Services /IoT Device Integration
ServiceIoT Device Integration
Get data from field devices into cloud systems reliably, even with weak connectivity.
Best fit
Teams with deployed devices where missing telemetry or delayed alerts disrupt daily operations.
Typical stack
MQTT/AMQP Event-driven ingestion Edge buffering Azure IoT services
Engagement model
- Short, mid, or long projects.
- Embedded with your existing team and tooling.
- Direct work with senior engineers.
Situations we usually step into
- Data is dropped during reconnect and unstable network periods.
- Payload or schema changes break processing without warning.
- During incidents, operations cannot trust current device state.
First conversation
We keep the first call practical. Bring current architecture, constraints, and timeline. We will agree on the first concrete step.
How we run the work
- Map the full path from device message to alert or dashboard.
- Define strict payload contracts and backward compatibility rules.
- Add buffering, retries, and idempotent ingestion for weak networks.
- Roll out gradually with explicit rollback checks.
What you get
- End-to-end architecture map with protocol and payload contracts.
- Stabilized ingestion pipeline with logs, metrics, and alert thresholds.
- Release and rollback runbook for firmware and backend changes.
Need help in this area?
Send a short summary of your setup. We will reply with a concrete next step.