AWS IOT Services Overview

AWS IOT Services Overview

• 1. Slide2 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark IoT on AWS Halil BAHADIR Manager, Solutions Architect AWS Turkey
• 2. AWS IoT customers solve problems in all sectors © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS IoT customers solve problems in all sectors
• 3. What customers are doing with AWS IoT © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Device fleet maintenance Energy efficiency monitoring Safeguard manufacturing facilities Payment, insurance and connected commerce Predictive maintenance Wellness and health solutions Connected buildings and city systems Productivity and process optimization What customers are doing with AWS IoT
• 4. IoT solutions are complex & multidimensional  © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Connect, communicate, secure Onboard, provision, manage Devices & sensors Connectivity & infrastructure Analyze, visualize, act Analytics & insights Engage, empower, delight Applications & services Transform, shift culture Change management IoT solutions are complex & multidimensional
• 5. What are the fundamentals of AWS IoT?  © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark What are the fundamentals of AWS IoT?
• 6. AWS IoT architecture © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Device software AWS IoT architecture How do I extract value from my IoT data? How can I control, manage, and secure my devices? How can I connect my devices and operate at the edge? Control services Data services
• 7. AWS IoT architecture © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS IoT architecture IoT Greengrass Amazon FreeRTOS AWS IoT Device SDK IoT Core IoT Device Management IoT Device Defender IoT Things Graph AWS IoT Device Tester IoT Analytics IoT SiteWise IoT Events Device software Control services Data services 2 1
• 8. IoT virtuous cycle © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark IoT virtuous cycle Intelligence and outcomes Device software Data services Control services
• 9. Slide1356 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Device software How can I securely connect constrained, microcontroller-based devices? ?
• 10. Amazon FreeRTOS © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Will it work on my chip? Does it have the functionality I need? How do I start? Where do I get it? Amazon FreeRTOS is a microcontroller operating system that extends the popular FreeRTOS kernel to enable devices to securely connect to AWS, while making them easy to manage, deploy, and update. Amazon FreeRTOS Device software EMBEDDED APPS FreeRTOS HW DRIVERS SECURTIY LIBRARIES CONNECTIVITY LIBRARIES OVER THA AIR (OTA) AGENT CLOUD & GREENGRASS LIBRARIES HELLO
• 11. Amazon FreeRTOS © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Local Connectivity Libraries Cloud Connectivity Libraries Security Connectivity Libraries OTA & Code Signing Amazon FreeRTOS Device software Communicate with AWS IoT Greengrass devices without a cloud connection Easily collect data and take actions on microcontroller- based devices Secure device data and connections Deploy security updates, bug fixes, and firmware updates to devices in the field
• 12. AWS IoT Greengrass © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Edge Cloud Law of Economics Law of Physics Law of the Land AWS IoT Greengrass AWS IoT Greengrass extends AWS IoT onto your devices, so that they can act locally on the data they generate, while still taking advantage of the cloud. Device software
• 13. How can I extend AWS cloud capabilities to the edge? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I extend AWS cloud capabilities to the edge? Device software
• 14. Slide1441 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Data and State Sync Security Over the Air Updates Connectors Operate devices offline & synchronize data when reconnected Local Actions Simplify device programming with AWS Lambda Mutual authentication & authorization between cloud and devices Easily update AWS IoT Greengrass Core Machine Learning Inference Perform ML Inference locally Local Resource Access AWS Lambda functions can access & use local resources of a given device Extend edge devices with connections to external services Local Messages and Triggers Enable device communication without a cloud connection Secrets Manager Deploy secrets to edge devices Device software AWS IoT Greengrass
• 15. How can I ensure my devices will work with AWS IoT services?  © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I ensure my devices will work with AWS IoT services? Device software
• 16. Slide449 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Download AWS IoT Device Tester from AWS IoT Greengrass and Amazon FreeRTOS product pages AWS IoT Device Tester is a test automation tool that lets you test Amazon FreeRTOS or AWS IoT Greengrass on your choice of devices. AWS IoT Device Tester for Amazon FreeRTOS Tests if the Amazon FreeRTOS cloud connectivity, OTA, and security libraries function correctly on top of microcontroller board device drivers AWS IoT Device Tester for AWS IoT Greengrass Tests if the combination of device’s CPU architecture, Linux kernel configuration, and drivers work with AWS IoT Greengrass How do I start? AWS IoT Device Tester
• 17. IoT virtuous cycle © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark IoT virtuous cycle Intelligence and outcomes Control services Data services Device software
• 18. Slide1343 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I connect my data securely, and handle the data they generate at scale? Control services
• 19. AWS IoT Core © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark To securely connect devices to the AWS cloud & other devices at scale To fully integrate with other AWS services to reason on top of the data (Analytics, Databases, AI, etc.) To route, process, and act upon data from connected devices AWS IoT Core is a managed service that lets connected devices easily and securely interact with cloud applications and other devices. To enable applications to interact with devices even when they are offline AWS IoT Core Control services
• 20. AWS IoT Core © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Device Gateway Rules Engine Message Broker Device Shadow Registry Identity Service AWS IoT Core Control services Manage authorization of devices & provision unique identities at scale Fully manage connectivity optimized for IoT workloads Define and catalog device for easy use by AWS services Understand and control the status of your device at any time Reliable and fast communication across your IoT fleet Ingest large amounts of IoT data at a low cost, pre- process it, & make it available to 10+ services for analytics, reporting, & visualization
• 21. How can I manage my growing number of connected devicesat scale? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I manage my growing number of connected devices at scale? Control services
• 22. AWS IoT Device Management © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Fast device onboarding at scale Real-time fleet indexing and search Monitoring and updating devices AWS IoT Device Management helps you onboard, organize, monitor, and remotely manage your growing number of connected devices. AWS IoT Device Management Control services
• 23. AWS IoT Device Management © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Batch Fleet Provisioning Real-time Fleet Index & Search Fine-Grained Device Logging & Monitoring Jobs AWS IoT Device Management Fast device onboarding and configuration with a few clicks Collect device logs to quickly identify and remediate problems Gain visibility into the health and status of your device fleet Digitally sign & push updates to devices over the air to improve functionality Control services
• 24. How do I ensure my connected devices stay secure? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How do I ensure my connected devices stay secure? Control services
• 25. AWS IoT Device Defender © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Audit device configurations, define and monitor device behavior Identify drifts in security settings and detect device anomalies Generate alerts Patch security vulnerabilities AWS IoT Device Defender is a fully managed IoT security service that enables you to secure your fleet of connected devices on an ongoing basis. AWS IoT Device Defender Control services
• 26. Slide429 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Audit Alerts Mitigate Detect Control services Validate IoT configuration is secure Detect anomalies in device behavior Know when & what to investigate Remediate potential issues AWS IoT Device Defender
• 27. How can I build IoT applications faster? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I build IoT applications faster? Control services
• 28. AWS IoT Things Graph © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS IoT Things Graph AWS IoT Things Graph helps you rapidly build IoT applications by combining devices and web services and defining the interactions between them with little to no code. Connect devices from different manufacturers Visually design applications by connecting devices and services Deploy and monitor at the edge so applications can run locally Control services
• 29. AWS IoT Things Graph © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Control services Models Deploy to AWS IoT Greengrass devices Multi-step Workflow Visual Drag & Drop Interface Automate processes Minimize the need to write code Easily work with devices Design in the cloud, run at the edge AWS IoT Things Graph C°
• 30. Slide419 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
• 31. IoT virtuous cycle © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark IoT virtuous cycle Control services Data services Device software Intelligence and outcomes
• 32. How do I generate value from my noisy IoT data? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How do I generate value from my noisy IoT data? 10101 10010 01010 01010 101001 101001 10101 10101 01010 10101 0101001010 01010 10101 1010101010 10101 10101 01010 10101 0101001010 01010 10101 1010101010 101001 101001 10101 10101 01010 10101 0101001010 01010 10101 1010101010 10101 10101 01010 10101 0101001010 01010 10101 1010101010 10101 10101 01010 10101 0101001010 01010 10101 1010101010 10101 10101 01010 10101 0101001010 01010 10101 1010101010 01010 101001 10101 10101 01010 10101 0101001010 01010 10101 1010101010 Data services
• 33. AWS IoT Analytics is a fully managed service that collects, pre-processes, enriches, stores, analyzes and visualizes IoT device data at scale. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS IoT Analytics is a fully managed service that collects, pre-processes, enriches, stores, analyzes and visualizes IoT device data at scale. AWS IoT Analytics Data services From raw sensor data to sophisticated IoT analytics
• 34. AWS IoT Analytics is a service that processes, enriches, stores, analyzes, and visualizes IoT data for manufacturers and enterprises.  © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Collect Analyze Process Store Visualize AWS IoT Analytics AWS IoT Analytics is a service that processes, enriches, stores, analyzes, and visualizes IoT data for manufacturers and enterprises. Data services Collect only the data you want to store & analyze Convert raw data to meaningful information Store device data in time-series data store for analysis Get deeper insight into the health & performance of assets Quickly visualize your IoT data sets
• 35. How can I liberate data that was once locked in industrial facilities? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I liberate data that was once locked in industrial facilities? 101011001010100101001010101010101011010001010 100101001010101010101011010110010101001010010 101010101010110100010101001010010101010101010 1101011001010100101001010 Data services 10 1001 011001 1010101 101011001010100101001010101010101011010001010 100101001010101010101011010110010101001010010 101010101010110100010101001010010101010101010 1101011001010100101001010 10101100101 01001010010 10101010101 01110011010 0 1010110010 1010010100 1010101010 101011 101011001 10 1001 011001 1010101 10101100101 01001010010 10101010101 01110011010 0 1010110010 1010010100 1010101010 101011 101011001 1010110010101001010010 1010101010101101000101 0100101001010101010101 0110101100101010010100 1010101010101011010001 0101001010010101010101 01011010 01010101010101011010
• 36. Slide1401 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Structure your data and specify performance metrics for your assets and processes Easily browse equipment and process data, build data views to identify inefficiencies, diagnose issues, and improve cross-facility processes AWS IoT SiteWise collects data from the plant floor with a local gateway, structures & labels that data, and generates real time KPIs & metrics to make better data-driven decisions. See your data flowing in minutes without writing code, just connect and configure your gateway 1010110 01010 10 0101001 01010 10 1010101 1010110 01010 10 0101001 01010 10 Data services 01010101 AWS IoT SiteWise 1010110 01010 10 0101001 01010 10 1010101 1010101010101010 1010101010101010 1010101010101010 1010101010101010 101011010 01010 10101 0101001010 01010 10101 1010101010 1010101010 1010101010 1010110 01010 10 0101001 0101010 1010110 01010 10 0101001 0101010 1010110 01010 10 0101001 0101010
• 37. Slide1402 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 1010110 0101010 0101001 Customizable Views Data Management and Modeling Tools Remotely Manageable Edge Gateway Data services Access data from local databases on the factory floor Collect data consistently from different sources Visually identify equipment or process issues 1010110 0101010 0101001 AWS IoT SiteWise
• 38. How can I detect changes across complex industrial systems? © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How can I detect changes across complex industrial systems? Data services !
• 39. Slide1408 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Build simple logic to evaluate incoming telemetry data to detect events in equipment or a process Detect events from data across thousands of sensors and other sources Trigger responses to optimize operations AWS IoT Events allow you to continuously monitor data from your equipment and fleets of devices for changes in operation and to trigger the appropriate response when events occur Data services ! AWS IoT Events
• 40. Slide1439 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Event Detector Models Scalability Integration with analytics tools & other AWS services Data services Reduce the cost of device maintenance Uncover new insights Easily automate operations AWS IoT Events
• 41. IoT virtuous cycle © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS IoT Events IoT virtuous cycle AWS IoT Analytics AWS IoT SiteWise Intelligence and outcomes AWS IoT Device Management AWS IoT Things Graph AWS IoT Core AWS IoT Device Defender AWS IoT Device SDK Amazon FreeRTOS AWS IoT Device Tester AWS IoT Greengrass Data services 2 1 Control services Device software
• 42. Thank you! © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Thank you!
• 43. Annex © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Annex
• 44. Slide3 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Amazon S3 Bucket MQTT Endpoints Gateway/PLC Cloud Enterprise Applications AWS IoT Core AWS IoT Greengrass Amazon FreeRTOS IoT SDK AWS IoT Device Management AWS IoT Analytics MQTT UDP/IP IoT Partners Cert WiFi All AWS Data Pipelines Local Resources IoT with AWS AWS IoT Device Defender Edge ARM, Broadcom, Digi, Expressif, Intel, MediaTek, Microchip, NXP, ST, TI, Qualcomm, … Gateway Adlink Technology, Advantech, MachineShop, Samsung, Technicolor, … MQTT Platform Ayala, Bright Wolf, BSquare, C3IoT, Mnubo, Salesforce, Splunk, … Connectivity Amdocs, Asavie, AT&T, Eseye, Soracom, TATA Communications, Telus, Verizon, … sdfsdf Accenture, Aricent, ClearScale, CTP, Luxoft, Mobiquity, solstice, Storm Reply, Sturdy Networks, TCS, TrekIO, … Things Amazon FreeRTOS Integrated Client BLE updated 2018-Oct-22 NDA Snowball Edge AWS IoT SiteWise 3rd Party AWS IoT Events Custom Gateway AWS Lambda Amazon Kinesis Amazon Redshift Amazon SageMaker Device shadow Rules Engine Certificate Authority Device Shadow Lambda Functions Message Router Long-range Comms Local Resources AWS Enterprise Users IoT Users Edge Users Over-the-air (OTA) Updates Analytics Data Store Templated Reports Batch Fleet Provisioning Real-time Fleet Index & Search Corp Apps Ad-hoc & In- depth Analysis Risk Mitigation Detection Profiles Alerts Scheduled or Ad-hoc Audit OTA Message Broker OTA Timeseries On- premises Historian Secret Manager Event Detection OPC Server Local Comms Amazon EMR Amazon QuickSight Amazon S3 AWS Things Graph
• 45. Slide5 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Problem Nokia desired to analyze video streams at the edge and send data to remote centers only when anomalies are detected. Solution The solution is the deployment of AWS Greengrass on Nokia Multi-access Edge Computing platform and combining it with Nokia private mobile network solutions. This joint solution makes it possible for the oil industry to pair real time drilling data with production data of nearby wells. Impact Due to the cost of bandwidth, this allows Nokia to optimize data sent to other wells and to the cloud based on rules and alerts set up on the locally-processed data.
• 46. Slide28 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Problem Enel was looking to manage network distribution at the edge. They were seeking to collect sensor and meter data over 500,000 cabins distributed across the territory to measure energy consumption, monitor network behavior in real time, and track effects of seismic waves and earthquakes. Solution Enel implemented AWS Greengrass to collect, convey, and process the largest amount of data to trigger actions, govern activities, respond to anomalies, and promote new services. Impact The project is the widest so far in Europe and provides Enel an opportunity to leverage data to design a better future.
• 47. Slide139 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Modjoul is a data invention company for wearable technology that is focused on keeping employees safe. Modjoul is using AWS IoT Analytics to help keep industrial workers safe, whether they’re working in or out of a vehicle. In an eight-hour shift, they collect data 28,800 times per day from their connected activity tracker worn by each of their employees that includes 40 metrics including heart rate and activity level. With AWS IoT Analytics, they not only analyze all that health data, but also enrich it with location and environmental data, such as outdoor temperature, to get accurate analytics that prevent injuries and save lives. Problem Healthcare poses a number of challenges when connecting devices including patient privacy, industry standards and protocols, and the management of personal and population data. Solution The Philips HealthSuite digital platform (HSDP) is built to face the challenges of connecting and supporting healthcare devices. HSDP Connect Services leverage AWS IoT services to manage, update, & remotely monitor data from smart devices. Impact HSDP Connect Services currently enable over 11 million device connectivity solutions. By using AWS IoT services, HSDP Connect is reducing connectivity costs by 46%.
• 48. Slide411 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Problem Pentair provides water filtration systems equipped with sensors to fish farms and large industrial brewing customers. Most of their industrial customers are located in geographies with unreliable internet connectivity. They need to send data from sensors and devices to the cloud while continuously maintaining connection which is challenging in remote areas. Solution From Pentair’s water filtration systems, data is sent to AWS IoT Core. When connectivity is limited, AWS Greengrass provides Pentair with a local connection so data is never lost. Impact Pentair can make decisions in near real-time that impact the health of its devices but also the health of the fish which in turn, results in better yields, prevents the spread of disease and lowers cost of operations.
• 49. Slide184 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Problem As Konecranes specializes in the manufacturing and service of cranes globally, they discovered that when they needed to make updates to their machinery it meant downtime and local presence onsite. Solution Using Greengrass has enabled them to deploy updates using cloud models that continually get smarter over time as they sync with the local environments. Impact This allows them to simplify their current crane architecture and make it possible to update calculations to the cranes in a secure way even after the installation has taken place.
• 50. Slide185 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Problem Stanley Black and Decker finds it unsustainable to ingest, transmit, store, query and analyze all data generated at the edge and more specifically on construction sites or rural areas with constrained network resources. Solution AWS Greengrass enables Stanley Black and Decker to monitor and filter data at the edge of the network enabling applications to send asset health and predict any mechanical failures before they occur. Edge-based applications built on Greengrass will help detect and compare vibrations emitted by high value tools to historical signatures that indicate everything from normal operations to imminent failure. Impact Instead of trying to use all the data Stanley Black and Decker will utilize Greengrass to focus on the right data. Applications include remote troubleshooting of hydraulic assets by technicians, maintenance interval tracking, fuel savings, and alerts.
• 51. Slide186 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Problem Wärtsilä needed to accurately predict, when the marine engines they manufactured needed to get serviced. Understanding and predicting the service schedule is vital for Wärtsilä to increase their service and parts revenue. Solution Accenture worked with AWS account SAs, AoD SAs, and Salesforce SAs to architect an IoT solution using Salesforce and AWS IoT Core to collect data and build predictive models. The solution developed is scalable and extensible beyond just this use case, as Wärtsilä has 14,000 ships with 35,000 engines installed. There are great possibilities for sensor driven IoT use cases. Impact The entire solution should result in an increase in parts/service sales for Wärtsilä and higher customer retention.