Over the last several months, we’ve expanded Fairwinds Insights to give platform and operations teams deeper visibility into both policy posture and infrastructure metrics and costs. Our releases focused on enhancing the Kyverno integration and introducing GPU‑aware metrics and cost data to support better scheduling and rightsizing decisions.

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Fairwinds Insights has received several updates focused on Kyverno policy integration and GPU metrics. The Kyverno integration now supports multiple policy types (ClusterPolicy, Policy, and newer types), ingests unmanaged policies alongside Insights-managed ones, and improves admission data handling. GPU metrics are now a first-class signal in the platform, with GPU columns in metrics tables, back-end ingestion, and cost data incorporating GPU usage (currently in Alpha). Cost analytics enhancements include a new pod count/CPU/memory history graph, configurable saved views, and new difference columns for CPU/memory request vs. limit to identify over-provisioned workloads. A full list of bug fixes and smaller improvements is also included.

Fairwinds Insights Release Notes: Kyverno Integration & GPU Metrics

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