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Serverless and IoT
- 4. Serverless is to servers as wireless is to wired. Wireless internet still requires wires, but customers don't need to interact with them
- 8. { "bindings": [ { "name": "myQueueItem", "type": "queueTrigger", "direction": "in", “queueName": "outputqueue", "connection": "AzureWebJobsStorage" }, { "type": "blob", "name": "outputBlob", "path": "outblob/{rand-guid}.txt", "connection": "AzureWebJobsStorage", "direction": "out" } ] } module.exports = function (context, myQueueItem, myOutputBlob) { context.log('JavaScript queue trigger function ', myQueueItem); //validate if (myQueueItem.apiId && myQueueItem.method && myQueueItem.body) { const value = DoWork(myQueueItem); if(value) { context.bindings.myOutputBlob = JSON.stringify(value); //myOutputBlob = JSON.stringify(value); } } else { //handle error queue item missing params context.log('invalid queue item ', myQueueItem); } context.done(); }
- 9. https://github.com/Azure/Azure-Functions Azure WebJobs SDK script Azure WebJobs SDK Azure WebJobs SDK extensions Azure Functions CLI Azure Functions Portal Azure Functions templates Azure Functions samples
- 14. Cloud Gateway Analytics, Storage & Routing UI LOB Connectivity
- 15. Solution UX Cold Path Hot Path Business Integration Connectors and Gateway(s) Cloud Gateway Personal mobile devices Business systems Device Provisioning and Management
- 16. Devices Azure IoT Suite Predictive Maintenance Event Hub Storage blobs DocumentDB Web/ Mobile App Stream Analytics Logic AppsIoT Hub Azure Function Azure ML https://www.microsoft.com/en-us/internet-of-things/azure-iot-suite
- 19. Pain Point Time consuming, costly, and difficult to measure pH Balance. pH levels in the water and nutrient streams change constantly. pH needs to be more closely monitored and adjusted in real time.
- 23. Pain Point
- 24. Pain Point Lab technicians need to visit the housing units every three days to change materials to ensure the measurements remain within compliance even if the readings are within normal range. Multitenant soluition segregates data into separate databases and storage locations.
- 25. IoT Hub Stream Analytics Alert ProcessingAlert Queue Hot Path Event Hub Event Hub Data integration Data integration Tenant DB’s Device Mapping DB Long Term Blob Cold Path Cool Path
- 28. Pain Point
- 29. Pain Point Difficult for Nullspace to debug from Seattle when customers may reside across the world. "It's useful to quickly retrieve the health of a suit remotely, without having to sit down at the customer's computer. Our electrical engineer can see the which zones are out, and figure out the most obvious problems immediately."
- 33. Pain Point
- 34. Pain Point Immediate hitting stats feedback is an involved process. Currently, Sensors must be placed on the batsman and expensive infra-red cameras must be set up in the batting test location.
- 35. Cricket Bat Sensor Mobile Device Device Registration IoT Hub Stream Analytics Blob Storage PowerBI FTIS Processing Event Hub
- 40. IoT in the Cloud IoT on the Edge
- 41. Edge device IoT Hub Edge Hub Edge ASA Edge ML
- 43. • Costa Farms http://aka.ms/costafarms https://github.com/joescars/CostaIoTSensorProject • Rockstep Solutions https://aka.ms/rockstep • Future Technologies in Sports https://aka.ms/ftis • Nullspace https://github.com/DaveVoyles/NullspaceVR-web-portal
Editor's Notes
- Used azure functions? What language? In production? Lamda?
- Abstraction of servers, infrastructure and configuration of operating system Event-driven scale Sub-second billing Stateless Serverless compute is a fully managed service. Some refer to it as Functions as a Service OS and Framework patching is performed for you There is zero administrative tasks and no need to manage any infrastructure You just deploy your code (function) and it runs Your code runs within seconds and for very short period of time Serverless compute scales quickly (almost instantly) and vastly Automatically scales within seconds No scale configuration is required (there is no way to configure scale or limits) Scales to match any given workload. Scales from zero to handle tens of thousands concurrent functions invocations within seconds Pay only for the time your code is running Serverless compute reacts to events React, in near real-time, to events and triggers Triggered by virtually any event from Azure service or 3rd party services Setup time, provisioning is long & costly
- The difference between trigger and binding…
- IoT fits all of these categories. But what is iot?
- This pokes fun at the consumer side but there is a serious side of iot that causes real impact. There are a lot of different types of devices out there but all iot scenarios come down to three fundamental componenets.
- It is all about the action. Otherwise your just racking up a big bill for data. And nobody needs more data, they need insights into that data. And that is the heart of IoT today
- Every IoT project will have this general reference architecture. Talk through each component at a very high level. Mention our services.
- Hot path and cold path are just conceptual components. Functions have a part to play in every aspect
- How does it work? As mentioned; the solution is a combination of multiple back-end components. This architecture diagram shows the individual Microsoft products and services that are utilized. Reference Architecture for Remote Monitoring solution, what products are used and why? -> Provision simulated devices with a C# device emulator running .Net. Create agents for Linux, iOS, Android and other platforms with C and Java language support. IoT Hub manages the two way communication between cloud and device and creates a secure command and control channel. Azure Stream Analytics creates and manages jobs to recognize threshold values or detect alarm triggers, sending this information where it needs to be escalated. Event Hub is queried by a web job running an event processor host to determine where and alarm or alert needs to be pushed – such as sending an alert to dashboard for a human operator to take action. Logic Apps are used to create more complex work loads and integrate into line of business and other proprietary applications. Document DB stores all the metadata and device properties for each connected device. Blobs store telemetry information and telemetry data. Other tools such as Azure Machine Learning and PowerBI can access this information for data visualization or processing advanced analytics. Webapp – Dashboard code is available in Github allowing it to be fully customized by the user to align with a scenario or be relevant for an enterprise application. Azure Active Directory controls user ID’s and access, allowing the service to be shared with relevant decision makers within the business but restrict access to certain controls or devices. PowerBI is used for both open-source embedded components within the dashboard and also for complex external analytics of trends and patterns across all stored data.
- This is really the simplest and easiest IoT system to add a function into.
- Costa Farms is a third-generation, family-owned group of companies headquartered in beautiful Miami, Florida (aka, plant paradise!). The company sprouted in 1961 when the founder, Jose Costa Sr., purchased 30 acres south of Miami to grow fresh, vine-ripened tomatoes in the winter and calamondin citrus in the summer. That soon morphed into houseplants, and the Costa Farms family started innovating and introduced new houseplants such as the canela tree, orchids, and Cecilia Aglaonema. Costa Farms sells to big box stores such as Walmart, Home Depot, and Lowe’s.
- It’s time consuming, costly, and difficult for growers to measure and regulate pH throughout the day and across the lifecycle of a plant. Indeed, pH levels are one of the key factors in plant health. Furthermore, pH levels in the water and nutrient streams change constantly. To increase plant health via nutrient uptake in turn promoting higher yield, pH needs to be more closely monitored and adjusted in real time.
- Originally started with Event Hub, Switched to IoT Hub
- Show off the bindings and triggers. Simplified. There is business logic that look up phone numbers and number of times to send etc.
- This is a bit more along the scale side of things
- RockStep Solutions creates world-class scientific data management tools for research. Its innovative software system Climb is designed to transform and modernize information management in a laboratory setting. The RockStep team’s experience comes directly from years of working at the Jackson Laboratory in Bar Harbor, Maine. RockStep’s goal is to create software that enables science by leveraging the team’s experience working in research laboratories to build software that is easy to learn, usable anywhere, and truly valuable to research.
- Monitoring the environmental measurements in a research lab is costly. Currently, lab technicians need to visit the housing units every three days to change materials to ensure the measurements remain within compliance even if the readings are within normal range. Frequent changing of materials leads to higher labor and material costs and the change rate also has a direct effect on animal stress. University of Michigan. 1 million dolloar cost saving Another challenge RockStep faced was building a multitenanted IoT solution. RockStep designed its current Climb product as a multitenanted Azure solution and RockStep is directly integrating Climb with the IoT monitoring solution. As we built the solution over the course of the hackfest we solved the problem of having to segregate data into separate databases and storage locations.
- Why not use always on server since data flow is so heavy? Trade off was time to market.
- Again bindings. Talk about how can have multle record sets in eventhub queue because of scale.
- Instead of using iothub or
- The Seattle based [Hardlight VR](http://www.hardlightvr.com/) was founded in 2015, and invented the first affordable haptic feedback suit and software to provide real-time immersive VR experience. This device allows developers to track the entire upper body in virtual space, where gamers can now see their avatar, instead of just floating hands and a head in space. The team first appeared on Microsoft's radar as U.S. Finalists in the 2015 student startup competition, the [Imagine Cup](https://imagine.microsoft.com/en-US). Continuing their activity with Microsoft, they returned this year as mentors, to walk students through the process of pitching, raising capital, and entrepreneurship.
- When a suit has a hardware failure, whether it is a loose connection, broken mechanical device, or error with the software, it can be difficult for Nullspace to debug from Seattle when customers may reside across the world. Without some way to view the current status of the device while at the suit's physical location, the team is left blind. To solve this issue, Hardlight requires a solution to view the status of the suit in real-time, to assist with troubleshooting. > *"It's useful to quickly retrieve the health of a suit remotely, without having to sit down at the customer's computer. Our electrical engineer can see the which zones are out, and figure out the most obvious problems immediately."* - **Casey Waldren - Lead Software Engineer, Hardlight VR**
- Great example as they will not always be on. Only when needed so great ingestion story around cost savings.
- Show off the request object binding
- Call back down to the device to turn on off. Make chages to processing etc.
- Future Technologies in Sport, Inc (FTIS) is transforming coaching and player performance, as well as umpiring and audience engagement in cricket and other batting sports, via their proprietary sensor and mobile app based solutions. FTIS has the only technology that can reliably, accurately, and affordably deliver: Power Hitting Levels Ball Location on Bat Bat Twist Bat Swing Speed and Plane Bat Orientation and Bat Angle The sensors are integrated into the bat; a Bluetooth device on the bat transmits sensor data to the cloud. The data will be distributed to apps for: Coaching and Performance Broadcaster Audience Engagement Officiating
- Same as before but gets interesting in next slide
- This is how we send back to device through iot hub
- Talk through how some of this logic we just saw could be pushed to edge server
- Edge and serverless. Thing of edge computing as CDN for compute.
- Show of alerting scenario in azure portal
- Thank you so much for coming out!