New SolarWinds research reveals that AI is adding pressure and complexity for public sector IT teams, despite being positioned as a solution to ease workload.
In the race to provide full-stack visibility, many modern SaaS platforms have inadvertently created a new problem: information overload. High-end enterprise solutions are designed for companies with dedicated Site Reliability Engineering (SRE) teams that spend their entire day inside a dashboard. But for many businesses, this level of granularity is a distraction. The real question isn’t whether a tool is powerful; it’s whether it fits the everyday needs of your team.
Hybrid and multi‑cloud environments didn’t break operations—they simply outpaced the human ability to manage them. Gartner predicts that 90% of organizations will adopt a hybrid cloud approach through 2027, confirming that multi-vendor estates are now the permanent operating model. Yet, as environments grow more distributed, a “Complexity Gap” has emerged.
Hybrid IT environments are the reality for most organizations today. Unfortunately, they’re also one of the biggest reasons outages are now harder to prevent. Between on-prem infrastructure, cloud services, SaaS platforms, distributed networks, and modern applications, IT teams are managing an ecosystem of dependencies that changes constantly.
The cloud is often spoken of as a separate realm where data exists safely away from the messy realities of the physical world. But as the events of March 2026 have reminded us, the cloud has a physical home, and that home is susceptible to the same disruptions as any other infrastructure. Here’s how diversified monitoring across independent data centers can keep visibility intact when cloud services go down.