Operations | Monitoring | ITSM | DevOps | Cloud

When Java web applications experience slowdowns or crashes, the culprit is often the Tomcat server. For DevOps engineers overseeing critical applications, proactive monitoring is crucial for ensuring optimal performance and reliability. In this guide, we'll explore the essential aspects of monitoring Apache Tomcat servers, focusing on the key metrics to track, setting up robust monitoring systems, and troubleshooting common performance issues that could impact your application’s stability.

Understanding what’s happening inside your applications is key to keeping them performing well and reliably. OpenTelemetry tracing is an open-source, flexible solution that lets you monitor your distributed systems without locking you into a specific vendor. reliably This guide walks you through everything you need to know about OpenTelemetry tracing, from the basics to more advanced techniques, with practical tips for troubleshooting common issues along the way.

As DevOps grows within the tech industry, it continues to play a vital role in modern software development by bridging the gap between development and operations. DevOps engineers juggle a wide range of tasks in their daily life, combining coding, automation, system management, and team collaboration. In this blog, we’ll explore their core responsibilities, highlight essential best practices, and show how solutions like OnPage can help streamline their workflows.

Today, I’m excited to share the Internet’s Largest Incident Response Glossary. It’s a collection of over 500 terms covering on-call, alerting, monitoring, and system reliability. It took us over 2 weeks from ideation to completion of this project and in this post, I would like to share how we approached this beast!

Software teams rely on CI/CD pipelines to build, test, and deploy code quickly. But when a build fails, it can disrupt the entire workflow. Digging through logs, chasing down errors, and switching between dashboards takes time you don’t want to waste. In this tutorial, you’ll learn how to use your AI coding assistant — powered by structured data from your CI system — to diagnose and fix build failures faster.

The digital landscape is evolving at a rapid pace, and businesses are constantly seeking agile, high-performance connectivity solutions to stay ahead. Recognising this, data centres are shifting beyond their traditional role of offering just space and power. Today, they must deliver real-time access to clouds, other data centres, and applications.

Managing AWS costs just a whole lot more convenient. CloudZero now integrates with Amazon Q Developer, AWS’s AI-powered engineering assistant. A natural language processor, Amazon Q Developer helps engineers write, analyze, and debug code, accelerate workload transformations, and adopt AWS best practices, enhancing developer productivity by as much as 80%.

When your microservices architecture starts growing, tracking requests as they bounce between services becomes a real headache. You know the feeling—a user reports a slow checkout process, and you're left wondering which of your twenty services is the bottleneck. That's where distributed tracing with Prometheus comes in.

In today's connected world, APIs are the backbone of modern applications. Whether you're working on a microservices architecture, a mobile app, or a SaaS platform, APIs are what keep everything talking to each other. But how do you know if your APIs are healthy, performing well, and delivering what your users need? That's where API monitoring comes in. Let's break down what API monitoring is, why it matters, and how you can build effective API metrics dashboards to keep your systems running smoothly.