aa2831da90
Findings from a 3-lens end-to-end review (correctness, security, tests).
Security review came back clean (cross-repo authz sound, isolation intact,
M5 gate sound modulo the documented manifest-trust boundary). No behavior
changes here — only accuracy + coverage:
- apply_service Phase B2: correct the descendant-expansion comment. The chain
is COMMITTED ancestry (ancestors() reads the pool), so a reparent in the same
apply takes effect next apply — same "one more apply" shape the in-tree path
and group-create reparenting already have. Authz stays sound: the gate and the
expansion consume the SAME chain (checked == written).
- doc §4.5: document the two known "one more apply / no data risk" limitations
— reparent-in-same-apply template resolution, and the `{env}` source split
(declared apps use --env; cross-repo descendants use apps.environment).
- approval journey: give the app real (`[vars]`) content so the editor member's
AppVarsWrite is actually exercised — the admin-gate test now proves approval
is ABOVE editor-write, not just "any non-admin is refused". (Vars cascade with
the app; scripts are ON DELETE RESTRICT and would break AppGuard teardown.)
- templates journey: assert descendant expansions are idempotent (stable row
ids on re-apply — no churn), matching the in-tree guarantee.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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.