dead_letter triggers have been registerable since v1.1.1 but their handlers never fired: dispatcher::handle_failure wrote the dead_letters row and stopped — list_matching_dead_letter had no production caller. Any deploy v1.1.1–v1.1.6 with dead_letter triggers had silently non-functional handlers. The fix: after the dead-letter row is inserted on retry exhaustion, fan out to matching dead_letter triggers (filtered by source / originating trigger_id / script_id) and enqueue one outbox row per match carrying a real-shape TriggerEvent::DeadLetter (the §6 brief field names were stale — used the actual variant: dead_letter_id, original: Box<TriggerEvent>, attempts, last_error, trigger_id, script_id, first/last_attempt_at). The recursion-stop (a handler's own failure isn't re-dead-lettered) is upheld by the existing is_dead_letter_handler short-circuit. Tests (DB-gated): handler actually fires with the nested original event; existing row-create test now also asserts handler-fire; source_filter excludes non-matching; failing handler does not recurse. 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.