Clarity for AWS Monitoring in Hybrid Environments
Extend the value of Amazon CloudWatch with deeper visibility, faster insights, and full context across AWS and hybrid infrastructure in one platform.
When you go beyond Amazon CloudWatch, you get deeper insights into infrastructure health and service availability, so your critical business services remain always-on
Accelerate migration success
See what’s working—and what’s not—during and after AWS migrations, so you can fix issues early and move forward with confidence.
Unify cloud and on-prem monitoring
Monitor AWS, hybrid, and data center infrastructure side by side, so your teams can troubleshoot issues faster.
Finally control AWS costs
Correlate cost data with usage and performance trends to optimize cloud spend, reduce waste, and make smarter tradeoffs.
Scale visibility with your environment
Auto-discover new AWS resources and services as they’re deployed, so your coverage keeps pace with your cloud.
Stay focused on what matters
Group related alerts and filter out noise, so your teams are notified when serious issues need action.
Resolve problems faster across teams
Give ITOps, CloudOps, and SREs one shared view of AWS health, performance, and context, so everyone acts faster with less friction.
AWS CLOUDWATCH + LOGICMONITOR ENVISION = BETTER TOGETHER
Everything you need to monitor, correlate, and act on AWS resources
From EC2 to EKS, LM Envision connects to Amazon CloudWatch and auto-discovers AWS resources. Monitor performance, detect anomalies, and surface meaningful alerts—across every service, region, and environment.
Support
Automate
Consolidate
Detect
Report
Native AWS integration
Out-of-the-box integrations for 70+ AWS services, including EC2, S3, Lambda, EKS, ELB, and AI services like Amazon SageMaker and Amazon Bedrock.
-
Automatic resource detection Discover and monitor new AWS services automatically as your environment evolves.
-
Syncs with AWS API changes Stay aligned with AWS service updates without manual maintenance.
Intelligent alert grouping and context enrichment
Automatically group related alerts and surface meaningful events using AWS-aware logic.
-
Troubleshoot after migrations Cluster alerts from related AWS resources into a single incident.
-
Context tags for faster triage Attach severity, resource relationships, and impact to every alert.
Consolidated view of hybrid data
Bring together metrics, logs, traces, and contextual events from across your AWS environment—plus hybrid and on-prem systems—in a single, real-time view.
-
Cross-signal correlation Connect log anomalies, metric spikes, and service events automatically.
-
Pre-built visualizations Use dashboards designed for AWS services, regions, and business services.
Automated performance baselines and deviation alerts
Detect and surface abnormal behavior in AWS resources without complex manual thresholds.
-
Time-series learning Model historical usage patterns to establish dynamic baselines.
-
Real-time deviation detection Alert when performance drifts from expected behavior across services.
Role-based views and scheduled reports
Tailor visualizations and data delivery for different teams, tools, or stakeholders.
-
Custom dashboard creation Build views tailored to ITOps, CloudOps, or executive teams.
-
Automated report delivery Schedule performance, cost, and availability reports with stakeholder-ready formats.
INTEGRATIONS
Built to connect with your entire ecosystem
LM Envision integrates with CloudWatch, Azure, GCP, ServiceNow, PagerDuty, and more, giving you full visibility without switching tools or losing context.
100%
collector-based and API-friendly
3,000+
integrations and counting
AI AGENT FOR Cloud-Native Ops
Edwin AI makes AWS monitoring instantly actionable
Edwin connects the dots across your AWS metrics, events, logs, and traces to surface root causes, not just symptoms. Just ask, and Edwin delivers real-time insights in plain language so anyone can act fast.
67%
ITSM incident reduction
88%
noise reduction
"Edwin AI cut noise by 90% & ITSM incidents by 76%, enabling better customer service."
"The single pane of glass across all of our regions enables us to act more proactively."
"Edwin AI delivered value within an hour of implementation."
"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."
BY THE NUMBERS
What happens when AWS resources get deeper insights and more context
0
%
fewer tickets
0
%
fewer monitoring tools
0
%
faster MTTR
0
%
time savings
GET ANSWERS
FAQs
Get the answers to the top AWS Monitoring questions.
What AWS services does LM Envision support?
LM Envision natively supports 70+ AWS services out of the box—including EC2, RDS, Lambda, S3, ELB, ECS, and more. Dynamic discovery ensures that new services are monitored automatically, with no manual configuration required.
How does LM Envision work with AWS CloudWatch?
LM Envision integrates directly with AWS CloudWatch via an API to ingest telemetry, but goes beyond it by applying visibility into AWS availability, OS, and application-level metrics for deeper insights into underlying infrastructure health and service availability.
Does LM Envision require agents to monitor AWS?
No agents are required for AWS monitoring. LM Envision collects data via AWS APIs and credentials with least-privilege IAM roles, keeping setup lightweight and secure.
Can LM Envision help reduce alert noise in AWS environments?
Yes. LM Envision automatically correlates related alerts, enriches them with context, and filters out false positives, helping teams cut alert noise by up to 80%.
How long does it take to get up and running?
Most teams connect their AWS environment to LM Envision in under an hour. Out-of-the-box dashboards and autodiscovery accelerate time to value, with no need for manual tuning.
Extend the power of CloudWatch with unified, full-stack observability through LM Envision
