Perspica added a new root cause analysis feature to its software-as-a-service (SaaS) visibility platform. The company says its root cause analysis detects issues within layers of the application stack and recommends potential fixes.
Powered by machine learning, Perspica’s root cause analysis feature is able to understand what is supposed to be happening in an application’s performance, based on times of the day and days of the week, says JF Huard founder and CTO of Perspica. It is then able to analyze these metrics, detect anomalies, and determine the root cause.
“Not only are we eliminating false positives, but we are also able to catch relevant problems by comparing an application’s topology from day-to-day,” Huard says. Once the root cause is identified, it will give insight on how to fix the problem specific to each application.
While other similar products are able to gather real-time analytics, Huard claims that they aren’t able to compare these metrics from the previous day, week, or month. Perspica’s SaaS platform allows users to use previous information to figure out the problems, rather than receiving multiple alerts, which may or may not be a real threat.
Perspica works with a number of application performance monitoring (APM) companies such as New Relic and Dynatrace. It uses the data that these APM companies gather and automates the alarm correlation to determine what isn’t functioning normally in an application’s performance.
Perspica works with a range of customers like advertising companies, government agencies, and small businesses that are native to public clouds like Amazon Web Services (AWS).
The company was founded a little more than two years ago, and released its first SaaS platform in April.