Operations | Monitoring | ITSM | DevOps | Cloud

If you’re in IT operations, you’ve likely faced the disconnect firsthand: your dashboards say everything’s green, but your business stakeholders are asking why the website is slow, the customer portal is timing out, or a regional service is underperforming. Your team is usually on top of issues, such as monitoring infrastructure health, resolving alerts, and keeping systems online. But the business isn’t looking at device uptime.

Downtime is more than an inconvenience these days, nor is it solely a problem for the ITOps team. Since every organization is a digital business, downtime can cost millions of dollars per hour, stall innovation, and erode customer trust. Yet most IT teams are still trapped in reactive mode, scrambling across fragmented tools and drowning in alert fatigue. That model no longer works. The future of IT is about foresight, not firefighting.

As technology scales and data volumes accelerate, organizations face a pressing challenge: how can they modernize data infrastructure without putting daily operations at risk? Data historians, specialized databases that capture and store time-stamped machine and sensor data, have long been the foundation for reliability and compliance. However, they were not designed for the openness and advanced analytics that modern workloads demand.

AI adoption continues to explode, and so do their costs. By mid-2025, enterprise LLM spend had already hit $8.4 billion, more than double the year before. And in a major shift, Anthropic recently overtook OpenAI as the enterprise leader. Their Claude models are now core tools for companies adding generative AI technology into their products and workflows. CloudZero recently announced we are the first cloud cost platform to integrate with Anthropic.

At Interlink, we believe the future of IT Operations (ITOps) is about Service Observability, incident prevention and automated remediation.

In digital systems, communications, apps and IT/operations, the terms alerts and notifications are often used somewhat interchangeably – but there are important distinctions. Understanding these differences helps design better user experiences, reduce overload, and improve response to critical issues. Here are some of the defining contrasts: A few concrete examples help illustrate.

Security expectations around data centres have changes, and it’s no longer enough to secure the perimeter or roll out a firewall policy. Today’s infrastructure relies on interconnected systems, from APIs and cloud endpoints to HVAC controls and building access tools, all of which can be targeted, misconfigured, or exploited.

The demands placed on digital infrastructure have changed. Businesses are adding locations, connecting to cloud platforms, or responding to changing compliance requirements. Rigid network contracts and fixed provider models no longer make operational sense. Carrier neutral data centres offer a different approach. By enabling provider choice, flexible routing, and integration on your terms, they give infrastructure teams more control, and more room to move.

Data centre energy use has become a critical factor in business infrastructure strategy. Once a background cost, it now plays a direct role in decisions about operational resilience, sustainability reporting, and future capacity planning. The scale of consumption is hard to ignore. Even smaller facilities can draw between 1 and 5 MW of continuous power, enough to supply thousands of homes. Larger hyperscale environments consume significantly more, 20 MW to over 100 MW of power.

Today, more than ever, organizations face a difficult balancing act: how to keep sensitive data fully under their control while still making it accessible and usable so teams can unlock the value and insights they need. Industries such as financial services, healthcare, and government agencies often must comply with strict regulations that require data to remain in environments they directly own and manage.