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IOT Cloud Solutions Agenda
- 2. Agenda What is IOT IOT Market & Share IOT Devices What is Cloud Computing Why the Cloud for IOT Azure IOT Solutions Security with Cloud Solutions © 2019 Cognizant2
- 3. © 2019 Cognizant3 What is IoT? Internet of Things (IoT) is a network of devices which can sense, accumulate and transfer data over the internet without any human intervention Source – Figures based on study conducted by Cisco, HP The Internet of Things” (IoT) was coined by Kevin Ashton in a presentation to Proctor & Gamble in 1999
- 4. IoT Use Case IOT Use case Smart Parking Consumer Agriculture Logistic Environment Monitoring Smart Cities Utilities © 2019 Cognizant4 IoT has already proven its versatility in various Industries like Agriculture, Logistic, Healthcare, Consumer, Energy, Smart Cities, Smart Homes and Connected cars.
- 5. IOT Market © 2019 Cognizant5
- 6. IOT -Devices © 2019 Cognizant6 IoT devices are designed to respond to sensor activity that the device is being used for and communicate to server through network interfaces.
- 7. Fun Time Who gave IOT terminology? What is Expected Market size by 2023. Name 3 industries use cases © 2019 Cognizant7
- 8. Requirements for IOT © 2019 Cognizant8
- 9. Challenges for IOT © 2019 Cognizant9 Scalability Security Connectivity
- 10. Cloud Computing © 2019 Cognizant10 IaaS ServicesLocations Private Cloud Hybrid Cloud Public Cloud PaaS SaaS Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user.
- 11. Why the Cloud Scalability Performance Security Reliability Speed Cost © 2019 Cognizant11
- 12. Less Worries Focus on functionality Let others take care of: • Resource management • Security • Environments (staging, production) • High availability, scalability, load balancing • Fault tolerance • OS - installation, licensing, updates, patches • Network • Maintenance 12
- 13. IOT Cloud Architecture © 2019 Cognizant13
- 15. IOT –Claudification Steps © 2019 Cognizant15
- 16. Azure IoT Hub Stream Analytics Table & Blob Storage Presentation & Connectivity Device connectivity monitoring Device Authentication and Security Scale millions of the device IoT Device/ Edge Device IoT Device & Cloud Patterns
- 17. Steps for Azure IoT setup 1. Step 1: Set up Your PC- Windows-10 , VisualStudio 2015, IoT core Project Template 2. Set up Raspberry Pi2/3-Windows IoT Core Tool, Connect PC to Raspberry on the network 3. Step 3: Set Up Azure IoT Hub- Iot Hub, Create and Save Device Registry, security policies 4. Step 4: Create an UWP app for Raspberry Pi 2 Which will Send Sensor Data to IoT Hub and Receive Alerts from IoT Hub- Code for Receiving and sending the sensor data and deploy on Raspberry Pi. 5. Step 5: Set Up Azure Stream Analytics to filter IoT Hub data and send it to Event Hub- Create Stream analytics Jobs in Azure and set up the data streaming from IoT hub and data output format. 6. Step 6: Sending Alerts back to device through IoT Hub when the Temperature is High- Send the data to IoT hub using Cloud Service, publish the cloud service. 7. Step 7: Sending the data to Presentation Layer: UI application can use this cloud service to show the data. © 2019 Cognizant17
- 18. Data Processing © 2019 Cognizant18
- 19. Microsoft Azure IoT services Devices Connectivity Data Storage Data Analytics Presentation & Action Event Hubs SQL Database Machine Learning App Service Service Bus Table/Blob Storage Stream Analytics Power BI External Data Sources DocumentDB HDInsight Notification Hubs External Data Sources Data Factory Mobile Services BizTalk Services { }
- 20. IOT Cloud Platforms © 2019 Cognizant20 Azure IoT AWS IoT Google Cloud Platform IoT SaaS Azure IoT central Android Things Console IoT PaaS Azure IoT Solution Accelerator AWS IoT Core Cloud IoT Core IOT Services Azure IoT Hub Azure IoT Edge GreenGrass Core Cloud IoT Core SDK’s Device SDK’s Service SDK’s AWS IoT Device SDK Weave SDK Android Things SDK Messaging Support Https, MQTT, WebSocket Https, MQTT, WebSocket Https, MQTT, gRPC Embedded OS Window 10 IoT Amazon FreeRTOS Android Things
- 21. Fun Time Name 3 benefits of IOT Cloud? Name any 2 data storage solutions? Benefits of IOT hub? © 2019 Cognizant21
- 23. © 2019 Cognizant23 IoT Apps Data flow & Vulnerabilities Courtesy: Pubnub
- 24. Azure IoT Security Device’s Unique unforgeable cryptographic key. Private key stored in hardware protected wall, inaccessible to software. Security is defined on each layer and Multiple mitigation plan for each threat. Signed Certificates for device identity and authenticity. Regular automated software upgrade. Real time failure reporting. Hardware enforced barrier between software component © 2019 Cognizant24
- 25. Security by Design Security Lifecycle Management Device Layer Connectivity IoT Platform Data Layer End User Touch Points IoT Layers Secure • Physical Inspection • Device/HW Assessment • Firmware & Software Infrastructure setup and consulting eSIM Solutions • Ethernet/WiFi • Communication and Protocols validations • Cloud Testing • Infra Testing • Platform Testing • Data validation • Storage level • Transport level • Secure Code review • API’s Assessment • DAST Third-Party Solutions Security Audits Data encryption Secured Cloud © 2019 Cognizant25
- 28. Some Demo Example Ref: https://www.hackster.io/Kishore10211/applying-real-time-analytics-on-iot-data- azure-iot-hub-d5f904 https://microsoft.github.io/techcasestudies/iot/azure%20app%20service/2017/09/0 1/ABUS.html https://github.com/Azure/azure-iot-pcs-remote-monitoring-java © 2019 Cognizant28
- 29. IoT Capability IoT Hub Even Hub Device to Cloud Messaging Yes Yes Cloud-to-device messaging Yes No Protocols: HTTPS, AMQP, AMQP over webSockets Yes Yes Protocols: MQTT, MQTT over webSockets Yes No Per-device identity Yes No Device Provisioning Service Yes No IoT Edge Yes No IOT Hub & Event Hubs
Editor's Notes
- Scenario #1: IoT in your home Imagine you wake up at 7am every day to go to work. Your alarm clock does the job of waking you just fine. That is, until something goes wrong. Your train’s cancelled and you have to drive to work instead. The only problem is that it takes longer to drive, and you would have needed to get up at 6.45am to avoid being late. Oh, and it’s pouring with rain, so you’ll need to drive slower than usual. A connected or IoT-enabled alarm clock would reset itself based on all these factors, to ensure you got to work on time. It could recognize that your usual train is cancelled, calculate the driving distance and travel time for your alternative route to work, check the weather and factor in slower travelling speed because of heavy rain, and calculate when it needs to wake you up so you’re not late. If it’s super-smart, if might even sync with your IoT-enabled coffee maker, to ensure your morning caffeine’s ready to go when you get up. Scenario #2: IoT in transport Having been woken by your smart alarm, you’re now driving to work. On comes the engine light. You’d rather not head straight to the garage, but what if it’s something urgent? In a connected car, the sensor that triggered the check engine light would communicate with others in the car. A component called the diagnostic bus collects data from these sensors and passes it to a gateway in the car, which sends the most relevant information to the manufacturer’s platform. The manufacturer can use data from the car to offer you an appointment to get the part fixed, send you directions to the nearest dealer, and make sure the correct replacement part is ordered so it’s ready for you when you show up.
- IoT devices are designed to respond to sensor activity that the device is being used for, like a glass break sensor for instance. The heart of cloud platform is uses of open source board like Raspberry Pi, Intel Galileop & Beaglebone Black and now major breakthrough in IOT came with eSIM. These platform works as interface between Device and Cloud,
- Scale-# devices >> # users, and growing fast-Volume of data (and network traffic)-P ce Innovation pressure: analysis, command and control, cost Skill pressure: data science, new platforms Environment- IT/OT collaboration- Security and privacy threats -Emerging standards-New competitors
- Public cloud-Public clouds are owned and operated by a third-party cloud service providers, which deliver their computing resources, like servers and storage, over the Internet. Private cloud-A private cloud refers to cloud computing resources used exclusively by a single business or organization. A private cloud can be physically located on the company’s on-site datacenter. Some companies also pay third-party service providers to host their private cloud. A private cloud is one in which the services and infrastructure are maintained on a private network. Hybrid cloud-Hybrid clouds combine public and private clouds, bound together by technology that allows data and applications to be shared between them. By allowing data and applications to move between private and public clouds, a hybrid cloud gives your business greater flexibility, more deployment options, and helps optimize your existing infrastructure, security, and compliance. Infrastructure as a service (IaaS)-The most basic category of cloud computing services. With IaaS, you rent IT infrastructure—servers and virtual machines (VMs), storage, networks, operating systems—from a cloud provider on a pay-as-you-go basis Platform as a service (PaaS)-Platform as a service refers to cloud computing services that supply an on-demand environment for developing, testing, delivering, and managing software applications. PaaS is designed to make it easier for developers to quickly create web or mobile apps, without worrying about setting up or managing the underlying infrastructure of servers, storage, network, and databases needed for development. Serverless computing-Overlapping with PaaS, serverless computing focuses on building app functionality without spending time continually managing the servers and infrastructure required to do so. The cloud provider handles the setup, capacity planning, and server management for you. Serverless architectures are highly scalable and event-driven, only using resources when a specific function or trigger occurs. Software as a service (SaaS)-Software as a service is a method for delivering software applications over the Internet, on demand and typically on a subscription basis. With SaaS, cloud providers host and manage the software application and underlying infrastructure, and handle any maintenance, like software upgrades and security patching. Users connect to the application over the Internet, usually with a web browser on their phone, tablet, or PC.
- Scale-The benefits of cloud computing services include the ability to scale elastically. In cloud speak, that means delivering the right amount of IT resources—for example, more or less computing power, storage, bandwidth—right when they’re needed, and from the right geographic location. Performance-The biggest cloud computing services run on a worldwide network of secure datacenters, which are regularly upgraded to the latest generation of fast and efficient computing hardware. This offers several benefits over a single corporate datacenter, including reduced network latency for applications and greater economies of scale. Security-Many cloud providers offer a broad set of policies, technologies, and controls that strengthen your security posture overall, helping protect your data, apps, and infrastructure from potential threats. Reliability-Cloud computing makes data backup, disaster recovery, and business continuity easier and less expensive because data can be mirrored at multiple redundant sites on the cloud provider’s network. Speed-Most cloud computing services are provided self service and on demand, so even vast amounts of computing resources can be provisioned in minutes, typically with just a few mouse clicks, giving businesses a lot of flexibility and taking the pressure off capacity planning. Cost-Cloud computing eliminates the capital expense of buying hardware and software and setting up and running on-site datacenters—the racks of servers, the round-the-clock electricity for power and cooling, and the IT experts for managing the infrastructure. It adds up fast.
- Aspects of the architecture include: • The user layer is independent of any specific network domain. It may be in or outside any specific domain. • The proximity network domain has networking capabilities that typically extend the public network domain. The devices (including sensor/actuator, firmware and management agent) and the physical entity are part of the proximity network domain. The devices communicate for both data flow and control flow either via an IoT Gateway and edge services or directly over the public network via edge services. • The public network and enterprise network domains contain data sources that feed the entire architecture. Data sources include traditional systems of record from the enterprise as well as new sources from Internet of Things (IoT). The public network includes communication with peer clouds. • The provider cloud captures data from devices, peer cloud services and other data sources (for example Weather services). It can use integration technologies or stream processing to transform, filter and analyse this data in real time and it can store the data into repositories where further analytics can be performed. This processing, which can be augmented with the use of Cognitive and Predictive analytics, is used to generate Actionable Insights. These insights are used by users and enterprise applications and can also be used to trigger actions to be performed by IoT Actuators. All of this needs to be done in a secure and governed environment. • Results are delivered to users and applications using transformation and connectivity components that provide secure messaging and translations to and from systems of engagement, enterprise data, and enterprise applications.
- Stage 1 (Sensors/Actuators): A thing in the context of “Internet of Things”, should be equipped with sensors and actuators thus giving the ability to emit, accept and process signals. Stage 2 (Data Acquisition Systems): The data from the sensors starts in analogue form which needs to be aggregated and converted into digital streams for further processing. Data acquisition systems perform these data aggregation and conversion functions. Stage 3 (Edge Analytics): Once IoT data has been digitized and aggregated, it may require further processing before it enters the data center, this is where Edge Analytics comes in. Stage 4 (Cloud Analytics): Data that needs more in-depth processing gets forwarded to physical data centers or cloud-based systems
- None of systems is hack proof, even Google and Facebook are not. Respective proper security related measurement's should be established timely for any IoT implementation. Different vulnerabilities can lead to serious consensuses where attacker can take over control, steal information or disrupt services of many devices at the same time. Some one could take control of your refrigerator for example, which is quite dramatic event.
- To prevent those type of attacks, it is important to be on top of latest security solutions. In IoT it can be sliced in number of categories or layers. Device layer, Connectivity, IoT Platform, Data Layer, End user devices. Some preventive measurements are provided by design, some can be managed. Proper security controls can be also enabled by introducing solutions secured by their design for example part of eSIM solution has built in security. Actually, IoT success was depending on 2 major factors, one is security which we just talked about, and connectivity(where 5G going to bring a boost). IoT was struggling on security aspect until eSIM was introduced to market and telco.