Technology
IoT Development Services — Connected Devices, Edge & Cloud
End-to-end IoT engineering — firmware, gateway, edge compute, cloud ingestion, and the dashboards that turn telemetry into decisions.
What we build with IoT
- Firmware on ESP32, STM32, Nordic, and Linux-based devices
- Gateway design with MQTT, OPC-UA, and BLE bridging
- Edge compute on AWS Greengrass, Azure IoT Edge, or custom
- Cloud ingestion via AWS IoT Core, Azure IoT Hub, or self-hosted MQTT
- Time-series storage with Timestream, InfluxDB, or TimescaleDB
- Dashboards and alerts on Grafana, custom React, or Power BI
Why DiveScale
Built by engineers who ship IoT in production
IoT projects break at the seams: firmware vs. gateway, gateway vs. cloud, cloud vs. application. DiveScale ships across all of them so the seams are properly engineered, not assumed.
We have built IoT systems for healthcare, hospitality, veterinary, and industrial clients — devices counted in dozens or hundreds of thousands. The discipline scales: OTA updates that actually roll back, telemetry pipelines that survive backhaul outages, and dashboards that surface trends, not noise.
And we close the loop. Telemetry only matters when it changes behavior — alerts that wake the right person, automations that act on the right signal, and analytics that drive product decisions.
IoT use cases we deliver
How we deliver
Our IoT delivery process
- 01
End-to-end scope
We map device → gateway → cloud → app together. IoT projects fail when one piece is designed in isolation.
- 02
Prototype the seams
First milestone: a real device talking through a real backhaul to a real dashboard. Everything else is detail.
- 03
Scale & harden
OTA, certificate management, retention policies, observability, and the operational layer for fleet ops.
- 04
Operate & evolve
Fleet ops, firmware release cadence, telemetry-driven product decisions, and ongoing platform engineering.
Related technologies
AWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreMicrosoft Azure
Azure architecture, App Service, AKS, Functions, and Azure OpenAI — enterprise-grade builds for Microsoft-aligned organizations.
Learn morePython
Production Python engineering — FastAPI services, async pipelines, AI/ML workloads, data engineering at scale, and the typed, tested, observable discipline production Python deserves.
Learn moreBig Data
Production big data engineering at real scale — managing trillions of rows with millisecond query times, custom sharding strategies, ETL pipelines, and lakehouse architectures on Spark, dbt, Iceberg, Snowflake, and BigQuery.
Learn moreIoT — Frequently Asked Questions
AWS IoT Core when AWS already houses your platform; Azure IoT Hub when Microsoft alignment dominates. Both are production-ready; the choice usually follows the rest of the stack.
