Operational Efficiency

Do more with less by optimizing all aspects of your IT organization.

Operational efficiency graphic

What is operational efficiency?

Operational Efficiency means maximizing outputs while minimizing inputs. In the context of IT, operational efficiency refers to using the least amount of effort to help increase the return on investment. Engineers, for instance, can spend less time fixing problems, troubleshooting, and keeping the lights on, and more time innovating and improving.

LogicMonitor helps Bandwidth increase their time to develop by 80%

Austin Culbertson, NetOps Observability Manager at Bandwidth, talks about his organization’s progress toward unified observability and the important role operational efficiency plays in their strategy.

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Bandwidth makes strides with operational efficiency

Whitepaper: Increasing Operational Efficiency with Monitoring Best Practices

This whitepaper outlines monitoring best practices that unlock the automation MSPs need to drive efficiency and scale more quickly.

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operational efficiency

Operational efficiency benefits

GCP Billing dashboard

Save money

A penny saved is a penny earned. Operationally efficient IT departments can save organizations millions of dollars annually, and it starts with the ability to monitor everything in your IT stack.

Using LM Envision, thousands of out-of-the-box integrations and data sources mean you can reduce costs from every angle, including reducing time troubleshooting, saving on server allocation, and so much more.

Dynamic Dashboard: Clients/ Customers

Be agile

A key benefit of operational efficiency is the ability to be more agile. As IT becomes more complex, eliminating redundancies, reducing tool sprawl, and automating onboarding are essential to efficient best practices.

AWS EC2 Monitoring Dashboard

Reduce MTTR

Reduce noise, backed by context, so issues can be resolved faster.

Use LogicMonitor’s root cause analysis to:

  • Make signals more actionable
  • Identify and group alerts due to dependencies based on topology
  • Limit alert notifications to root cause
  • Prevent alert storms
  • Understand more with automatically detected log anomalies
  • Troubleshoot faster within context indicators for anomalies, reducing the need to context switch
Dynamic thresholds in LogicMonitor showing the automatically learned bounds of an expected data range for a particular datapoint.

Focus on what’s important

Ensure the right issues are being sent out to teams, and the wrong ones aren’t.

LogicMonitor’s dynamic thresholds can:

  • Automatically learn what’s normal
  • Suppress non-anomalous alerts
  • Generate alerts for anomalies
  • Include support for the rate of change and seasonality

See what our customers are saying:

Simple Effective Event Log and Resource Monitoring/Alerting tool

LogicMonitor is used by our organization to actively monitor servers and cloud infrastructure for both events and resource utilization. Our main objective is to use the tool to detect and alert IT staff of anomalies or other potential downtime that could impact our customers and employees. LogicMonitor is currently deployed to key infrastructures such as VM hosts, domain controllers, critical servers, and Azure resources such as VMs, Frontdoor, Kubernetes, etc.

Nov 21, 2022

Aaron Nielson

Security Systems Architect


LogicMonitor has been a homerun!

LogicMonitor is great for organizations needing to get better visibility into their IT Operations and those needing to reduce workloads so that their IT teams can focus on more strategic projects.

Jul 01, 2022

Zachary Brand

Senior Director of Connected Solutions Delivery


LogicMonitor: Highly Recommended

LogicMonitor replaced the others because it provides better value for us: it is more effective, reliable and efficient at delivering functionality.

Jun 28, 2022

Michael Dieter

Senior Systems Engineer

Loyola University Maryland

Card Image for Webinar

Automate and scale

LM Envision was built to help scale your business, using automation to eliminate redundancies. Clone and customize data sources, allowing you to easily manage custom applications across multiple environments.

For MSPs using LM Envision,customer onboarding is seamless. The platform automatically provides extensive visualization into all key technologies related to customer environments and other services. The time saved by automating onboarding can greatly increase operational efficiency.

Intelligent alerting

If you don’t have to worry about keeping the lights on in your house, why should you have to worry about it at work?

Get warnings early. LogicMonitor’s intelligent early warning system features:

  • The ability to distinguish signals from noise
  • The ability to eliminate noise and focus on what needs attention
  • Dependency Mapping
  • Actionable signal configuration

For example, say you’re looking at memory usage for a Kubernetes container. With one click, LM Envision can show anomalies from the collected data over a period of time, showing drops or upticks dynamically based on historical data, and only notify you when something is out of the norm. Additionally, you can set your own hard parameters for usage, so if memory usage drops below the acceptable range, you can be notified of a critical alert, potentially saving you significant time troubleshooting.

Proactive Monitoring with AIOps Early Warning System

Less time fixing, more time improving

LM Envision is built to go beyond monitoring, allowing you to identify and quickly resolve issues that arise, ultimately reducing MTTR. Automatically surface anomalies and see them in the context of your alerting, so you can go from wondering what’s wrong to finding why something happened –making troubleshooting happen much quicker.

Let’s say you’re using a Tomcat server, and one of the engineers spelled one of the document roots incorrectly, which created a path that doesn’t exist. Moments later, you were alerted that your web server went from good to bad, showing HTTP 4XX errors. By taking a quick look at log anomalies, LM Envision helps you see when those errors started occurring, as well as changes detected prior to the alert triggering. Instead of troubleshooting for hours because of one & accidentally thrown in.

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