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PointSav Documentation

The engineering library for the PointSav platform — operating systems and services for regulated businesses that own their data, their AI, and their record-keeping outright. Where the monorepo holds the code, this wiki holds the reasoning: architecture, services, security, and the governance commitments that bind future development.

PointSav Digital Systems

GIS data lake

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f6cbdae4 · PointSav Digital Systems ·

editorial(services): light Track-B pass on service-fs-data-lake — core content already correctly hedged (unikernel-planned vs plain-directories-today framing matches the sanctioned FLS pattern, not the banned wrong-claim-beside-retraction one); confirmed no service-pointsav-link crate exists anywhere in the monorepo (same phantom-crate pattern already found on diode-standard) and removed that fabricated See Also link, plus the unconfirmed service-places-filtering link (matches the app-orchestration-gis finding this session); stripped a 'verified against...' methodology citation from reader prose per register-documentation.yaml; register-clean EN+ES, 0 lint warnings

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@@ -12,7 +12,7 @@ audience: public
short_description: "service-fs is the foundational storage layer for the GIS pipeline — a flat-file data lake storing raw geospatial points, available to every downstream service."
bcsc_class: public-disclosure-safe
language_protocol: PROSE-TOPIC
last_edited: 2026-07-31
last_edited: 2026-08-22
editor: pointsav-engineering
paired_with: service-fs-data-lake.es.md
cites: []
@@ -40,11 +40,9 @@ As the stateful layer of the platform, `service-fs` is responsible for data pers

## Unikernel Implementation (Planned)

The target production deployment is a low-overhead unikernel providing a restricted API for the [[service-business-clustering|`service-business`]] and [[service-places-filtering|`service-places`]] intelligence layers to read raw data and write back processed results, enforcing clean separation between storage and analysis concerns. **Current state**: the unikernel envelope does not exist yet — the landing zones described above are plain host-filesystem directories, read and written directly by the GIS ingestion and analysis scripts (verified against `app-orchestration-gis`'s own ingestion scripts, which read/write these paths with ordinary file I/O). The [[retail-co-location-tier-methodology|retail co-location tier methodology]] describes how the clustering output is used to generate tier rankings, once that analysis layer is built.
The target production deployment is a low-overhead unikernel providing a restricted API for the [[service-business-clustering|`service-business`]] and [[service-places-filtering|`service-places`]] intelligence layers to read raw data and write back processed results, enforcing clean separation between storage and analysis concerns. **Current state**: the unikernel envelope does not exist yet — the landing zones described above are plain host-filesystem directories, read and written directly by the GIS ingestion and analysis scripts with ordinary file I/O. The [[retail-co-location-tier-methodology|retail co-location tier methodology]] describes how the clustering output is used to generate tier rankings, once that analysis layer is built.

## See also

- [[service-business-clustering]]
- [[service-places-filtering]]
- [[app-orchestration-gis]]
- [[service-pointsav-link|PointSav Link Service]] — fleet adapter that makes os-* storage accessible across node boundaries
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