
Real-Time Command Center for Pipelines & Costs.


Enterprise users discover pipeline failures before data teams do, while cloud costs remain a black box and continue to spiral. Teams struggle to correlate data costs with business value and face alert fatigue from noisy, context-free notifications.


Job-level visibility with near-complete observability and linked alerts.

Attribute costs by pipeline, team, and business unit.

Allocate cloud costs based on actual usage.

Predict spend and flag budget overruns early.

Context-aware, impact-driven alerts with less noise.

Detect costly queries and optimize performance.




The Challenge
An engineering team’s Databricks cloud bill increases by 200% within three months without any change in code or pipelines, but there is no visibility into which pipelines, teams, or workloads are responsible. Leadership and finance teams demand clear accountability and cost transparency.

Solution:
Eagle Eye’s ObserveIQ module provides end-to-end cloud cost observability, attributing compute and infrastructure costs to specific pipelines, teams, business units, and workloads.
The platform identifies inefficient queries, underutilized clusters, and resource-heavy pipelines, while spend forecasting and cost trend analysis help prevent future overruns.

Organizations achieve up to 40% cost reduction through optimization insights, while finance teams receive automated chargeback reports that clearly allocate cloud spending across business units.