> 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/deployment/azure-serverless/create-cluster.md).

# 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](/query-engine/guides/clusters/cluster-sizing-and-scaling.md) and [Suspend and resume](/query-engine/guides/clusters/suspend-and-resume.md).

## See also

* [Run your first query](/query-engine/guides/deployment/azure-serverless/run-first-query.md)
* [Create and manage clusters](/query-engine/guides/clusters/create-and-manage-clusters.md)


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