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
Gain complete visibility into your Oracle Cloud Infrastructure (OCI) environments with LogicMonitor’s unified observability platform. As organizations rely on OCI to power critical workloads, fragmented monitoring tools can create blind spots that impact performance and reliability. LogicMonitor delivers automated discovery, deep telemetry, and AI-driven insights across OCI, on-premises, and multi-cloud environments—giving IT and CloudOps teams the clarity they need to ensure uptime, optimize performance, and accelerate troubleshooting.
Monitor critical OCI services like Compute, Object Storage, Networking, and Autonomous Database with native coverage and guided setup. Visualize performance across your hybrid stack with out-of-the-box dashboards, anomaly detection, and intelligent alerting—all from a single platform. Simplify operations, eliminate tool sprawl, and modernize your Oracle environments with LogicMonitor.
Financial Services: IT Trends, Challenges & Solutions
Banks and financial institutions are having to rethink how they deliver services as digital banking increasingly becomes the norm and customers expect high-performing mobile experiences. The acceleration of modernization projects and changes in consumer behavior and demand has created opportunities for more agility.
Download this solution brief to learn about some of the trends already driving change in this sector and some of the challenges brought about by the pandemic and changing consumer behavior.
In this solution brief we explore:
Trends in financial services
Common challenges faced by finserv organizations
How a modern monitoring solution can help
Download the solution brief
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About VPay, the Total B2B Payment Solution
VPay uses patented technology to prevent fraud and expedite billions of dollars in payments every year through the issue of one-time use credit cards. Their solution processes more than 100,000 transactions every day for clients across several verticals including Healthcare, Auto Insurance and Home Warranty.
Potential for Quick Impact
When Shane Carden landed at VPay, he knew that he could makea huge impact. The organization was reliant on a legacy system that was not keeping up with growth and required manual processes.
Prior to LogicMonitor, VPay’s IT operations team was relying almost entirely on a combination of Zabbix for basic CPU monitoring, and the daily completion of a 144-line checklist. Four operations admins would spend eight hours going through this checklist each day to to ensure that a complex infrastructure comprised of both legacy and modern systems was up and running.
The IT team had zero visibility into network and server uptime. When an outage or problem occurred with the processing and delivery of payments, they would learn about it via customer complaint. As a result, Shane’s team was putting out as many as 30 P1 issues per month. The unreliability of VPay’s existing monitoring system was not sustainable.
And the stakes were high – particularly when it came to the many healthcare companies serviced by VPay. HIPPA compliance requires that all instruction of benefits and remittances must be delivered in hard copy, via mail or fax.
Because postage costs up to twenty times more than a faxed document, VPay relies on clusters of virtualized fax servers that send up to 14,000 faxes every hour. If a fax fails, the document must be mailed, and the cost of postage adds up quickly. For a company that relies on the successful completion of more than 100,000 faxes each day, there are tens of thousands of dollars at stake.
Just four weeks after deploying LogicMonitor we reduced P1 issues by half. A few months after that, it was down to practically down to zero.
Shane Carden
Manager, Development Operations, VPay
The LogicMonitor Solution
The choice for Shane and his team was easy: he had deployed LogicMonitor at his previous job and experienced great success for several years.
VPay’s implementation of LogicMonitor was simple and straightforward. The three-step plan started with the setup of monitoring for the fax distribution and throughput of their virtualized fax servers. Given the volume of faxes processed by VPay and the relatively steep expense of the postage alternative, it was very important that VPay was able to track successful, HIPPA-compliant communications.
With this crucial component in place, the IT team could set up monitoring of the entire complex transaction flow managed by VPay. This is critical for a company that processes nearly $500 million per month and delivers value based on tight SLAs tied to quick transaction turnaround. The third step in VPay’s deployment of LogicMonitor was to democratize the knowledge required to maintain the systems and resolve issues quickly.
LogicMonitor’s flexible alerting allowed Shane and his team to customize alerts by embedding links to support documentation directly into the alert messages. That meant that the individual receiving the alert would not only be made immediately aware of the issue, but would also be equipped with the information to resolve it on the spot.
Visible Impact
LogicMonitor’s impact on VPay’s internal operations was immediate. Thanks to LogicMonitor, VPay was able to reduce the 30 P1 issues by half in just the first month. After 60 days, the IT team was fielding only one per week. Three months after deployment, VPay became so proactive in the management of their systems, they’d cut emergency issues down to practically zero.
VPay now enjoys unified monitoring across all of its once disparate systems. The flow of hundreds of thousands of daily transactions is easily monitored across a myriad of systems. LogicMonitor made the process of pulling everything together under a single pane of glass simple and straightforward.
Furthermore, thanks to the thoughtful approach to alert messaging, systems maintenance is no longer the job of highly skilled operation admins. Shane is now able to deploy any team member to monitoring and refocus his top talent on important projects that drive business.
Improved Partner Ecosystem
Perhaps the most impactful result of VPay’s implementation of LogicMonitor is their newfound ability to proactively alert partners to issues that arise – even outside of VPay’s system. “With LogicMonitor, we’re able to route alerts and notifications directly to partners themselves,” says Shane. VPay partners appreciate the information, which makes them proactive in their approach to their own end users. The trust and collaboration fostered between VPay and its partners continues to grow and LogicMonitor has become a key player in those relationships.
One Year Later
Today, one year after deploying LogicMonitor, VPay’s internal operations are running smoothly and efficiently. Tens of thousands of dollars in savings is ensured every day by an IT team that is focused on strategic projects, and quickly processing transactions for consumers across the nation.
Oh, and that 144-line checklist? It was decommissioned just eight weeks after the introduction of LogicMonitor.
LogicMonitor helps keep AWS migrations on track and modernize workloads by observing resource health, performance, and availability across hybrid environments. LogicMonitor is a SaaS-based observability tool which is entirely platformed on AWS. To observe customers’ AWS environments and collect metrics, LogicMonitor connects to Amazon CloudWatch data via an API integration. For deeper, OS-level metrics and log data, LogicMonitor uses agentless collection technology in customers’ AWS environments. Customers can customize their Amazon CloudWatch DataSources if additional metrics are required. Additionally, LogicMonitor provides monitoring coverage and integrations into over 70 AWS services, including S3, EBS, Lambda, Bedrock, and more.