Prometheus-based Kubernetes Resource Recommendations
-
Updated
Oct 12, 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.
🔄 Kubernetes automation tool for safe workload right‑sizing.
A Kubernetes resource recommender that extends the API server to provide native suggestions.
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.
💰 Cut K8s idle infrastructure costs. Safely shrink memory request during low-traffic windows with no cold-start penalties. ☸️
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 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.
Turn Kubernetes resource right-sizing recommendations into auto-merged GitOps PRs — across raw manifests, Helm values, and operator CRs.
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.
Kubernetes cost allocation, logs, continuous profiling and eBPF network cost in one install. OpenCost- and Loki-compatible APIs, rightsizing that applies through guarded CRDs, and read-only agents with an MCP server.
Multi-cloud cost optimization and anomaly detection (FOCUS 1.0) for AWS, GCP & Azure — spend aggregation, forecasting, rightsizing, Prometheus/Grafana monitoring, and KEDA autoscaling.
OptiOra: OCI-hosted multi-cloud FinOps control plane for live cost telemetry, deterministic optimization, rightsizing, inventory, and OCI GenAI/RAG advisory.
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.
Prometheus metrics analyzer for CPU/RAM optimization and server rightsizing.
Dashboard to assess overcommitted Kubernetes clusters
Enterprise Kubernetes Rightsizing & Resource Optimization Guide: Linux CFS mechanics, JVM/Go/Node/Python runtimes, Prometheus metrics, VPA/KRR, GitOps fleet policies, and AI-assisted automation. Companion to LearnKube and Nubenetes.
Spend anomaly detection and rightsizing recommendations, designed around knowing when to stay quiet.
To associate your repository with the rightsizing topic, visit your repo's landing page and select "manage topics."