Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring is the backbone of any reliable DevOps setup. And if you’re working with monitoring, you’ve likely used Prometheus. This open-source powerhouse has redefined how we track system performance, but are you making the most of its API? Prometheus is the go-to solution for monitoring container-based environments, particularly in Kubernetes. Its pull-based model and flexible query language provide deep visibility into your systems.

So you've got Prometheus up and running, but now you're scratching your head looking at those queries. PromQL (Prometheus Query Language) looks simple on the surface, but it packs some serious power once you know how to wield it. Whether you're debugging production issues at 2 AM or building dashboards that actually tell you something useful, these PromQL tricks will upgrade your monitoring game.

If your RabbitMQ queues keep growing and you have no idea why, or if messages aren’t getting picked up like they should, logs can save you a lot of guesswork. They’re basically a detailed record of what’s happening behind the scenes. This guide breaks down where to find RabbitMQ logs, how to set them up, and what to look for when things start acting up. Consider it your go-to cheat sheet for keeping RabbitMQ running smoothly.

If your system keeps crashing and you have no clue why, Ubuntu’s crash logs might have the answers. Whether you’re running a production server or just trying to keep your personal setup stable, these logs tell you exactly what went wrong. Instead of sifting through endless system logs, Ubuntu gives you focused crash reports—kind of like a security camera that only records when something breaks. Let’s break down where to find these logs and how to make sense of them.

Let's talk about keeping those microservices in check. If you're running a distributed system (and who isn't these days?), you know the drill – more services mean more potential failure points. We've got the lowdown on the best microservices monitoring tools that'll have your back in 2025.

You've got systems spitting out more logs, metrics, and traces than you can handle. Your monitoring costs are through the roof. And somehow, when something breaks at 3 AM, you still can't find the exact data you need. Sound familiar? Welcome to the observability pipeline conversation—no jargon, no fluff.

Have you ever struggled with systems that fail to tell you what went wrong? The kind where you’re digging through logs at 2 AM while alerts keep piling up. In DevOps, clear visibility into your applications isn’t a luxury—it’s essential. This is where instrumentation without code changes can help. It simplifies observability, reducing the manual effort needed to track down issues. If you haven’t explored it yet, you might be making troubleshooting harder than it needs to be.