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These recommendations do not apply to indices using better binary quantization (BBQ). Refer to [vector quantization](elasticsearch://reference/elasticsearch/mapping-reference/dense-vector.md#dense-vector-quantization) for more information.

### Index and resource limits [index-and-resource-limits]

{{serverless-full}} applies certain project-level limits to ensure reliable performance and stability.

| Limit | Value | Adjustable |
| :--- | :--- | :--- |
| Number of indices per project | 15,000 | Yes |

Some index limits are adjustable and can be increased by request, while others are fixed. To request a limit increase, open a support case and include the limit you want to increase, your preferred new value, and a brief description of your use case. Providing meaningful details around your use case and desired outcome ensures that Elastic can make recommendations that best suit your workload.
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## Available {{es}} APIs [elasticsearch-differences-serverless-apis-availability]

In {{serverless-full}}, access is limited to a subset of {{es}} APIs, as Elastic manages the underlying infrastructure. These restrictions help maintain cluster stability, availability, and data integrity, ensuring reliable operation of Serverless projects.
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**Management free:** Elastic manages the underlying Elastic cluster, so you can focus on your data. With serverless projects, Elastic is responsible for automatic upgrades, data backups, and business continuity.

**Autoscaled:** To meet your performance requirements, the system automatically adjusts to your workloads. For example, when you have a short time spike on the data you ingest, more resources are allocated for that period of time. When the spike is over, the system uses less resources, without any action on your end.
**Autoscaled:** To meet your performance requirements, the system automatically adjusts to your workloads. For example, when you have a short time spike on the data you ingest, more resources are allocated for that period of time. When the spike is over, the system uses less resources, without any action on your end. Some [project-level limits](/deploy-manage/deploy/elastic-cloud/differences-from-other-elasticsearch-offerings.md#index-and-resource-limits) apply to ensure performance and stability. Certain limits are adjustable by request.

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@yetanothertw , at the moment, in event of a customer exceeding this limit, they will receive a 400 bad request error for their REST calls. The exception will contain a link to this

/deploy-manage/deploy/elastic-cloud/differences-from-other-elasticsearch-offerings.md#index-and-resource-limits

This link is coded in https://github.com/elastic/elasticsearch/blob/main/server/src/main/resources/org/elasticsearch/common/reference-docs-links.txt#L41.

I will follow up with code change to point to this new URL.

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Many thanks!
I think this page is a good place to land on for learn more information about Serverless in case the user needs it.

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@zhubotang-wq, should we wait until the code change is complete before we merge the docs? Or is it okay to merge now?

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@yetanothertw let's please wait - we're still finalizing a decision on the actual number of indices to apply as the limit.

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No worries, @pete-naylor. Please let me know when you're ready 👍


**Optimized data storage:** Your data is stored in cost-efficient, general storage. A cache layer is available on top of the general storage for recent and frequently queried data that provides faster search speed. The size of the cache layer and the volume of data it holds depend on [settings](../../../deploy-manage/deploy/elastic-cloud/project-settings.md) that you can configure for each project.

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