By applying microservices powered by serverless technology, you can innovate faster, at scale. In this session, we share insights into the Amazon Culture of Innovation and explain how the company went from four million to over 60 million deployments per year. We discuss how the company benefitted from its own key learnings through building modern apps at Amazon. We also discuss how Amazon transitioned from a monolithic application environment to an event-driven serverless microservices environment. Learn why more and more organizations are choosing the serverless operational model.

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
How to speed up and scale your
innovation efforts
Rory Richardson
Head of business development for serverless
Amazon Web Services
M A D 2 0 3

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

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Two-pizza teams are fast & agile
Full ownership & autonomy
You build it, you run it
DevOps—small, nimble teams
Focused innovation

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Deployment at scale
1000s of
teams
Micro-
services
CI/CD Serverless
>60 million deployments a year*

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compute

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LEVELOFABSTRACTION
FOCUS ON BUSINESS LOGIC
PHYSICAL MACHINES
Requires “guess” planning
Lives for years on premises
Heavy investments (capex)
Low innovation factor
Deploy in months
Computing evolution—A paradigm shift

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LEVELOFABSTRACTION
FOCUS ON BUSINESS LOGIC
VIRTUAL MACHINES
Hardware independence
Faster provisioning speed (minutes/hours)
Trade capex for opex
More scale
Elastic resources
Faster speed and agility
Reduced maintenance
Computing evolution—A paradigm shift

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LEVELOFABSTRACTION
FOCUS ON BUSINESS LOGIC
CONTAINERIZATION
Platform independence
Consistent runtime environment
Higher resource utilization
Easier and faster deployments
Isolation and sandboxing
Start speed (deploy in seconds)
Computing evolution—A paradigm shift

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AWS Lambda
AWS Fargate
LEVELOFABSTRACTION
FOCUS ON BUSINESS LOGIC
Continuous scaling
Fault tolerance built in
Pay for value
Zero maintenance
SERVERLESS
Computing evolution—A paradigm shift

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Leapfrog adoptionCAPACITYPROCESSESCOSTMODELS
OPERATIONAL PROCESSES DEVELOPME NT MODELS
ONPREMISESCLOUD
“LEGACY” ARCHITECTURES MODERN ARCHITECTURES
Amazon Elastic Compute
Cloud (Amazon EC2)
Amazon
ECS
FargateAmazon
EKS
Containers
Amazon Elastic Container
Service (Amazon ECS)
Fargate
Amazon Elastic Container Service
for Kubernetes (Amazon EKS)

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Organic adoptionLAMBDAUSAGE
LOG PROCESSING:
CRON JOBS
DATA TRANSFORMATION MICROSERVICES
DEVELOPER DIRECTOR EXECUTIVE
Adoption Curve

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Data transformation has two flavors
LINEAR NON-LINEAR

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Organic adoptionLAMBDAUSAGE
LOG PROCESSING:
CRON JOBS
DATA TRANSFORMATION MICROSERVICES
DEVELOPER DIRECTOR EXECUTIVE
CONSIDERATIONS
Rapid development
Time to market—agility
Organizational changes
Long-term commitment
Production
Mission Critical
Adoption Curve

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Mono to micro
Moving monolithic applications
to microservices by gradually
creating events and APIs for
various components of the legacy
application
The Strangler Pattern

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Lambda Fargate
Amazon
API Gateway
Amazon Simple
Notification
Service
(Amazon SNS)
Amazon Simple
Queue Service
(Amazon SQS)
AWS
Step Functions
COMPUTE
DATA STORES
INTEGRATION
AWS
AppSync
Amazon Aurora
Serverless
Amazon Simple
Storage Service
(Amazon S3)
Amazon
DynamoDB

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Architecture diagrams change from simple …
APPLICATION SERVERS
DATABASE SERVERS
WEB SERVERS

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… to more complex
MICROSERVICE
API
API
MICROSERVICE
MICROSERVICE
EVENT
API
MICROSERVICE
EVENT
API
MICROSERVICE
APPLICATION
Mobile client
Client
IoT
PERSISTENCE PERSISTENCE

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APIs are the front door of microservices

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2002—Bezos API mandate
• All teams will henceforth expose their data and functionality through service interfaces.
• Teams must communicate with each other through these interfaces.
• There will be no other form of inter-process communication allowed: no direct linking, no direct
reads of another team’s data store, no shared-memory model, no back-doors whatsoever. The
only communication allowed is via service interface calls over the network.
• It doesn’t matter what technology they use.
• All service interfaces, without exception, must be designed from the ground up to be
externalizable. That is to say, the team must plan and design to be able to expose the interface to
developers in the outside world. No exceptions.
“Anyone who doesn’t do this will be fired. Thank you; have a nice day!”

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Event-driven architectures

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Queues
Simple
Fully managed
Any volume
Pub/sub
Simple
Fully managed
Flexible
Amazon SQS Amazon SNS
Messaging
Synchronization
Rapid
Fully managed
Real-time
Amazon CloudWatch
Events
Decouple state from code using messaging

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Cloud-native architectures are small
pieces, loosely joined

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Decoupling your data

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Data becomes part of each microservice

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developers
delivery pipelines
services
monitorreleasetestbuild
Monolith development lifecycle

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developers services
monitorreleasetestbuild
delivery pipelines
monitorreleasetestbuild
monitorreleasetestbuild
monitorreleasetestbuild
monitorreleasetestbuild
monitorreleasetestbuild
Microservice development lifecycle

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OPERATIONS
Traditional App Development
Serverless App Development
TCO & the changing role of operations
DEVELOPMENT
Launch

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Lambda as a mainframe in the cloud

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Why are customers choosing to move to
serverless microservice?
Increase business
agility
Optimize costs by
paying only for what
you use
Reduce
undifferentiated
heavy lifting

34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Characteristics of a modern digital business
Customer
Obsessed
Modern Digital
Business
Organized
for Value
Technology
at the Core
Strategic Use
of Data
Test & Learn
Culture
1000x more market events
Querying from mins to secs
Home delivery in 4 months
Scalable to 1M orders/hour
New features in weeks
Enabling developers globally
Invest, test, learn, & fail quickly
Retrained 2500 employees to agile

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Organized for Value
Test & Learn Culture
Strategic Use of Data
Customer Obsession
Technology at the Core
You’re Here You Want to Get Here
Transformation Roadmap
The journey of digital fluency

36. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Win
Customers
Build better
products
Innovate
more often
Release
features
faster
Focus on
business
logic
Decouple
software
systems
Our goal is to automate and abstract away as much as is possible so customers can focus on
building applications for their business
We are witnessing a paradigm shift

37. Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Rory Richardson
roryrich@amazon.com