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.

We’re excited to announce the release of Densify 3.0, a major step forward in our mission to deliver precision-driven cloud optimization across Kubernetes and public cloud environments. This release brings to life a new user experience, powerful automation capabilities, richer data insights, and smarter APIs—all designed to simplify and scale your optimization journey.

Reliable, high-performing systems are the lifeblood of modern digital businesses. But it's hard to know where to start, especially when you're a startup with limited resources and a small DevOps or SRE team. Fortunately, effective continuous testing doesn't have to be overly complicated. In this guide, we'll break down the essential components of continuous testing in DevOps, with special attention to the often-overlooked monitoring aspect that can make or break your testing strategy.