Context is King: AI and the Power of Network Event Correlation

• Too Many Events. Not Enough Insight.

Enterprise IT systems generate millions of logs and metrics daily, yet a vast majority of these are reviewed in isolation. According to a recent EMA report, nearly 70% of NetOps teams still rely on manual investigation to connect related events — leading to slow root cause analysis and frequent misdiagnoses.

• Correlating Signals Across Layers

AI-powered correlation engines analyze telemetry across the stack — connecting packet loss at the edge to a CPU spike in the core or API timeouts to DNS anomalies. This creates a unified picture from fragmented data. The result: patterns that make sense, alerts that matter, and faster decision-making.

• From Data to Understanding — Automatically

One fintech company integrated AI-based event correlation into its incident workflow. Instead of sifting through 200+ alerts during each minor outage, the platform grouped them into a single, traceable root cause — reducing noise by 85%. Engineers were able to shift from reaction to resolution within

Events without context are just noise.

Observeasy uses AI to correlate across logs, metrics, and traces — turning fragments into focus.

📌 Cut through the chaos, accelerate root cause analysis, and understand your network in context.

👉 Book a demo to see how correlation transforms your NetOps.