Safety-first guardrails for AI-driven cloud and Kubernetes operations
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Updated
Jun 29, 2026 - Python
Safety-first guardrails for AI-driven cloud and Kubernetes operations
System of Record for Kubernetes cost accounting: per-namespace CPU, memory and GPU usage, with the 30% non-allocatable overhead made visible. Connects to AI assistants via MCP (Claude, Gemini, Mistral, Cursor) for plain-language analysis. Formerly Kube-Opex-Analytics.
Control carbon emission of your cloud infrastructure - Carbon-aware cloud infra
📡 Get Boavizta impact data for your AWS usage.
GreenKube: CO2 monitoring and FinGreenOps tool for K8s
Liste de liens sur le numérique responsable.
SPRUCE is an open-source enrichment platform for GreenOps which helps quantify and reduce the environmental impact of cloud computing.
Lightweight, polyglot performance anti-pattern detection with built-in carbon-aware scoring.
Enrichment pipeline for CUR / FOCUS reports which adds energy and carbon data allowing to report and reduce the impact of the your cloud usage.
Open-source carbon footprint linting for your CI/CD pipeline
A guide to practical FinOps covering cost visibility, tagging strategies, and optimization for compute/storage/AI workloads.
Estimate the environmental impact of GitHub Actions for your entire organization.
A Helm Chart to measure the sorts of energy generation and show the carbon footprint in a Grafana Chart
Terraform module to deploy CodeCarbon as a DaemonSet on Kubernetes to monitor carbon emissions across all nodes.
Terraform module to deploy KubeGreen (automated resource cleanup and pod hibernation) on Kubernetes using Helm.
Terraform module to deploy Kepler (Kubernetes Environmental Power Profiling Operator) on Kubernetes using Helm.
Terraform module to deploy Kubernetes Carbon Intensity Exporter on Kubernetes using Helm.
Terraform module to deploy Scaphandre (container-level power consumption monitoring) on Kubernetes using Helm.
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