LogicMonitor will be at AWS Summit New York to show how teams can connect AWS monitoring, digital experience data, and AI-guided operations before performance issues reach customers.
LogicMonitor runs on AWS and has first-hand migration experience from moving its own data centers to AWS.
LM Envision gives teams visibility across AWS services, hybrid infrastructure, VMware environments, Kubernetes, networks, storage, applications, and business services.
Edwin AI brings together telemetry, topology, event context, and service impact to help teams understand what changed, what’s affected, and what to do next.
Catchpoint adds outside-in visibility across digital experience, Internet performance, application journeys, DNS, API, CDN, ISP, SaaS, and external dependencies.
At AWS Summit New York, LogicMonitor will focus on AWS migration, AI and high-performance workloads, operational noise reduction, and digital experience visibility.
AI is changing how teams build, deploy, and support digital services. It’s also putting more pressure on the systems behind those services: compute, storage, networks, Kubernetes clusters, Internet paths, third-party dependencies, and hybrid infrastructure.
For many enterprises, more of that system now runs on AWS. At AWS Summit New York, LogicMonitor will show how teams can connect AWS monitoring, digital experience data, and AI-guided operations before performance issues reach customers.
Meet LogicMonitor at AWS Summit New York and see how Autonomous IT connects AWS, hybrid infrastructure, digital experience, and Internet performance.
AWS gives enterprises the scale and flexibility to modernize quickly. Teams are migrating VMware workloads, expanding cloud-native services, building on Kubernetes, experimenting with generative AI, and using AWS services like Amazon Bedrock and SageMaker to move faster.
EC2 instances launch and terminate. Kubernetes clusters scale. Applications depend on services inside and outside AWS. AI workloads add new performance and cost variables. A single customer-facing experience may rely on cloud infrastructure, data center systems, external APIs, DNS, CDN performance, Internet routing, and SaaS services.
Dashboards alone can’t connect those signals fast enough during an incident. Teams need to know which service changed, which users are affected, and whether the issue sits inside AWS, outside AWS, or somewhere between systems.
LogicMonitor and AWS: A Partnership Built for Hybrid Transformation
LogicMonitor runs on AWS and has migrated from its own data centers to AWS, giving the team first-hand experience with cloud transformation. That experience shapes how we help customers plan migrations, reduce risk, validate performance, and operate after workloads move.
For AWS customers, LogicMonitor provides visibility across cloud and hybrid environments, including AWS services, on-premises infrastructure, VMware environments, Kubernetes, networks, storage, applications, and business services.
LogicMonitor is also available in AWS Marketplace, giving customers a streamlined way to buy through AWS. For organizations with AWS committed spend, Private Offers can simplify purchasing while supporting broader modernization work.
Edwin AI Turns Signals into Next Steps
Edwin AI is LogicMonitor’s AI agent for IT operations. It brings together telemetry, topology, event context, and service impact so teams can understand what changed, what’s affected, and what to do next.
In AWS environments, that context can change by the minute as instances launch, containers scale, dependencies shift, and customer-facing services move across cloud and hybrid systems. Metrics, logs, traces, events, configuration changes, and performance data all move too fast for manual correlation.
Edwin AI reduces that work by adapting thresholds, correlating events, surfacing context-rich alerts, accelerating root cause analysis, summarizing incidents, and recommending next actions. Teams get clearer priorities during incidents and a practical path to governed automation where it makes sense.
No Blind Spots Means Seeing AWS From the Inside Out and Outside In
Most AWS monitoring conversations start inside the cloud. Teams need visibility into services like EC2, S3, RDS, EKS, ECS, Lambda, VPC, load balancing, Bedrock, and SageMaker.
But customers don’t experience infrastructure from the inside.
They experience applications from the outside. They feel slow page loads, failed transactions, broken journeys, regional latency, third-party outages, and Internet performance issues. They don’t care whether the root cause lives in AWS, a data center, a DNS provider, a CDN, an API dependency, or somewhere between systems.
That’s where Catchpoint adds critical outside-in visibility. It extends LogicMonitor’s view beyond internal systems into digital experience, application journeys, web performance, DNS, API, CDN, ISP, SaaS, external dependencies, and Internet performance. Teams can validate whether services are reachable, responsive, and performing the way users expect.
With internal AWS telemetry and outside-in experience data in the same operating picture, teams can answer sharper incident questions:
Is the issue inside AWS, outside AWS, or somewhere between systems?
Which users, regions, services, or application journeys are affected?
Is this a service issue, an Internet issue, an external dependency issue, or a hybrid infrastructure issue?
What should the team prioritize first?
How do we verify that the experience has recovered?
Modernization Doesn’t End When Workloads Move
A migration isn’t finished when the workload moves. Teams still need to validate performance, monitor dependencies, control costs, and make sure users aren’t affected.
AI initiatives create a similar operational burden. Once a model is deployed, teams still need to monitor the infrastructure supporting it, including compute, storage, networking, Kubernetes, AWS AI services, application dependencies, and user experience.
LogicMonitor helps teams automatically discover AWS resources and maintain visibility as environments change. For organizations migrating from VMware, modernizing data centers, or running across AWS and traditional infrastructure, that continuity reduces the risk of losing context mid-transition.
What to Expect From LogicMonitor at AWS Summit New York
We’ll be talking with AWS Summit attendees about:
AWS Migration and Modernization
How to discover dependencies, monitor source and destination environments side by side, and validate performance before, during, and after migration.
AI and High-Performance Workloads
How to monitor Bedrock, SageMaker, EKS, EC2 GPU instances, compute utilization, storage, network performance, and the hybrid systems behind AI applications.
Edwin AI
How AI-guided correlation, anomaly detection, dynamic thresholds, incident summaries, and recommended next actions reduce manual triage.
Catchpoint
How outside-in visibility across user experience, DNS, API, CDN, ISP, SaaS, and Internet health validates whether services are working for customers.
Get Clearer Answers During AWS Incidents
Most IT teams aren’t asking for another dashboard. They need to know what changed, what’s at risk, which users are affected, and what action to take next.
At AWS Summit New York, let’s talk about where AWS visibility, digital experience monitoring, and AI-guided operations can reduce risk in your environment.
Meet LogicMonitor at AWS Summit New York
See how LogicMonitor helps AWS customers connect cloud visibility, digital experience monitoring, and AI-guided operations with LM Envision, Catchpoint, and Edwin AI.
