Keeping up to date on all the new services and features for an entire cloud portfolio could be a full-time job. In this presentation, we will look at the state of IoT in Microsoft Azure and discuss how the different services work together to implement an enterprise solution. Use this presentation to get an overview of architecture and products so that the next time you are presented with an IoT problem in Azure you know the solution.
Enable IoT with Edge Computing and Machine Learning
Virtual Reality and IoT – Interacting with the changing world
Enable IoT with Edge Computing and Machine Learning
Being able to run compute cycles on local hardware is a practice predating silicon circuits. Mobile and Web technology has pushed computation away from local hardware and onto remote servers. As prices in the cloud have decreased, more and more of the remote servers have moved there. This technology cycle is coming full circle with pushing the computation that would be done in the cloud down to the client. The catalyst for the cycle completing is latency and cost. Running computations on local hardware softens the load in the cloud and reduces overall cost and architectural complexity.
The difference now is how the computational logic is sent to the device. As of now, we rely on app stores and browsers to deliver the logic the client will use. Delivery mechanisms are evolving into writing code once and having the ability to run that logic in the cloud and push that logic to the client through your application and have that logic run on the device. In this presentation, we will look at how to accomplish this with existing Azure technologies and how to prepare for upcoming technologies to run these workloads.
Virtual Reality and IoT – Interacting with the changing world
Using IoT Devices, powered by Windows 10 IoT and Raspbian, we can collect data from the world surrounding us. That data can be used to create interactive environments for mixed reality, augmented reality, or virtual reality. To move the captured data from the devices to the interactive environment, the data will travel through Microsoft’s Azure. First it will be ingested through the Azure IoT Hub which provides the security, bi-directional communication, and input rates needed for the solution. We will move the data directly from the IoT Hub to an Azure Service Bus Topic. The Topic allows for data to be sent to every Subscription listening for the data that was input. Azure Web Apps subscribe to the Topics and forward the data through a SignalR Hub that forwards the data to a client. For this demo, the client is a Unity Application that creates a Virtual Reality simulation showcasing that data.
Once finished with this introduction to these technologies, utilizing each component of this technology stack should be approachable. Before seeing the pieces come together, the technologies used in this demonstration may not seem useful to a developer. When combined, they create a powerful tool to share nearly unlimited amounts of incoming data across multiple channels.
About four days ago Lamar and I went to Mixed3D to get some scans done for his birthday. They have an interesting booth filled with Raspberry Pis that generate a 3D model. They also offer to print those 3D models in full color using sandstone (which we took them up on). From the scans we picked 2 that best fit the theme of the day and were most usable in Lamar’s Unity projects.
