Multi-Cloud Kubernetes Cost Allocation & Carbon Footprint Telemetry
Granular pod-level CPU/GPU resource accounting mapping cloud infrastructure spend and estimated greenhouse emissions by microservice.
Project Overview
Scrapes cgroups container metrics from Kubernetes clusters, correlates resource usage against AWS/Azure spot and on-demand pricing models, and calculates real-time estimated carbon grams emitted based on datacenter regional power grid emission coefficients.
Scrapes cgroups container metrics from Kubernetes clusters, correlates resource usage against AWS/Azure spot and on-demand pricing models, and calculates real-time estimated carbon grams emitted based on datacenter regional power grid emission coefficients.
Granular pod-level CPU/GPU resource accounting mapping cloud infrastructure spend and estimated greenhouse emissions by microservice.
Core Project Objectives
Capture continuous analog/digital sensor readings with robust noise filtering and hardware calibration.