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@absolutejs/runtime

v0.6.1

Published

Multi-tenant Bun runtime substrate for PaaS providers — spawn isolated child Bun processes per tenant, idle-kill, metric emit. The library SB-6 surfaces between isolated-jsc + sync and the hosted product downstream.

Readme

@absolutejs/runtime

Multi-tenant Bun runtime substrate. Wraps Bun.spawn so that "run this tenant's bun run start inside an idle-killing, metric-emitting child process" is one function call.

Built for PaaS providers and platform layers that want to host many small Bun apps under one host process. The library SB-6 surfaces between @absolutejs/isolated-jsc + @absolutejs/sync and the hosted product downstream.

import { createRuntime } from "@absolutejs/runtime";

const runtime = createRuntime({
  source: { kind: "directory", root: "/srv/tenants" },
  idleAfterMs: 5 * 60 * 1000,
  maxConcurrent: 100,
  onMetrics: (event) => prometheus.observe(event),
  onLog: (event) => loki.write(event),
});

// First call: spawns `bun run start` in /srv/tenants/tenant-42,
// injects PORT, waits for readiness, returns the bound port.
const tenant = await runtime.ensure("tenant-42");
await fetch(`http://127.0.0.1:${tenant.port}/`);

// Subsequent calls reuse the running process.
runtime.touch("tenant-42"); // bump idle clock

runtime.stats(); // { running, total }
await runtime.dispose();

Surface (0.1.0)

| API | Purpose | | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | createRuntime(options) | Factory. Returns a Runtime. | | runtime.ensure(key) | Spawn-or-reuse. Single-flight on concurrent calls to the same key. Throws fast if key is in a back-off window. Returns { key, port, pid, startedAt, lastTouchedAt }. | | runtime.touch(key) | Bump the idle clock for an active tenant. Cheap; call before/after each request. | | runtime.stats() | { running, total, draining, backoff } snapshot. | | runtime.kill(key) | Force-kill. No-op if not running. | | runtime.restart(key) | Kill + spawn fresh in one call. For deploys that swap to a new release. | | runtime.clearBackoff(key) | Forget consecutive-failure state. | | runtime.drain() | Refuse new ensure() spawns; existing tenants keep running. For graceful shard shutdown. | | runtime.dispose() | Kill all + stop the sweeper. Idempotent. |

Back-off on spawn failures

A spawn that fails (spawn fn threw, or readiness timed out) records a per-key { attempt, retryAt, lastError } and the next ensure(key) throws fast until retryAt. After maxFailures (default 10) consecutive failures, the key stays refused until clearBackoff(key). Defaults: baseMs=1000, maxMs=60_000, maxFailures=10. Override via the backoff option. Without this, one broken tenant thrashes the host with rapid spawn retries.

Observation (Linux-only)

When observeIntervalMs > 0 (default 30_000), the sweeper periodically reads /proc/<pid>/stat (utime + stime) and /proc/<pid>/status (VmRSS) per running tenant and emits { type: 'observation', key, pid, cpuMs, rssBytes, at } via onMetrics. This is the per-tenant data @absolutejs/metering consumes to attribute idle hibernation cost. Silently skips on non-Linux.

Hibernation strategy

Idle-kill at the process layer, plus the JSC-context hibernation any tenant gets for free via @absolutejs/isolated-jsc's createHibernatingIsolatePool. Bun has no process-level snapshot/resume primitive shipped or tracked in an open issue as of 2026-05-29; when one lands we'll add an opt-in hibernate: 'process-snapshot' mode and keep idle-kill as the default.

The trade-off the default makes explicit: first call after idle pays a full Bun cold spawn (~50–200ms). That's worth it for the free-tier multi-tenant economics; if the wake latency matters for your workload, set idleAfterMs: 0 and rely on maxConcurrent's LRU eviction instead.

Observability hooks

onLog, onMetrics, and onTransition are pluggable. onLog receives newline-split stdout/stderr from every child; onMetrics fires on spawn ({ type: 'spawn', durationMs }) and periodically with observations on Linux ({ type: 'observation', cpuMs, rssBytes }); onTransition fires on every state change: spawn, ready, idle-kill, lru-evict, exit (with a structured reason), backoff, drain.

Exit reasons

The exit transition's reason field is one of: crashed, exited-clean, idle-killed, lru-evicted, killed, readiness-timeout, disposed, restarted. The meter / control plane uses this to decide whether to charge, retry, or alert.

Pluggable spawn + readiness

spawn and readiness are overrides on createRuntime. The default spawn runs ['bun', 'run', 'start'] with PORT injected; the default readiness polls http://127.0.0.1:${port}/ every 100ms with a 30s deadline. Tests use the spawn override to bypass disk; production use is mostly the defaults.

spawn returns the minimal RuntimeProcess contract (pid, exited, and a sync-or-async kill). Bun's Subprocess satisfies it directly. Container adapters can return the host pid plus resourceId (for example, a Docker container id) and port when the adapter must bind inside a fixed firewall range. The reported port becomes the readiness and tenant port while retaining the same idle-kill, LRU, restart, drain, metrics, and backoff behavior.

Use runtime.adopt(key, process) during boot reconciliation when a managed process survived a control-plane restart. For externally routed traffic, shouldIdleKill can perform a final activity check before eviction instead of requiring every request to pass through runtime.touch().

Checkpoint/restore seam (0.4.0) — ⚠️ EXPERIMENTAL

Bun has no process.checkpoint(), so the first request after an idle-kill pays a full cold spawn. The checkpoint option is a seam: the control plane can pilot criu (or any snapshot mechanism) without forking the runtime.

import { createRuntime, execCheckpointDriver } from "@absolutejs/runtime";

const runtime = createRuntime({
  source: { kind: "directory", root: "/srv/tenants" },
  checkpoint: {
    driver: execCheckpointDriver({
      checkpointCommand: [
        "criu",
        "dump",
        "--tree",
        "{pid}",
        "--images-dir",
        "{dir}",
        "--shell-job",
        "--tcp-established",
      ],
      restoreCommand: ["restore-and-print-pid.sh", "{dir}"], // must print RESTORED_PID=<n>
      imageDir: "/var/lib/tenants/images",
    }),
    restoreTimeoutMs: 10_000,
  },
});

Behavior:

  • Only the idle path checkpoints. When the sweeper finds an idle tenant and a driver is configured, it calls driver.checkpoint({ key, pid }) first. true means "image written AND process gone" (criu dump's default) — the exit is recorded with the new reason checkpointed instead of idle-killed. false/throw declines, and the normal idle-kill proceeds. Explicit kill(), dispose(), and LRU eviction never checkpoint.
  • ensure() restores when it can. If driver.has(key) is true, driver.restore({ key }) runs before any cold spawn. On success the tenant is tracked as an external pid — no Subprocess handle, liveness polled on the sweep interval, kills via process.kill(pid), /proc-based observation events unchanged — and a { type: 'restored', key, pid, port, durationMs } transition fires. On null/throw/timeout the runtime calls driver.drop(key) and cold-spawns.
  • After a successful restore the image is dropped (best-effort) — resuming the same image twice would fork the tenant's state. restart(key) also drops any image (a restart means new code).
  • The tenant's port on restore is remembered from checkpoint time (a criu restore resumes the original socket). The mapping is in-memory — if the host process restarted in between, the restored tenant reports port: 0.
  • stats()/metrics() gain a checkpoints block: { checkpoints, restores, restoreFailures, lastRestoreMs } cumulative counters.

Why experimental: criu needs root (or CAP_CHECKPOINT_RESTORE) + a kernel with CONFIG_CHECKPOINT_RESTORE, and restoring processes with open TCP sockets has real sharp edges. The @absolutejs/isolated-jsc "small tier" (createHibernatingIsolatePool) remains the recommended hibernation path today. This surface exists so process-level hibernation can be piloted per-shard behind a flag — expect the driver contract to evolve.

Egress guard (0.4.0)

One runaway tenant can DoS outbound bandwidth or poison a shared third-party rate limit. createEgressGuard is a host-side guarded-fetch factory: hand each tenant guard.fetchFor(tenant) instead of the raw fetch.

import { createEgressGuard, EgressDeniedError } from "@absolutejs/runtime";

const guard = createEgressGuard({
  budgets: { requests: 100, bytes: 25 * 1024 * 1024, windowMs: 60_000 },
  onDeny: (info) =>
    audit.append({
      kind: "egress.denied",
      tenant: info.tenant,
      url: info.url.href,
      reason: info.reason,
    }),
});

const guardedFetch = guard.fetchFor("tenant-42");
await guardedFetch("https://api.stripe.com/v1/charges"); // ok
await guardedFetch("http://169.254.169.254/latest/meta-data/"); // throws EgressDeniedError { reason: 'not-allowed' }

guard.metrics(); // { tenants, requests, denied: { 'not-allowed', 'requests-budget', 'bytes-budget' }, bytesEgress }
guard.reset("tenant-42"); // re-open the tenant's budget window

Pairing with @absolutejs/sync's sandboxed handlers — route the sandbox's outbound escape hatch through the guard so every tenant mutation shares one policy:

const guardedFetch = guard.fetchFor(tenantKey);

defineMutation({
  name: "enrich:lookup",
  sandboxedHandler: `async (args, ctx, actions, unsafeHost) =>
    unsafeHost.fetchJson(args.url)`,
  sandbox: {
    unsafeHost: {
      fetchJson: async (url: string) => (await guardedFetch(url)).json(),
    },
  },
});

(The same shape works for bridgeFetch-style host-side fetches: wherever the host performs network I/O on a tenant's behalf, use the tenant's guarded fetch.)

Details:

  • Default allowlist denies private/loopback/link-local/metadata address space — 10/8, 172.16/12, 192.168/16, 127/8, 169.254/16, 0.0.0.0, ::, ::1, fc00::/7, fe80::/10, IPv4-mapped IPv6 equivalents — plus the bare hostnames localhost, *.localhost, *.internal. Everything else is allowed. Override with allow: (tenant, url) => boolean (it replaces the default entirely). Caveat: the default check is hostname-based and does not resolve DNS — a public name pointing at a private address (DNS rebinding) passes; use a resolving allow hook if that's in your threat model.
  • Budgets are per-tenant rolling windows (timestamps pruned on each check). Requests count on start; a request that would push past requests, or that starts while window bytes already ≥ bytes, throws EgressDeniedError with reason: 'requests-budget' / 'bytes-budget'.
  • Byte accounting covers declared and streamed responses. A valid Content-Length is counted immediately. Without it, the returned body is wrapped in a zero-buffer transform and chunks are counted as the caller consumes them. The bytes budget applies to the next request once the rolling total reaches its cap; it does not truncate a response already in flight.
  • tracerProvider (same pattern as createRuntime) wraps each call in a runtime.egress_fetch span with abs.tenant, abs.egress.host, abs.egress.allowed, and abs.egress.deny_reason attributes.

Architectural role

  • @absolutejs/isolated-jsc — heap-isolated JS contexts. One library down: the unit the runtime hibernates is a child process, not a JSC context.
  • @absolutejs/sync — reactive engine. Independent of the runtime; consumed inside tenant processes when the tenant uses it.
  • @absolutejs/runtimethis library. The process-pool layer.
  • @absolutejs/metering (planned) — consumes the runtime's metrics + handlerMetrics from sync into a cost-attribution → billing-events pipeline.
  • @absolutejs/router (planned) — multi-tenant routing in front of one or more runtime instances.

License

BSL 1.1 with a named carveout for the hosted multi-tenant Bun runtime / PaaS substrate category (Convex, Liveblocks, Vercel, Render, Fly, Cloudflare Workers). See LICENSE. Change Date: 4 years from first release; Change License: Apache 2.0.