At scale, understanding performance in a distributed system means seeing beyond metrics and into real production execution.
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How ZoomInfo Identified and Eliminated 4am OOM Crashes with AI
Every night at 4am, a scheduled cron job inside one of ZoomInfo’s services saturated the event loop.
How Guardz Turned Silent Job Bottlenecks into Same-Day Fixes
At scale, background jobs can behave very differently in production than they do anywhere else – making root cause understanding the real challenge.
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Trusted by engineers.
Human & artificial alike.
Hud runs on millions of services across massive production environments, with negligible overhead.
“Hud eliminated our voodoo incidents. AI-powered root cause analysis turned days of drilling through tools into minutes.”
“Hud completely changed how early we detect, and how quickly we solve issues long before they impact the business.”
“AI helps us move faster only when it’s grounded in reality. Having accurate runtime context means our engineers, and our AI workflows, can reason about real production behavior and act on it safely.”
“We knew the crashes were caused by an ELU spike, but the question was what caused that spike. Using Hud, we found the answer in minutes with an AI-ready fix.”
“When engineering decisions are grounded in real execution data, it changes how confidently we ship, scale, and invest. That level of certainty directly supports the business as the platform continues to grow.”
