The implementation of highly scalable, easy-to-deploy technology is transforming enterprises, but it’s not a one-size-fits-all approach. Organizations begin their cloud adoption journeys in many ways. Some start with pilot projects and others jump into mission-critical programs, but they are all starting with an existing infrastructure. Adopting cloud doesn’t mean scrapping it all and starting over. This session explores how organizations are using cloud while building on their existing technology and lessons they’ve learned along the way. In this session we will discuss when and how to leverage hybrid cloud computing to meet the needs of the enterprise. We will cover popular hybrid cloud use cases in enterprises, pillars to design a secure hybrid cloud environment and how to get started with AWS.

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Step 3: BUILD
How Different Large Organizations
are Approaching Cloud Adoption
Sebastien Linsolas
AWS Solutions Architect

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What to expect from the session
• Cloud adoption journey
• AWS hybrid cloud capabilities
• Customers stories
• How to start your journey

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Hybrid cloud strategy
of large enterprises
run VMs in the
public cloud
(IDC)
60%
of organizations have a
hybrid cloud strategy
today (IDC*)
65%
of workloads are
virtualized today
(IDC )
83%

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Business – Common cloud adoption drivers
Data Center
Consolidation
Digital
Transformation
Agility/Dev
Productivity
Cost
Reduction
Acquisitions
or Divestitures
Large scale compute
intensive workloads
Facility or Real-estate
decisions
Colocation
or outsourcing
contract changes

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Many worry there are only two choices
Build a
“private” cloud
Rip everything out and
move to
AWS
#1 #2

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The good news is – it isn’t an “all or nothing” choice
On-premises
resources
Cloud resourcesIntegration

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What do customers want in hybrid?
Run workloads
on-premises
Run workloads
on the cloud
Tight
integration
Without buying
new hardware
$

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The Cloud Adoption Journey

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Organizations typically follow a four-stage path as they adopt cloud, with
additional value being delivered by each stage
Project
Foundation
Migration
Value
Time
Optimization

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If organizations can accelerate adoption, they realise greater value earlier in the
journey and help foster greater innovation
RETIRE TECHNICAL DEBT
Value
Time
Project
Foundation
Migration
Optimization
FOSTER INNOVATION (CLOUD NATIVE)

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Identify Key Resources
IT Organization
Security
Development
Architecture Operations
Leadership
Finance

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Mitigate the Effect of Functional Siloes
CCoE
Security
Development
Architecture Operations
Leadership
Finance
CCoE – Cloud Center of Excellence

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Experiment with
Green Field Project
BI
IoT
App
Web Big data
Biotech

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Use these Design Concepts for Any Workload

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Experiment and Optimize
Availability Zone
Web
RDS DB
Day 1
Availability Zone
Web
RDS Master
(Multi-AZ)
RDS Slave
(Multi-AZ)
Availability Zone
Web Web Web
RDS Read Replica RDS Read Replica
Day 100
DynamoDB
Lambda

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Build the Foundation

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Start Accounts Network Security
Identity &
Access
Cloud
Users
What’s
Next ?
• Account Structure
• Network Structure
• Security Baseline
• AWS User Access
Management
• …….

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Foundational services
Integrated identity and access management
Integrated network
AWS
Single
Sign-On
AWS
Direct
Connect
Amazon
VPC
VPN AWS Identity
and Access
Management
AWS
Microsoft
AD
Connector
AWS
Directory
Service

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AWS Hybrid Cloud
Capabilities

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Hybrid connectivity
CORP

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Data integration
AWS
Storage
Gateway
Amazon
S3
Amazon
Glacier
Amazon
EBS
snapshots
Amazon
Route 53
Elastic
Load
Balancing
Amazon
RDS
AWS
Snowball
Amazon
MQ

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Customer case study: Moderna
Moving data to AWS storage for backup, archiving, and big data
“Storage Gateway has the promise to transform the way we move data into
the cloud. The NFS interface lets us easily integrate data files from
analytical instruments, and the transparent S3 storage lets us easily
connect our cloud-based applications and leverage the powerful storage
capabilities of S3.
With Storage Gateway, we can now unleash the full power of AWS on our
instrument data.”

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Integrated devices and edge systems
AWS Snowball
Edge
Amazon
FreeRTOS
AWS
Greengrass
Amazon
Machine
Learning
AWS Lambda

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Moving to the Edge
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
Devices
Sense & Act
AWS IoT
Core
AWS
Greengrass
AWS IoT
Analytics
Amazon
FreeRTOS
AWS IoT Device
Management
AWS IoT
Device
Defender
Things

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AWS Greengrass ML Inference
Edge Cloud
Machine
inference
Inference Training
Use AWS Greengrass console to transfer models to your devices
Run Machine Learning at the edge

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Customer case study: John Deere
Connects Growers, Data & Machines
manufactures agricultural, construction, and forestry
machinery, diesel engines, drivetrains used in heavy
equipment, and lawn care equipment.
Using the AWS cloud, John Deere can help
farmers take action on real-time
developments on their farms, plant more
efficiently, and improve the yield of their
crops.
• John Deere’s mission: connect people,
technology, and insights to advance
agriculture in a sustainable fashion.
• Uses AWS to stream, analyze, store, and share
data collected by 200,000 telematics-enabled
machines
• Provides growers with timely and accurate
data for optimal growing conditions.
Patrick Pinkston
VP, Information Solutions, John Deere
”
“
John Deere: Video Case Study: http://aws.amazon.com/solutions/case-studies/john-deere/

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Cloud Bursting
Amazon EC2
Spot Fleet
Amazon
Machine
Images (AMI)

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Customer case study: FuseFX
Spot Fleet
AWS
Direct
Connect
AMI
Deadline DB and Repo
Local Render Farm
Isilon X410 Cluster
m4.16xlarge with EBS Custom Sync solution for
Studio Assets

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Data center extension
VMware Cloud
on AWS
AmazonEC2 Network Load
Balancer
and
Application
Load Balancer
Amazon
MQ

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Customer case study: Samsung
On-Premises
Data Centers
Hybrid
App
AWS serves up
application content &
data
Integration back to
Samsung Data Centers
for financial transactions

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Integrated resources and deployment management
AWS
OpsWorks
AWS
Systems
Manager
Amazon
Elastic
Container
Service for
Kubernetes
(Amazon EKS)
AWS
CodeDeploy
VMware
Cloud on
AWS
Amazon
MQ

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Customer case study: Cerner
Integrated Resources, cloud bursting and data center extension
“.”
Hybrid IT operations simplified by using the same VMware Cloud Foundation technologies
across both their on-premises and the AWS Cloud.
Scenario 1:
Maintain and expand
ExpandMaintain
Geo expansion
Disaster recovery and
backup
Scenario 3:
Workload flexibility
Prod, dev, test, lab, and training
Burst capacity
Flex as needed
Scenario 2:
Consolidate and migrate
MigrateConsolidate
Data center consolidation
Application migration

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AWS hybrid cloud solutions - Run
AWS
CloudTrail
Amazon
CloudWatch
AWS
CloudFormation

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SAP HANA hybrid deployment
Customer case study:
AWS CloudFormation
IAM
Amazon
CloudWatch
Amazon S3
Backup
Recovery
Kellogg’s Data Center
SAP ERP
Users
Production
SAP HANA
DB
Encrypted VPN
Connection
Public reference: https://aws.amazon.com/solutions/case-studies/kellogg-company/

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How to start your journey?

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Elements of a Successful Journey
Executive
Sponsorship
Cloud-First
Strategy
Principles &
Standards
Experiment
Cloud Center of
Excellence
Organizational
Change
Adoption
Roadmap
Align on business requirements; bring all stakeholders with you
Define architectures, patterns, governance; measure, monitor, iterate
Publish guidance and guard rails for how to adopt cloud successfully
Provide centralized expertise; guide decentralized innovations
Define new operating models, policies, processes, economics; provide training
Start small and iterate, measure, manage and update plan
Create your vision; incentivize team members to follow your lead

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Not only about technology
Compliance
Business Alignment
Application Optimization
Reporting
Continuous Deployment Core Competency
Cost Control
Governance and Policy
Talent Optimization
Security
DevOps
Operation Integration
On-Demand
Legacy Modernization

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Not only about technology
AWS Cloud Adoption Framework

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Scan the QR code on your badge and complete the online
survey to redeem an AWS passport pouch at the registration
desk after 3pm.
YOUR FEEDBACK IS IMPORTANT TO US!

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Thank You!
Sebastien Linsolas
slinsola@amazon.com