M3 quotas capped a group's shared KV/docs by ROW count only; a group could still
blow past storage with few-but-huge values. Add the symmetric total-bytes ceiling
(files already had one).
- group_quota: PICLOUD_GROUP_{KV,DOCS}_MAX_TOTAL_BYTES env vars (default 256 MiB)
+ accessors.
- GroupKvRepo/GroupDocsRepo: total_bytes(group) = SUM(octet_length(value::text))
(default Ok(0) so non-Postgres impls skip the check).
- GroupKv/DocsServiceImpl: check the PROJECTED total (old value's bytes
subtracted, new added) on every set/create/update, so a same-or-smaller update
near the cap is still allowed (unlike a naive used+new check). New
TotalBytesQuotaExceeded errors; +with_max_total_bytes for tests.
- KV set switched has->get to obtain the old value's size for the delta.
Pinned by group_kv_service + group_docs_service per_group_byte_quota_uses_the_
projected_total unit tests (reject over-cap, allow same/smaller update near cap).
No migration. CLAUDE.md env-var table updated.
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.