Operations | Monitoring | ITSM | DevOps | Cloud

OK, first things first. I have to admit that I am, first and foremost, an old-school UNIX systems administrator. I’m that grizzled sysadmin in your shop who soliloquizes wistfully about managing UUCP for email “back in the day.” Centralizing Logs? Yeah, we had syslog, and saved it all off to compressed files.

If you’re new to OpenTelemetry, like I was, you might be wondering how to quickly get started. OpenTelemetry is becoming the gold standard to collect all of your machine data and is changing observability as we know it. Instead of learning multiple technologies to collect all data, you can leverage a single cloud-native framework to complete your observability.

Distributed tracing is a household term nowadays – if your house is an IT department! Modern enterprises use cloud-native applications for agility and responsiveness to customer needs. When monitoring cloud-native applications, distributed tracing follows how transactions perform while traversing services or containers in the backend architecture. By definition, we’re describing production applications with requests, methods, database calls and logs that accompany a transaction.

LogicMonitor is a Software-as-a-Service (SaaS-based) technology infrastructure performance monitoring platform. This blog breaks down how LogicMonitor’s SaaS platform works from two different perspectives- architectural building blocks and data lifecycle in the LogicMonitor platform.

Have you ever experienced user complaints and struggled to find the root cause of the performance degradation? I'm sure every IT operations professional has. Is it the application? Is it the underlying infrastructure? Is it the network? What if you have a single pane of glass that will gather all the relevant metrics and telemetry and display it in an intuitive and easy to understand fashion?