Operations | Monitoring | ITSM | DevOps | Cloud

In the last article in this series, we explored how IT professionals and leaders can cut through the hype surrounding agentic AI and gain a deeper understanding of what the technology actually offers. Now, we turn to the practical side: how to integrate it effectively. Let’s explore the challenges and outline strategies that organizations of all sizes can use to adopt agentic AI with confidence.

For many teams, API uptime monitoring still means one simple thing: checking whether an endpoint responds with a 200 OK. If the check passes, the API is marked as “up.” If it fails, an alert is triggered. On paper, that sounds reasonable. In practice, it’s one of the most common reasons API outages go unnoticed until users complain. The problem is that modern APIs are no longer simple, stateless endpoints.

Wilfried Roset is an engineering manager who leads an SRE team and he is a Grafana Champion. Wilfried currently works at OVHcloud where he focuses on prioritizing sustainability, resilience, and industrialization to guarantee customer satisfaction. As an SRE Engineering Manager and a Grafana Champion, I believe a resilient and sustainable cloud experience begins with strong observability.

When CloudZero CTO Erik Peterson joined the SourceForge podcast in January 2026, he didn’t just talk about cloud costs. He reframed them as a launchpad for innovation, survival, and competitive advantage. Whether he was describing the “trough of lost innovation,” the “freemium tax,” or why efficiency is the next frontier of engineering culture, Erik’s expert insights go beyond FinOps hygiene.

AI in network operations is more than chatbots and agents. LLMs make AI easier to use, but the real value comes from the underlying system of telemetry, data pipelines, analytics, ML models, domain knowledge, and workflows that help engineers reason, predict, and act. When designed thoughtfully, AI doesn’t replace engineers. Instead, it augments their expertise and reduces cognitive load across complex network operations.

If you work in IT, you’ve probably heard (and dreaded) the term “tech debt.” While it’s usually tied to software development, it means something slightly different in IT Asset Management (ITAM). In ITAM, tech debt is the accumulated cost of rushed asset decisions, or missing decisions, that solve short-term needs but create long-term waste, friction, and risk.

The rapid adoption of AI is fundamentally reshaping the software development landscape, driving an unprecedented surge in code generation speed. However, this acceleration has created a significant challenge for security teams: the AI velocity paradox.

In many organizations, ITSM tools and data center infrastructure tools operate in separate silos, leading to incomplete records and limited visibility. CMDB records are often incomplete or out of date because updates rely on manual entry, while incidents, changes, and service requests in ITSM lack full visibility into the physical infrastructure. Integrating DCIM with ITSM closes this gap, ensuring CMDB data matches reality and linking service workflows to accurate, actionable information.

As data center professionals plan for 2026 and beyond, it’s important to understand and consider the trends shaping the industry.

In this ecosystem update, we share the latest additions to the Console Connect platform, including our expansion into Malaysia with eight new data centre locations, enhancing connectivity across the Asia Pacific region and worldwide. Most new locations are in Cyberjaya, Malaysia’s prime data centre hub near Kuala Lumpur, offering robust dark fibre networks, redundant power and high-speed data transmission for secure, high-performance enterprise connectivity.