
Worked on the castai/kvisor repository to deliver advanced storage metrics collection for Kubernetes clusters, focusing on both node-level and pod volume observability. Leveraged Go and native Linux APIs to refactor metrics gathering, replacing external dependencies with direct system calls for improved accuracy and performance. Implemented a gRPC-based pipeline for node storage metrics and extended support to PVC-backed pod volumes, integrating Kubernetes context and RBAC controls. Enhanced monitoring reliability by ensuring metrics collection remains functional when eBPF and NetFlow are disabled, and added comprehensive end-to-end tests. The work emphasized backend development, system programming, and infrastructure as code practices.
January 2026: Focused on expanding observability capabilities in castai/kvisor, delivering storage metrics collection when eBPF/NetFlow are disabled and introducing PVC-backed pod volume metrics with RBAC, contextualized filesystem metrics, and robust E2E tests. These changes improve monitoring reliability, security posture, and operational visibility for clusters running diverse workloads.
January 2026: Focused on expanding observability capabilities in castai/kvisor, delivering storage metrics collection when eBPF/NetFlow are disabled and introducing PVC-backed pod volume metrics with RBAC, contextualized filesystem metrics, and robust E2E tests. These changes improve monitoring reliability, security posture, and operational visibility for clusters running diverse workloads.
November 2025: Delivered end-to-end node storage metrics collection for Kubernetes nodes via gRPC and a Linux-native metrics refactor for Kvisor, boosting observability, accuracy, and performance. Key work includes adding a node storage metrics flow, proxy/kubelet stats gathering, and a major native-API refactor with richer device/filesystem metrics and metadata.
November 2025: Delivered end-to-end node storage metrics collection for Kubernetes nodes via gRPC and a Linux-native metrics refactor for Kvisor, boosting observability, accuracy, and performance. Key work includes adding a node storage metrics flow, proxy/kubelet stats gathering, and a major native-API refactor with richer device/filesystem metrics and metadata.

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