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.
Bandwidth makes strides with operational efficiency
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.
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.
Operational efficiency benefits
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.
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.
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
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
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
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
Using LogicMonitor as a Non-MSP
LogicMonitor’s licensing is per device instead of SolarWinds per interface. This means a switch only needs one license compared to SolarWinds licensing per port on the switch. SolarWind’s GUI is old and not very intuitive to new users. Setting up users in LogicMonitor is super easy and the use of roles makes managing permissions simple.
May 17, 2021
LogicMonitor is one of the best monitoring tool I have ever deployed.
LogicMonitor support is very good. Their response time is fast and we didn’t have any issues.
Sep 10, 2020
The Lowdown on LM
[LogicMonitor is] great for keeping an eye on infrastructure at a small scale (office-wide) or large scale (planet-wide).
Dec 18, 2020
LogicMonitor will become your Ops Team process improvement tool
We are a managed services IT staff and use LogicMonitor to support our clients and our own infrastructure. We sell monitoring as a service and Logic Monitor serves a critical role in that service.
Dec 14, 2020
LogicMonitor is Time Saving Magic!
Hands down the best support we have received from any vendor. Same top tier experience at any time of the day whether it is a simple question or a complex issue. They listen to feedback and do their best to implement feedback on problems that are discovered. Support is always providing references and material to learn more about what you are asking in a non-condescending manner which is appreciative.
Dec 13, 2020
Second time LogicMonitor customer
LogicMonitor’s onboarding process is smooth. Typically you would have an engagement with professional services to walk through the tool and have assistance onboarding select devices. The support portal has excellent documentation on adding third party environments like AWS and Azure into the platform. Additionally, the ability to setup NetScans to automatically enroll devices is welcome.
Dec 11, 2020
LogicMonitor is how monitoring should be.
There are few scenarios where LogicMonitor is not the right choice as a monitoring platform; in fact I cannot think of any where LogicMonitor was the issue.
Dec 10, 2020
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.
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.
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.