> For the complete documentation index, see [llms.txt](https://docs.e6data.com/query-engine/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.e6data.com/query-engine/guides/clusters.md).

# Clusters

- [Create and manage clusters](https://docs.e6data.com/query-engine/guides/clusters/create-and-manage-clusters.md): Create a cluster, configure its settings, connect to it, and manage its version and lifecycle.
- [Cluster sizing and scaling](https://docs.e6data.com/query-engine/guides/clusters/cluster-sizing-and-scaling.md): Choose a cluster sizing and scaling mode - fixed, autoscaling, QPS-based, or scale-to-zero - plus execution modes and result caching.
- [Suspend and resume](https://docs.e6data.com/query-engine/guides/clusters/suspend-and-resume.md): How clusters suspend to save cost and resume automatically when a query arrives - auto-suspend, manual suspend, auto-resume, and what's preserved.
- [Lifecycle states and error codes](https://docs.e6data.com/query-engine/guides/clusters/lifecycle-states-and-error-codes.md): The cluster lifecycle states and the customer-facing error codes, with what each means and what to do.
- [Zero-downtime upgrades](https://docs.e6data.com/query-engine/guides/clusters/zero-downtime-upgrades.md): How e6data upgrades a cluster's version without interrupting queries, and how it recovers if the new version is unhealthy.
- [CloudPrem cluster operations](https://docs.e6data.com/query-engine/guides/clusters/cloudprem-cluster-operations.md): Manage e6data clusters in an In-VPC deployment with Kubernetes CRDs, kubectl, and GitOps - create, configure, scale, suspend, upgrade, and inspect.
- [Troubleshooting clusters](https://docs.e6data.com/query-engine/guides/clusters/troubleshooting-clusters.md): Common cluster problems - stuck states, timeouts, degraded executors, and connection issues - with fixes.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.e6data.com/query-engine/guides/clusters.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.