AWS UG Indonesia Meetup - AWS IoT Core
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This document provides an overview and introduction to getting started with IoT on AWS. It discusses key IoT concepts like architecture, smart devices and use cases. It then covers the AWS IoT architecture and services like IoT Core, how it provides authentication, authorization and acts as a message broker using MQTT. The document demonstrates setting up a thing and connecting a device to ingest sensor data to AWS. It shows how to trigger actions based on telemetry data through rules and actions. Device shadow is discussed as a way to store and retrieve state information when devices are offline.
AWS UG Indonesia Meetup - AWS IoT Core
- 1. Getting Started with IoTon 16th April 2020 Albert Suwandhi Online Talk
- 2. Albert Suwandhi IT Infrastructure – Sinarmas Group IT Lecturer • STMIK IBBI – Medan • Universitas Pelita Harapan - Medan Bachelor Degree – Electrical Engineering - USU Master Degree – Information Technology – Binus Certifications : • Cisco CCNA and CCNP - Enterprise • Mikrotik MTCRE and MTCTCE • AWS Certified Solution Architect – Associate • Azure Fundamentals GitHub : https://github.com/albertsuwandhi LinkedIn : https://id.linkedin.com/in/albertsuwandhi SlideShare : https://www.slideshare.net/albertsuwandhi Telegram : @albertsuwandhi
- 3. ABCDI : AI, Blockchain, Cloud, Data, IoT
- 4. Agenda • IoT Concepts and Architecture • IoT Services on AWS • Demo : • Create and Connect Things to AWS Cloud • Ingest Sensor Data to Cloud • Trigger actions based on telemetry data • Visualization • Device Shadow (Tentative)
- 5. IoT Concepts and Architecture
- 8. IoT Definition • “The Internet of Things (IoT) is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment” - Gartner • “The Internet of things (IoT) is the inter-networking of physical devices, vehicles (also referred to as "connected devices" and "smart devices"), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data” - Wikipedia
- 11. Smart Devices 20B IoT Devices Smart City 250 PB per day Connected Factory 1 PB per day Stadium 200 TB per game People 1.5 GB per day Smart Home 50 GB per day Autonomous Vehicle 5 TB per day Smart Office 150 GB per day 1 million/hour new devices coming online by 2020
- 13. IoT Use Case - SmarTernak Product by : DycodeX – Indonesia
- 14. IoT Use Case – Predictive Maintenance • Industrial IoT - Predictive Maintenance • Measure Vibration, Temperature, RPM, etc on machine • Detect Anomalies and Trigger Alert • Powered by Machine Learning - Edge AI • Energy Harvesting - Heat Product by : Yokogawa - Japan
- 16. Nobody just buys IoT technology… They seek for business outcomes!!
- 17. What Businesses are asking for??
- 18. IoT Architecture * Microsoft’s Definition of IoT
- 20. Illustration by Andri Yadi
- 21. ML at Edge: Train in the cloud, infer at the edge Illustration by Andri Yadi
- 22. IoT projects can be quite complex
- 23. How can help to simplify IoT Let See
- 27. AWS IoT Core AWS IoT Core is a managed service that lets connected devices easily and securely interact with cloud applications and other devices
- 28. Why AWS IoT Core? • AWS ecosystem with easy access to services like Kinesis, S3, ML,Lambda, DynamoDB, CloudWatch, CloudTrail, Elasticsearch, etc. • Serverless: Scalable to massive amount of devices without having to manage any infrastructure • Security: End-to-end encryption. You can't authenticate unless you have the right certificate. Policies are used for authorization. In Transit data uses TLS 1.2
- 29. How AWS IoT Core Works
- 30. AWS IoT Core acts as Message Broker MQTT • OASIS standard protocol (v3.1.1) • Lightweight, Pub/Sub protocol for connected devices • Used on oil rigs, connected trucks, health care. • Suitable for Low Bandwidth and High Latency condition • Needs a broker MQTT vs HTTPS • 93x faster throughput • 11.89x less battery to send • 170.9x less battery to receive • 50% less power to keep connected • 8x less network overhead Source: http://stephendnicholas.com/archives/1217
- 32. AWS IoT Core Protocol Support
- 34. Authorization
- 35. In Summary : Authentication and Authorization Every IoT Device needs “certificates” and “policies” in order to give them the right accesses and permissions. Certificates protect the transmission of data between your devices and AWS IoT. Policies enable devices or users to access specific resources and actions. This is to prevent any connections that are unnecessary, as well as improve security all around.
- 36. Demo Creating Thing and Connect to AWS IoT Core Ingest Sensor Data to Cloud
- 37. Amazon S3 output bucket IoT Action Certificate + Policy AWS SNS AWS Lambda AWS Lambda IoT Rule AWS EC2 Amazon CloudWatch Metric AWS CLOUD MQTT over TLS SELECT * FROM '$aws/things/ESP32-IoT/Sensor' SELECT * FROM '$aws/things/ESP32-IoT/Sensor' SELECT * FROM '$aws/things/ESP32-IoT/Sensor' SELECT ADC FROM '$aws/things/ESP32-IoT/Sensor' WHERE ADC>3600 Device Shadow AWS IoT Core DEMO ARCHITECTURE Telegram Bot Users $aws/things/ESP32-IoT/Sensor $aws/things/ESP32-IoT/shadow/update/delta $aws/things/ESP32-IoT/shadow/update $aws/things/ESP32-IoT/Output NODE – ESP32 Illustration by Albert Suwandhi
- 38. Acting on Data – Anything Wrong?
- 39. AWS IoT Rule Engine
- 41. AWS IoT Rule Engine • Connect IoT to other services • Transform message content : SELECT • Enrich message with contextual data : FROM • Filter erroneous or unnecessary messages : WHERE • Route based on content : ACTION • Decouples device software and cloud applications
- 42. Example – Sending Events to AWS Services
- 44. Demo Trigger actions based on telemetry data Visualization
- 45. Additional Slides AWS Device Shadow
- 46. Problem - Devices with Unreliable Networks
- 47. Digital Twins Concepts • Applications can interact with the digital counterpart of the device which is always in sync with the state of the physical device. When an application sends the command, it flows via the digital twin, which tracks the delta between the desired state set by the application and the last reported state of the device. • The IoT platform will ensure that the state of the physical device matches its corresponding digital twin. Even if the device is offline when the command is sent from the application, the platform will sync the state when the device connects the next time. This functionality reduces the burden on the developers by providing an intelligent state machine for all the connected devices.
- 49. AWS Digital Twins - AWS IoT Device Shadow
- 50. AWS IoT Device Shadow • Device Shadow is the virtual representation of our physical Device. As per AWS IoT Platform is concerned, we create a Thing in AWS IoT Console. Things are nothing but the Devices, those are connected to AWS IoT Platform. • It is a JSON document that is used to store and access current state information for a device. This service maintains a shadow (virtual Device State) for each and every device you connect to AWS IoT Platform. We can use the shadow document to get the current state of the device and based on that state, we can take action on the device, we can also monitor and control our Devices based on our needs over (MQTT or HTTP) protocols, regardless of whether the device is connected to the Internet. Each device’s shadow is uniquely identified by the name of the corresponding Thing(Device associated with). • Device Shadow service acts as a communication medium between your device and application. As this service provides different MQTT topics (or) RESTful API to interact with device. Using these MQTT topics (or) RESTful API we can also get, update and delete Shadow Document. • Use the AWS IoT Shadow in situations where a command persists for later use, even if the device is currently offline.
- 51. AWS Device Shadow Flows
- 52. AWS IoT Shadow MQTT Topics
- 53. AWS Shadow Delta - Example
- 54. AWS Shadow Delta - Example
- 55. AWS Shadow Delta - Example
- 56. What’s Next? • Explore edge computing : AWS Greengrass • Add Analytics and Machine Learning • etc