MechaCat02 966b209d2e feat(quota): add per-app storage ceilings
An app's OWN store had no ceiling of any kind — only the group-SHARED
collections did, which is the inversion of what you'd expect. And
`authz::script_gate` returns `Ok(())` when there is no principal, so a
PUBLIC UNAUTHENTICATED route could reach `files::collection(..).create(..)`
and write blobs in a loop until the disk filled. `PICLOUD_FILES_MAX_FILE_SIZE_BYTES`
caps ONE file at 100 MB; nothing capped the count. Same for KV keys and docs
against Postgres.

Ceilings: `PICLOUD_APP_KV_MAX_ROWS` / `PICLOUD_APP_DOCS_MAX_ROWS` (100k) and
`PICLOUD_APP_FILES_MAX_TOTAL_BYTES` (10 GiB).

They are enforced DIFFERENTLY from the group ones, on purpose — porting the
group design as-is would have been a serious regression:

  * KV/docs check a ROW count, on INSERT only, with NO lock. `kv::set` is the
    hottest write path in the system; taking a per-app advisory lock on every
    set would serialize an app's entire data plane, and a `SUM(...)` scan would
    make write cost grow with the app's stored size. What the lock buys is
    small — unlocked overshoot is bounded by write concurrency (32) against a
    ceiling of 100k, ~0.03%. These are anti-DoS rails, not billing. An update
    adds no row and is bounded by the per-value cap, so it pays nothing at all.
  * No per-app BYTE ceiling for KV/docs: every value is already capped at
    `PICLOUD_KV_MAX_VALUE_BYTES`, so `max_rows x max_value_bytes` is ALREADY a
    finite bound. A second scan would buy nothing.
  * FILES are the exception and DO lock + sum: one blob may be 100 MB, so 32
    racing uploads could overshoot by gigabytes of real disk, and a file write
    is heavy enough that the lock and the SUM are lost in the noise. Checked on
    create AND update — an update that skipped the ceiling would be a free
    bypass (the same bug just fixed for group files: grow a 1-byte file to
    100 MB, repeat).

`group_quota` is renamed `quota`: it now serves both owners, and the module
doc is where the two enforcement strategies are contrasted.

Pinned by tests/atomic_write.rs: the key ceiling refuses a new key while
still allowing an update at the ceiling (rejecting updates would brick an app
the moment it filled up — worse than the DoS the rail exists to stop), and 10
concurrent uploads cannot exceed the disk ceiling, nor can an update grow past it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-14 20:32:32 +02:00

PiCloud

A lightweight, self-hosted, event-driven serverless compute platform. Upload a Rhai script, get an HTTP endpoint. Designed to run on a single modest server with no idle CPU cost, and to scale out to a small cluster when you need it.

Status: Phase 1 — MVP scaffolding in progress.

The authoritative design lives in serverless_cloud_blueprint.md.

Why

Existing serverless platforms are either cloud-locked, heavyweight, or both. PiCloud aims for the opposite end of the spectrum: one binary, one database, one reverse proxy — running on hardware you already own.

Architecture (one paragraph)

PiCloud splits into three logical services — manager (control plane: scripts, schedules, dashboard), orchestrator (per-node event ingress and dispatch), and executor (per-node Rhai sandbox) — each backed by a *-core Rust library. In MVP they run in a single process; in cluster mode they run as three binaries with one manager and one orchestrator + executor per node. Caddy fronts everything; PostgreSQL is the single source of truth.

See CLAUDE.md for working notes and serverless_cloud_blueprint.md for the full design.

Quick Start

Coming as scaffolding lands. For now:

# Rust toolchain (pinned via rust-toolchain.toml)
cargo check --workspace

# Run the all-in-one MVP binary (once main.rs is wired up)
cargo run -p picloud

Repository Layout

crates/
  shared/                 cross-cutting types
  executor-core/          Rhai engine + sandbox
  orchestrator-core/      event ingress, dispatch
  manager-core/           control plane
  picloud/                MVP all-in-one binary
  picloud-{manager,orchestrator,executor}/   cluster-mode binaries (skeleton)
dashboard/                SvelteKit
caddy/                    Caddyfile
docker/                   Dockerfiles
docs/
  git-workflow.md         Trunk-based workflow

Contributing

See docs/git-workflow.md for the branching and commit conventions. TL;DR: trunk-based, short-lived branches, Conventional Commits, no force-pushing main.

License

TBD.

Description
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