qdrant-scaling
SkillGuides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
Install
git clone https://github.com/qdrant/skills.git ~/.claude/skills/qdrant-scalingWhat is qdrant-scaling?
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Read files only
Read-only tools
~62 tokens of context used while enabled, before you invoke anything
All declared tools (3)
GlobGrepReadDocumentation
README · ~1 min readQdrant Scaling
First determine what you're scaling for:
- data volume
- query throughput (QPS)
- query latency
- query volume
After determining the scaling goal, we can choose scaling strategy based on tradeoffs and assumptions. Each pulls toward different strategies. Scaling for throughput and latency are opposite tuning directions.
Scaling Data Volume
This becomes relevant when volume of the dataset exceeds the capacity of a single node.
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