rightsizing

Prometheus-based Kubernetes Resource Recommendations

kubectl plugin that right-sizes Kubernetes workloads from CPU pressure (PSI), not just usage. Read-only, uses the Prometheus you already have, explains every number.

🔄 Kubernetes automation tool for safe workload right‑sizing.

⚡ Shrink on schedule. Boost on demand. JVM-aware in-place memory right-sizing for Kubernetes — zero restarts, zero OOMKills.

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.

Open-source Kubernetes FinOps operator: cost per namespace, team, GPU and LLM token, schedules that scale idle environments and cloud databases to zero, budgets, chargeback and right-sizing with a rollback guard. Helm chart, dashboard, REST API, MCP server.

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.

Prometheus metrics analyzer for CPU/RAM optimization and server rightsizing.

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.

Open-source Kubernetes rightsizing: recommends CPU and memory requests and limits from real usage, prices the savings per node type, applies changes with guardrails and automatic rollback.

OptiOra: OCI-hosted multi-cloud FinOps control plane for live cost telemetry, deterministic optimization, rightsizing, inventory, and OCI GenAI/RAG advisory.

🚀 Kubernetes Pods Metrics — sample to SQLite; analyze-local + recommend, capacity/TUI; optional notify/MCP/server charts