Prometheus-based Kubernetes Resource Recommendations
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Updated
Jun 23, 2026 - Python
Prometheus-based Kubernetes Resource Recommendations
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.
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.
Prometheus metrics analyzer for CPU/RAM optimization and server rightsizing.
Turn Kubernetes resource right-sizing recommendations into auto-merged GitOps PRs — across raw manifests, Helm values, and operator CRs.
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.
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.
Production-style cloud cost governance lab using tagging policy, budget controls, cleanup recommendations, anomaly review, and FinOps-style evidence.
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.
Multi-signal rightsizing recommendations (CPU + memory at p99 with burst-headroom multiplier ≤ target utilization on proposed shape). Preserves master regions and high-criticality tiers; emits per-resource recommendations with estimated monthly savings.
Guardrailed Kubernetes cost & capacity optimizer — advisory by default, with tightly gated, reversible opt-in remediation (request rightsizing, PRs, node consolidation).
Generate Rightsizing Recommendation reportss, save 2 CSVs in S3 and send SNS notification to teams.
Multi-cloud FinOps optimization agent — cost anomaly detection, rightsizing recommendations, waste elimination
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