How LogicMonitor uses AI to eliminate alert fatigue and streamline IT monitoring

Keith Shaw: Hi everybody, welcome to DEMO, the show where companies come in and show us their latest products and platforms. Today, I’m joined by David Femino, he is the Principal Product Manager at LogicMonitor. Welcome to the show, David. David Femino: Thanks, Keith.

Keith: So tell us a little bit about LogicMonitor and what you're going to be showing us today.

David: LogicMonitor is a SaaS-based hybrid observability platform. We're a monitoring tool that helps IT engineers understand what's going on in their environment—and helps them be both proactive and reactive when troubleshooting.

Keith: All right, so you mentioned IT engineers. I’m assuming this is designed for the IT operations space?

David: Yeah, we work closely with the office of the CIO. Everyone who needs to support infrastructure. We spend a lot of time making sure teams aren’t just troubleshooting, but also reducing spend and spending more time on critical projects.

Keith: Okay, so what is the major problem you're helping them solve? Why would people be interested in this platform?

David: With modern IT infrastructure, everything is changing—AI workloads, dispersed networks, cloud, on-prem... it’s exploding. LogicMonitor helps unify all of that information into a single platform. It brings teams together to collaborate and troubleshoot faster and ensures issues are resolved in a timely manner.

Keith: So I’m hearing speed and efficiency—making things work better. What would a company be doing without LogicMonitor? Using something else? Spreadsheets? Sticky notes?

David: A lot of times they’re using disparate tools—cloud vendor–specific monitoring tools like CloudWatch. That slows things down and creates silos. Information doesn’t flow between teams, and that leads to a lot of finger-pointing: “It’s the network team.” “No, it’s the application team.” We try to eliminate that.

Keith: When we talked before the show, you mentioned alert fatigue. That’s a big issue in IT ops. People get overwhelmed with alerts they don’t even need, right? David: Exactly.

With LogicMonitor’s Edwin AI, we use event correlation. Our Event Intelligence platform can take thousands of alerts and distill them into a single insight. It helps teams focus on what matters and eliminates the alert noise. Let’s jump into the demo.

First, I want to highlight what LogicMonitor can discover. We support discovery of both on-prem infrastructure—network devices, switches, servers, firewalls, etc.—and cloud infrastructure across AWS, Azure, and Google Cloud. We integrate with them to provide unified visibility.

Within the platform, we use AI and ML for forecasting, more intelligent alerting, log enrichment, and contextual visibility. We also integrate with a wide range of ITSM and alerting tools so teams can respond faster and resolve incidents.

Keith: So if I’m a company using six or seven tools, I probably have six or seven dashboards, right?

David: Correct—and we consolidate that into a single view. Plus, we make that data available across teams. In many environments, the network team might not even have access to a tool used by the app team. LogicMonitor breaks down those silos so everyone gets the information they need.

We also make it really easy to get started. We support both local collectors and cloud collectors, so regardless of where your infrastructure resides, we can ingest that data seamlessly. We have wizards that guide setup—network scans, cloud API integrations, AI workload monitoring, vector databases, LLMs—whatever you’re using.

After discovery, the data appears in our dashboard.

Keith: I’m assuming green is good? David: Yes—green is good, yellow is caution, and red means something needs attention. We have a "group by" feature that allows dynamic grouping—by provider, resource type, and more. It updates the display in real time.

When we click on a resource, we see its current state, alert history, and relevant metadata. Sometimes, understanding all the underlying infrastructure isn’t necessary. In service-based architectures, you may just need to know whether a key component is down. We help surface that at the right level.

Let’s look at the application view. This breaks down all our apps—HA Proxy, time-series databases, etc. If I’m paged about an issue with Zookeeper, I can drill down to see which nodes are healthy and which ones are in an error state.

We also show trend projections—what we expect to happen based on historical data. You can compare 24-hour and 7-day views to assess whether it’s a one-off issue or part of a larger pattern. You can then analyze whether the problem is localized or if other resources are impacted.

Our forensic session feature simplifies log analysis. It highlights important log keywords—so you don’t need to manually search or build complex queries. If Zookeeper has no leader, we’ll highlight that in red so it’s immediately visible. From there, you can build dashboards for whatever matters—like AI workloads.

We show GPU utilization, LLM input/output token metrics, vector database requests—all in one place. So you don’t need separate tools for each domain. Finally, let’s talk about Edwin AI. Edwin AI focuses on event intelligence and generative AI assistance. Remember all those alerts from earlier?

Edwin correlates them into a single, actionable insight. We might take three seemingly separate alerts and merge them into one incident, say, on a virtual machine in Azure.

We’ll show you the insight, when it was triggered, the underlying alert types (SNMP, uptime, web check, ping loss), and how they’re connected. We even offer GenAI-generated summaries—human-readable descriptions of the issue, potential root causes, and recommended remediation.

We’re also working on AI agent functionality—like a chat assistant that lets you ask follow-up questions. You can say, “Tell me more about this log,” or “Explain this metric,” and the assistant will help you troubleshoot faster.

Keith: Yeah, you can’t be on the show these days without talking about generative AI—everyone’s got it now. Very cool. I know you’ve got more features to show, but where can people learn more?

David: Our website—logicmonitor.com. We have tons of use cases and case studies. Reach out to our team—we’ll help you get started.

Keith: Do you offer a free trial? David: Yes, reach out to your account rep and they’ll get you set up.

Keith: David Femino from LogicMonitor, thanks for being on the show—and thanks for the demo. David: Thank you! Thanks for having me.

Keith: That’s going to do it for this week’s episode of DEMO. Be sure to like the video, subscribe to the channel, and drop your thoughts in the comments. Join us every week for new episodes. I’m Keith Shaw—thanks for watching.