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A connected fleet is a firehose — every vehicle and sensor streams position and state continuously. Under-build the pipeline and telemetry backs up; centralise it badly and latency makes the live map lie; ignore cost and the bill grows linearly with every device.
SquareOps builds telemetry platforms that ingest at scale without backpressure, process geo-distributed for low latency, run high-throughput pipelines with tiered storage, and stay reliable around the clock — so dispatchers see the truth in real time and cost-per-device stays flat as you grow.
From device to dashboard — ingestion, latency, throughput, reliability, and cost, engineered for fleet scale.
Horizontally-scaling ingestion — IoT gateways, Kafka/Kinesis, and autoscaling consumers — that accepts millions of messages per minute without backpressure.
Ingestion endpoints and processing close to fleets, with edge caching for hot data, so live tracking stays fast wherever vehicles are.
Stream processing for live state and alerts, with raw telemetry landing in tiered storage for analytics and replay — partitioned and compressed for scale.
Multi-AZ HA, automated failover, and idempotent processing so nothing is lost or double-counted — the live map stays live.
Tiered storage, data lifecycle policies, Spot/Graviton processing, and right-sized streaming to keep cost-per-device flat as the fleet grows.
Historical analytics, route and behaviour insights, and event replay on the same telemetry — without slowing the real-time path.
Each stage is built to scale and fail independently, so the firehose never takes the system down.
Devices stream to regional gateways that accept and buffer without backpressure.
Stream processors compute live state, geofences, and alerts in real time.
Raw telemetry lands in tiered storage — hot for now, cold for analytics and replay.
Dashboards and APIs read fast from hot state — the live map dispatchers trust.
Talk to us about your fleet, your message volume, and your latency targets. We'll design an ingestion and pipeline architecture that stays reliable and cost-efficient as you grow.
Talk to a Telemetry EngineerTelemetry platforms that stay real-time and reliable as the connected fleet scales.
Built real-time telemetry ingestion and tracking that stays reliable and cost-efficient as the connected-vehicle fleet grows.
Geo-distributed ingestion and edge caching kept the live map low-latency across regions for dispatch operations.
Tiered storage and lifecycle policies kept cost-per-device flat as billions of events accumulated.
"SquareOps is excellent at understanding the problem statement and coming up with better solutions and a strong execution plan."
An ISO 27001-certified, AWS Advanced Partner that has built telemetry at fleet scale — so ingestion, latency, and cost are solved together, not in conflict.
Ingestion that scales horizontally and never backs up, even as devices multiply.
Geo-distributed processing keeps the live map honest across regions.
Tiered storage and lifecycle policies keep cost-per-device down as you scale.
Idempotent, HA pipelines and 24×7 SRE keep tracking up when operations depend on it.
Ingestion, latency, throughput, reliability, and cost at fleet scale.
We build streaming ingestion that scales horizontally — MQTT/IoT gateways, Kafka or Kinesis for the firehose, and autoscaling consumers — so millions of GPS and sensor messages per minute are accepted, buffered, and processed without backpressure. Ingestion is decoupled from processing so a spike in devices never stalls the pipeline.
We deploy geo-distributed — ingestion endpoints close to fleets, regional processing, and edge caching for hot data — so a vehicle in one region isn't routed across the world to update its position. Latency-sensitive paths are kept short while analytics run centrally.
With stream processing and tiered storage: real-time paths compute live state and alerts, while raw telemetry lands in cost-efficient storage for analytics and replay. We partition, batch, and compress so throughput stays high and storage cost stays sane even at billions of events.
Tracking is operational, not optional — a blackout means lost shipments and blind dispatchers. We design multi-AZ high availability, automated failover, idempotent processing so nothing is double-counted or lost, and 24×7 SRE under a 99.95% SLA so the live map stays live.
Yes. Telemetry volume makes cost the silent killer, so we use tiered storage, data lifecycle policies, Spot and Graviton for processing, and right-sized streaming — keeping cost-per-device low as the fleet grows from thousands to millions.
Yes. We've delivered for mobility platforms including LocoNav — building telemetry ingestion, real-time tracking, and high-throughput pipelines that stay reliable and cost-efficient as the connected fleet scales.
Talk to a SquareOps engineer about real-time IoT ingestion, geo-distributed low latency, high-throughput pipelines, and cost control for logistics and mobility.
Talk to a Telemetry Engineer