AWS Initiate - Inovação Rápida: O caso de negócio para desenvolvimento de aplicações modernas

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
RapidInnovation:TheBusinessCasefor
ModernApplication Development
ClaudioChiba–SolutionsArchitect

RECAP
Why do 85% of new products
fail

We build the wrong things!

WHAT IS HER GOAL????

WHY????

WHY????
Just to get in shape?

WHY????
Preparation for a competition?

WHY????
Preparation for a competition?
Her family has history of diabetes?

QUESTION
What % of your persona and
hypotheses do you think is true?

FUNDAMENTAL RULE OF
LEAN
A problem is not worth solving until
you can prove that it actually exists

We areallin thebusiness
of innovation.

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

Rapidinnovation is digitalatitscore
Strategy
Culture
Technology
Talent

Rapidinnovation evolvesthebusiness
New markets
New customer outcomesNew economics
New digital products & services

Whatittakestoenable rapid innovation
Quality Agility Velocity
Rapid
innovation

Ifyou’re good at course correcting,
being wrong may be lesscostlythanyou think, but
being slow isdefinitelygoing tobe costly

AWARE SEEKING
EARLY ADOPTER YES YES
EARLY MAJORITY YES NO
LATE MAJORITY NO NO
HOW DO YOU IDENTIFY AN EARLY ADOPTER?

ListenIterate
Experiment
Innovation
Flywheel
Experiments power theengine of rapid innovation

Amazon’s success is frequently described by the “Amazon Flywheel”.
Focusing attention on any component in the flywheel distributes more energy to all of them, and the whole system grows.
As a result, we are able to lower our cost structure which allows us to lower prices, also enhancing the customer experience.
Amazon Flywheel
Growth Customer
Experience
Traffic
Sellers
Selection
Lower
Prices
Lower Cost
Structure

Amazon Flywheel
Another flywheel drives our ability to rapidly experiment with software and services.
Customer
Value
Customer
Experience
Adoption
Feedback
Experiments
Reduce
Time to
Value
Decouple &
Empower
Customer Experience
We obsess over our customers. We listen
to them. We anticipate their needs. We
surprise and delight them frequently.
Adoption
Happy customers choose us and tell their
friends.
Our products are leveraged by customers in
ways we never dreamed of.
Reduce Time-to-Value
We reduce time to value by balancing
business, design, and engineering concern
within each product team. We leverage
automation to test and release features
frequently.
Experiments
Insights allow us to make informed
decisions on which experiments customers
value, and which ones are ignored. All of
this drives our continuously evolving
roadmap of product investments.
Decouple & Empower
We enable teams to self-manage and
release independently. Teams are
accountable for the full technology stack
and lifecycle for their products, and for not
causing disruptions to other products.
Feedback
As products gain customers, and are used
in more contexts, the more feedback we
receive. This feedback is analyzed to gain
valuable insights.

Introduction | The Flywheel is Powered by AWS
Customer
Value
Customer
Experience
Adoption
Feedback
Experiments
Reduce
Time to
Value
Decouple &
Empower
Customer Experience
We obsess over our customers. We listen
to them. We anticipate their needs. We
surprise and delight them frequently.
Adoption
Happy customers choose us and tell their
friends.
Our products are leveraged by customers in
ways we never dreamed of.
Reduce Time-to-Value
We reduce time to value by balancing
business, design, and engineering concern
within each product team. We leverage
automation to test and release features
frequently.
Experiments
Insights allow us to make informed
decisions on which experiments customers
value, and which ones are ignored. All of
this drives our continuously evolving
roadmap of product investments.
Decouple & Empower
We enable teams to self-manage and
release independently. Teams are
accountable for the full technology stack
and lifecycle for their products, and for not
causing disruptions to other products.
Feedback
As products gain customers, and are used
in more contexts, the more feedback we
receive. This feedback is analyzed to gain
valuable insights.

Adding cloud-native capabilitiestoyour applications
Assess and
prioritize, one app
at a time
Re-host (lift-and-shift)
data center  EC2
Determine
modernization
path

Assess and
prioritize, one app
at a time
data center  EC2
Re-platform (lift-tinker-shift)
VMs  containers
Determine
modernization
path

Assess and
prioritize, one app
at a time
data center  EC2
VMs  containers
Re-factor
monolith  microservicesDetermine
modernization
path

Assess and
prioritize, one app
at a time
data center  EC2
VMs  containers
Re-factor
monolith  microservices
Re-invent (cloud-native)
new serverless microservices
Determine
modernization
path

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

Bestpracticesfor enabling rapid innovation
• Componentize applications using microservices
• Secure the entire application lifecycle by automating security
• Simplify infrastructure management with serverless technologies
• Enable experimentation by creating small autonomous teams
• Update applications and infrastructure quickly by automating CI/CD
• Standardize operations by modeling apps and infrastructure as code
• Improve application performance by increasing observability

Deliver rapid innovation with
modern application development

HowAmazon builds and runs modern applications
Microservices
Componentization
Business capabilities
Products not projects
Infrastructure automation
Quality
Create high-quality
customer experiences
Agility
Focus on differentiation
and lowering costs
Velocity
Increase automation
and iteration

Serverless
No provisioning/management
Automatic scaling
Pay for value billing
Availability and resiliency
Microservices
Componentization
Agility
Focus on differentiation
and lowering costs
Velocity
Increase automation
and iteration

Serverless
No provisioning/management
Automatic scaling
Pay for value billing
Availability and resiliency
Microservices
Componentization
DevOps
Cultural philosophies
Cross-disciplinary teams
CI/CD
Automation tools
DEV OPS
Velocity
Increase automation
and iteration

Componentize applications using
microservices

Monolith
Does everything
Microservices
Does one thing

Monoliths aregood,
but theyhavesome limitations
Coordination overhead
Poor modularity
High impact of change
Poor scalability
Long build time

Eightreasons tousemicroservices
PICKTHE
RIGHTTOOL
FORTHE JOB

PICKTHE
RIGHTTOOL
FORTHE JOB
IMPROVE
RESILIENCE &
SECURITY

PICKTHE
RIGHTTOOL
FORTHE JOB
IMPROVE
RESILIENCE &
SECURITY
LOWER COSTS
WITH GRANULAR
SCALING

PICKTHE
RIGHTTOOL
FORTHE JOB
IMPROVE
RESILIENCE &
SECURITY
LOWER COSTS
WITH GRANULAR
SCALING
OPTIMIZE
TEAM
PRODUCTIVITY

PICKTHE
RIGHTTOOL
FORTHE JOB
CREATE NEW
COMPOSITIONS
EASILY
IMPROVE
RESILIENCE &
SECURITY
LOWER COSTS
WITH GRANULAR
SCALING
OPTIMIZE
TEAM
PRODUCTIVITY

PICKTHE
RIGHTTOOL
FORTHE JOB
CREATE NEW
COMPOSITIONS
EASILY
IMPROVE
RESILIENCE &
SECURITY
EXPERIMENT
AND FAIL
SAFELY
LOWER COSTS
WITH GRANULAR
SCALING
OPTIMIZE
TEAM
PRODUCTIVITY

PICKTHE
RIGHTTOOL
FORTHE JOB
CREATE NEW
COMPOSITIONS
EASILY
IMPROVE
RESILIENCE &
SECURITY
EXPERIMENT
AND FAIL
SAFELY
LOWER COSTS
WITH GRANULAR
SCALING
ADOPT
TECHNOLOGY
FASTER
OPTIMIZE
TEAM
PRODUCTIVITY

PICKTHE
RIGHTTOOL
FORTHE JOB
CREATE NEW
COMPOSITIONS
EASILY
IMPROVE
RESILIENCE &
SECURITY
EXPERIMENT
AND FAIL
SAFELY
LOWER COSTS
WITH GRANULAR
SCALING
ADOPT
TECHNOLOGY
FASTER
OPTIMIZE
TEAM
PRODUCTIVITY
DEPLOY
FEATURES SAFELY
AND QUICKLY

Microservicesare better,
but theycome withchallenges

Microservicesmake integrationapriority
MICROSERVICE
API
API
MICROSERVICE
MICROSERVICE
EVENT
API
MICROSERVICE
EVENT
API
MICROSERVICE
APPLICATION Mobile client
Client
IoT

Integration options fromAWS
Queues
Simple
Fully-managed
Any volume
Pub/sub
Simple
Fully-managed
Flexible
Orchestration
Powerful
Fully-managed
Low code
Amazon
API Gateway
Amazon
SQS
Amazon
SNS
AWS
Step Functions
Connect
Efficient
Fully-managed
Real-time
Client-to-Service Service-to-Service Orchestration

Secure the entire application lifecycle by
automating security

Address blind spots withoutslowingdown innovation
Automated, continuous security evaluation

TheAWS securityautomation toolbox
Identity
Detective
controls
Infrastructure
security
Data
protection
Incident
response

Simplify infrastructure management with
serverless technologies

NO INFRASTRUCTURE
TO PROVISION OR MANAGE
AUTOMATIC SCALING
BY UNIT OF CONSUMPTION
PAY FORVALUE
(THROUGHPUT OR DURATION)
BUILT-IN AVAILABILITY
AND FAULTTOLERANCE
Serverlessincreasesagilitywhilelowering costs

Serverless compute engine
for containers
Long-running
Bring existing code
Fully-managed orchestration
No server management
AWS Fargate
Serverless compute on AWS
Serverless event-driven
code execution
Short-lived
All language runtimes
Data source integrations
No server management
AWS Lambda

Object storage
Durable and scalable
Comprehensive security
Query-in-place
AWS serverless storage and database options
Non-relational
Performance at scale
Fully-managed
Enterprise-ready
Relational
Fully managed
High-performance
Cost-effective

Enable experimentation by creating
small autonomous teams

Owners haveautonomy
Two pizzas
Full ownership
Full accountability

Owners haveaccountability

Serverlessinfrastructureand microservices architecture
introduce new challenges
Traditional IDEs don’t support serverless environments
Traditional CI/CD does not work in serverless
Observability across microservices becomes very difficult
No consistent way to control microservices communications

Update applications & infrastructure
quickly by automating CI/CD

Automating your CI/CD
practices increases
product quality

practices increases
product quality
practices increases
developer productivity

TeamsthatautomateCI/CDshipmore code faster,
and withmore confidence
<20% 5x 44%
DevOps teams have
automated continuous
deployment pipelines
Fully automated teams
reduce update errors
five-fold
More time is spent on new
features when teams use
continuous delivery

AutomateCDpipelines for fastand reliableupdates
Continuous delivery service
Model and visualize your software release process

Standardize operations by modeling
apps and infrastructure as code

Distilloperational knowledge and expertiseinto code

Improve application performance by
increasing observability

Getting toanswersquicklymeans collectingand
aggregating asmuch dataaspossible
Observability
Metrics
LogsTraces

AWS monitoring and tracing
Complete visibility of cloud resources and
applications
• Monitor applications
• Respond to performance changes
• Optimize resource utilization
• Get a unified view of operational health
Analyze and debug production,
distributed applications
• Identify performance bottlenecks
• Troubleshoot root cause
• Trace user requests
• For simple & complex applications

Bestpracticesfor modern applicationdevelopment
• Componentize applications using microservices
• Secure the entire application lifecycle by automating security
• Simplify infrastructure management with serverless technologies
• Enable experimentation by creating small autonomous teams
• Update applications and infrastructure quickly by automating CI/CD
• Standardize operations by modeling apps and infrastructure as code
• Improve application performance by increasing observability

Benefits of modern application development
Maintain performance
Improve reliability
Protect the business and its users
Increase developer productivity
Shorten time-to-market
Increase revenue
Lower operating costs

SECURITY
AWS servicesfor modern applicationdevelopment
SERVERLESS MICROSERVICES
AWS
Lambda
AWS
Fargate
Amazon
API Gateway
Amazon Aurora
Serverless
Amazon
S3
Amazon
DynamoDB
Amazon
SNS
Amazon
SQS
AWS
Step Functions
DEVELOPMENT, DELIVERY AND OBSERVABILITY
AWS
CloudFormation
AWS
Cloud9
AWS
CloudTrail
Amazon
CloudWatch
AWS
X-Ray
AWS
CodePipeline
AWS
Config
AWS
IAM
Amazon
Cognito
Amazon
Inspector
Amazon
VPC
Amazon
GuardDuty
AWS
SSO
AWS
Shield
AWS
WAF

AMAZON CONFIDENTIAL
people, operating model and product
Building a Flywheel for the Cloud-Based Enterprise

AMAZON CONFIDENTIAL
70% of customer challenges are non-technical.
Corporate Culture
& Values
Operating
Model
Organizational
Structure
Decision Making
& Governance
Leadership
Development
Roles, Skills, and
Career Paths
Compensation &
Incentives

AMAZON CONFIDENTIAL
Retire
Retain Refactor
Repurchase
Replatform
Rehost
Determine
Discover
Sustain
Grow
Optimize
Traditional
Ops
Cloud
Ops
DevOps
OperationsEngineering
PlatformApplications
Dev
Ops
Dev Team /
COTS
Cloud Platform
Engineering
ITS
M
Dev
Ops
DevOps
Teams
ITS
M
Cloud Platform Engineering
How does my Operating Model affect my migration path to AWS?
Migration paths should be chosen to support desired business outcomes,
not to speed up migration.
DevOps
Dev Team /
COTS
Cloud
Platform
Engineering
Cloud
Operations
App
Ops
Platform
Ops
ITS
M

AMAZON CONFIDENTIAL
Code Delivery Value-Chain
89
Each ingredient is necessary, but not sufficient.
The journey to business agility on AWS cannot focus exclusively on platforms.
Product-Based Delivery: Outcomes Over Outputs
Business Development Operations Security Infrastructure
Agile
Collaborative and iterative delivery
between the Business &
Development
DevOps
High-velocity, iterative delivery
between Development,
Operations, & Security
Cloud
On-demand, global infrastructure
delivered via API-driven
automation
DoD: Definition of Done

91
Cloud computing disrupted the model for how the Business and software engineering
teams experience and consume IT services.
What did cloud change?
Basic Server, Network,
Storage & Data Services
Large, Fixed Capital
Expenses
Fixed Capacity
Crafted Manually
Asset &
Cost Model
Capacity &
Provisioning
Assortment
Comprehensive
Service Platform
Elastic and Variable
Operating Expenses
Unlimited Capacity
Directed by APIs
Central IT Challenged to
Differentiate
Low/No Barriers
to Entry (or Exit)
On-Demand, Self-Service,
& Everything as Code
From To Consequence
Central ITPurchasing Its Customers
Competitive Market
Central IT vs The Cloud
EnterprisesAccess Individuals
A Level Technology
Playing Field for All

92
There’s a catch, even in the cloud…
When software engineering teams take on the “full-stack” they either trade off development time to
address risk, or they may leave risk unaddressed, weakening the organizations risk posture. Both
choices erode their ability to sustainably deliver customer and business value.
Infrastructure
Operations
Security
Finance
Development
Differentiation Risk Mitigation
Time Spent by Team

Platform,Governance,&People
PeopleGovernance
93
Optimize your development organization to deliver agility and value at cloud-scale by creating a
Cloud Center of Excellence that programmatically mitigates risk and enables teams to self-service.
How do you provide full-stack benefits without full-stack burden and risk?
Cloud Platform Engineering
Platform Operations Security
Cloud
Architecture
Common
Infrastructure
Build, Test, &
Deploy
Operate
& Manage
Define
& Enforce
Detect
& Respond
Product
Management
Delivery
Management
Customer
On-Boarding
Financial
Management
Codified
Assets
Cloud Business Office
Cloud Leadership Team
CloudOps SecOps
Platform Engineering
Engineers and codifies enterprise
standards as self-service capabilities
that enable development teams to meet
governance requirements while
accelerating adoption
Cloud Business Office
Aligns Customer (Business &
Development) and Stakeholder
(Finance, HR, Infra, Operations, and
Security) desired outcomes to overall
cloud adoption strategy and the
capabilities provided by the CCOE.
Software Development Teams
The “Customer Partner” of the Cloud Center
of Excellence. Consumes its capabilities while
shaping and prioritizing the roadmap and user
experience by providing continuous feedback.
Org Change
Management
Training
Applications
Software Development Teams
Traditional Cloud Optimized DevOps

AMAZON CONFIDENTIAL
3
Organize teams
around products. 4
Bring the work
to the teams. 6
Decouple your
architecture.5
Reduce risk
through iteration.
Jan Dec
DeliveryCycleFundingCycle
Risk
Risk
LargeBatch
FundingCycle
M
V
P
M
V
P
M
V
P
SmallBatch
DeliveryCycle
Jan May Sept
$ $$ $
Risk
Risk
Activity-BasedTeams
Business
Design
Mgmt
PMO
Dev
Ops
BringWorktotheTeam
Work
Work
BringTeamtotheWork
Coupled
AdaptiveHomePage
Search
Cart
Account
Item
DigitalAssets
Promotions
Advertising
amazon.com
ImaginingCustomerNeedsWorkingBackwards
1
Work backwards
from the customer.
FROMTO
Item
Decoupled
Digital
Assets
Promos
Ads Search Cart
Account
Home
Page
Web Mobile
Retail Alexa
2
Re-envision the
world as products
Systems
amazon.com
Products
AdaptiveHomePage
Search
Cart
Account
Item
DigitalAssets
Promotions
Advertising
amazon.com
Customer
Experience
Adoption FeedbackExperiments
Decouple
& Empower
Reduce
Time to
Value
Product
Features &
Experiments
Insights &
Feedback
Product-BasedTeams
Two-Pizza Product Team.
Platform Teams.
Product Operating Models: Six Key Practices
To be successful in building a software delivery flywheel, six key changes are required.

Transform the customer experience
and your business
by accelerating innovation
Any starting point
Any application
Anything is possible
AWS modern application development

AMAZON CONFIDENTIAL
Obrigado!

AMAZON CONFIDENTIAL
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AWS Initiate - Inovação Rápida: O caso de negócio para desenvolvimento de aplicações modernas

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AWS Initiate - Inovação Rápida: O caso de negócio para desenvolvimento de aplicações modernas