Individual skill
qdrant-vertical-scaling
Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.
skills/qdrant-scaling/scaling-data-volume/vertical-scaling/SKILL.md
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# What to Do When Qdrant Needs to Scale Vertically
Vertical scaling means increasing CPU, RAM, or disk on existing nodes rather than adding more nodes. This is the recommended first step before considering horizontal scaling. Vertical scaling is simpler, avoids distributed system complexity, and is reversible.
- Vertical scaling for Qdrant Cloud is done through the [Qdrant Cloud Console](https://cloud.qdrant.io/)
- For self-hosted deployments, resize the underlying VM or container resources
## When to Scale Vertically
Use when: current node resources (RAM, CPU, disk) are insufficient, but the workload doesn't yet require distribution.
- RAM usage approaching 80% of available memory (OS page cache eviction starts, severe performance degradation)
- CPU saturation during query serving or indexing
- Disk space running low for on-disk vectors and payloads