fd4336e883
An exhausted SHARED durable-queue message was `drop_exhausted()`-ed with a
warning — silent data loss. Per-app queues persist to `dead_letters` (0010);
add the symmetric group store so an exhausted shared-queue message is preserved
and operator-visible.
- Migration 0068: `group_dead_letters`, keyed by (group_id, collection),
CASCADE on the group (an app delete leaves the data — it belongs to the
group, not the consuming app).
- `GroupQueueRepo::dead_letter` (replaces `drop_exhausted`): one tx that INSERTs
the dead-letter + DELETEs the live message, filtered by claim_token so a lost
lease can't dead-letter a re-claimed message (mirrors queue_repo::dead_letter).
- Dispatcher `q_terminal` shared arm now dead-letters instead of dropping. It
returns None (not the dl id) so the per-app `fan_out_dead_letter` is SKIPPED —
firing the consuming app's per-app handlers on a shared message (competing
consumers → nondeterministic app) would be wrong. Fan-out to a *shared*
dead_letter trigger is deferred (needs a new trigger kind).
- Read side: `GroupDeadLetterRepo::list_for_group` backs a new read-only
operator endpoint GET /api/v1/admin/groups/{id}/dead-letters (GroupKvRead,
mirrors the M4 group-blobs surface). `pic dead-letters ls --group` deferred
(optional; the HTTP endpoint is the operator surface).
Pinned by group_queue::dead_letter_moves_an_exhausted_message_to_the_group_store
(store move + claim-token-mismatch guard + operator read). Schema golden
reblessed.
Co-Authored-By: Claude Opus 4.8 (1M context) <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.