IT Operational Efficiency

Improve ITOps Efficiency with AI-Powered Observability

Maximize efficiency, reduce costs, and free up your IT team to focus on innovation. Streamline operations with automation, intelligent monitoring, and proactive issue resolution—so you can do more with less.

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Meet your IT operational efficiency goals

With LM Envision, your ITOps teams can spend less time fixing problems, troubleshooting, and keeping the lights on, and more time innovating.

Automate and scale operations with customizable data source cloning and seamless onboarding across multi-environment deployments.
Intelligently alert teams with AI for dynamic anomaly detection, dependency mapping, and customizable thresholds that surface only the issues that require attention.
Proactively monitor and reduce MTTR by surfacing anomalies in context—like tracing HTTP errors back to misconfigurations—so teams can identify root causes and resolve issues faster.

90%

Less alert noise

Driving IT operational efficiency

See how LM Envision helps reach your operational efficiency goals faster

Save money

Act with agility

Reduce MMTR

Prioritize what matters

Drive measurable IT cost savings

With thousands of out-of-the-box integrations and rich data sources, LM Envision reduces costs across the board—minimizing time spent troubleshooting, saving on server allocation, and eliminating inefficiencies throughout your hybrid environment.

Adapt quickly as IT complexity grows

As infrastructure grows more dynamic, LM Envision helps your team move faster by eliminating redundancies, consolidating tools, and automating onboarding—so you can respond to change without slowing down operations.

Resolve issues faster with contextual insights

LM Envision accelerates issue resolution with topology-based alert grouping, root cause detection, and auto-detected log anomalies—preventing alert storms and making signals more actionable.

Surface true anomalies with dynamic thresholds

LM Envision and Edwin AI automatically learn what’s normal, suppress non-anomalous alerts, and generate signals only for real anomalies—factoring in rate of change, seasonality, and dynamic baselines to keep teams focused on what matters.

Case Study

LogicMonitor helps Bandwidth increase their time to develop by 80%

Austin Culbertson, NetOps Observability Manager at Bandwidth, shares how his team reduced manual overhead, automated provisioning, and increased development time by 80%—all by prioritizing operational efficiency using LM Envision.

Read case study