Eyer is an AI-powered observability and AIOps platform, designed to integrate seamlessly into existing technology stacks via APIs. The key function of Eyer is automatic identification of abnormal behavior in real-time from time-series data.

It generates actionable insights which can be utilized to manually or automatically resolve identified issues. These insights are accessible through OpenAPIs, allowing a wide range of techniques for user-guided or automated response.

Data integration with Eyer is facilitated through open source metrics agents like Influx Telegraf and Prometheus. Eyer's headless, cloud-based architecture enables users to nourish the platform with performance data from any system and present insights into third-party tools of their choice, like Grafana, Boomi, or Power BI.

Eyer has built-in functionalities for integration with various other platforms, including Boomi and BizTalk, and supports a wide variety of other technologies through standard OpenAPIs for data ingress and egress.

Feature highlights of Eyer include its automated anomaly detection capabilities, dependency mapping based on its correlation engine, and its commitment to increase system uptime and availability.

It is built to provide quick value through the automation of manual tasks, the provision of actionable insights, and improvements in IT operational efficiency and system availability.