Prometheus-based Kubernetes Resource Recommendations
-
Updated
Apr 30, 2026 - Python
#
rightsizing
Here are 15 public repositories matching this topic...
A Kubernetes resource recommender that extends the API server to provide native suggestions.
kubernetes devops capacity-planning prometheus k8s autoscaling finops resource-optimization oom-killer kubernetes-tools cost-reduction rightsizing kubelet-metrics
-
Updated
Dec 12, 2025 - Go
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.
-
Updated
May 4, 2026 - Go
AI-driven cloud cost optimization platform analyzing usage and spend across major cloud providers, including AWS, Azure, and GCP.
-
Updated
May 14, 2026
🔄 Kubernetes automation tool for safe workload right‑sizing.
-
Updated
May 13, 2026 - Go
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.
kubernetes sre kubernetes-operator cost-optimization finops platform-engineering resource-optimization right-sizing rightsizing kubernetes-cost
-
Updated
Mar 2, 2026 - Go
Prometheus metrics analyzer for CPU/RAM optimization and server rightsizing.
-
Updated
Feb 25, 2026 - Python
Dashboard to assess overcommitted Kubernetes clusters
kubernetes infrastructure devops cloud monitoring containers grafana prometheus k8s cloud-native sre grafana-dashboard observability resource-management cost-optimization overcommit finops cluster-management resource-limits rightsizing
-
Updated
May 14, 2026
Lightweight Kubernetes FinOps CLI — analyze resource usage, detect waste, and get rightsizing recommendations without installing anything in your cluster.
python kubernetes cli devops cloud-native resource-management cost-optimization finops platform-engineering kubernetes-tools waste-detection rightsizing
-
Updated
Mar 7, 2026
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.
go kubernetes gpu nvidia cloud-native kubectl resource-management cost-optimization finops amd-gpu mlops kubectl-plugin rightsizing ai-infrastructure dcgm
-
Updated
Apr 23, 2026 - Go
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.
-
Updated
Mar 13, 2026
CloudChipr is a cloud cost-management and FinOps platform that consolidates AWS, Azure, and GCP spend in a single console and automates resource cleanup, rightsizing, and cost governance. The product surface centres on dashboards, automated workflows, budget alerts, and integrations with email, Slack, Microsoft Teams, Jira, and webhooks.
aws azure gcp multi-cloud cost-optimization finops apis-json rightsizing cloud-cost-management resource-cleanup naftiko
-
Updated
May 9, 2026
StormForge provides machine learning-based Kubernetes resource optimization (rightsizing) for reducing cloud infrastructure costs while maintaining application performance.
kubernetes devops machine-learning resource-management finops apis-json rightsizing cloud-cost-optimization naftiko
-
Updated
May 11, 2026
Multi-cloud FinOps optimization agent — cost anomaly detection, rightsizing recommendations, waste elimination
python open-source aws devops azure optimization gcp multi-cloud ai-agents cost-optimization finops cloud-cost cloud-costs rightsizing
-
Updated
Apr 11, 2026 - Python
Generate Rightsizing Recommendation reportss, save 2 CSVs in S3 and send SNS notification to teams.
-
Updated
Jan 3, 2026
Improve this page
Add a description, image, and links to the rightsizing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rightsizing topic, visit your repo's landing page and select "manage topics."