Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

Earlier this year, Auvik released our annual IT Trends Report, spotlighting some of the key changes for network management, MSP, and IT practitioners. We know the market and its ups and downs can have a huge impact on the success of MSPs, so we’re bringing you a roll-up of key statistics and findings related to MSP specifically. Read on to see what we found.

AI adoption is accelerating across nearly every industry. According to McKinsey’s 2025 State of AI report, 78% of organizations now use AI in at least one business function, up from just 55% the year prior. From real-time analytics to generative tools and process automation, AI is becoming a fundamental part of how modern businesses operate and compete.

A live demo is one of the easiest ways to see if Auvik fits your network management needs. In just one session, a product expert walks you through core workflows, highlights features that matter to your team, and answers your toughest questions — no setup required. If you’re thinking about switching network monitoring solutions, a demo can be more helpful than a trial.

Migrating your network infrastructure and management tools to the cloud offers tremendous advantages for modern businesses. As legacy on-premise data centers face growing limitations, shifting critical IT resources into robust cloud platforms provides the agility, efficiency, and innovation needed to stay competitive. This article explores the many benefits of cloud migration, including the financial, operational, and strategic upsides.

Managing networks has never been more complex—more devices, more remote work, and more security challenges. Traditional on-premise solutions can struggle to keep up, requiring constant maintenance and on-site troubleshooting. That’s why businesses are shifting to cloud-based network management, which provides real-time visibility, automation, and remote access to keep networks running smoothly.

Switching from one network management system (NMS) to another is a big decision for IT teams and MSP businesses. An NMS is the central hub for everything from network troubleshooting deep dives to planning hardware refresh cycles and enabling quarterly business reviews (QBRs). And even if a different platform is clearly a better fit for your organization than your current NMS, it’s important to consider the operational overhead of actually making the switch.

Cloud adoption has reached a tipping point — 98% of U.S. organizations have already migrated at least some business operations to the cloud. Global cloud spending is projected to reach $1.3 trillion by 2025 as companies rapidly embrace off-premise solutions, with 63% of IT decision-makers reporting accelerated cloud migration plans over the past 12 months.