
Eyer is an observability and AIOps platform, driven by AI, designed for effortless integration into existing tech stacks using APIs. Its primary function is the automated detection of unusual activity in time-series data, happening in real-time.
It produces actionable insights that can be used to fix identified problems, either by hand or automatically. These insights are available through OpenAPIs, enabling various methods for responses that are either user-directed or fully automated.
Data can be integrated into Eyer using open-source metrics agents such as Influx Telegraf and Prometheus. Eyer's cloud-based, headless structure allows users to supply the platform with performance data from any system and display insights in their preferred third-party tools, like Grafana, Boomi, or Power BI.
Eyer includes built-in features for connecting to various platforms, like Boomi and BizTalk, and it works with many other technologies using standard OpenAPIs for both sending and receiving data.
Key features of Eyer include automated anomaly detection, dependency mapping via its correlation engine, and a focus on improving system uptime and availability.
It aims to deliver rapid value by automating manual processes, offering insights that can be acted upon, and boosting IT operational efficiency and system availability.
Real-time detection of anomalies
Simple API integration
Good data integration
Limited integrations with third-party tools
No offline mode
Complex relationships with other tools

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