In today's complex IT environments, achieving comprehensive observability is paramount. Eyer empowers organizations to monitor and act upon any time series metric—be it from IT systems, operational technology (OT), Internet of Things (IoT) devices, or business KPIs—ensuring real-time insights and proactive operations.
Eyer ingests time series data from diverse sources, including IT infrastructure, OT systems, IoT devices, and business applications, providing a holistic view of your operations.
As a headless platform, Eyer integrates effortlessly with your existing tools and workflows enhancing your current ecosystem without disruption.
By leveraging AI, Eyer reduces alert noise by up to 80%, ensuring that your teams focus only on actionable insights that matter.
With transparent and affordable pricing, open APIs and support for agents like Telegraf and Prometheus, Eyer can be set up and start delivering ROI within hours, not weeks.
Eyer's flexibility allows it to adapt to your organization's unique processes:
Eyer's AI models analyze incoming data in real-time, identifying deviations and potential issues before they escalate.
Surface insights directly into your preferred platforms, whether it's dashboards in Grafana, alerts in Slack, or reports in Power BI.
Trigger workflows in orchestration tools to address issues promptly, reducing mean time to resolution (MTTR).
Eyer's universal metric support provides holistic monitoring for all relevant performance KPIs for retail use case.
Collect and analyze performance metrics from various IT, OT, IoT and business KPIs for the retail process to ensure optimal operation.
Proactive Alerts: Receive AI-driven alerts for anomalies, allowing for swift intervention
Streamlined Workflows: Automate responses to common issues, minimizing downtime and manual intervention.
"The ability to easily understand the rippling effect from a disk operation issue on a local database to how it impacts our customers experience in our retail stores is transformational"
"Eyer's intelligent monitoring and lego approach to AIOps is fundamentally changing our approach to what is feasible. Having a human-like conversation with an AI LLM powered chatbot making sense of performance issues is ground breaking"
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