Skalierbare Cloud
Infrastruktur für
vernetzte Produkte.
Azure-native Backends, Echtzeit-Telemetrie-Pipelines und hochwertige Dashboards. Gerätedaten fließen nahtlos von Edge zur Erkenntnis.
Everything your
devices need.
Designed to scale from prototype to millions of connected devices without changing your architecture.
Azure-native,
from day one.
We don't bolt the cloud on after — we architect it in from the first device prototype.
Clean APIs.
Great developer experience.
Every cloud integration we build comes with clear documentation, typed SDKs, and real-world examples.
Connect your devices
to the cloud.
From first prototype to production fleet — FSS handles the cloud infrastructure end-to-end.
Aus unserem Engineering-Blog
Alle Artikel →Azure IoT Hub für Gerätehersteller: Komplettes Integrationshandbuch
Geräte-Provisioning, D2C-Messaging, Device Twins, Direct Methods und produktionsreife Architektur.
CloudBuilding an IoT Data Pipeline with Azure Event Hubs and Azure Functions
Scalable IoT data pipelines — from IoT Hub routing to Event Hubs, Functions processing, and Time Series storage.
CloudMQTT Protocol for IoT: QoS, Retained Messages and Last Will Explained
Complete guide — QoS levels, retained messages, Last Will and Testament, topic design, broker selection.
CloudReal-Time IoT Dashboard with WebSockets and React
WebSocket architecture with Azure SignalR, React state management for high-frequency updates, live charts.
CloudEdge Computing for IoT: When to Process on Device vs in the Cloud
Decision framework for IoT edge vs cloud — latency, bandwidth, offline operation, ML at the edge.
SicherheitX.509 Certificates for IoT: Zero-Trust Device Authentication
CA hierarchy, device provisioning, mutual TLS, certificate rotation, and Azure IoT Hub DPS integration.