# FairwindsOps/goldilocks

Get your resource requests "Just Right"

Repository: https://github.com/FairwindsOps/goldilocks
Canonical: https://ross.abutalabs.com/products/goldilocks
Homepage: https://fairwinds.com
Language: Go
License: Apache-2.0
License Family: permissive
Topics: kubernetes, verticalpodautoscaler, resources, reporting, fairwinds-official
Last push: 2026-08-26T14:35:24+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 2687, "days_push": 7, "days_rel": 19, "gap_med": 32.5, "n_releases_24m": 21}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3320, forks 176 (observed 2026-08-28T04:07:56.246378+00:00)

## What it is
Goldilocks is a Kubernetes utility that helps identify a starting point for resource requests and limits by creating a Vertical Pod Autoscaler (VPA) in recommendation mode for each workload in a namespace. It then presents the VPA recommendations in a dashboard so teams can right-size their deployments' CPU and memory settings.

## Use cases
- right-size kubernetes pod resource requests and limits
- get vpa recommendations for my deployments
- reduce kubernetes cluster costs by avoiding over-provisioning
- dashboard to view cpu and memory recommendations per namespace
- find starting point for container resource settings
- compare memory and cpu settings against actual usage

## When to choose
- you run workloads on Kubernetes and want data-driven resource request/limit suggestions
- you already have or can install the Kubernetes Vertical Pod Autoscaler in recommendation mode
- you want a simple visual dashboard for rightsizing across namespaces

## When to avoid
- you are not running Kubernetes
- you need automated enforcement of resource settings rather than recommendations
- you cannot deploy the VPA controller in your cluster

## Facets
- artifact type: application
- maturity: active
- function: monitoring, analytics, developer-tools, deployment
- domain: cloud-computing, infrastructure-as-code, performance
- platform: self-hosted, go
- tags: kubernetes, vertical-pod-autoscaler, resource-rightsizing, cost-optimization, dashboard, fairwinds, devops, containers, docker

## Member repositories
- FairwindsOps/goldilocks (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:56.246378+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:41:50.423105+00:00, confidence not recorded.
  - readme: https://github.com/FairwindsOps/goldilocks (fetched 2026-08-28T04:07:56.246378+00:00, sha 83e17e0dd610)
  - homepage: https://fairwinds.com (fetched 2026-08-29T09:34:54.830046+00:00, sha 92e848fcc5ec)
  - site_page: https://www.fairwinds.com/insights-features (fetched 2026-08-29T09:34:54.839492+00:00, sha b96d47f953f8)
  - site_page: https://insights.docs.fairwinds.com/ (fetched 2026-08-29T09:34:54.841749+00:00, sha 0563b916b4ac)
  - site_page: https://www.fairwinds.com/gke-quickstart (fetched 2026-08-29T09:34:54.843439+00:00, sha 01174bc9b9d6)
  - site_page: https://www.fairwinds.com/aks-quickstart (fetched 2026-08-29T09:34:54.845200+00:00, sha 3929a4106941)
- Data as of 2026-08-30T08:39:29.467469+00:00.