Operations | Monitoring | ITSM | DevOps | Cloud

The telecommunications industry is witnessing a significant transformation as operators realize the urgent need to retire their legacy Synchronous Digital Hierarchy (SDH) and TDM networks. With the advances of packet networks, this migration is not just a necessary transition but a strategic opportunity to enhance service offerings and operational efficiencies.

From when they're used to identifying and contacting peers, discover how to establish bilateral peering sessions.

Many organizations use a traditional IT CMDB for tracking IT assets, but relying solely on it can create blind spots in data center operations. A Data Center CMDB is purpose-built to address these challenges, offering deeper visibility, real-time insights, and operational efficiency. It is crucial to understand the difference between the two CMDBs and why switching to a Data Center CMDB could result in more optimization and efficiency.

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.

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.