Operations | Monitoring | ITSM | DevOps | Cloud

When alerts come in hot and fast, alert fatigue can quickly set in, overwhelming you with the volume and becoming one of the biggest operational problems for MSPs. Not knowing what to handle first and prioritize in a long list of alerts puts a strain on one of the most valuable resources you have: focus. When your technicians are constantly switching contexts and sifting through a flood of low-priority alerts, it’s asking a lot of them to stay sharp. That constant mental juggling takes a toll.

In G2’s Fall 2025 reports, Auvik earned top recognition as a leader in network management tools across small-business, mid-market, and enterprise categories. IT professionals rated Auvik highly for implementation, usability, results, relationship, and overall Grid® performance, reflecting one thing above all: real-world trust from the IT professionals who use Auvik every day.

When Microsoft rolled out Windows Server 2025 last November, it marked a turning point in how IT teams think about monitoring. Suddenly, AI-powered features like anomaly detection, predictive resolution, and even self-healing aren’t ideas on a roadmap — they’re built into the very fabric of enterprise infrastructure.

The risk of headline-grabbing incidents, like Samsung’s ChatGPT data leak, related to AI usage outside of the authorization and control of IT (a.k.a. shadow AI) is clear. Most IT teams recognize that a high-profile incident can have serious repercussions. However, the risk of shadow AI goes well beyond the risk of a single incident. In fact, the recent Komprise IT Survey indicates that 79% of organizations have experienced negative outcomes from sending corporate data to AI.

If you’ve ever worked in a loud office, you know the drill: A co-worker’s on a call, someone’s talking about the next Taylor Swift album in the break room, another’s constantly clearing their throat, and the HVAC sounds like a jet engine. It’s loud. Your brain tries to filter it all out, but it’s no use. Then you put on noise-canceling headphones… and suddenly, you can think again.

When distributed teams need network support, traditional approaches often fall short. The difference between a quick remote fix and hours of on-site troubleshooting can make or break productivity for organizations with dispersed infrastructure. Based on feedback from real users on PeerSpot, an enterprise technology buying intelligence platform, Auvik Network Management is changing how IT teams deliver remote support by eliminating common barriers and reducing resolution times.

Network performance challenges can cripple business operations, leaving IT teams scrambling to identify bottlenecks while users experience frustrating slowdowns. Without proper visibility into bandwidth utilization, latency issues, packet loss, and network availability, organizations risk reactive troubleshooting that costs time and productivity.

It’s Monday morning, and a new hire is walking into the office for their first day. Before they can dive into the work, they need access to email, project management tools, cloud storage, and a dozen other SaaS apps their role depends on. IT has already been hard at work behind the scenes, provisioning accounts, assigning permissions, and making sure everything is ready the moment they sign in.

Artificial intelligence (AI) is now embedded in everyday professional workflows — so much so that 46% of employees say they would continue using AI tools even if their organization banned them. The productivity gains are undeniable, but this widespread, unmonitored use of AI also introduces growing risks around data security, compliance, and governance.

AI adoption is progressing at a rapid pace. What started as a trickle of generative tools is now a flood of autonomous agents, custom copilots, and AI-powered SaaS, most of it entering the workplace faster than IT can keep track of.