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.
F.A.Q (20)
Eyer is an AI-powered observability and AIOps platform. It is designed to seamlessly integrate into existing technology stacks via APIs, providing automatic identification of abnormal behavior in real-time from time-series data. Also, Eyer generates actionable insights for either manual or automatic resolution of identified issues.
Eyer detects anomalies in data by utilizing proprietary time series algorithms along with dependency mapping based on its correlation engine. These automated anomaly detection capabilities enable it to identify abnormal behavior in real-time from time-series data.
Eyer utilizes AI for automated anomaly detection and observability, identifying abnormal behavior in real-time from time-series data. The AI capability also powers Eyer's correlation engine supporting dependency mapping.
Eyer integrates with APIs by being designed to seamlessly incorporate into existing technology stacks through APIs. It offers OpenAPIs through which a range of techniques for user-guided or automated response can be implemented. Moreover, standard OpenAPIs are used for data ingress and egress.
Eyer's headless, cloud-based architecture allows users to feed the platform with performance data from any system and present insights into third-party tools of their choice. Cloud-hosted Eyer facilitates flexible data ingestion, and its headless attribute supports seamless integration with other technologies.
Performance data can be fed into Eyer through OpenAPIs. Users can nourish the platform with performance data from any system. Additionally, data ingestion can be conducted using open source metrics agents like Influx Telegraf and Prometheus.
Eyer can be integrated with tools like Grafana, Boomi, or Power BI by exposing actionable insights into these third-party tools of the users' choice. It has built-in functionalities for integration with platforms including Boomi and BizTalk, and accommodates a wide variety of other technologies.
Influx Telegraf and Prometheus play vital roles in data integration with Eyer. They act as open source metrics agents and facilitate the feeding of performance data into Eyer from any system.
Eyer provides actionable insights by analyzing time-series data in real-time to identify abnormal behavior or anomalies. These insights can be utilized to manually or automatically resolve the identified issues and are accessible through OpenAPIs.
Eyer offers automation capabilities by providing automated anomaly detection and insights which can be utilized for automated resolution of identified issues. It gives users the option for an automated response through OpenAPIs based upon the insights generated.
Eyer helps to improve system uptime and availability through its automated anomaly detection capabilities. By identifying and resolving issues in real-time, system downtime is minimized and operational efficiency is increased.
Eyer conducts dependency mapping based on its correlation engine. This functionality underpins its anomaly detection capabilities, where key dependencies and relationships of entities are identified, assisting in root cause analysis and problem resolution.
OpenAPIs in Eyer allow a wide range of techniques for user-guided or automated response to the insights generated from data analysis. They facilitate data ingestion and exposure of actionable insights into third-party tools of user's choice.
Eyer offers third-party integrations with various platforms including Boomi and BizTalk, along with a wide variety of other technologies. Integration with other tools like Grafana, Boomi, or Power BI is also made possible through OpenAPIs.
Data egress in Eyer is supported through its OpenAPIs. Users are able to extract the analysis insights and utilize them in third-party tools of their choice, paving the way for further actions based on the insights generated.
Eyer is built to deliver its value quickly by leveraging flexible data ingestion, automated anomaly detection, and seamless integration with orchestration tools. This fast time-to-value attribute allows customers to realize benefits from automation of manual tasks and actionable insights that improve operational efficiency.
Eyer benefits IT operations by automating manual tasks, providing actionable insights, and improving efficiency. It aids in the maintenance of system uptime, real-time identification and resolution of issues, and enhances the overall operational efficiency.
Eyer processes time-series data by employing its AI capabilities to automatically identify abnormal behavior in real-time. It leverages proprietary time-series algorithms for this purpose, facilitating anomaly detection and issue resolution.
Eyer handles automatic and manual issue resolution by generating actionable insights through real-time analysis of time-series data. These insights can be utilized for either manual or automated responses, thereby resolving the identified issues effectively.
Eyer's anomaly detection capability is based on its AI-powered system that leverages proprietary time-series algorithms along with dependency mapping. With this capacity, it's able to pinpoint abnormal behaviors in real-time data flows.