Operations | Monitoring | ITSM | DevOps | Cloud

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.