Pro-active Observability at Scale with Eyer
Eyer's AI-powered observability & AIOps helps you monitor more data, reduce manual efforts, and gain actionable insights to prevent issues before they impact your customers.
Key Challenges in Modern IT Ops
Limited Monitoring
Companies only monitor a fraction of the data they should.
Manual Processes
Monitoring is highly manual and time consuming.
High Costs
Monitoring tools and setup are expensive.
Siloed Insights
Teams and tools are siloed, leading to limited insight.
Reactive Approach to Problem Solving
Teams are reactive, waiting for customers to report issues.
Issues are addressed late in the release cycle, delaying fixes.
Limited focus on improving engineering efficiency.
Eyer: Early Warnings and Actionable Insights
Prevent Failures
Eyer provides early warnings and actionable insights to prevent system failures.
10 Years of Development
Eyer's unique technology is built on 10 years of development and innovation.
Autonomous Pipeline
Eyer's AI-powered observability pipeline scales monitoring to all your data without manual labor.
Eyer's AI-Powered Observability
Eyer's AI-Powered Observability
1
Anomaly Detection
Proactively identifies issues across all infrastructure, applications, services, and APIs with consolidated insight.
2
Relationship Mapping
Understand service dependencies to pinpoint root causes faster.
3
Scalable Monitoring
Monitor vast amounts of data with ease.
4
Actionable Insights
Integrate with existing tools and automate actions and response.
5
Automated Platform
No complex setup or maintenance required.
Tangible Benefits of Eyer AIOps
Reduced incident resolution time.
Increased customer satisfaction.
Improved engineering productivity.
Accelerated release cycles.
Comprehensive Visibility and Control
Gain a comprehensive understanding of your system's health. Eyer provides all the information you need to make informed decisions.
Eyer: Your AI-Powered Observer
Eyer is your AI-powered observer, proactively detecting issues and providing actionable insights to prevent system failures.
Made with