Operations | Monitoring | ITSM | DevOps | Cloud

Microservices migrations represent significant investments for organizations seeking greater agility, scalability, and development velocity. Yet without clear metrics to guide the journey and measure outcomes, these initiatives risk delivering technical change without meaningful business impact. Establishing appropriate success measures ensures that migration efforts stay aligned with organizational goals while providing visibility into progress and value delivery.

One of the most common questions we receive is about the difference between Aiden (our DevOps Copilot) and general-purpose AI tools like ChatGPT. The key distinction is that Aiden is an agentic AI platform that can directly connect to your DevOps tools and environments, while ChatGPT remains generic without real-world connections. This fundamental difference transforms Aiden from an advisor to an active participant in your DevOps workflows.

Microsoft Azure offers over 150 cloud services across IaaS, PaaS, and SaaS. But for many teams, it can be expensive, complex, and hard to tailor to specific needs. If the platform feels like overkill or just isn’t the right fit, this guide covers the best Azure alternatives — and what makes each one worth considering.

In the fast-moving world of IT operations, Gartner’s research provides critical insight into where the market is heading, and which vendors are leading the charge. In the past year, Resolve earned three powerful validations of its innovation and impact: These distinctions reflect more than technical capabilities. They reinforce Resolve’s mission to drive a new era of intelligent, autonomous IT orchestration through agentic automation.

If you are fine using a conventional cloud cost management tool, Apptio’s Cloudability can be a helpful tool. It promises to enable DevOps, IT, and finance to optimize cloud resources for quality, speed, and cost. A large business with a high cloud spend, a team of 5-10 engineers, and a budget for expert guidance is an ideal match for Cloudability.

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.