Operations | Monitoring | ITSM | DevOps | Cloud

On February 7, 2025, SolarWinds announced that they will be acquired by Turn/River for $4.4 billion and go private as soon as Q2 2025. This development has left customers questioning what’s next. Acquisitions often promise innovation, but Turn/River’s track record with similar purchases, like Paessler PRTG, has raised concerns.

Attend our webinar on April 3 to see our latest innovations live. Register IT Operations are more complex than ever, with modern data centers spanning on-premises, containers, multi-cloud environments, and AI-powered infrastructure. The rapid expansion of data sources has created an overwhelming volume of information, making manual monitoring across multiple tools impractical. Visibility gaps slow down troubleshooting and delay critical decisions, impacting business performance.

I know you’ve been there: a critical system goes down, and suddenly, you’re in a war room, staring at a blizzard of alerts, conflicting logs, and a dozen theories pointing in different directions. Time slips by as you sift through fragmented data, chasing symptoms instead of solutions. Hours of digging later, all you have are more questions and a cup of lukewarm coffee. This isn’t just frustrating—it’s draining.

Your tech stack is growing, and with it, the endless stream of log data from every device, application, and system you manage. It’s a flood—one growing 50 times faster than traditional business data—and hidden within it are the patterns and anomalies that hold the key to the performance of your applications and infrastructure. But here’s the challenge you know well: with every log, the noise grows louder, and manually sifting through it is no longer sustainable.

Most IT leaders know they need AIOps. Few have a strategy for making it work. The problem isn’t a lack of AI-powered tools; it’s the absence of a clear, outcome-driven plan. Especially given the rapid adoption of ChatGPT and LLMs in general, organizations are spending billions on AI. But without a defined strategy, AIOps quickly turns into a patchwork of disconnected tools, rising costs, and disappointing ROI.