Your System Uptime: Now More Important Than Ever
The world, as we know it, is facing unprecedented challenges as a result of the COVID-19 outbreak. This situation is…
The Research Powering InsightFinder
InsightFinder's CEO describes the research she's pioneering with Machine Learning.
Avoid Catastrophic Service Failure through Early Detection of Human Errors
A major customer-facing service from a cloud monitoring company was down for three days.
Fast Root Cause Zone Identification through Cluster Outlier Detection
A global query service from a web search company experienced a major service outage.
Reduce Service Downtime through Causal Analysis between KPI and Application Metrics
Software reliability engineers (SREs) from a major search engine company were paged at midnight.
Root Cause Analysis
A major credit card company’s mobile payment service experienced severe performance degradation on a Friday afternoon.
Early Anomaly Detection
We worked closely with a large financial firm to create an environment that can display the strength of the InsightFinder Unified Intelligence Engine.
Unified Intelligence Engine (UIE): A Technical Deep Dive Paper
InsightFinder utilizes the industry’s best unsupervised multivariate machine learning algorithms to analyze a large amount of production system data.
Automate Anomaly Detection with Real-Time Streaming AI-Based Log, Infrastructure and Application Analytics
InsightFinder is the only modern AI and ML based system that works across the entire stack, all your metrics and logs, and fully automates the process of finding anomalies and their root causes.