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Guy Vinograd, CEO
Device to IoT Solution
The Blueprint
 Million-scale users, 10000s devices
◦ AWS partner
 IoT clouds for device vendors
◦ Device vendors - focus on your core
◦ Customers - global $Bn companies to start-ups
About Me and Softimize
REST
The Components of an IoT Service
HTTP | MQTT | CoAP | XMPP
IoT
Backend Service
GW
 Cloud & Apps - today
 Gateway
◦ Mobile
◦ Dedicated
 RF
◦ BLE
◦ ZigBee
◦ Proprietary
 Sensors
IoT Best Practices – Call for Proposals
 No vendor lock
◦ Code ownership
◦ Cloud portability
 Cloud-native
◦ Minimal monthly bill (tenth!)
◦ Minimal devops
◦ Max security & compliance
◦ Max scalability & availability
IoT Cloud Best Practices - Basics
PaaS Platform In-house R&D
 Reasonable time-to-market
 Low investment
High OPEX
Vendor Lock
Long time-to-market
High investment
 Reasonable OPEX
 Exact Fit
Immediate Suspects for Building IoT Clouds
• >360 PaaS
• Unfit
database/API/deployment
• Dead (Parse.com)
• Not your IP
• >$10 / device / year
• Needs to master
• IoT
• SaaS
• Web / Mobile Apps
• Cloud
• Security & Privacy
• User & Product Analytics
• …
Security Multi Tenant DB
Data Streaming Vendor Services
Management
Enter TBBTM – A Great Open IoT Platform
Push notificationsDevice Interaction
Access Control – laas, SaaS
Vendor and cloud provider protection
Site management – Multi device
Licensing – per Tenant. Trial license
Bulk versioned FW updates
Complex event processing
Real-time, sub second latency
Users | Devices and hierarchies
Encryption, Tenant isolation
Audit
Analytics – Failures, Usage patterns
Prediction – Churn, Upsell
Discover & Config – w/o wifi | Real time streaming | FW update
Security – Encrypt, Auth | Reduce energy & bandwidth
On Premise
MQTT, HTTP
Built for Clouds
Multi Cloud
Abstraction Layers for managed services
NO DevOps-hungry open sources
Sensor Hub
K
i
n
e
s
i
s
Everything
DynamoDB
S3 or EFS
Session Files
Cloud Front
SQS
Agg
Trigger
Algo Agg
SQS
Agg
Ready
S3
Agg Out
Hub Logs
S3
Agg In
Auto Scaling
Auto Scaling
S3
DB
Backups
Redshift
Any SQL
BI Tool
Session Cache
RT Algo
AWS
IOT
MQTT
TBBTM Data Streaming – Zero DevOps
IoT Design Dilemmas
 Cloud – the ideal
◦ Protects IP
◦ Cheaper
◦ High availability/durability
◦ ..
 GW ("fog") – the reality
◦ Offline (rules, storage)
◦ True real time
◦ Data BW is large
#1 – Where is the Logic & Data?
 Temporal Stream Compression
#2 – How to Reduce Energy & Bandwidth?
 Protect
◦ Mutual device-cloud authentication
◦ x.509 certificates
◦ Encrypt sensitive data
◦ Key management
 Backup
 Traceability
 Voluntary compliance – ISO 27001
 AWS? Use HIPAA-Eligible, KMS, Cloud Trail
#3 – How to Secure the Solution?
Guy Vinograd
guy@softimize.co
Developing a Cloud-Native IoT Service?
Use

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Slide share device to iot solution – a blueprint

  • 1. Guy Vinograd, CEO Device to IoT Solution The Blueprint
  • 2.  Million-scale users, 10000s devices ◦ AWS partner  IoT clouds for device vendors ◦ Device vendors - focus on your core ◦ Customers - global $Bn companies to start-ups About Me and Softimize
  • 3. REST The Components of an IoT Service HTTP | MQTT | CoAP | XMPP IoT Backend Service GW
  • 4.  Cloud & Apps - today  Gateway ◦ Mobile ◦ Dedicated  RF ◦ BLE ◦ ZigBee ◦ Proprietary  Sensors IoT Best Practices – Call for Proposals
  • 5.  No vendor lock ◦ Code ownership ◦ Cloud portability  Cloud-native ◦ Minimal monthly bill (tenth!) ◦ Minimal devops ◦ Max security & compliance ◦ Max scalability & availability IoT Cloud Best Practices - Basics
  • 6. PaaS Platform In-house R&D  Reasonable time-to-market  Low investment High OPEX Vendor Lock Long time-to-market High investment  Reasonable OPEX  Exact Fit Immediate Suspects for Building IoT Clouds • >360 PaaS • Unfit database/API/deployment • Dead (Parse.com) • Not your IP • >$10 / device / year • Needs to master • IoT • SaaS • Web / Mobile Apps • Cloud • Security & Privacy • User & Product Analytics • …
  • 7. Security Multi Tenant DB Data Streaming Vendor Services Management Enter TBBTM – A Great Open IoT Platform Push notificationsDevice Interaction Access Control – laas, SaaS Vendor and cloud provider protection Site management – Multi device Licensing – per Tenant. Trial license Bulk versioned FW updates Complex event processing Real-time, sub second latency Users | Devices and hierarchies Encryption, Tenant isolation Audit Analytics – Failures, Usage patterns Prediction – Churn, Upsell Discover & Config – w/o wifi | Real time streaming | FW update Security – Encrypt, Auth | Reduce energy & bandwidth On Premise MQTT, HTTP Built for Clouds Multi Cloud Abstraction Layers for managed services NO DevOps-hungry open sources
  • 8. Sensor Hub K i n e s i s Everything DynamoDB S3 or EFS Session Files Cloud Front SQS Agg Trigger Algo Agg SQS Agg Ready S3 Agg Out Hub Logs S3 Agg In Auto Scaling Auto Scaling S3 DB Backups Redshift Any SQL BI Tool Session Cache RT Algo AWS IOT MQTT TBBTM Data Streaming – Zero DevOps
  • 10.  Cloud – the ideal ◦ Protects IP ◦ Cheaper ◦ High availability/durability ◦ ..  GW ("fog") – the reality ◦ Offline (rules, storage) ◦ True real time ◦ Data BW is large #1 – Where is the Logic & Data?
  • 11.  Temporal Stream Compression #2 – How to Reduce Energy & Bandwidth?
  • 12.  Protect ◦ Mutual device-cloud authentication ◦ x.509 certificates ◦ Encrypt sensitive data ◦ Key management  Backup  Traceability  Voluntary compliance – ISO 27001  AWS? Use HIPAA-Eligible, KMS, Cloud Trail #3 – How to Secure the Solution?
  • 13. Guy Vinograd [email protected] Developing a Cloud-Native IoT Service? Use