Prometheus-based Kubernetes Resource Recommendations
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Updated
Jul 19, 2026 - Python
Prometheus-based Kubernetes Resource Recommendations
Keep your Kubernetes clusters in kilter — self-hosted cost optimization: usage learning, rightsizing, safe bin-packing consolidation. Open-source CAST AI alternative.
VPA Autopilot is a Go controller that creates a VPA for the CPU request by default for each deployment in the cluster in order to have the correct resources for pods at all times.
A Kubernetes resource recommender that extends the API server to provide native suggestions.
Get right sizing for your kubernetes workload
AI-driven cloud cost optimization platform analyzing usage and spend across major cloud providers, including AWS, Azure, and GCP.
🔄 Kubernetes automation tool for safe workload right‑sizing.
Kubernetes controller for GKE that uses the in-place pod resize subresource (GA in K8s 1.35) to right-size pod requests when pods land on machine families different from the one the workload was calibrated for. No restarts, no CRDs — a single ConfigMap drives the per-family performance-unit matrix.
OptiPod is an open-source, Kubernetes-native operator that automatically rightsizes CPU and memory requests and limits for your workloads based on real-time and historical usage patterns.
Multi-cloud VM rightsizing tool for AWS, Azure, and GCP. Upload a CSV, get right-sized instance recommendations with compliance and workload rules. Runs entirely in your browser.
OptiOra: OCI-hosted multi-cloud FinOps control plane for live cost telemetry, deterministic optimization, rightsizing, inventory, and OCI GenAI/RAG advisory.
Turn Kubernetes resource right-sizing recommendations into auto-merged GitOps PRs — across raw manifests, Helm values, and operator CRs.
Prometheus metrics analyzer for CPU/RAM optimization and server rightsizing.
Dashboard to assess overcommitted Kubernetes clusters
Lightweight Kubernetes FinOps CLI — analyze resource usage, detect waste, and get rightsizing recommendations without installing anything in your cluster.
kubectl plugin that compares requested GPU resources against DCGM Exporter utilization metrics and generates rightsizing recommendations with projected monthly cost savings. Supports nvidia.com/gpu and amd.com/gpu — the gap VPA leaves open.
Production-style cloud cost governance lab using tagging policy, budget controls, cleanup recommendations, anomaly review, and FinOps-style evidence.
60+ production-grade SQL queries for multi-cloud FinOps (AWS CUR, Azure Cost Export, GCP Billing, Kubernetes, RI coverage, rightsizing). Built with DuckDB from real billing & usage CSVs. Structured learning journey.
AWS cost-optimization advisor CLI: finds idle EC2/RDS, unattached EBS, stale snapshots, unused EIPs, and missing S3 lifecycle policies, ranked by estimated monthly savings.
Generates right-sizing recommendations from Kubernetes metrics-server data, outputting a human-readable report or patch YAML ready to commit.
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