The wiki was silent on the actual stream name used by tcp-ingestion and
processor — anyone reading it to understand the architecture had no way
to find out what stream the services use. This gap contributed to a
stage-side bug where the two services' compiled defaults drifted
(tcp-ingestion: telemetry:teltonika, processor: telemetry:t), causing
~7 hours of silent zero-throughput before symptoms surfaced.
Changes:
- entities/redis-streams.md — added "Stream and key naming" table
covering the inbound telemetry stream, Phase 2 command streams, and
registry/heartbeat keys. Documented the telemetry:{vendor} convention
so a future Queclink/Concox adapter fits predictably.
- entities/processor.md — opening paragraph names the stream and
consumer group consumed.
- entities/tcp-ingestion.md — opening paragraph names the stream
produced; defers full naming convention to redis-streams.
- log.md — note entry recording the canonicalization and the stage
incident that triggered it.
3.4 KiB
title, type, created, updated, sources, tags
| title | type | created | updated | sources | tags | ||||
|---|---|---|---|---|---|---|---|---|---|
| TCP Ingestion | entity | 2026-04-30 | 2026-05-01 |
|
|
TCP Ingestion
The service that maintains persistent TCP connections with GPS devices, parses vendor binary protocols, ACKs frames per protocol, and hands off normalized records to the redis-streams queue (default stream telemetry:teltonika for the Teltonika adapter; see redis-streams for the full naming convention).
Responsibility
Single concern: protocol I/O. Explicitly not:
- Apply business rules
- Write to PostgreSQL
- Perform geospatial computation
- Serve any user-facing API
The narrow scope is what keeps the process fast, predictable, and safely restartable.
Connection model
- Built around
net.createServer()(Node.js) — each socket is an independent session. - Per-connection state is small: identifier (e.g. IMEI), parser instance, partial-frame buffer.
- Devices reconnect automatically on network failure → connection loss is routine → service is trivially restartable.
Vendor abstraction
Each device vendor (Teltonika, Queclink, Concox, etc.) ships its own binary protocol. Vendor-specific code is isolated behind a protocol-adapter interface:
- Input: byte stream from a TCP socket
- Output: normalized position-record (
device_id,timestamp,lat,lon,speed,heading, plus a free-formattributesbag)
Adding a new vendor = writing a new adapter. Nothing downstream changes.
Handoff discipline
For every parsed frame:
- Send protocol-required ACK to the device.
- Push normalized record to a Redis Stream.
- Return to reading the socket.
The TCP handler never blocks on downstream work. Backpressure is absorbed by the Stream; Ingestion keeps accepting and acknowledging. This is the discipline that keeps the system alive under load.
Project layout
Lives at tcp-ingestion/ — single Node.js/TypeScript project. Layout:
tcp-ingestion/
├── src/core/ # vendor-agnostic shell (no adapter imports)
├── src/adapters/ # per-vendor adapters
│ └── teltonika/ # see [[teltonika]]
├── src/config/
├── src/observability/
└── test/fixtures/ # real packet captures per codec
Three layout rules: core/ never imports adapters/; adapters never import each other; each adapter folder is self-contained so it can be lifted into its own service later via git mv.
Scaling shape
- Single Node.js process handles thousands of concurrent connections at typical telemetry rates.
- Horizontal scaling: multiple instances behind a TCP-aware load balancer (HAProxy, NGINX stream module).
- TCP guarantees session stickiness for the duration of the connection.
- No shared state between instances required — per-device state lives entirely on the open socket.
The pattern ports cleanly to higher-throughput runtimes (Go, Elixir) if a future rewrite is warranted.
Failure mode
Crash → devices reconnect → in-flight frames are retransmitted by the device per protocol → no data is lost beyond what was unacknowledged. See failure-domains.
Phase 2 addition
Each Ingestion instance will run a parallel command consumer reading from commands:outbound:{instance_id} and writing command frames to device sockets. The TCP read path is not blocked. See phase-2-commands.