f640764d89
New workspace crate: an open-loop, coordinated-omission-corrected HTTP load generator + capacity ramp for the standalone and multi-process cluster surfaces, modeling a thepeach feed session (feed reads + view/like/skip signals + search, signal-dominated per their user-graph spec). Throttleable target rate, ramp presets (smoke/quick/peach-100k/max) or rps:secs specs, peach/reads/writes/custom mixes, leader vs sharded write paths, per-op p50/p90/p99/p999/max latency, a backpressure-aware status breakdown (429/408/503/4xx/5xx/transport), and a verdict translated to supported DAU. Runs in-cluster as a k8s Job (tidal-stress/k8s/). Open-loop scheduler (scheduler.rs) fires at a fixed arrival rate and measures latency from each request's intended send time, so a server stall inflates the percentiles a closed-loop test hides; it shed-and-counts rather than blocking when the in-flight cap is reached. Pure-Rust (tokio + reqwest/rustls), no engine deps. Findings on the live 3-region k3s cluster (docs/ops/stress-test-thepeach.md): reads scale to thousands/s at <15ms p99; the replicated /signals path saturates at ~90 signals/s (single-leader funnel + 2-worker write pool + synchronous gRPC ship); the sharded path sustains 3,669 signals/s at 0 errors and ~27% cluster CPU (≈ the 100k-DAU peak, knee not reached). Overload degrades gracefully (429; 0 pod restarts). thepeach's planned in-process embedding sidesteps all of it (write ≈82ns). |
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| content-strategy.md | ||
| personal-briefing-beachhead.md | ||
| README.md | ||
tidalDB Engineering Docs
The engineering documentation home. Top-level product docs (VISION, USE_CASES, SEQUENCE, ARCHITECTURE, API, QUICKSTART, CODING_GUIDELINES, thoughts) live at the repository root; everything below is the deeper engineering record.
This and the repo root are the two canonical doc homes. There is intentionally no per-crate doc mirror (no
tidal/docs/). Edit the canonical file, never a copy.
Component specs — specs/
The authoritative component specifications (status: Implemented, M0–M8).
| # | Spec | # | Spec |
|---|---|---|---|
| 00 | Architecture overview | 08 | Query engine |
| 01 | Storage engine | 09 | Ranking & scoring |
| 02 | Entity model | 10 | Feedback loop |
| 03 | Signal system | 11 | Schema |
| 04 | Relationships | 12 | Cold start |
| 05 | Cohorts | 13 | Concurrency |
| 06 | Text retrieval | 14 | Scale architecture |
| 07 | Vector retrieval |
Planning — planning/
- ROADMAP.md — milestones M0–M10, phase status, known gaps
- PRODUCT_ROADMAP.md · architecture-review.md · roadmap-cohort-analysis.md · site-cohort-analysis.md
- Per-milestone phase/task archive:
planning/milestone-0,1,2,3,5,7,8,9,10,p/
Code reviews — reviews/
- M0–M10 code review — 2026-06-07 — seven-dimension re-review, 88 verified findings
- M0–M10 code review — 2026-06-08 — seven-dimension review, 142 findings (latest pass)
- M0–M10 seven-dimension review — additional pass (2 BLOCKERs: signal-checkpoint trim, 30-day window)
Guides — guides/
Task-oriented, build-an-app docs (complements the root QUICKSTART.md and API.md):
- Build a feed app — end-to-end TikTok/Reels-style "For You" feed, embedded and over HTTP
- Embedding integration — wiring a real embedding model (OpenAI / Cohere / local) into the write + query paths
- Server deployment — running the
tidal-serverHTTP service: config, auth, the served OpenAPI spec, Docker - Ranking-profile reference: ai-lookup/services/ranking-profiles.md — all 25 built-in profiles
Operations — ops/ and runbooks/
- Monitoring · Prometheus alerts · Grafana dashboard · Capacity planning · Recovery
- Runbooks: Kubernetes · Cluster (experimental)
Research — research/
ANN (1, 2) · Tantivy (1, 2) · Signal ledger (1, 2) · WAL · Type system · Tooling & diagnostics · Enterprise-readiness risks
Profiling — profiling/
Hotspot analysis · Scale baselines · Signal memory · Signal rollup eval · Social scale · Tantivy merge tuning · USearch tuning