Planning an architecture for the. Internet of Things. IoT Expo, Nov 5, Sumit Sharma Director, API Solutions.
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1 Planning an architecture for the Internet of Things IoT Expo, Nov 5, 2014 Sumit Sharma Director, API Solutions
2 Leading connectivity platform for enterprise applications, mobile and IoT 3,500+ on-premise enterprise deployments 25,000+ cloud deployments 50% of the Global 500 HQ in San Francisco with offices in New York, Atlanta, London, Rotterdam, Munich, Sydney, Singapore, Hong Kong, Buenos Aires, Rio De Janiero 2
3 MuleSoft s mission To connect the world s applications, data and devices
4 MuleSoft s mission To connect the world s applications, data and devices
5 Agenda for today s session Business drivers of IoT Architectural Patterns in an IoT Stack All contents Copyright 2014, MuleSoft Inc. 5
6 Why plan for an IoT stack? MuleSoft Confidential - please do not share/distribute 6
7 Everything needs to connect 50,000,000,000+ connected devices 7 All contents Copyright 2013, MuleSoft Inc. 7
8 Connecting the physical world to the Web Environmental Connected Car Social & Local Building Management Identity & Tracking Home Automation Personalized Insurance Logistics & Shipping Healthcare Farming Energy Grid 8 All contents Copyright 2013, MuleSoft Inc. 8
9 Architectural patterns in an IoT stack MuleSoft Confidential - please do not share/distribute 9
10 At a high level this is the general IoT stack App Data Processing and Platform Edge Thing / Device
11 Breaking down the IoT stack MuleSoft Confidential - please do not share/distribute 11
12 The IoT Stack Websites Industry specific ( e.g., appliances, touch console etc.) Mobile apps Mobile apaas Application PaaS ( apaas ) API Design / Build API runtime management Data Management and Intelligence ipaas Middleware Device Hub/Gateway Device Management Sensors Hardware / Firmware
13 IoT Stack: Devices / Things Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 13
14 Devices: Many chipsets / platforms to choose from. ( Becoming more and more vertically integrated with software stacks).
15 Big focus on prototyping: Lots of tools to cater to the makers and tinkerers Integrated SDKs to speed development, testing and optimization.
16 Dragonboard based on Snapdragon processor ( many more like this from many vendors )
17 Sensors: Smart or Simple Smart Sensors Onboarding Receive Notifications Receive Config Send Data / Events Simple Sensors
18 IoT Stack: Device Edge Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 18
19 IoT Stack: Device Edge Key charter is to establish and maintain a secure, robust, fault-tolerant connection between the cloud and the edge devices in order to: Collect and aggregate device data Manage the device Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 19
20 Typically a cloud based gateway at the edge
21 Reference capabilities for a gateway Enable scalable, real-time, dependable, highperformance and interoperable data and device management related exchanges between publishers and subscribers Connectivity Routing Software mgmt Control Events Registry Actuator Aggregation Transformation Provisioning
22 Device, and Device gateway sprawl is going to be a challenge Too many disparate ecosystems : too many gateways, hubs, protocols, apps.
23 Device, and Device gateway sprawl is going to be a challenge Need interoperability between devices/machines so they can all talk to each other.
24 Solution to the sprawl: A hub of all hubs
25 IoT Stack: Data management and intelligence Data Management and Intelligence Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 25
26 Capabilities required for Data Management and Intelligence Data collection, storage, and analysis of sensor data Run rules on data streams Trigger alerts Advanced analytics/machine learning Expose HTTP (REST) APIs Data, HTTP, connectivity Real time event processing Data enrichment Routing and Orchestration Pattern Discovery/Model retraining Driving Forces Identification Batch processing BigData solution connectivity Predictive Analysis
27 IoT Stack: API lifecycle tooling and platform API Design / Build API runtime management Data Management and Intelligence Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 27
28 API lifecycle tooling can be split between design time and runtime Rapidly design, deploy and publish APIs API Design / Build API runtime management
29 API lifecycle: Design time capabilities Rapidly design, deploy and publish APIs API Design / Build API runtime management API spec creation API mocking/modelli ng API design lifecycle Reusable API patterns Deployment automation
30 Outside In API development: What if we could whiteboard an API? Springboard for optimizing APX API Design / Build 30 l All contents Copyright 2014, MuleSoft Inc.
31 APX Design Lifecycle API Design / Build Mock up the API Publish interactive console Create Notebook use cases Receive developer feedback Modify API design as appropriate based on developer feedback. Continue to validate Iterate APX Design lifecycle Create and implement orchestration logic for backend connectivity Model API resource models API operations/methods Request/response payload/codes Identify process and biz reqs Create logical data model Translate into logical service/api groupings 31 l All contents Copyright 2014, MuleSoft Inc.
32 API lifecycle: Runtime capabilities Rapidly design, deploy and publish APIs API Design / Build API runtime management Rate limiting / Throttling API SLA management Custom policy engine Multi-tenant org / RBAC support Deployment automation API and data security
33 API runtime management API runtime management App Developer Make app.. Developer Portal Discover, understand, and sign-up to use API API Gateway Rate limit Throttle OAuth2 LDAP/AD auth IP whitelisting Transformations etc. Publish, Document APIs API API API All contents Copyright 2013, MuleSoft Inc. 33
34 IoT Stack: Application PaaS ( apaas ) Application PaaS ( apaas ) API Design / Build API runtime management Data Management and Intelligence Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 34
35 apaas capabilities Application PaaS ( apaas ) Hosted in the cloud Provides platform to build applications. OS/DB, Storage, Server, Network Routing, transform, orchestration services Design and Development tooling Web, Database, Application Server Management and analytics tooling Administrative portal
36 IoT Stack: End applications Websites Industry specific ( e.g., appliances, touch console etc.) Mobile apps Mobile apaas Application PaaS ( apaas ) API Design / Build API runtime management Data Management and Intelligence Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 36
37 IoT/IoE is a driver of mobile / tablet interfaces All contents Copyright 2013, MuleSoft Inc. 37
38 IoT Stack: ipaas integration middleware: Don t forget to integrate! ipaas middleware Websites Industry specific ( e.g., appliances, touch console etc.) Mobile apps Mobile apaas Application PaaS ( apaas ) API Design / Build API runtime management Data Management and Intelligence ipaas Middleware Device Hub/Gateway Device Management Sensors Hardware / Firmware All contents Copyright 2013, MuleSoft Inc. 38
39 ipaas Capabilities: Don t forget to integrate!
40 Summary
41 IoT Stack Websites Industry specific ( e.g., appliances, touch console etc.) Application PaaS ( apaas ) Mobile apps Mobile apaas ipaas middleware API Design / Build API runtime management Data Management Device Hub/Gateway Device Management Sensors All contents Copyright 2013, MuleSoft Inc. 41
42 One final thought: the stack as it exists today is also converging App Data Processing and Platform Edge Thing / Device
43 There are also scenarios where the middleware and edge have converged ( i.e., MuleSoft Anypoint Edge ) Apps App Data Processing and Platform Edge Thing / Device
44 And there are also scenarios where the app layer is directly connected to the Thing/Device layer ( i.e., embedded Android, Java, Javascript etc. ) Apps Data Processing and Platform Edge Thing / Device
45 Thank you! Questions?
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