> ## Documentation Index
> Fetch the complete documentation index at: https://docs.e6data.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Create cluster

> Create and configure a cluster to run queries in a Serverless e6data workspace on Azure.

A **cluster** is the compute that runs your queries. After connecting a catalog, create a cluster to start querying.

## Create a cluster

1. In the Compute Plane, open **Clusters → Create Cluster**.
2. Enter a **Cluster Name** - start with a letter, end with a letter or digit; letters (upper or lower case), numbers, and hyphens, 3–30 characters (for example, `sales-analytics-01`). Case-sensitive.
3. Select a **Version** - the Cluster Runtime (CRT).
4. Select a **Cluster Size** - the compute size.

## Configuration

| Setting | What it does |
| - | - |
| Autoscaling | Adjusts size to the workload; set a **Maximum Executors** value |
| Window-based scaling | Smooths scaling over a **Window Duration** |
| QPS | Targets an expected queries-per-second load |
| Caching | Caches query results for faster repeats |

Advanced settings cover Auto Suspension, Auto Resume, Result Set Caching, the SQL Transpiler (Snowflake / Trino / Databricks), and Query Timeout. For deeper guidance, see [Cluster sizing and scaling](https://docs.e6data.com/query/clusters/sizing-and-scaling.md) and [Suspend and resume](https://docs.e6data.com/query/clusters/suspend-and-resume.md).

## See also

* [Run your first query](https://docs.e6data.com/platform/deploy/azure-serverless/run-first-query.md)
* [Create and manage clusters](https://docs.e6data.com/query/clusters/create-and-manage.md)


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