Device Connectivity
IoT device connectivity from the edge and shop floor all the way to the cloud—secure, standardized, and scalable.
Your devices are supposed to provide data—but heterogeneous systems, a lack of OT/IT integration, and OT/IT silos hinder any reliable IoT connectivity. Device Connectivity connects devices and OT systems to the cloud in a standardized way: automated provisioning, end-to-end security, a resilient data pipeline, and unified device modeling—as the foundation for services, monitoring, and digital business models.
On this intensive journey with doubleSlash, we overcame obstacles together and excelled as a team in meeting the challenge. Together, we succeeded in developing a scalable, robust, and future-proof IoT platform in a very short time, including a structured and resilient data foundation. – Jonathan Geiss, Senior Manager – Backend Solutions at Digital IT, Rolls-Royce Power Systems
If every type of device requires its own connection, the IoT cannot scale
Many manufacturers and operators want to move devices and OT systems to the cloud—but, in practice, run into the same obstacles:
- Equipment or machine not yet digitally connected—no reliable entry point into the IoT
- Heterogeneous devices and OT systems without standardized cloud connectivity—high effort per device type
- OPC UA, SCADA, or gateways only provide data locally—no cross-site usage
- Manual provisioning and inconsistent onboarding—Security risks, slow rollouts
- No evidence of device status, identities, or secure connectivity—CRA and NIS2 require exactly that
- OT/IT integration is lacking—OT and IT data are not consistently available; no basis for KPIs, remote service, or AI
- An IoT platform has been selected (Azure, AWS, ThingWorx), but implementation lacks the necessary capacity or expertise
The result: long time-to-market, rising costs, and a lack of transparency in the field.
Mit unserer Device Connectivity verbinden Sie heterogene OT-Systeme standardisiert, sicher und skalierbar mit der Cloud.
A Secure Foundation for Your IoT Architecture
Device Connectivity reliably connects physical devices to cloud platforms—securely, from the device all the way to the cloud. MQTT, REST, certificate-based identities, provisioning, Digital Twin, and OT protocol integration form a modular end-to-end solution based on pre-built, proven IoT architecture building blocks –—instead of a month-long project for each device type.
Can be integrated with Microsoft Azure IoT, AWS IoT, PTC ThingWorx, and other systems. This requires a deep understanding of both worlds: OT, with its security requirements, protocols, and operational processes –, and IT, with its cloud-native architectures, APIs, and agile development cycles. doubleSlash delivers both.
Typical workflow:
Securely onboard and model devices → Set up a data pipeline → Centrally provision states → Use OT data across locations.
For fleet operations, remote maintenance, and updates, Device & Update Management adds the next level of functionality.
What You Can Win
OT and IT expertise from a single source
OT systems are security- and process-driven—with strict requirements for availability, maintenance windows, and network isolation. IT architectures are cloud-native and agile. Understanding both worlds, grasping their processes, and connecting them seamlessly is the real challenge –—and that is precisely doubleSlash’s core competency.
This includes edge-side module development: Docker containers that run on edge devices, perform local preprocessing, and communicate securely with the cloud—even when the connection is unstable.
Shorter time to market:
Pre-built, proven IoT architecture building blocks instead of a month-long project for each device type –—faster delivery of demonstrable IoT results.
Cross-Site Transparency:
A unified view of equipment status and operational data across plants and regions—The foundation for OEE, downtime analysis, and data-driven decisions.
Lower integration costs: Reusable integration patterns across device types and manufacturers—fewer custom solutions, less maintenance effort.
Operational Security: End-to-end security from the device to the cloud—Identities, certificates, encrypted communication, and secure defaults.
Scalable architecture: Multi-site rollouts and growing fleets without proportionally increasing project costs—technology-agnostic and expandable for new use cases.
The Data Foundation for Tomorrow: Clean, standardized equipment data as a prerequisite for remote service, condition monitoring, predictive maintenance, and AI-driven operational optimization.
What Device Connectivity Does
Set Up and Onboard
Automated provisioning with device identity (X.509/PKI), zero-touch onboarding, and service activation, including consent management. Standardized connectivity via MQTT, HTTPS, AMQP, and WebSockets—plus OT-to-cloud via OPC UA, edge gateways, and semantic mapping.
Edge Modules and Container Deployment: Development and deployment of Docker containers as edge modules—seamlessly integrated into edge devices and securely communicating with the cloud. Enables local preprocessing, offline capability, and secure data forwarding even with unstable connections.
Modeling and Providing Data
Digital twin with a unified device model, a resilient data pipeline (buffering, store-and-forward), and API-first integration with ERP, CRM, and BI—without data silos.
Operate and Monitor Safely
End-to-end security (TLS/mTLS, PKI, OAuth 2.0/OpenID Connect), centralized device visibility through health, metrics, and logs, as well as basic alerting for faster error diagnosis.
Our Technological Expertise
- Platforms: Microsoft Azure IoT, AWS IoT, PTC ThingWorx, Mender.io, and others
- Protocols: MQTT, REST, AMQP, OPC UA, Modbus, SCADA, Profibus/Profinet, HTTPS, and WebSockets
- Security & Identity: TLS/mTLS, X.509, PKI, OAuth 2.0 / OpenID Connect, integration with identity providers such as Microsoft Entra ID
- Edge & Security Partners: secunet as a Preferred Partner for Edge Gateways –, particularly for security-critical OT environments and critical infrastructure
Modular IoT Solution or Custom Software
Typical approach: Clarify the starting point and use cases → Set up a pilot or architecture → Scale the rollout across plants and locations.
During the needs assessment, we’ll determine the best approach—both options draw on the same project experience. In a focused pilot, initial productive results are often achievable in just a few weeks; the specific timeline depends on the number of devices and the scope of integration.
Industries: Mechanical and plant engineering, medical technology, automotive, energy, and decentralized systems.