qdrant-scaling-qps
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.
Profile →npx skills add github/awesome-copilot --skill scaling-qps --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.
# Scaling for Query Throughput (QPS) Throughput scaling means handling more parallel queries per second. This is different from latency - throughput and latency are opposite tuning directions and cannot be optimized simultaneously on the same node. High throughput favors fewer, larger segments so each query touches less overhead. ## Performance Tuning for Higher RPS - Use fewer, larger segments (`default_segment_number: 2`) [Maximizing throughput](https://search.qdrant.tech/md/documentation/operations/optimize/?s=maximizing-throughput) - Enable quantization with `always_ram=true` to reduce disk IO [Quantization](https://search.qdrant.tech/md/documentation/manage-data/quantization/) - Use batch search API to amortize overhead [Batch search](https://search.qdrant.tech/md/documentation/search/search/?s=batch-search-api) ## Minimize impact of Update Workloads - Configure update throughput control (v1.17+) to prevent unoptimized searches degrading reads [Low latency search](https://search.qdrant.tech/md/documentation/search/low-latency-search/) - Set `optimizer_cpu_budget` to limit indexing CPUs (e.g. `2` on an 8-CPU node reserves 6 for queries) - Configure delayed read fan-out (v1.17+)
- Performance Tuning for Higher RPS
- Minimize impact of Update Workloads
- Horizontal Scaling for Throughput
- Disk I/O Bottlenecks
- What NOT to Do
What does the qdrant-scaling-qps skill do?
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.
How do I install it?
Run `npx skills add github/awesome-copilot --skill scaling-qps --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.