Operations | Monitoring | ITSM | DevOps | Cloud

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.

When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're actively collecting its internal metrics, you're essentially flying blind. Fortunately, the JMX Prometheus Receiver paired with the JMX Java Exporter Agent offers one of the simplest and most effective ways to expose JVM performance data.

Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers need a certain amount of stability to test a query or feature against, and when this stability is lacking, development can get more complicated and difficult. Enter API mocking. API mocking is an approach to generating a mock service that provides dependable data for a variety of testing purposes.

When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.

Going beyond MTTx and measuring “good” incident management We’ve chatted with hundreds of engineering teams, and a pattern keeps popping up: everyone’s tracking MTTX metrics—MTTR, MTTA, MTT-whatever—but when you ask, “Cool, so what are you doing with that?” …you get blank stares. And honestly, fair enough. Time-based metrics are easy.

To coincide with KubeCon Europe 2025, we’re excited to announce the latest release of Densify’s Kubernetes optimization engine, Kubex, which delivers full-stack resource management and seamless automation resource optimization at enterprise scale. This release delivers the advanced controls enterprises have been asking for—without sacrificing the intelligence and precision that sets Densify apart.

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.