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 m...
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 beha
About Eyer
Eyer Key Features
- Eye shape analysis
- Eye tracking development
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Pros and Cons of Eyer
Pros
- Real-time anomaly detection
- Easy API integration
- Data integration friendly
- Effective with time-series data
- Generates actionable insights
- Supports automated response
- Supports user-guided response
- Compatible with open source agents
- Cloud-based architecture
- Supports third-party tools
- Prebuilt integrations (Boomi, BizTalk)
- OpenAPI for data ingress/egress
- Dependency mapping
- Promises increased system uptime
- Quick value provision
Cons
- Limited third-party integrations
- No offline functionality
- Complex dependencies with other tools
- Limited listed integrations announcements
- Uncertain development roadmap
- Dependence on specific OpenAPIs
- Pricing not transparent
- Test accounts limited availability
- Subscription management trouble
- Unknown past system uptime
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Pricing Model
Freemium
Pricing model: Freemium | Paid options from: $199/month | Billing frequency: Monthly
Frequently Asked Questions About Eyer
What is Eyer?
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.
How does Eyer detect anomalies in data?
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.
How does Eyer utilize AI?
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.
How does Eyer integrate with APIs?
What is the significance of Eyer's headless, cloud-based architecture?
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.
How can I feed performance data into Eyer?
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.
How can I integrate Eyer with tools like Grafana, Boomi, or Power BI?
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.
What is the role of Influx Telegraf and Prometheus in Eyer?
How does Eyer provide actionable insights?
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.
What kind of automation capabilities does Eyer offer?
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.
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