This document discusses 4 levels of IoT maturity and how Cloud Foundry can help organizations achieve the highest level of maturity. It begins with an analogy about turning raw data into a gourmet meal using a kitchen and restaurant-style services. It then discusses 3 common problems organizations face with data and proposes Cloud Foundry as a solution. The next section discusses a case study of a medical device company using Cloud Foundry to securely and cost-effectively monitor devices. It concludes by recommending some open-source IoT apps to try on Cloud Foundry.

1. @renatc
4 Levels of IoT Maturity
Cloud Foundry IoT Case Study
Open Source App Samples
With Renat Khasanshyn
CEO, Altoros
@renatco
Crap. Your Big Data
Kitchen is Broken
A tale of raw data becoming a gourmet meal, served
restaurant-style. Did I say Cloud Foundry?

2. @renatc
So, why am I here?
You all know how to store and access data at scale

3. @renatco
Problem #1
Unstructured and structured data are colliding at an
accelerating pace.
Your company will perish in 15 years or less, if the amount of time it takes
in your company to “refine” data into APIs, APIs into apps, and apps into
decisions is slower than 80% of your competitors.

4. @renatco
"Your major competitor
in 10 years - if you
survive that long -
probably does not
exist today”
Steve Prentice
Vice President and Gartner Fellow

5. @renatco
Company-wide discovery & real-time provisioning of
data, APIs and web services do not exist in 95% of
companies.
Problem #2:
this isn’t helpful to end users

6. @renatco
“The hard part isn't
crunching the data; it's
connecting all the
systems needed to
paint a complete data
picture.”
Richard Soley
CEO at OMG & Director of the Industrial Internet
Consortium

7. @renatco
Too many
devices.
Too few
developers.
Connected devicesSoftware developers
• 2013: 6 billion
• 2018: 20 billion
• 333% increase
• 2013: 18 million
• 2019: 26 million
• 45% increase
Source: Evans Data
Corporation - Global Developer
Population and Demographic
Study 2013
Source: Business Insider Intelligence
- The Internet Of Everything: 2014

8. @renatco
IT & Security groups at organizations often control and
sometimes block company-wide data/API sharing
Problem #3:
good news - they gave us “a cloud” for real-time provisioning of VMs!!!

9. @renatco
”Sensor-based diagnostic and
predictive analytics, the biggest
technology opportunity for the
next 10 or 15 years, is not
moving as fast as I would like”
Lynden Tennison, CIO
Union Pacific

10. Production releases take months!

11. @renatco
How can we fix the kitchen?

12. @renatco
Part 1. Why should I believe you?
❑ Who is Altoros?
❑ Where is this coming from?
Part 2. Four levels of IoT maturity in organizations
❑ Raw data becoming a gourmet meal
Part 3. The Fourth Level Platform
❑ What makes Cloud Foundry unique?
❑ Application examples:
– Node Red
Where I will take you today

13. Part 1
Why should I believe you?

14. *
Buenos Aires
Oslo
London
Zurich
Sunnyvale, CA
Copenhagen
Minsk
Santa Fe
Boston
30%Female
70%Male
+5Join us on an
average month
Full Time Enablers
DevOps
Software Engineers
256+
FACTS ON ALTOROS

15. *
WHAT WE DO
We bring “software assembly lines” into organizations through
deployment and integration of solutions offered by the Cloud Foundry ecosystem
Training Managed ServicesConsulting Integration
Delivered by Altoros Delivered by Pivotal & Pivotal Ecosystem

16. @renatco
* Customers
We highly recommend
Altoros to rapidly build complex applications using
cutting edge technologies. Again, great job!
Christopher Adorna, Sony Design Center, LA
“
Enablement of X-as-Service
Cloud Foundry training and integration
Enablement of X-as-Service
Integration with Cloud Foundry & IaaS
Enterprises
Software Companies

17. Part 2
Raw data becoming a gourmet meal.
Restaurant-style.

18. @renatco
Tale of raw data

19. @renatco

20. STORING/ACCESSING
RAW DATA
(NoSQL, Hadoop) =
COST OF COMPUTE
Cost of storing and
accessing raw data at
scale

21. @renatco
Raw data
in your database

22. @renatco
Data aggregates

23. @renatco
APIs
just like home-
cooked meals

24. @renatco
API discovery
& provisioning.
Restaurant-style.

25. RAW FOOD FROZEN MEALS KITCHEN RESTAURANT-STYLE
From raw data to serving it in style
AGGREGATES APIs API DISCOVERY,
PROVISIONING & POLICY
ENFORCEMENT
RAW DATA
IN A
DATABASE

26. RAW FOOD FROZEN MEALS
RAW DATA AGGREGATES
Cloud Foundry means
KITCHEN RESTAURANT-STYLE
APIs API DISCOVERY,
PROVISIONING & POLICY
ENFORCEMENT

27. Back-end of IoT: IaaS vs Cloud Foundry PaaS
IaaS Cloud Foundry PaaSFeatures
Days
Centralized service by PaaS, for any app
Use a simple CLI: $ cf bind service
Restful API
Weeks or months
Architects link each app to IaaS APIs
Dev-ops requests
None. Build your own?
None. Build your own?
IoT apps, APIs go
live
IoT apps, APIs Scalability & HA
Effort to provision access to APIs
Metering of API usage
Policy enforcement via API? Restful API

28. Part 3
Cloud Foundry + IoT
Case Study

29. Cloud Foundry to Save Lives?
15,000 employees, $4B revenue,
member of S&P 500
Technical challenge: 300,000 devices in 800+ hospitals
across 4500+ locations
#1
liquid intravenous drug &
medical device (IV pump)
company

30. @renatco
*

31. @renatco
* The problem:
Human is still required to
manually operate and monitor
14 infusion pumps due to high
cost of making monitoring
applications redundant AND
highly available AND scalable
AND portable AND secure

32. @renatco
* People who died or got injured under IV procedure
YESTERDAY and every day in the last 5 years:
due to wrong drug, wrong IV pump, wrong quantity
300

33. @renatco
*
Problem:
a redundant AND highly available,
AND scalable, AND portable, AND
secure big data apps & “micro
cloud” hardware appliance +
systems integration used to cost
each hospital $5,000,000…
that’s why only 2 hospital networks
can afford it
$$$

34. @renatco
* Opportunity
Save lives. Every day.

35. @renatco
*
Becoming a software company with Software-defined Drug
Delivery
~300,000 IV pumps
Daily Data Intake
7TB

36. @renatco
*
*Can we change
economics by
15x?
How can we deliver a redundant
AND highly available, AND
scalable, AND portable, AND
secure big data apps & “micro
cloud” hardware appliance +
systems integration for $30k
instead of $5,000,000, per
hospital?

37. @renatco
*
Single architecture, one micro-cloud appliance for all deployment locations
Cloud Foundry RabbitMQ Cassandra MariaDB
Regional Data Center1 Hospital 1Regional Data Center2 Hospital n
Deployment map - 1000 hospitals?
Hosted *aaS for hospitals with redundant Internet/power $30k 3U appliance for hospitals that can’t use *aaS

38. *
Result: First to market. First order. Potential net new revenue - $0.5B

39. *

40. @renatco
* Good story... What is next?
Predict pump failure. Save even more people.

41. ”Sensor-based diagnostic and
predictive analytics, the biggest
technology opportunity for the
next 10 or 15 years, is not
moving as fast as I would like”
Lynden Tennison, CIO
Union Pacific

42. Part 3: A few open-source apps for your
next IoT project

43. Check out:
http://www.nodered.org

44. © 2014 Apigee Confidential – All Rights Reserved
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http://www.zettajs.org/
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45. @renatc
With Renat Khasanshyn
CEO, Altoros
@renatco
Questions?
Suggestions?
Need advice with POC?
renat.k@altoros.com
Tel. (650) 395-7002