Some slides to go along with the Bluemix Natural Disaster Hackathon Q&A Google Hangout

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IBM Cloud
Bluemix Natural
Disaster Hackathon
Hangout
Kyle Brown

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© 2015 IBM Corporation
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Outline
 Who are our customers in a Natural Disaster?
 Bluemix Services
 Watson Services
 Resiliency in Bluemix Applications

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Resources and Links
 Watson Services suggestions:
http://bluemixathon.devpost.com/updates/3965-pro-tips-curated-tools-
from-the-bluemix-engineering-team
 Slideshare of Bluemix hackathon slides:
http://www.slideshare.net/kylegbrown5/how-bluemix-and-ids-can-help-
in-a-natural-disaster
 Bluemixathon rules and resources: http://bluemixathon.devpost.com
 Presentation of hackathon ideas:
http://www.ibm.com/developerworks/cloud/library/cl-bluemix-life-saving-
world-changing-apps-trs/index.html

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Who are our customers in a Natural Disaster?
 The first question in understanding how at technology or set of technologies can help you with
a problem is to understand who the customers of the technology would be. In our case, these
could include:
– Victims of the Natural Disaster
– First Responders
– Family, Friends and Loved Ones of those affected
– Utility Companies, Insurance Companies, Transport companies
 The next set of questions come after you’ve identified
your customers
– How does this concept help them?
– Will they be able to use it effectively?
– How is it better than existing approaches?

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Core Services Categorization
Data Storage Gateway Visualization Analysis Data Movement,
Augmentation
and Validation
SQL Options IOT Embeddable
Reporting
Analytics for
Hadoop
Dataworks
NoSQL Options Twilio Cognitive Graph Apache Spark Pitney Bowes
Geocoding
Secure Gateway IOT Realtime
Insights
BigInsights for
Hadoop
Watson Natural
Language
Translation
API Management Document
Generation
DashDB
SendGrid Geospacial
Analytics
Streaming
Analytics
Predictive
Modeling

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Bluemix Production: Alchemy API
Natural Language
Sentiment Analysis
Taxonomy and
Concept Tagging
Extraction
and Feed Detection
Language Detection
Microformat Parsing
Images
Face Detection
Image Link
Extraction
Image Tagging

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Bluemix Production: Alchemy API
Sentiment Analysis
Natural Language Processing
Worked perfectly!
Great experience
and form factor.
Positive or negative feelings expressed in text
Disappointing and
difficult to
integrate.
Languages: English, French, German, Italian,
Portuguese, Spanish, Russian
General or directed at phrase / extracted entities
Text
HTML
URL

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Bluemix Production: Tradeoff Analytics

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Bluemix DR capability
 For several reasons (including the possibility of a natural disaster in Dallas – remember the
hailstorms of 2012 and 1995, the tornado outbreak of 1955…) you want to always make sure
that your application can run in more than one location – for Bluemix today that means both
London and Dallas
deploy
CF CF
IBM DevOps
Services
Cloudant
Replication
App App
CloudantCloudant
deploy
Dallas London
External DNS