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Troubleshoot Faster with Anomaly Visualization

LogicMonitor is proud to announce anomaly visualization as an addition to our growing AIOps capabilities! With this new functionality, users are able to visualize anomalies that occur for a monitored resource and compare that anomaly to key historical signals, such as the past 24hrs, 7 days, or 30 days. Anomaly visualization complements LogicMonitor’s existing forecasting functionality and provides another layer of intelligence to better understand resource health.

Abstracting Credentials from Python Scripts

Python has rapidly grown into one of the most popular languages for automation. That’s why LogicMonitor supports Python when it comes to managing your LM portal and expanding your monitoring coverage with scripts. During your scripting adventures, you may find yourself wanting to take your work to the next level. One widely-applicable improvement is credential abstraction.

Viewing LogicMonitor Reports Within Dashboards

As a Sales Engineer, I hear interesting product requests on a daily basis, and integrating LogicMonitor reports with LogicMonitor dashboards comes up frequently. LogicMonitor's reporting engine has many useful functions from capacity planning to SLA calculation, and dashboards help users visually digest the raw data of reports.

LogicMonitor CMDB Integration: Have it Your Way

We all want better results with less effort. Automation increases reliability and improves quality. These truths mean that every software company out there is trying to accomplish a similar end result for their customers. But let's face it - no single company is going to get there alone, it's too big a job for just one tool. Your best option is to use the best tools for their specific feature sets... but make sure they play well together, in order to get the results you want.

Context is Key: Additive vs. Subtractive Topology

Understanding the context of an IT incident can greatly reduce the MTTR and enhance the ability to determine the root cause. In an IT environment, ‘context’ is used to refer to the subset of information necessary to troubleshoot and diagnose an incident, or event. For some scenarios, the context may be the downstream dependencies after a high availability pair of firewalls goes offline, and in others, it may be the datastore in contention from multiple VMs.

Simplify Troubleshooting with AIOps

There is a lot of industry buzz around how AIOps will affect change within IT Operations (ITOps). According to Gartner, Inc., the term “AIOps” describes platforms that combine big data and machine learning to support ITOps. This means that the problems being solved aren’t novel, the approach is. In ITOps or any other business unit, there are two primary constraints: time and money.