IoT & API Integration
IoT devices, edge gateways, cloud platforms (AWS IoT, Azure IoT Hub), MQTT/CoAP/LwM2M protocols, OTA firmware. API-first design (REST, GraphQL, gRPC, WebSocket, WebHooks), API gateway, service mesh, SaaS and legacy integration via ESB and iPaaS.
What we deliver
- Device provisioning and management on AWS IoT Core and Azure IoT Hub
- MQTT, CoAP and LwM2M protocol implementation on edge gateways
- OTA firmware update pipelines with automatic rollback
- API-first design with OpenAPI 3.x, REST, GraphQL and gRPC
- API gateway setup (Kong, AWS API Gateway, Azure APIM) with rate limiting and OAuth2/JWT authentication
- Service mesh configuration with Istio or Linkerd for inter-service communication
- Legacy system integration via ESB (MuleSoft, WSO2) and iPaaS (Make, enterprise Zapier)
- WebSocket and WebHook support for real-time data streams and event-driven notifications
When you need it
Manufacturer with unconnected production equipment
Machines generate operational data but nothing captures it. The team wants remote monitoring and predictive maintenance. They need edge gateways deployed, a communication protocol defined, and data flowing into an existing cloud platform — without rebuilding the shop floor setup.
Software company needing to expose a legacy system via API
An internal management platform has been running for years but has no usable API surface. The goal is to open it to partners or a mobile app without rewriting the core. They need a clean API layer that bridges old and new without touching the underlying database.
IoT startup moving from prototype to production
The hardware prototype works, but there's no cloud infrastructure to handle thousands of devices. The small engineering team lacks hands-on experience with IoT Hub or MQTT at scale. They need someone to build the IoT backend and the data consumption APIs.
Retailer juggling multiple disconnected SaaS tools
CRM, ERP, e-commerce platform and third-party logistics all speak different languages. Every point-to-point integration breaks with each vendor update. The CTO wants a centralized integration layer — iPaaS or ESB — that contains the blast radius when any one system changes.
Frequently asked questions
How long does it take to connect an existing IoT device to a cloud platform?
It depends on what protocol the device already supports. If it speaks MQTT or HTTP, a basic integration with AWS IoT Core or Azure IoT Hub takes 2-4 weeks. If the firmware needs changes or uses a proprietary protocol, add 3-6 weeks for porting and OTA testing.
Can you work with our existing API gateway instead of replacing it?
Yes. We work with whatever you have — Kong, AWS API Gateway, Azure APIM, Nginx. If you don't have one yet, we'll recommend the option that fits your expected traffic and target cloud. The goal is fewer components to manage, not more.
How do you secure externally exposed APIs?
OAuth2 with JWT tokens, mutual TLS where the client is a physical device, rate limiting to prevent abuse, WAF at gateway level. For IoT APIs we also add device-side certificate validation and remote revocation in case a device is compromised.
What happens when one of the integrated SaaS vendors changes their API?
That's the core risk of point-to-point integrations. We use an abstraction layer — dedicated adapters or connectors — to contain the change. When a SaaS updates its API, only the adapter changes, not the entire chain. With iPaaS, breaking-change monitoring is automated.
Do we actually need gRPC, or is REST good enough?
REST covers most cases. gRPC makes sense for high-frequency inter-service communication, binary payloads, or bidirectional streaming — typically backend-to-backend in microservices architectures. For APIs exposed to external clients, REST or GraphQL are almost always the more practical choice.
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