Discover how AWS Service Catalog is enabling Deloitte ConvergeHEALTH to streamline application deployment for its family of Life Sciences analytics software products. In this session, learn how Deloitte has reduced deployment time from days to minutes by leveraging an automated, consistent, and compliant approach to application deployment. This session is designed for application developers, applications owners, and anyone who wants to improve their time to value and business agility using the automated deployment capabilities of AWS Service Catalog.

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Streamlining Application Development
with AWS Service Catalog
Abel Cruz
Global Business
Development Manager
AWS—Service Catalog
D E V 3 2 8
Jinlei Liu
VP of Engineering
ConvergeHEALTH,
a division of Deloitte
Consulting LLP
Kristin Kostka
Data Science Lead
ConvergeHEALTH,
a division of Deloitte
Consulting LLP

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Agenda

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AWS Service Catalog
End usersOrganizations
Curation
Compliance
Standardization
Agility
Self-Service
Time to market
SpeedSecurity
Service Catalog enables organizations to
deploy and manage AWS infrastructure and
applications that reflect the organization’s
security and operational policies

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AWS Marketplace
Current state of self-service
AWS console
Launching a
virtual machine
Virtual Machine
c5d.2xlarge
Broad Choices…
 Requires Security Policy
 Time consuming
 Inconsistent tagging
 Cost Over-runs

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Self-service with preconfigure compliance
 Constrains
 Security controls
 Parameter validation
 IAM assignment
 Tag enforcement
Standardizes best practices
JSON, YML or
Terraform
AWS Product/Service
AWS Marketplace
third-party products
Customer-Created
AWS-Based Solution
AWS Service
Catalog
Admin

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User’s custom product list
Virtual
Machine
t3.small
 Compliant with firm polices
 Speedy deployment
 Correctly tagged
 Within budgetAWS Service
Catalog
User
New state of self-service

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Service Catalog process
Constraint
Security, governance and
deployment controls
Product
IT service or resource
Products list
Where end users see what products they have access to
Portfolio
Where admins save collections
of products
Provisioned products
A SC deployed and configured product
Administrator tasks
User tasks

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Business Analyst
(Requirements)
Product/Solution
Architect
QA
(Security/
Procurement/
Compliance/etc.)
Requirements
Requirements
Requirements
IaC Developer
JSON, YML,
Terraform
Central IT, CCOE or Equivalent
VPC
AWS Marketplace
AWS Service
Catalog
Evolving operating model
Solutions Factory

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Cloud services request choices
 Enterprise Best Practices
 Governance
 Security
 Consistency/Repeatability
Solutions Factory
SC Connectors
Organizations
End user
AWS Service
Catalog

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Flexibility in business models
Governance and compliance
Agility and innovation
Consistent and automated deployments
IAM
(Who, what,
where, etc.)
ITSM
Integration
IaC
(JSON, YAML,
Terraform)
Version
control
Deployments:
Hub & spoke, multi-
account, centralized,
distributed
Compliance:
(Security,
procurement,
regulations, etc.)
Tagging:
Organization and
budget controls
Constrains
(Launch, template,
notification)
CCOE/
Central IT
SI/CSP
AWS Service
Catalog

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Deloitte’s innovation factory building products and solutions designed specifically
with today’s biggest health care business and operational challenges in mind
Cognitive and artificial intelligence
incorporated across all facets of healthcare
Patients moving to the center as a
consumer and data owner
Evidence underpinning the shift to a
value-based, learning healthcare system
Data liquidity creating a connected
healthcare system and near-real time
data access
v. to tend or move toward one
point or one another
n. a person's mental or
physical condition
Data and evidence are emerging as the new currency of healthcare, which is increasingly
enabling pharma companies to drive enhances insights, and greater collaboration

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What is real world data?
Is the data relating to patient health status
and/or the delivery of health services occurring
outside of traditional randomized clinical trials
(RCTs). RWD can come from a number of sources,
for example:
• Electronic health records
• Insurance claims
• Product and disease registries
• Patient-generated/reported data
• Wearables/mobile devices
Is the clinical evidence regarding the usage and
potential benefits or risks of a medical product
derived from analysis of RWD

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RWE has the potential to accelerate drug development

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EXPLORE ANALYZE INFLUENCE
ConvergeHEALTH MinerTM is an open, modular platform designed
for Life Sciences needs
Enable a broader set of users to analyze
data with a broad set of statistical tools
and self-service applications
Enable the exploration of available data
(e.g., RWD, RCTs, molecular, etc.), studies
and evidence/results with the controls
and governance for access across the
enterprise
Enable data-driven decision making
across the product life cycle for the
enterprise
An integrated, open, flexible cloud-based analytics, knowledge management and collaboration
platform designed to expand the use of data and evidence across the drug life cycle

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Raw &
Transformed
Data in S3
Streamlining Application Development for RWE
Data
Sources
Data Landing Bucket
Production VPC
Transformed
Data in EBS
S3 Collaboration
Bucket
Amazon
Workspaces
Amazon
Workspaces
End
Users
External Collaborators
Data Scientist Workspaces
Peering
Test VPCDevelopment VPC
Peering
ConvergeHEALTH Miner Reference Architecture
Amazon EMR
+ Spark
Lambda
Function
Master, Work &
Edge Node EC2s
Cohort
Insight
R ServerPostgreSQL instance Analytics
Apps
Tableau JupyterHub SAS Cluster OHDSI
ATLAS

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Challenges with deploying a RWE platform product in a client’s
AWS
High deployment complexity using client VPC and specific
configuration of approved services
Incorporating existing tools creates an assortment of
integration points
Inherent complexity and diversity of data
Only allowed to expose product suite to select clients
What can we do to embrace a modular, flexible design and still streamline product upgrades?

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Create multiple service catalogs by users (internal vs external customers)
AWS Service Catalog for product delivery
Create tailored product portfolio for each client or go-to-market strategy
Deliver variable sizes of product suite
Enable packaged modules via CFN template
Construct support scripts for required security settings

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Example 1—multiple ”products” for data ingestion
Streaming
Miner Batch
Ingestion Pipeline
Miner Streaming
Ingestion PipelineData
Sources

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Example 2—multiple options for a product
Redshift only
Redshift +
Spectrum
+ EMR
HDFS + RDS
Cohort
Insight
R ServerPostgreSQL
instance
Analytics
Apps
Tableau JupyterHub SAS Cluster OHDSI
ATLAS
Amazon EMR
+ Spark
Lambda
Function
Master, Work &
Edge Node EC2s
HDFS cluster

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What CH Service Catalog looks like
AWS Service
Catalog

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Using Service Catalog to package solutions is a win-win
Product team benefits
Delivering and maintaining delivering
multiple combinations is challenging
to product upgrade cycle
Desiring a “one click” delivery
mechanism to provision product
Delivering value faster and eliminate
barriers of getting solution in the
hands of end-users
Client benefits
Appealing to stakeholders by offering
flexibility in solution architecture and
enables potential reuse of existing
technology
Allowing tailoring of packaged
solution to fit scope of RWE initiative
Ability to take more easily tap into
AWS innovation around microservices
to support enterprise

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Lesson learned
Design your solution with modular deployment in mind
Pay attention to security and governance
Grow from something small
Think about “how to tear down” before given access to users
to spin up
Connect with AWS Service Catalog team to address your
specific requirement

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Our takeaways
Enables rapid deployment
Enhances security
Facilitates flexible, scalable compute

30. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Abel Cruz
abelcru@amazon.com
Jinlei Liu
jinlliu@deloitte.com
Kristin Kostka
kkostka@deloitte.com

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Copyright © 2018 Deloitte Development LLC. All rights reserved.

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