DNS Outages Expose Hidden Risks. Edwin AI Finds Them Faster.
DNS failures reveal how small errors can disrupt entire systems. Edwin AI helps teams uncover hidden risks, protect uptime, and strengthen digital resilience.
Edwin AI exposes hidden infrastructure failures before they escalate, cutting downtime and protecting uptime.
Correlates telemetry across DNS, network, and systems in real time.
Surfaces only meaningful anomalies to reduce investigation time.
Pinpoints misconfigurations within minutes of deployment.
Strengthens operational resilience through continuous learning.
Recommendation: Adopt Edwin AI to reveal hidden risks, resolve incidents faster, and maintain uninterrupted digital performance.
The recent AWS outage exposed how fragile the internet remains. Amazon traced the hours-long disruption to a DNS error—a small failure with massive reach.
For most organizations, DNS operates quietly in the background. When it fails, every digital service connected to it stops.
One of LogicMonitor’s valued customers, IG Group, faced a similar event less than ten hours after enabling Edwin AI. At 12:30 a.m., Senior Network Engineer Steve Bamford was called to investigate a 30-minute network event. Dashboards offered no clear cause.
Edwin identified it. Correlating telemetry across DNS, network, and infrastructure layers, it pinpointed a CPU surge on DNS servers—twice the normal rate—linked to a recent provider configuration change. The signal led Steve’s team to a DNS provider’s corrupted security feed file, which was inadvertently blocking legitimate traffic.
The event ended quickly, with zero customer impact.
AI That Connects the Dots
Edwin AI pinpointed the DNS anomaly by connecting signals that traditional monitoring tools treat in isolation. It correlated spikes in CPU usage across DNS servers with downstream traffic failures, tracing the fault to a corrupted file pushed during a provider update. That pattern recognition—linking cause and effect across systems in real time—is what defines its intelligence.
Within LogicMonitor’s AI-first observability platform, Edwin continuously learns from billions of telemetry points across networks, infrastructure, and applications. It detects subtle deviations, enriches them with topology and change data, and isolates the few events that matter.
The result is faster correlation, accurate root cause identification, and fewer wasted cycles chasing noise.
Just hours after gaining access to Edwin AI, it helped us resolve a 30-minute network event that initially showed no clear indicators in our dashboards. Edwin identified unusually high CPU utilization on our DNS servers and pinpointed the root cause—our DNS provider had corrupted their security feed, blocking legitimate traffic. Without Edwin’s insights directing us toward DNS, we would have spent hours performing manual network analysis. The platform’s intuitive navigation and intelligent root cause analysis saved us two to three hours of investigation time and accelerated our response. It’s already proven its value in real-world operations.
Steve Bamford
Senior Network Engineer, IG Group
Operational Foresight at Scale
DNS failures are just one example of how hidden dependencies can fracture critical systems. Edwin AI brings those dependencies into view before they cause disruption.
Through continuous learning, Edwin AI refines its understanding of every environment it monitors—correlating event patterns, topology data, and recent configuration changes to recognize early signs of instability. It doesn’t just alert; it contextualizes each signal against history and dependency maps to predict where risk is building.
For enterprises operating complex hybrid environments, that foresight translates directly into fewer outages, faster recovery, and stronger service continuity.
Predictive Resilience in Action
Edwin AI brings LogicMonitor’s mission to life — making complexity manageable and resilience predictable. It’s the intelligence behind our AI-first hybrid observability platform, driving outcomes that matter most: uptime, efficiency, and growth.
Grounded in LogicMonitor’s four core pillars, Edwin AI enables enterprises to:
Anticipate: Identify hidden risks early and prevent failures before they strike.
Integrate: Unify telemetry across on-premises, cloud, and edge environments into a single source of truth.
Activate: Transform real-time insight into decisive, data-backed action that protects margins and accelerates innovation.
Regenerate: Optimize performance and resources to drive long-term efficiency and sustainability.
In Steve’s case, these capabilities translated directly into time saved, cost avoided, and customer experience preserved — a clear example of predictive resilience transforming operations from reactive to proactive.
Every Minute Matters
Outages and similarly disruptive events will continue to test digital infrastructure. With Edwin AI, teams gain the intelligence to detect issues early, resolve them quickly, and strengthen systems with every incident analyzed.
Predictive resilience is no longer a vision. It’s a measurable reality for organizations using LogicMonitor.
Discover how LogicMonitor and Edwin AI help global enterprises deliver consistent, reliable digital performance
Margo Poda leads content strategy for Edwin AI at LogicMonitor. With a background in both enterprise tech and AI startups, she focuses on making complex topics clear, relevant, and worth reading—especially in a space where too much content sounds the same. She’s not here to hype AI; she’s here to help people understand what it can actually do.
Disclaimer: The views expressed on this blog are those of the author and do not necessarily reflect the views of LogicMonitor or its affiliates.
