Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft Teams is a ubiquitous presence in workplaces all over the world. Prior to 2020, its usage was relatively moderate, with around 20 million users. However, global restrictions during the pandemic led to a 3,500% growth. Teams is now so central to business operations that Microsoft retired Skype in its favor. But this massive scale created a new problem – businesses needed better ways to monitor and report on their Teams usage.

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.

"Is our API down?" "Why can't I access the dashboard?" "Are you having server problems?" When incidents happen, support teams face a familiar nightmare: tickets flood in faster than you can respond. Your team scrambles to check system status and respond to dozens of identical questions while engineering focuses on fixing the actual problem.

Observability has an investigation problem, and dashboards and alerts aren’t enough for solving problems in today’s complex systems. AI-driven capabilities, powerful analytics, and the ability to scale are essential to drive real-time investigations while keeping costs low. We think this is why Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second time.

We’re thrilled to share that Grafana Labs has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms—for the second year in a row. This year’s report placed Grafana Labs furthest in “Completeness of Vision,” which we believe reflects our deep commitment to building a truly open, composable observability stack that gives users flexibility, control, and the tools to own their observability strategy.

Healthcare IT environments have become incredibly complex. Think about everything running simultaneously in your organization: physical medical devices, cloud platforms, clinical applications like Epic, and patient-facing applications. Each component needs to work together seamlessly, much like how ICU monitors track multiple vital signs at once. Many healthcare organizations still use monitoring solutions designed for simpler times, when systems were more isolated.

A disappearing “Submit” button. A modal stuck half-offscreen. It's not a crash or a performance regression. Just broken UX. Frustrating enough to make users rage-quit or leave a 1-star review. Error and performance monitoring catch the technical stuff: crashes, bottlenecks, slow APIs. But they won’t tell you when a layout breaks, or a UI flow subtly unravels after a redesign.

In the world of network monitoring, SNMP is the tried-and-true protocol that’s been helping IT teams monitor device health for decades. Whether you're managing switches, routers, firewalls, or access points, SNMP Device Monitoring remains one of the most widely used methods for tracking device performance and status. At Obkio, one of the most common questions we hear from prospects is: “Do you offer SNMP device monitoring?” The short answer: Yes, absolutely.

It’s one of those unspoken facts of business that the better something is managed, the less people notice. Everything just glides along. That’s a double-edged sword for managed service providers. On the one hand, you want to give clients a frictionless experience. On the other, you want them to know that’s what they’re getting — and how much you put in to deliver it.

According to Statista, over 85% of large enterprises and nearly 50% of small to midsize businesses will have adopted microservices as part of their software architecture. The shift is clear: organizations of all sizes are moving away from monolithic applications toward microservices to accelerate development cycles, improve scalability, and support continuous delivery. But this architectural freedom comes with a hidden cost, which increases operational complexity.