Operational elements

Get an overview of the Tricloud IIoT Platform.
Any IoT solution needs answers for the below illustrated model of operational characteristics.

See how Tricloud Industrial IoT platform can help you answer these questions.



How to design the system in such a way that the infrastructure and backend are secure according to existing standards and that they maintain the necessary privacy for the collected and processed data.

Tricloud’s IIoT platform is based on Microsoft Azure Active Directory authentication of resources. The platform uses x.509 certificates for device authentication and supports deployment in virtual networks, and the edge architecture is based on containerization, segregating workloads at the edge. The system can be set up for encryption on different levels including encryption at rest and encryption in transit.


How to make sure your current and future devices interact with existing and future systems within your environment.

The platform supports major industrial protocols natively and can be extended through gateway technology to proprietary and legacy systems. The platform supports multiple data stores for various use cases, either supporting ML training and queries on time series data. The platform is based on Azure IoT runtime, enabling vision solutions to be integrated seamlessly. 


How to configure, deploy and control your devices and algorithms easily.

The platform itself can be deployed either as a Software-as-a-Service solution or as a customer-hosted solution. The platform has implemented full-scale automation, facilitating fast update of the platform components. The platform supports self-service deployment of data collection and models.


How to add new functionality or new devices to your system without disrupting existing services and configurations.

Edge runtime is based on open-source containerization, allowing easy development of customized edge models. The Tricloud edge framework simplifies development of edge modules targeting .Net. Already developed models can be packaged in a Docker container and integrated and deployed at the edge.


How to implement and design your system to ensure that your infrastructure and connected devices are maintained.

The platform provides full insight with logs and metrics for both edge devices and cloud components, making operation and maintenance transparent and simple. The Tricloud portal includes diagnostic tools for real-time root cause analysis and troubleshooting. Operational monitoring is a key component of the platform with the option to integrate with operation management systems.


How to design and implement your system in such a way that faults are mitigated according to the availability class required and that your system performs reliably in your environment.

As the platform runs on Microsoft Azure, it leverages the high availability of the cloud infrastructure. The platform is a cloud-native solution with built-in resilience to handle the intermittent nature of distributed systems. The edge runtime handles the lifecycle of processing units to keep the system running at all times. It stores and forwards architecture at the edge and ensures autonomous operation in case of connectivity disturbances, securing your data in transit.


How to ensure that your system and infrastructure grows with you and your customers, while maintaining control over cost and performance of the system as a whole.

The platform is based on Microsoft Azure Cloud services and can scale to your needs in regard to data volume and processing power. Deploy devices to any location in the world while still ensuring low latency communications with the edge. Gain control over cost and performance by leveraging advanced time series processing at the edge, thereby reducing the need for ingesting data to the system at high frequency.  Run your models at the edge for low latency predictions, directly interoperating with your assets.


How to design a system that is easy to use for all types of users.

The platform has a central management portal accessible from any web browser, supporting vital use cases for daily operations. Set up your asset management through a configuration using industry standards. Perform self-service deployments of data collection and model configuration. Visualize and explore collected data to gain insights. Monitor and perform remote service on devices directly from the management portal.

The central management portal serves the needs of the roles necessary for operating and maintaining the platform (e.g., process engineers, data scientists, technical support engineers and administrators).