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'.
Profile →npx skills add github/awesome-copilot --skill qdrant-scaling --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Qdrant 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. Read more about scaling for data volume in [Scaling Data Volume](scaling-data-volume/SKILL.md) ## Scaling for Query Throughput If your system needs to handle more parallel queries than a single node can handle, then you need to scale for query throughput. Read more about scaling for query throughput in [Scaling for Query Throughput](scaling-qps/SKILL.md) ## Scaling for Query Latency Latency of a single query is determined by the slowest component in the query execution path. It is in sometimes correlated with throughput, but not always. It might require different strategies for scaling. Read more about scaling for query latency in [Scaling for Query Latency](minimize-latency/SKILL.md) ## Scaling for Query Volume By query volume we understand
- Scaling Data Volume
- Scaling for Query Throughput
- Scaling for Query Latency
- Scaling for Query Volume
What does the qdrant-scaling skill do?
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'.
How do I install it?
Run `npx skills add github/awesome-copilot --skill qdrant-scaling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.