IoT telemetry on Nuxt 4, Postgres (Neon) and Supabase Auth
IoT telemetry: user-owned devices, append-only sensor readings, threshold alert rules, and fired alert instances.
79 files, 3 tables and 88 lines of schema, verified 2026-08-23 on Nuxt 4, Postgres (Neon) and Supabase Auth.
15 pinned upstream versions
request path. session validation runs in server components and route handlers, not at the edge
What you're getting
Nuxt 4 (framework mode): full-stack Vue SSR: client under app/ (Vite), server under server/ (Nitro), API as server/api/*.post.ts Nitro route handlers.
Postgres on Neon via Drizzle ORM and the postgres-js driver.
Supabase Auth: hosted identity (GoTrue) via the @supabase/ssr cookie client; email+password + OAuth.
IoT telemetry: user-owned devices, append-only sensor readings, threshold alert rules, and fired alert instances.
Setup
bun add nuxt vue drizzle-orm postgres @supabase/ssr @supabase/supabase-jsDATABASE_URLNeon pooled (-pooler) connection stringNEXT_PUBLIC_SUPABASE_URLNext: your Supabase project URL (RR: VITE_SUPABASE_URL · Nuxt: NUXT_PUBLIC_SUPABASE_URL)NEXT_PUBLIC_SUPABASE_ANON_KEYNext: the project's anon/public key (RR: VITE_SUPABASE_ANON_KEY · Nuxt: NUXT_PUBLIC_SUPABASE_ANON_KEY)SUPABASE_URLReact Router server-side (loaders): same project URL, read off process.env — never inlined into the client bundleSUPABASE_ANON_KEYReact Router server-side: same anon keyApply the schema with bunx drizzle-kit push
Initialization
Database client
IoT telemetry schema: devices, readings, alert rules & alerts
4 tables, 23 columns and 8 indexes and constraints, applied to a live Postgres (Neon) and asserted to materialize.
devices6 columns · 3 indexedsensor_readings5 columns · 2 indexedalert_rules6 columns · 1 indexedalerts6 columns · 2 indexedWhat this schema is built to answer
idx_reading_device_time on (device_id, recorded_at) bounds the scan, and the metric filter is applied inside it — metric is free text with no index, so a second metric on the same chart costs a second pass, not a second index.
devices.device_key is UNIQUE, so one probe turns the key on the wire into the device_id every sensor_readings row is written against. Accepting a reading never touches the user table.
alert_rules is fetched by its device_id foreign key — a handful of rows per device — and comparator, held to gt/lt/gte/lte by alert_rules_comparator_check, picks the comparison against threshold. threshold and value share a type, so no cast enters the compare.
idx_alert_device on alerts.device_id, then status = 'firing' inside that range; resolved_at stays null until something closes the alert, so the two columns have to be written together. alerts carries device_id alongside rule_id precisely so this read never joins through alert_rules.
idx_device_owner on devices.owner_id gathers the fleet, and status is a stored column guarded by devices_status_check, so the split is a group-by over those same rows rather than a rollup across sensor_readings.
Devicesuser-owned device registry with a unique device_key and an online/offline status CHECK
Sensor readings (time-series)append-only rows of metric + numeric value per device, indexed for time-range rollups
Alert rules & alertsper-device threshold rules (gt/lt/gte/lte comparator CHECK) and the alert instances they fire, with firing/resolved lifecycle
Deploy targets
The app UI
Decisions and compatibility
Client/server split: the DB client, Drizzle schema, records, and webhooks are server-side (server/). The `@/` alias is the client root (app/); server code reaches shared modules via Nuxt's `~~` rootDir alias (e.g. `~~/server/db/schema`).
The API layer is Nitro, Nuxt's server engine: endpoints are server/api/*.post.ts route handlers, and auth mounts as a Nitro catch-all that delegates to the auth library's framework-agnostic web handler.
Nuxt auto-imports components and composables at runtime, but the emitted server code imports h3 helpers (defineEventHandler, toWebRequest) EXPLICITLY — the one deliberate idiom trade so the handlers type-check under standalone tsc instead of relying on the auto-import magic.
Session gating runs in a Nitro server middleware (server/middleware/), which fires on every SSR and API request — the true security boundary, and a real server-side session check rather than a cookie-existence peek.
prepare: false is mandatory — Neon's pooled endpoint is PgBouncer in transaction mode, where server-side prepared statements break across the pool.
Drizzle is paired here (not Prisma): Prisma's prepared-statement reliance is incompatible with transaction-mode pooling.
Hosted: Supabase owns identity in its managed auth.users. This stack emits a LOCAL `user` mirror (db/auth-schema.ts) so app-type schemas can foreign-key `user` directly — keep it in sync with a Supabase trigger on auth.users (insert/update → public.user). The drizzle migration only owns the mirror table's shape, not the trigger.
Sessions are cookie-based (@supabase/ssr): the proxy refreshes them on every request; Server Components read the user via supabase.auth.getUser().
devices.device_key carries a unique constraint — it is the physical device's identity token and must be generated once at provisioning time, never regenerated.
sensor_readings is append-only (no update path, composite index on device_id + recorded_at) — roll up by device + time window for dashboards rather than mutating any running aggregate.
How this stack fits together
On Nuxt 4 this stack puts its Postgres (Neon) client at server/lib/db.ts and the Supabase Auth instance at app/middleware/auth.ts and session checks in server/middleware/supabase.ts. Those are the paths this framework's adapter actually emits, not a shared convention: the same IoT telemetry schema and the same Supabase Auth wiring land somewhere different on each of the other frameworks in the registry.
Supabase Auth owns its identity tables in the same database as devices, sensor_readings, alert_rules and alerts, so the foreign keys reference the local user row directly and a delete cascades through them. No mirror, no webhook, and no window where the two stores disagree.
Postgres (Neon) stores those surrogate keys as uuid, so every foreign key across the 4 tables and 23 columns below is a uuid column. The migration was applied to a live Postgres (Neon) and the tables asserted, not just type-checked.
IoT telemetry
The device stamps the time, not the server: sensor_readings.recorded_at is notNull with no default, so whatever the firmware puts on the wire is what lands. A gateway buffering through an outage therefore replays honestly, its backlog keeping true instants instead of collapsing onto the moment it reconnected — and readings arrive out of order as a matter of course, so the latest reading for a device means ordering by recorded_at, never taking a max of anything else. Readings are a narrow long table: device_id, a free-text metric, a value, and that timestamp. On Postgres value is numeric, which is arbitrary precision; on MySQL it is decimal(20,6), because a bare mysql decimal is (10,0) and would silently round every temperature to a whole degree.
Six fractional digits is the ceiling on that side. Devices are the scoping root. device_key is UNIQUE and serves as the hardware's identity at ingest — issued once at provisioning, and the only credential this schema knows about. owner_id foreign-keys Better Auth's user, with idx_device_owner behind the fleet list. status is a stored flag held to 'online' or 'offline' by devices_status_check; it is not derived from readings, so a heartbeat job or the ingest handler has to write it, and it stays wrong until something does. The alerting half is two tables rather than one because a declaration and a firing have different lifetimes.
alert_rules is a per-device threshold — a metric, a comparator held by alert_rules_comparator_check to gt, lt, gte or lte, and a threshold in the same numeric type as value — and nothing stops several rules covering one metric. alerts is the instance: status guarded to 'firing' or 'resolved', triggered_at defaulted, resolved_at nullable until something closes it. It stores both rule_id and device_id even though the device is reachable through the rule, and that redundancy is the point — idx_alert_device answers what is firing on this device with no join. Cascades run the whole way down from devices, so decommissioning one deletes its readings, its rules and its alert history in a single statement. If the telemetry has to outlive the hardware, keep the device row and stop writing to it.
Nuxt 4
Nuxt 4 in framework mode is the one stack here with two roots. Client code lives under app/ and is what `@/` points at (Vite, Vue single-file components); server code lives under server/ and is run by Nitro, Nuxt's server engine. The database layer is server-side, so initCode writes server/lib/db.ts and the schema, record modules and webhooks land under server/db/ and server/api/ — server modules reach each other through Nuxt's `~~` rootDir alias (`~~/server/lib/db`, `~~/server/db/schema`), never through `@/`. That split earns its keep with secrets: the Resend send client belongs to ~~/server/lib/email, and nothing under app/ can import it by accident. The API layer is Nitro rather than a React-shaped route file.
server/api/webhooks/polar.post.ts is a POST endpoint; auth mounts as the catch-all server/api/auth/[...all].ts, which adapts the H3 event with toWebRequest(event) and hands the resulting web Request to the auth library's framework-agnostic handler. Nuxt auto-imports defineEventHandler and its siblings at runtime, but the emitted server files import them from h3 explicitly — one deliberate idiom trade so every handler type-checks under standalone tsc. Session gating is a Nitro server middleware at server/middleware/auth.ts. It fires on every SSR render and every API request, filters on pathname prefixes (/dashboard, /settings), performs the real auth.api.getSession() lookup, and answers with sendRedirect(event, "/sign-in", 302). Because Nitro sits in front of both the rendered page and the endpoints, that is a genuine security boundary rather than a cheap pre-render bounce.
On the client, Vue does its own thing: the auth binding exposes signIn/signUp/useSession as Vue refs, screens are .vue components under app/pages/ (sign-in.vue, dashboard/[id].vue), chrome lives in app/components/ and app/layouts/, and SPA-side guards are app/middleware/*.ts. The design system is shadcn-vue on reka-ui — a real re-port, not the React components wearing new names — and it is checked with vue-tsc, since plain tsc cannot parse an SFC.
Postgres (Neon)
Postgres here is Neon reached through postgres-js, with Drizzle's pg-core dialect on top: drizzle({ client }) over a single module-level postgres(DATABASE_URL, { prepare: false }). That flag is not a preference. Neon's pooled (-pooler) endpoint is PgBouncer in transaction mode, where a backend is handed to a different session between statements, so server-side prepared statements break across the pool — and the same constraint is why this axis pairs with Drizzle rather than Prisma. One client per module is enough: PgBouncer and the runtime do the pooling, so there is no globalThis singleton dance. The schemas built on this dialect make three recurring type decisions. Primary keys are uuid(...).primaryKey().defaultRandom(), so ids come from the database. Timestamps are timestamp(..., { withTimezone: true }).defaultNow() — timestamptz, an absolute instant.
Closed value sets are text plus a CHECK constraint rather than pgEnum, so shipping a new role or subscription status is an ordinary constraint change instead of an ALTER TYPE migration. Counters are bigint({ mode: "number" }), and Better Auth's text user.id is referenced as text by the app tables rather than recast. Operationally, transaction-mode pooling forbids anything that spans statements on one backend: LISTEN/NOTIFY, session-scoped SET, advisory-lock sessions, WITH HOLD cursors. Those paths use Neon's direct endpoint instead. The connection client also changes with the deploy target — max: 1 per short-lived serverless instance, a real reused pool (max 10, idle_timeout 20) in a long-running Node process, and on Cloudflare Workers postgres-js is replaced outright by @neondatabase/serverless over HTTP, because Workers have no TCP sockets.
The capability that exists only on this side of the matrix is row-level security. Multi-tenant schemas ship ENABLE plus FORCE ROW LEVEL SECURITY with policies keyed on current_setting('app.current_org_id', true), which withTenant() sets per transaction — unset context yields no rows, so isolation fails closed inside the database rather than in application code. It requires a dedicated NOBYPASSRLS role: Neon's default neondb_owner carries BYPASSRLS, and connecting as it makes every policy silently inert.
Supabase Auth
Supabase Auth is a hosted service — GoTrue — that your app reaches over cookies rather than an SDK session object. Credentials and the canonical user records live in Supabase's managed auth.users schema. What lands in your own database is a mirror: db/auth-schema.ts declares user keyed by the Supabase auth uid (text; varchar(255) on MySQL) with email, full name, avatar URL and timestamps, so app-type schemas can foreign-key user exactly as they would under a self-hosted auth. Unlike the Clerk fragment, no sync webhook is emitted here, because Supabase's own trigger mechanism is the intended path: a trigger on auth.users writing into public.user lives in the Supabase project, not in the drizzle migration.
The migration owns the mirror's column shape and nothing else, so wiring that trigger is a step you take before those foreign keys mean anything. The mechanic that actually shapes this adapter is cookie refresh. @supabase/ssr rotates the auth token, and a rotated cookie only reaches the browser if something writes it onto the outgoing response — which is why every framework branch is built around the same getAll/setAll pair, wired to whatever that framework calls a cookie jar. Next's src/proxy.ts rebuilds the NextResponse inside setAll before calling getUser().
React Router has no middleware layer, so app/lib/supabase/server.ts constructs the client per request and returns { supabase, headers }, and the protected layout route attaches those headers to both exits — the redirect and the pass-through — so a refresh that happened during a guard is not lost. Nuxt's server/utils/supabase.ts binds the client to the h3 event and writes through setCookie, with a Nitro middleware doing the guard. Every decision point calls supabase.auth.getUser(), never getSession(): getSession reads whatever the cookie claims, getUser revalidates it against Supabase. Because a browser client is emitted alongside the server one, the auth screens are real forms calling supabase.auth.signInWithPassword rather than a hosted widget, and the sidebar's user menu subscribes to onAuthStateChange. Two consequences to plan around.
The anon key is public by design and is inlined into the client bundle under whichever prefix the framework demands (NEXT_PUBLIC_, VITE_, NUXT_PUBLIC_), so protection has to come from row-level security on Supabase's side, not from keeping the key quiet. And every guard is a network call to Supabase, not a local query — cheap, but not free, and on the path of every protected request.
