Operations | Monitoring | ITSM | DevOps | Cloud

Managed Service Providers (MSPs) aren’t short on data. Most of them have dashboards, KPIs, and utilization reports running across multiple screens. But having data and using it to make better decisions are two different things, and the gap between them is wider than you might think, with one study finding that only 32% of companies effectively use data to drive business value. For the other 68%, the numbers exist, they just… don’t do much.

Network monitoring is a cornerstone of running a profitable MSP. If you don’t have network visibility, you’re constantly on the back foot and reacting to client complaints. That’s why MSPs of all sizes typically implement some level of network monitoring. However, what a good set of network monitoring tools looks like for one organization won’t necessarily work for another.

Every year, MSP Summit unites some of the brightest minds in managed services. From tackling complex migrations that should have been straightforward to managing thousands of unique client environments, MSPs excel at adapting and rising to challenges, even as industry trends evolve. Even as industry trends evolve, though, one theme consistently comes up year after year: documentation.

G2 reports are built around what customers say about the products they use. In the Summer 2026 Reports, that feedback helped Auvik earn top recognition across Grid Reports and Index Reports for Network Management Tools and Network Monitoring. Try Auvik Network Management Free to try! Setup takes less than 15 minutes and you will see results in an hour. Learn more now.

Network documentation has a way of becoming everyone’s problem and nobody’s responsibility. Over time, diagrams become outdated, configuration changes go undocumented, and critical knowledge ends up living in the heads of a few senior technicians instead of somewhere the entire team can access it. That’s why organizations are turning to automated network documentation.

Modern IT infrastructure is messy, spanning multiple vendors, cloud platforms, and on-premises systems, with critical data spread across separate tools. This patchwork makes troubleshooting harder for IT teams and AI agents alike, forcing them to piece together operational context from different domains and interfaces before they can act with a complete understanding of the environment. But what if AI agents could pull operational data from across your diverse IT environment and correlate it for you?

We built something called Auvik Aurora, and before you scroll any further, I can already hear your thoughts. “Wait a second, Anto. Is this going to be another blog post giving me the hard sell on using AI?” Fair enough, I don’t think anyone would blame you, especially when we’re seeing AI adoption across nearly every industry, tool, hobby, workflow, or even . The blank is intentional, AI is everywhere, and chances are that you already know that it matters.