Eyer for Web

Product snapshot — Eyer observability

Eyer is a subscription-based observability solution that uses AI to monitor time-series telemetry and flag unusual system behavior as it happens. It plugs into existing stacks, turning metric streams into prioritized, actionable findings so teams can address incidents faster. Insights are exposed via OpenAPIs so responses can be carried out by people or driven automatically.

Primary strengths

• Maps service and resource dependencies to reveal how components influence one another.
• Detects anomalies automatically in real time and surfaces meaningful context for troubleshooting.
• Focuses on increasing overall uptime and reducing mean time to resolution through continuous monitoring.

Data sources and API access

• Can ingest telemetry via Prometheus-compatible pipelines as well as other metric collectors.
• Accepts input from Telegraf (InfluxData) and similar open-source agents for broad compatibility.
• Provides programmatic access and integration points through standard OpenAPI endpoints for both manual and automated workflows.

Architecture and visualization options

• Delivered as a headless, cloud-native platform so it can run without a dedicated UI layer.
• Lets teams visualize processed insights in third-party dashboarding tools such as Power BI, Boomi, and Grafana.
• Designed to be embedded into existing operational toolchains to minimize disruption.

Typical benefits for teams

Eyer streamlines routine operational tasks, reduces manual toil, and improves incident response by converting noisy metric streams into prioritized actions. This makes it useful for organizations seeking better reliability and more efficient IT operations across complex technology stacks.

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