Transcript
Page 1: (ARC312) Processing Money in the Cloud | AWS re:Invent 2014

November 13, 2014 | Las Vegas, NV

Soofi Safavi, CTO Radian Inc

Sri Vasireddy, President REAN Solutions Inc

Page 2: (ARC312) Processing Money in the Cloud | AWS re:Invent 2014
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Trading

Partners

Origination

Servicing

Loss

Management

Un-Structured Data

Semi-Structured Data

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Over time, they became buried in noise, increasing overhead...

Value Add Work

Overhead

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0.00

10000.00

20000.00

30000.00

40000.00

50000.00

60000.00

70000.00

80000.00

MB/$NIW

MB/$NIW

Data Volume Increased Dramatically, Compared to Value…

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Blue Print : Established an architecutre

OA Proof of Concept

Infrustructure Operations

OA Solution Developement

References (in our domain )

Establish Plan B

Compliance & Legal

Customer

NPI Security Control

Financial

Capabilities

Execution

Ho

w?

Major Activities/Milestones

Dim

en

sio

ns

of

eva

lua

tio

n

Ris

kW

hy?

Does it make sense? Are we compliant? Can we do it?

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Cloud Strategy

Radian cloud readiness project proved to us Radian’s ability to

adopt the cloud as a centerpiece to our modernization, despite

significant change management demand ahead of us.

Modernization both short term

and long term will benefit from

the cloud strategy. And IT

innovation will become a strong

enabler of Radian’s business

strategy.

Customer meetings and

compliance research has shown,

the customer concerns around

the cloud will be mitigated by our

security posture and encryption

approach.

… while maintaining an inherited posture of continuous technology and financial

improvement.

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Encrypt/Tokenize Non Public Information (NPI)

Unstructured Data Semi-Structured Data Structured Data

Amazon

DynamoDBAmazon

RDS

Amazon

CloudSearchAmazon

RedshiftStorage (S3)

Amazon

Elastic

MapReduce

Elastic Scalable Compute

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Analytics

Apps

NoSQL DB Tables

BI

Apps

Policy

Apps

Data

warehouse

Talend

MapperTransformation

Engine

Structured

DataUn-

Structured

DataDocument Table

PolicyAdHoc

Analysis

Business

IntelligenceRisk Analysis

Holistic

Search

Raw

Data Store

Transformation

Layer

Processed

Data Store

Loan Data

Apps

EMR

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Access Control Assessment

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Reduce Code

Deploy-ment Time

Quicker Access to Features and Fixes

Better Metrics on Code Quality

Improved Visibility

for Upper Manage-

ment

Facilitates Decisions & Faster Conver-gence

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Server Automation

Application Automation

Environment Automation

End-To-End

(Stack) Automation

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AWS first design • Prefer service over product and

increase focus on your business

• Do not re:Invent the wheel;

leverage existing solutions in the

AWS ecosystem

More data is better data • Know everything about your data

(context, lineage, etc.)

• Data about is data is as important

as data (data ^ data)

Re-use process vs Re-use data • Leverage on-demand compute

capacity to obtain facets of data

for transaction and analytical

consumption

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Focus on Information Security as

Opposed to Perimeter Security

• NPI Vault

• Encrypt everything

• AWS provided services

Centralize information to achieve

simple enterprise architecture

• Create a data lake and store

everything in a flexible data

format to facilitate easy

consumption

Automation is a style vs. end state • Automate the last and most

frequent change step in your

process (Kanban process)

Rapid Prototyping • Be open to change update your

architecture/design

• Learn and make better decisions

every day

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http://bit.ly/awsevals


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