Drew Johnson, Vice President of Engineering at Aeris Communications, will present on how Aeris and Cassandra provide an IoT solution to help automakers create connected cars. The presentation will cover IoT trends, the anatomy of an IoT platform as a service (PaaS), challenges customers face without a PaaS, how the Aeris AerCloud PaaS works, why Cassandra is chosen over relational databases, and a case study of how automotive OEMs leverage Aeris and Cassandra. The presentation aims to demonstrate how Aeris and Cassandra can help automakers move forward in connecting their vehicles.

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Aeris + Cassandra: An IOT Solution Helping
Automakers Make the Connected Car a Reality
Drew Johnson, Vice President of Engineering, Aeris Communications

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Webinar Housekeeping

4. Who Am I?
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Drew Johnson
Vice President of Engineering
• More than 20 years of experience at both large
and small companies
• Started career at Compaq Computer working on
the first generations of mobile computing devices
• Prior to Aeris, Director of Engineering at Austin
mobile start-up SoloMio and VP of Engineering at
mobile and messaging software company
Openwave
• Holds a Masters degree in Artificial Intelligence
from the University of Illinois and has more than 20
patents

5. Agenda
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• About Aeris Communications and IOT market trends
• The anatomy of an IOT PaaS
• Customer challenges in delivering IOT/M2M solutions
• The Aeris AerCloud PaaS offering
• Evaluating database technologies
• Case Study: How automotive OEMs leverage Aeris + Cassandra
• Moving forward with Cassandra
• Q&A

6. The Future is Here – IoT Trends
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Volume of IOT data by 2018
90
percent
400
zettabytes
30
billion
IOT data in the cloud by 2020
Connected IOT devices by 2020

7. About Aeris Communications
Enterprise/MNO
Connectivity-as-a-
Service
Cloud-based IoT
Applications and
Analytics PaaS
Automotive
Applications/
Services
Aeris IoT Platform

8. The General IOT PaaS Anatomy
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Requirements
• Collect and store large amounts of
data (time-series, location, sensor data)
• Reliable / secure
• Minimize data transfer
• Process in NRT for alerts
• Handle batch/deep analytics
• Share data in a secure manner
• Rapid prototype to production scale
• Cost effective
Acceleration
Location
Speed Business
Value
Traction

9. Customer Challenges w/o PaaS
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• Customer developers focused on infrastructure rather than
differentiating features - suffering frequent downtimes
• Data intake volume
(Aeris: Grew from 1B transactions/year to almost 1B per day!)
• HIPAA / Data location compliance
• Need to derive more value from the data being captured
• Wild Wild West on device protocols – have to adapt easily

10. How Aeris AerCloud Works
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11. Confidential
Aeris Technology Map
Web Services
MQTT
Data Storage
Indexing
Analytics
Location Geofence
and Search
Queuing
Netty
Tomcat
Netty
Aeris
Cassandra
Aeris
Aeris
RabbitMQ
HTTP Push
Aeris

12. Key Database Requirements
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Strong real-time search and
query capability
Support high reliability and
security
Structured & unstructured
real-time data
Flexible data model with
affordable scalability

13. Why Not Relational Databases
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• Costly/Complex to scale – especially w/ HA
• Manual sharding at scale is a pain
• Inflexible data model – can’t handle IoT variety of
data

14. Why NoSQL and Apache Cassandra
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• Purpose built for IOT & time-series data
• Optimized for storage & retrieval of time-series data
• Integrated analytics with Hadoop connector
• Fantastic write performance (2B MQTT/day @ 8 nodes)
• Simple to manage (No master/slave, shared storage, manual sharding)
• Supports 100% uptime through masterless architecture & multi-datacenter replication
• Flexible schema allows for faster time-to-market
• Commodity storage/instance storage for linear & predictable scale
• No lock-in to a specific cloud provider

15. Confidential 15
Aeris has done especially well in Automotive
Aeris Automotive

16. Confidential 16
• Aeris handling 1M+ vehicles for an OEM
• Recently identified key anomaly
due to software change
• Same analytics engine could
identify other vehicle system
anomalies
OEM Case Study

17. Moving Forward
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Next up for Aeris – key customer areas:
• Vehicle telematics – expanding use cases for both
make-money and save-money
• New verticals – avionics and fleet
Our 2 cents: Plan for Big Data and Data Portability from
the start! (Cassandra/AWS > AWS alone)

18. Q/A
Input questions at any time
using the online interface

19. Thank You!
19Confidential