THE CHALLENGEScaling IoT Backends Is an Infrastructure Problem
Getting a single device to publish MQTT messages is straightforward. Running a production IoT backend that handles thousands of concurrent connections, processes millions of messages per day, and stays reliable through network disruptions and traffic spikes is an entirely different engineering problem. We have built IoT backends for fleet sizes ranging from hundreds to hundreds of thousands of devices, and we bring that operational experience to every project.
CLOUD PLATFORMS
We Work Across All Major IoT Cloud Platforms
AWS IoT Core
Managed MQTTWe integrate devices with AWS IoT Core for fully managed MQTT at scale. Device shadows, rules engine for data routing, and integration with Lambda, Kinesis, and S3 for downstream processing. We configure thing types, policies, and certificate-based authentication for production fleets.
Common use cases: Fleet telemetry, device shadows, serverless data processing, S3 archival
Azure IoT Hub
Enterprise IoTWe build on Azure IoT Hub for enterprise environments that run on Microsoft infrastructure. Device twins, direct methods, cloud-to-device messaging, and integration with Azure Stream Analytics and Time Series Insights. We handle device provisioning service (DPS) setup for zero-touch enrollment.
Common use cases: Enterprise fleets, digital twins, stream analytics, edge deployments
Custom MQTT Brokers
Self-Hosted ControlWhen you need full control over your messaging infrastructure, we deploy and manage Mosquitto, EMQX, or HiveMQ on your own cloud or on-prem servers. We configure clustering, persistence, authentication plugins, and monitoring. This gives you complete ownership of your data path.
Common use cases: Data sovereignty, on-prem deployments, high-throughput telemetry, custom auth
WHAT WE BUILD
From Broker Setup to Production Dashboards
Broker Setup and Management
We deploy MQTT brokers with proper clustering, TLS termination, authentication backends, and ACL policies. Whether it is a single Mosquitto instance for prototyping or a multi-node EMQX cluster handling millions of connections, we configure it for reliability.
Topic Architecture Design
We design MQTT topic hierarchies that scale cleanly. Proper namespacing for device types, locations, and data streams. QoS level strategy per message type, retained message policies, and last will and testament configuration for offline detection.
Device Provisioning Workflows
We build the full provisioning flow from factory to field. Certificate generation and injection during manufacturing, just-in-time provisioning on first connection, fleet-wide credential rotation, and automated onboarding through cloud provisioning services.
Time-Series Data Pipelines
We build the ingestion path from MQTT into time-series databases like InfluxDB and TimescaleDB. Data normalization, downsampling strategies for long-term storage, and query optimization for dashboard responsiveness across millions of data points.
Real-Time Dashboards
We develop monitoring dashboards that show live device status, telemetry trends, and fleet health. Grafana-based setups with custom panels, alerting rules for anomaly detection, and configurable views for different stakeholder roles.
OTA Update Orchestration
We build fleet-wide over-the-air update systems on top of MQTT. Firmware distribution with staged rollouts, progress tracking per device, rollback on failure detection, and bandwidth management for large fleets updating simultaneously.
ARCHITECTURE PATTERNS
Messaging Patterns We Implement
Fan-Out Distribution
One message published to many subscribers simultaneously. We use this for broadcasting configuration changes, firmware update notifications, and system-wide alerts across entire device fleets. Proper topic design and QoS selection ensure every device receives critical messages.
Command and Control
Bidirectional communication between cloud and devices. We implement request-response patterns over MQTT for remote commands, configuration updates, and diagnostic queries. Each device gets its own command topic with proper acknowledgment flows.
Telemetry Ingestion
High-volume, unidirectional data flow from thousands of devices into the cloud. We optimize this path for throughput with QoS 0 for high-frequency sensor data, batching strategies to reduce message overhead, and broker-level routing to different storage backends.
Ready to Build Your IoT Cloud Backend?
Tell us about your device fleet and data requirements. We will walk through the architecture, broker selection, and data pipeline design, then give you a clear plan for getting your IoT backend into production.
Schedule a Free Consultation