The document discusses migration to AWS and modernization. It notes that migration, modernization, and innovation go hand in hand. Migrating existing technology debt to the cloud provides value more slowly than developing cloud-native applications. The modernization process involves determining migration paths, assessing applications, and iteratively replatforming and redesigning applications and infrastructure on AWS. Common patterns for successful migration include discovery of existing assets, establishing business cases, early experimentation, defining target operating models, and change governance. Common blockers include building business cases, partner selection, security concerns, capability gaps, and operational uncertainties.

1. S U M M I T
SYDNEY

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Migration to AWS: Creating a
foundation for modernisation and
innovation
Nick Blamey
Migration Growth Leader ANZ
Amazon Web Services

3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T

4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Migration, modernisation, and innovation – divine confluence

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Speed to value – cloud native v migrating tech. debt
Time
Value
PROJECT FOUNDATION MIGRATION REINVENTION
Cloud Native
Migrating to Cloud

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Modernisation modes : The loop
Use Migration
Tools
4.Replatforming
(Lift & Reshape)
Transition Production
1. Retain
/ Not
Moving
Redesign
Application/
Infrastructure Architecture
App Code
Development
Purchase COTS/
SaaS & licensing
Validation
Modify underlying
Infrastructure
Full ALM /
SDLC
Config DeployInstall
2. Retire /
Decommission
Determine
Migration
Path
Automate
Manual Install
& Setup
Integration
Determine
new platform
Assess /
Prioritise
Iterate
Discovery

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AWS Migration, Modernisation, and Innovation
Framework
AWS Migration
Methodology and
Toolkit
AWS Platform Migration
Service Family and
Technology Partner Tools
AWS Migration
Competency Services
Partners
AWS co-investment
mechanisms (e.g. Migration
Acceleration Program)
AWS Training and
enablement
AWS practices: Digital
Innovation, Professional
Services, Economics and
Cost Optimistaion

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Start with the end in mind by working backwards
Envisioning
Workshop
The future
visionOperating
Model
Plan
Business
Case
Experiments

9. B2C company Cloud Transformation journey
DC
Migration/Refresh
Readiness
and
Planning
GreenPlum RedShift
DC
Migration/Refresh
Assessment
and
Business Case
DC1
refresh/exit
H1 2017 H2 2017 H2 2017 2018 2019 2020
Breaking-out GISV monolith into
discrete home-grown services (i2)
Instiutionalising
DevOps
Time critical path activities
Non time critical path activities
Input
Experimentation…
Personalization
analytics
hours->seconds
Predominantly server-based
product architecture in owned DCs
Predominantly serverLESS
product cloud architecture
~3,000
servers
60%+ business functionality
provided by monolithic Global ISV
(GISV) packaged application
Business functionality
provided by GISV application
reduced to 10%
=<1,000
Servers(instances)
Customer eXPerience
platform (re)engineering
PersonaliZatioN
service (re)engineering
DC2
refresh/exit
Application platform
service (re)engineering
State Regulator
infrastructure location
constraints
and on-going negotiationsProgressive
server->service
migrations
(on-prem and cloud)
2018 company roadmap
People/Capability Development
DC
Migration/Refresh
Program
of
Work
Digital Innovation
envisioning

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Patterns for success
• Know your estate (discovery tooling)
• Understand the business case & get commitment
• Partner early, partner well
• Learn & build capability through early experiments
• Understand your target operating model, and partner / build capability to fit
• Govern the change

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Common blockers
• Building the business case
• Partnering (incumbent vs SI vs best of breed)
• Security (is it safe?)
• Capability (how will we do it?)
• Operations (how will we sustain it?)

12. Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Nick Blamey