Operations | Monitoring | ITSM | DevOps | Cloud

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.

Hi, I’m Bradley. I’m the Director of Sales Engineering at Cortex, and this is how curiosity has shaped my approach to sales engineering and building technical partnerships that drive engineering excellence.

Datadog and Jaeger are both leading tools in the observability space, but they represent two fundamentally different philosophies. Datadog is a commercial, all-in-one SaaS platform that unifies metrics, traces, and logs. Jaeger is a popular, open-source project focused specifically on distributed tracing. Choosing between them isn't just a technical decision; it's about balancing the convenience of a fully managed, integrated platform against the power and control of a self-hosted, specialized tool.