LogicMonitor extends observability platform to track AI stack

“We use both predictive AI and genAI. The predictive AI just gets the job done. It uses machine learning models, and the difference is that it is unsupervised. Customers like it because it doesn’t require the ‘care and feeding’ and training. You don’t need a data science background to use it,” says Karthik SJ, general manager of AI at LogicMonitor.

LogicMonitor delivers its Envision platform as a SaaS product, with collectors that customers install in their environments. The collectors send probing requests to discover and classify the various infrastructure and applications in the customer’s environment using protocols such as SNMP and WMI to identify the components and their types (server, storage, network, databases and so on). For cloud environments the customer can use a LogicMonitor collector, but they don’t necessarily have to because LogicMonitor will use cloud platform APIs to discover and monitor the customer’s cloud resources. Data collected by the collectors or APIs flow into the Envision platform, which provides monitoring capabilities as well as dashboarding, alerting and reporting.

Early adopters of the updated LogicMonitor features report the enhancements will help them monitor IT infrastructure and improve performance.

“LogicMonitor’s AI features demonstrate a commitment to providing users with a one-stop platform for predictive analytics that will add continued value in our future state IT infrastructure environments,” said Sean Blosser, director of IT at Markel, in a statement. “We believe this AI-enhanced tool will provide extremely valuable insights and efficiencies for our operations and will help us elevate our IT performance.”

LogicMonitor’s expanded AI monitoring capabilities, including GPU, LLM, and AI application monitoring, will be made generally available in the near future, with a target release in April.