. By providing rich debugging information when needed while keeping the overall data volume to a minimum, Detect enables continuous observability over unlimited time, even on resource-constrained devices such as 32-bit microcontrollers.

When we published the first Internet Resilience Report in 2024, the world was still reeling from the CrowdStrike outage that left airlines grounded and financial institutions scrambling. A year later, the stakes are even higher. The 2025 edition confirms what many of us already feel every day in IT Operations: resilience is no longer about uptime alone. It’s about protecting revenue, customer trust, and digital performance at scale.

The AI said I had to do a database first, not code. Who am I to argue? So, with all the prompts outlining the goals of the project, I’ve gone forward with the project, and step one is creating a PostgreSQL database on Azure. This is part three of a multi-part set of articles. I’ll move this list to the bottom of future articles: Part 1: Introducing the Concept of dbRosetta Part 2: Defining the Project & Prompt Templates.

Let’s start with something most people get wrong. Automation isn’t magic. It’s math. It does exactly what it’s told. Nothing more, nothing less. Every action, every response, every output is a reflection of truth in motion. And that’s where value actually begins. Most organizations still treat automation like a shortcut: a way to go faster, to handle more alerts, to “keep up.” But speed isn’t the value. Truth is.

Vercel helps you ship fast. We help you ship safe with code‑first observability that connects errors to the code and deploys behind them. Together you get speed with clear insight into what is running in production. Today we’re launching our native integration in Vercel’s Observability category so you can connect Rollbar to your Vercel projects in minutes, map environments cleanly, and track deployments from day one.

The AI SRE landscape has exploded over the past year, with vendors racing to add artificial intelligence capabilities to their platforms. For engineering leaders evaluating these solutions, the sheer number of options can feel overwhelming. Some vendors are building AI-native solutions from scratch, while others are retrofitting AI onto existing workflows. Cloud providers are embedding agents into their ecosystems, and observability platforms are adding intelligence layers to their telemetry data.

Across Europe, the cautious optimism business leaders held towards AI agents has evolved into more widespread enthusiasm. What was once a curiosity is now core to how many European organizations operate, respond, and innovate. According to PagerDuty’s latest agentic AI survey, three-quarters or more of organizations in France, Germany, and the UK are deploying multiple AI agents. This growing confidence reflects a broader trend.

It’s now easier than ever to start testing Kubernetes with Dynatrace and Gremlin. With a new strategic integration, Kubernetes services set up in Dynatrace are automatically discovered in Gremlin to make testing set up simple and fast. At a time when AI is driving massive expansions in infrastructure and dramatically increasing deployment speed, being able to set up and test new services quickly is more important than ever. ‍