A successful cloud-transformation journey incorporates three pillars: people, process, and technology. Too often, organizations focus on process improvements and technology implementation, but ignore the human aspect. Many leaders acknowledge that the first two are easy to modify, while influencing culture is more difficult. This session covers best-practice methods for empowering customers to address this challenge. Learn about roles and responsibilities germane to the transition and post-cloud adoption phase. Assess your organization’s gaps among the requisite skills and competencies. Build effective training models, and encourage an adaptive culture. Ray Hession, Federal Government, Amazon Web Services Giovanni Pizzoferrato, Director, Cloud & Big Data Technology, Canada Pension Plan Investment Board *This session will be delivered in English and French *Cette session sera livré en anglais et en français

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September 27, 2018
Ray Hession, AWS Public Sector, Government of Canada
Digital Transformation: Empowering
People to Effectively Adapt to the Cloud

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Cloud Transformation Challenges
When it comes to cloud adoption, the
biggest challenge isn’t technology —
it’s the people and processes that
must change and adapt.”
People and Processes
“ 13 Biggest Challenges
When Moving Your
Business To The Cloud
- June 2017 article

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The AWS Cloud Adoption Framework (CAF) helps
organizations understand how cloud adoption
transforms the way they work. It leverages our
experiences assisting organizations from every
segment and every geography with their
Cloud Adoption Journey.

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The Six CAF Perspectives

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Humans are affected by migration
 Migration decisions
impact careers
 Fear and ambiguity for
management and staff
 Resistance is natural

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The Choice
Hire New Train Existing
Less expensive
Scalable
Faster
OR

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But training is the tip of the iceberg
TRAINING
A holistic approach is required
MOTIVATION
Autonomy
Mastery
Purpose

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STEP 1 – Acceptance
This is happening!

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STEP 1 – Acceptance
Kübler-Ross Change Curve
Morale/Performance
Time
Create alignment
Denial
Over communicate
Frustration
Spark motivation
Depression
Develop capacityExperiment
(with the new way)
Share knowledge
Acceptance

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STEP 2 – Training
AWS Technical Essentials course
Regions
Availability Zones
Points of Presence
Compute
VMs, Auto-scaling,
Load Balancing,
Containers, Virtual
Private Servers,
Batch Computing,
Cloud Functions,
Elastic GPUs, Edge
Computing
Storage
Object, Blocks, File,
Archivals,
Import/Export,
Exabyte-scale data
transfer
CDN
Databases
Relational,
NoSQL, Caching,
Migration,
PostgreSQL
compatible
Networking
VPC, DX, DNS
Identity
Management
Key Management
& Storage
Monitoring
& Logs
Configuration
Compliance
Web Application
Firewall
Assessment
& Reporting
Resource &
Usage Auditing
Access Control
Account
Grouping
DDOS Protection Monitoring
Manage
Resources
Resource
Templates
Configuration
Tracking
Server
Management
Service
Catalogue
INFRASTRUCTURE CORE SERVICES SECURITY & COMPLIANCE MANAGEMENT TOOLS
A broad perspective on AWS foundations

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“There is no
compression
algorithm for
experience.”
Andy Jassy, AWS CEO
STEP 3 – Safe
hands-on time

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STEP 4 – Two-pizza team
What’s a two-pizza team?
“If you can’t feed a team with two
pizzas, then the team is too large.”
- Jeff Bezos

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STEP 4 – Two-pizza team
Product Manager
“Swiss Army Knife” initially taking on
all functions of the Cloud Business
Office (CBO). Works directly with
the business and / or development
teams to generate and prioritize
backlog of what cloud services need
to be delivered to support first mover
applications.

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STEP 4 – Two-pizza team
Lead Architect
Accountable for overall cloud
technical architecture; partners with
Product Manager to translate
customer requirements into
technical deliverables; establishes
technical direction; does technical
delivery as well.

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STEP 4 – Two-pizza team
Infrastructure Engineers
Provide integrations with corporate
datacenters, shared cloud
infrastructure services; works on
engineering and continuous
improvement of infrastructure
stacks, templates, images, and
other artifacts.
Leadership

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STEP 4 – Two-pizza team
Security Engineers
Provide standardized offerings to
facilitate ongoing security and
compliance within application stacks
and the cloud environment overall;
integrates security standards and
controls products and offerings.
LeadershipInfrastructure

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STEP 4 – Two-pizza team
Operations Engineers
Provide outcomes to facilitate the
deployment of applications on
infrastructure stacks; artifact/code
repositories, upgrades, patching.
Also responsible for operational
health: metrics, logging, alerting,
inventory, capacity, and billing/tag
management.
LeadershipInfrastructure Security

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STEP 4 – Two-pizza team
Application Engineers
Representatives of the first-mover
application teams. Work closely with
the Tiger Team to provide the voice
of the customer as cloud services
are being developed.LeadershipInfrastructure Security
Operations

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STEP 4 – Two-pizza team
LeadershipInfrastructure Security
Operations
Application
Achieve speed and agility
with two-pizza teams,
while retaining reporting
structures
Teams of 8 to 10

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STEP 5 – Bring in experts
 Pair program with the partner
 Aim for self-sufficiency

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STEP 6 – Make it real
Create your two-
pizza team
Build your
product
Launch and
support your
product

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STEP 7 – Scale the learning by splitting teams
LeadershipInfrastructure Security
Operations
Application
Teams of 8 to 10
Cross functional teams
combine experts and
novices

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STEP 8 – Scale beyond the two-pizza teams
Cloud Services or Cloud Centre of Excellence
Cloud Centre of Excellence (CCoE)
OperationsInfrastructure Security
Cloud Engineering
Enterprise
Architecture
Governance
Training and
Engagement
Cloud Business office
Organizational
Change
Management
Finance

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STEP 9 – Certification
Critical mass: reach 10% certified
10%

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KNOWLEDGE
Training
Hands-on time
Make it real
Certification
Scaling Certification
SUPPORT
Acceptance
Bring in experts
Recognize and reward
Take the challenge
STRUCTURE
Two-pizza team
Scale learning by splitting teams
Create unifying job family portfolio
Start the process: Organize and plan

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Enterprise Data Lake Strategy
October 2018

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CPPIB Data and Technology VISION 2025
Innovate fast by democratizing our data and adopting cloud technology to enable new capabilities to drive
new insights to gain a commercial advantage.
30

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Foundational Components of the Technology and Data Strategy
31
Technology for investors
and portfolio
construction providing
flexible, extensible
analytics integrated with
an enterprise-wide data
platform
A data marketplace
providing full data
transparency and ease of
access to all investors and
Core Services
A core operating
platform providing a
unified, enterprise-wide
solution with
automation, seamless
system integration and a
consolidated view of all
of our investments
Platform architecture
and infrastructure
providing a scalable
compute environment to
host our platforms and
data
A B
C D
Our current Cloud use is accelerate time to value and
we are achieving scale beyond current silo
approaches
Data Marketplace
Data acquisition, cleansing,
engineering, and marketplace
Technology for IDs and Portfolio Construction
• Business architecture
• Analytics
• Knowledge sharing and
collaboration
• Data-driven
approach
• Portfolio
construction
• Optimized global
public markets
• Payments, valuations, collateral
• Risk Management
• Multi asset ledgers
• Asset servicing
• Accounting Book of Record (ABOR)
• Investment Book of Record (IBOR)
• Market and reference data
• HR, Legal
Core Operating Platform
Users (IDs and CS)
Platform Architecture and Infrastructure
A
B
C
D

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Target Data Ecosystem
32

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Cloud Data and Compute System
33

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Cloud 2.0 Achieving our Data & Analytics Vision
34
Security
Foundational Cloud Platform
CI/CD Management
& Governance
Cloud
Operations
Skills & Org
Business Enablers
Self-service access to data,
tools, and sandboxes for
testing new ideas
Central Cloud Platform
Single enabling platform for
data, analytics, and new
applications
Supporting Capabilities
Core set of capabilities
needed to operate the cloud
safely and efficiently
Cloud Platform
Data Lake
Self-service
Data Access
Machine
Learning and AI
Rapid
PrototypingThe CPPIB cloud will:
● Establish cloud as the
central repository for data
and platform for new
applications
● Create simple APIs to
consistently access data
and integrate applications
and workflows
● Implement continuous
integration and
continuous deployment
(CI/CD) to quickly and
safely test new ideas
● Build the supporting
capabilities necessary to
secure, manage and
operate in the cloud
Data Analytics
Internal Data
and Systems
External Data
and Partnerships

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Why an Enterprise Data Lake on AWS?
35

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Today’s Technology – Fragmented Data Silos
36
Requires all model data to be ready before
publishing Uses ETL to move data within the stages
Can scale only to hardware appliance
capability
Sources
HIGHLY FRAGMENTED, SILO CLEANSED AND FILTERED, MULTIPLE COPIES OF DATA, SLOW TIME TO MARKET
LIMITS ON:
• Available data
• Size of data
• Compute power
• Deployment
pace

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Benefits of a Cloud Based Data Lake
37
Access to data immediately
available in Raw
Flexibility in scaling
compute and
storage together in
machine clusters
Simplify access
wrap data in
services for end
user application
consumption
TECHNOLOGY HAS EVOLVED WHEREBY COLLECTION OF ALL DATA AS RAW, NOT MAKING COPIES, CREATING GOVERNED
BUSINESS VIEWS IN VIRTUAL STORES AND PUBLISH TO APPLICATIONS OR BI VIA SERVICES
NO LIMITS ON:
• Available data
• Size of data
• Compute power
• Timing
dependencies
on availabilities
of data

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Track: Management
Session: 1:15 PM - Digital Transformation: Empowering People to
Adapt to the Cloud
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