Innovation and agility are not for startups only, getting a competitive edge requires combining cloud-based tools and business challenges in innovative ways to drive operating efficiency, open new revenue streams, and evolve customer engagement models. In this session we will imagine the future. We will explore how to transform with Cloud to drive your future.

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Transform with Cloud to Drive
your Future
Yaki Zakai
Manager, Solutions Architecture
Amazon Web Services
S K L 2 0 1

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15 years
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Average life span of an
S&P 500 company in the year 2015:
15 years
Image: Unsplash
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Average life span of an
S&P 500 company in the year 2015:
15 years
In the 1920s:
67 years
Image: Unsplash
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Things change.

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We are all in the
business of innovation.

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Exploit
existing
capabilities
Make your
numbers
Explore new
opportunities
Rapid innovation is an imperative
Incubate
new ideas

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Rapid innovation is digital at its core
Strategy
Culture
Technology
Talent

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Two Big Goals for IT
Reduce the cost of
supporting current
technology
Lead innovation and
transformation of business

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Why is this a challenge for IT?
Two-thirds of current IT budgets
dedicated to supporting existing systems
and applications

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and move faster
How can enterprises devote more resources
to the things that matter
while being more secure?

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How Cloud Helps
Culture &
Organization
Innovation
Speed &
Agility
Security &
Governance
Finance

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How Cloud Helps
Culture &
Organization
Innovation
Speed &
Agility
Security &
Governance
Finance

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Q:
What is the ratio of
non-technical vs. technical challenges
faced by most companies in
their transformation?

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70 30

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Most of the challenges
customers face in their
transformation
are non-technical.

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Fear and ambiguity
Resistance is natural
Impacts careers
The Human Element

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challenged
by the board of directors
pick up the pace
their industry will be digitally disrupte
15% well-positioned to
execute
Change is happening
Source: Gartner
47%
67%
90%

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Andy Jassy
AWS CEO
“There is no compression algorithm for
experience.”

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Cloud Center of Excellence / Tiger Team
Cost management Migration management
LeadershipInfrastructure SecurityOperationsApplications
Hybrid architecture Reference architecture Identity management
CertificationTraining

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Amazon Machine
Image
B u i l d y o u r p r o d u c t
S u p p o r t
y o u r
p r o d u c t
C r e a t e
C C O E
Ship Something Important

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Experienced
First teams had learned a lot…

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Learners
Experienced
Adding new team members...

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Learners
Experienced
Ramp up
Initial approach: Split teams to share knowledge

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Learners
Experienced
Ramp up
Learned: Coach, don’t split
Coaching

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Cultural Trends We Are Seeing
Moving from
 Failure is not an option
 The big bang
 Command-and-control
 Silos “throw it over the wall”
 IT as a contracted service
 Standardization
 Talent outsourcing
Moving toward
Learning (start small, experiment, and iterate)
Rapid series innovation
Decentralized ownership (guardrails via cloud CoE)
DevOps and cross-functional teams
IT as a partner of the business
Reference architecture, no religion, few standards
Talent insourcing/niche partnering

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How Cloud Helps
Culture &
Organization
Innovation
Speed &
Agility
Security &
Governance
Finance

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ListenIterate
Experiment
Innovation
Flywheel
Experiments power the engine of rapid
innovation

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J O I I TO | D I R E C TO R | M I T M E D I A L A B
IF YOU WANT TO
I N C R E A S E
I N N O V A T I O N
Y O U H A V E T O
L O W E R T H E
COST OF FAILURE

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Lower the cost of Failure through
Experiment early &
frequently
Is it a one-way or
a two-way door?
Self-service platforms
without gatekeepers

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Building new service
Identifying abusive content in picture download
Amazon RekognitionAWS Lambda
AWS Cloud
AWS Fargate
Amazon API Gateway
S3

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How Cloud Helps
Culture &
Organization
Innovation
Speed &
Agility
Security &
Governance
Finance

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Common barriers to rapid innovation
Too much time is spent
on things that don’t
deliver business value
You have to integrate
with your existing
repertoire of applications

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Microservices and innovation
Monolithic application Microservices

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AWS
Lambda
AWS
Fargate
Amazon
API Gateway
Amazon
SNS
Amazon
SQS
AWS
Step
Functions
COMPUTE
DATA STORES
INTEGRATION
Amazon
Aurora
Serverless
Amazon
S3
Amazon
DynamoDB
AWS
AppSync

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Development transformation at Amazon: 2001-
2002
monolithic application +
teams
2001
Lesson learned: Decompose for agility
2002
microservices
+ 2 pizza teams

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Most Robust, Fully Featured Technology Infrastructure
Platform TECHNICAL & BUSINESS SUPPORT
MARKETPLACE
HYBRID ARCHITECTUREANALYTICS MOBILE SERVICESDEV/OPS IoT AI ENTERPRISE APPS MIGRATION
APP SERVICES
SECURITY & COMPLIANCE MANAGEMENT TOOLSINFRASTRUCTUR
E
CORE SERVICES

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Integrated Networking
Rules Engine
Device Shadows
Device SDKs
Device Gateway
Registry
Local Compute
Machine Learning
Conversational
Interface
Virtual Desktops
App Streaming
Schema
Conversion
Image Recognition
Sharing &
Collaboration
Exabyte-Scale
Data Migration
Text to Speech Corporate Email
Application
Migration
Database
Migration
Regions
Availability Zones
Points of
Presence
Data Warehousing
Business Intelligence
Elasticsearch
Hadoop/Spark
Data Pipelines
Streaming Data
Collection
ETL
Streaming Data
Analysis
Interactive SQL
Queries
Queuing & Notifications
Workflow
Email
Transcoding
Deep Learning
Frameworks
Server
Migration
Communications
Business Apps
Business
Intelligence
DevOps Tools Security Networking StorageDatabases
API Gateway
Single Integrated
Console
Identity
Sync
Mobile Analytics
Mobile App
Testing
Targeted Push
Notifications
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource Templates
Build and Test
Analyze and Debug
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
Support
Professional
Services
Optimization
Guidance
Partner
Ecosystem
Training &
Certification
Solutions Management
Account
Management
Security & Billing Reports
Personalized
Dashboard
TECHNICAL & BUSINESS SUPPORT
MARKETPLACE
Monitoring
Manage
Resources
Data Integration
Integrated Identity &
Access
Integrated Resource &
Deployment Management
Integrated Devices
& Edge Systems
Resource
Templates
Configuration
Tracking
Server
Management
Service
Catalogue
Search
HYBRID ARCHITECTUREANALYTICS MOBILE SERVICESDEV/OPS IoT AI ENTERPRISE APPS MIGRATION
APP SERVICES
INFRASTRUCTURE CORE SERVICES SECURITY & COMPLIANCE MANAGEMENT TOOLS
AWS Capabilities

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Time to value
The fast
companies are 440x faster than
the slow
Months Hours
We found that, compared to low performers, high performers have:
46 times more frequent code deployments
440 times faster lead time from commit to deploy
170 times faster mean time to recover from downtime
5.0 times lower change failure rate (1/5 as likely for a change to fail)
https://itrevolution.com/book/accelerate/

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Business Agility: Case Studies
“More than 80% of IT expenditure at
AFG was consumed by IT operational
costs… Today, 60 percent of our IT
expenditure is dedicated
to innovation.”
“Our projects no longer last years—
they last months. Which means that
we can deliver new features to our
customers much faster than we
had before."
“We are able to use AWS to
reduce the time required to
deploy infrastructure from
weeks to days or hours.”
Increased product development
rate by 30%
Deploy instances 90% faster
Provisioning time reduced
from four weeks to two days

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Best practices for enabling rapid innovation
• Componentize applications using microservices
• Simplify infrastructure management with serverless technologies
• Enable experimentation by creating small autonomous teams

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How Cloud Helps
Culture &
Organization
Innovation
Speed &
Agility
Security &
Governance
Finance

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- Define
- Discover
- Monitor
- Manage
- Report
- Respond
- Agility
- Innovation
Governance
Developmentspeed
The Challenge of Governance vs. Agility

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With AWS you can programmatically:
• Define provisioning and configuration of
resources
• Continuously discover new resources
and changes to existing resources
• Monitor resources and operations for
compliance
• Manage, report on, and respond to
changes to your resources
- Define
- Discover
- Monitor
- Manage
- Report
- Respond
- Agility
- Innovation
Governance
Developmentspeed
AWS enables you to do both

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Services to improve governance and agility
Integrated & interoperable

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The AWS security automation toolbox
Identity
Detective
controls
Infrastructure
security
Data
protection
Incident
response

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How Cloud Helps
Culture &
Organization
Innovation
Speed &
Agility
Security &
Governance
Finance

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used last month
predict next month

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The five pillars of cost optimization
Pay as you go, use what you need
Right-sizing &
Tagging
Pick the right
pricing model Increase elasticity
Measuring &
monitoring
Match usage to
storage class

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Data storage and compute
“Through the shift to AWS we
achieved a saving of up to 50% in
storage costs, 20% in computational
power, and reduced the time required
to provision 3–4 weeks to two days.”
Fabio Veronese
Head of ICT Solution Center
Infrastructure and Networks
Enel
Faster, simpler, less expensive
• 6,000 servers migrated to AWS between Sept. 2015 and
April 2016
• Up to 50% savings on storage through right-sizing and
20% savings on computation power with reserved
instances
• Provisioning lead time improvement 3–4 weeks to 2 days

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CHALLENGE
Needed to analyze data to find
insights, identify opportunities, and
evaluate business performance.
The Oracle DW did not scale, was
difficult to maintain, and costly.
SOLUTION
Deployed a data lake with Amazon
S3, and run analytics with Amazon
Redshift, Amazon Redshift Spectrum,
and Amazon EMR.
Result: They doubled the data stored
(100PB), lowered costs, and was
able to gain insights faster.
50 PB of data
600,000 analytics jobs/day

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IT’S NOT JUST AMAZON…

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VALUE
TIME
Stages of Adoption/Enterprise Transformation
Experiment &
Education
Establish
Landing Zone
Cloud Tiger
Team
Cloud COE
Training &
Certification
Migrate
Production
Workloads
Business Case
Operations and
Security
Processes
Data Center
Migrations
Organization
Change
Management
PROJEC
T
REINVENTION
FOUNDATION
MIGRATION

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Best practices for modern application
development
• Enable experimentation by creating a culture of ownership
• Componentize applications using microservices
• Update applications and infrastructure quickly by automating the
release pipeline
• Model and provision application resources using infrastructure as
code
• Simplify infrastructure management with serverless technologies
• Improve application performance by increasing observability
• Secure the entire application lifecycle by automating security

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15:50 – 16:30 Blur the boundaries between your on-premises to AWS cloud
by embracing VMWare, Microsoft and other hybrid solutions
David Twizer
Related breakouts
15:50 – 16:30 Budget management with Cloud Economics
Orel Strassman
16:40 – 17:20 AWS Layered Security Solutions
Shllomi Ezra
15:00 – 15:40 Data Migrations - which option is best for you?
Ronen Amrani
14:10 – 14:50 Solutions for Storage and Data Migrations
Tzoori Tamam

61. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Yaki Zakai
Manager, Solutions Architecture –
Amazon Web Services
http://bit.ly/2SGYHp4