# Get started

> Get up and running with StormForge

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LLMS index: [llms.txt](/llms.txt)

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StormForge collects Kubernetes observability metrics and uses machine learning to generate rightsizing recommendations for CPU and memory resource settings — helping teams reduce cloud spend and improve workload reliability without manual tuning.

## What you'll need

- A Kubernetes cluster (any distribution: EKS, AKS, GKE, minikube, kind, and others)
- A StormForge account — sign up for free at **[app.stormforge.io/signup](https://app.stormforge.io/signup)**
- `helm` installed locally

In enterprise environments, verify [firewall and proxy requirements](/docs/installation/install-adv/#prerequisites) before installing.

## In these docs

- **[Quickstart](/docs/get-started/quickstart/)** — get recommendations in under 10 minutes
- **[Installation](/docs/installation/)** — install StormForge on your clusters
- **[Configure](/docs/configure/)** — set optimization goals, schedules, and apply thresholds at cluster, namespace, or workload level
- **[Concepts](/docs/concepts/)** — recommendations, learning periods, the Applier, and how the ML works
- **[Guides](/docs/guides/)** — task-oriented guides for specific scenarios
- **[Reference](/docs/reference/)** — troubleshooting, best practices, and FAQ
- **[CLI](/docs/stormforge-cli/)** — manage workloads and recommendations from the command line, including an [MCP server](/docs/stormforge-cli/mcp-server/) for AI agents
- **[Releases](/docs/releases/)** — release history for the StormForge Agent and CLI, plus what's new in StormForge

Not ready to install? The [sandbox](/docs/guides/sandbox/) lets you explore a live environment with view-only access.

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Section pages:

- [Quickstart](/docs/get-started/quickstart/): Get recommendations in under 10 minutes