Individual skill
qdrant-scaling-data-volume
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.
skills/qdrant-scaling/scaling-data-volume/SKILL.md
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# Scaling Data Volume
This document covers data volume scaling scenarios,
where the total size of the dataset exceeds the capacity of a single node.
## Tenant Scaling
If the use case is multi-tenant, meaning that each user only has access to a subset of the data,
and we never need to query across all the data, then we can use multi-tenancy patterns to scale.
The recommended way is to use multi-tenant workloads with payload partitioning, per-tenant indexes, and tiered multitenancy.
Learn more [Tenant Scaling](tenant-scaling/SKILL.md)
