The Internet-of-Everything

Imagine an air conditioner that sends temperature, pressure, vibration and other telemetry data to a central location where the data is analyzed. When any of the parameters shows unusual behavior, the platform sends a notification, such as an e-mail or an SMS. This is how most of the M2M platforms envision IoT: devices connected to the cloud, with data visualized on a dashboard with simple threshold crossing and alerting. We call this a “SCADA in the cloud” approach.

Can we increase operational efficiency even further?

Let's start from the example above with an air conditioner showing abnormal behavior. First thing we want to do is to create a ticket in the customer support system. But we should not stop here. What if it was just too hot outside and someone forgot to close the window while keeping the airco running over the weekend? In order to verify that hypothesis, the system must check the outside temperature. How do we find the outside temperature? By calling the weather API for a given location. How do we find the location of the airco? By querying the asset database. In case of emergency, we also need to inform a support person. Who should we inform to inspect the building or close the window? That information is in the ERP system.

What we can observe from this simple example is that connecting people, devices, software applications and online services requires much more than a "SCADA in the cloud" approach. To truly unleash the power of Internet-of-Everything (IoE), we must have a service orchestration platform that seamlessly connects all the dots.

An agile and extendable orchestration platform

Once an IoT platform gets in place, many enterprises are facing with problem of integrating IoT with their existing IT systems. Usually, they need to make a trade-off between flexibility in orchestration and time-to-market:

  • Custom integrations provide ultimate flexibility, as you build the integration from scratch. However, lead time, effort and cost are usually a concern. Moreover such approaches typically lack extensibility and the lifecycle cost is high.
  • ERP rules and workflow engines form a second alternative. You export data from your IoT system to your ERP system every couple of hours and build the logic inside the ERP system. ERP systems are not known for flexibility nor fast time-to-market and most customers do not perceive this as a viable option. Moreover, exporting data every couple of hours is not a real-time solution. Finally, integration of additional external data source is also not straightforward.

  • Relying on standard IoT platforms is the third major option. Most of these platforms focus on secure device onboarding, storage and visualization and do not have state-of-the-art integration capabilities. As long as you need simple threshold crossing and email/SMS service, these platforms will do the job, but beyond that, you will need custom integration efforts again. When providing integration into IT back-ends, most IoT platforms provide uni-directional integration only, from IoT platform to IT systems. Waylay provides bi-directional integration where information from the IT systems can also provide information as part of the decision process.

You do not need to compromise between flexibility and time to market. That is why we have built Waylay. Waylay is an orchestration and automation solution that provides a structured framework to connect data sources, develop logic, deploy, scale and maintain it over time. With an API-driven and open architecture, it provides enterprises also with the right flexibility to tune to their specific use cases.

Implementing similar use cases by connecting dots while following the story line sounds either too obvious or too good to be true. There are many reasons for the "healthy skepticism", as IoT/API rule engines face many challenges:

  • Changes of the customers’ environment and requirements.
  • Lack of compact representation, leading to difficult simulation, debugging and maintenance.
  • Rule engines don’t provide us with easy ways to gain additional insights: why has a rule fired and under which conditions?
  • Combining data from the physical world (PUSH mode) with data from the “API world” (PULL mode).
  • How long do we wait for the next information to come before deciding to move on to the next decisions?
  • How long are the measurements valid?

At Waylay, it is our mission to solve these problems. The Waylay award wining platform is based on the patented technology that is result of 15 years of experience in the domain of rules engines and M2M.

Why the Waylay platform?

Waylay helps companies with remote machinery and devices
to increase operational efficiency and build a service business model

An open and extendable platform

  • A modern REST-based architecture.
  • Sensor/actuator SDKs to customize platform to your needs.
  • No lock-in: export and import your logic in JSON format.

Wire and debug your logic graphically

  • Drag-and-drop designer.
  • Compared to any other rules or workflow engine, the logic representation is extremely compact.
  • This facilitates easier debugging and ongoing maintenance.

Connect your back-end, fast and reliably

  • waylay’s connector framework allows to easily hook your existing back-end to the waylay platform and exchange data via REST, websockets or MQTT.
  • Of-the-shelf connectors are available for multiple IoT platforms.

Enabling the programmable Internet

  • combine multiple information streams, whether coming from sensors (mostly push model) or from the Internet (mostly pull model).
  • Logical inference happens instantly, across all variables.

Develop once, deploy anywhere

  • waylay is a cloud platform, hence you need to develop your logic only once to deploy it across all devices.
  • Avoid the synchronization of logic across multiple HW platforms and OSs.

Complete lifecycle management

  • Design, debug, deploy and maintenain your logic.
  • Built-in simulation tools allow debugging even when not all sensor connectors are available.
  • Debugging tools and dashboard functionality.

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