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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Richard Ainley – AWS Solutions Architect
Leo Drakopoulos – AWS Solutions Architect
Developing History at Amazon:
from monolith to Serverless
October 2018
Agenda
• History of Developing in Amazon
• Building a serverless pipeline on AWS
• Demo
Developing History of Amazon
Monolith development lifecycle
releasetestbuild
Delivery
pipeline
App
(aka the
“monolith”)
Developers
Photo by Sage Ross. No alterations other than cropping. https://www.flickr.com/photos/ragesoss/2931770125/
Image used with permissions under Creative Commons license 2.0, Attribution Generic License (https://creativecommons.org/licenses/by/2.0/)
“service-oriented
architecture
composed of
loosely coupled
elements
that have
bounded contexts”
Adrian Cockcroft (VP, Cloud Architecture Strategy at AWS)
Services communicate
with each other over
the network
“service-oriented
architecture
composed of
loosely coupled
elements
that have
bounded contexts”
Adrian Cockcroft (VP, Cloud Architecture Strategy at AWS)
“service-oriented
architecture
composed of
loosely coupled
elements
that have
bounded contexts”
Adrian Cockcroft (VP, Cloud Architecture Strategy at AWS)
You can update the
services independently;
updating one service
doesn’t require
changing any other
services.
“service-oriented
architecture
composed of
loosely coupled
elements
that have
bounded contexts”
Adrian Cockcroft (VP, Cloud Architecture Strategy at AWS)
Self-contained; you can
update the code without
knowing anything about
the internals of other
microservices
Service-Oriented
Architecture (SOA)
Everything gets a
service interface
Primitives
“Microservices”
Decentralized
Two-pizza teams
Agility, autonomy,
accountability, and
ownership
“DevOps”
releasetestbuild
releasetestbuild
Focused agile teams
2-pizza team Delivery pipeline Service
releasetestbuild
releasetestbuild
releasetestbuild
releasetestbuild
Continuous delivery
From check-in to
production
CI/CD + release
automation
>90% of teams
Pipelines
= 50 million deployments a year
Thousands of teams
× Microservice architecture
× Continuous delivery
× Multiple environments
~11.6s
Mean time between
deployments (weekday)
~5,708
Max number of
deployments in a single
hour
~10,000
Mean number of hosts
simultaneously receiving
a deployment
~30,000
Max number of hosts
simultaneously receiving
a deployment
DEPLOYMENTS AT
AMAZON.COM
Increase
Business agility
Application stability
Ability to meet customer
demand
Time spent on innovation
Security
Decrease
Length of development cycles
Time to market
Deployment failures and
rollbacks
Time to recover upon failure
Operational overhead
DevOps Can Help
DevOps practices enable companies to innovate at a higher velocity
for customers
DevOps 5 Pillars
1. Microservices
2. Infrastructure as a code
3. Automation and Configuration Management
4. Continuous Integration and Continuous Delivery
5. Logging and Monitoring
DevOps Tooling by AWS
Continuous delivery on AWS
Source Build Test Production
Software Release Steps:
AWS CodeCommit AWS CodeBuild AWS CloudFormation
AWS CodePipeline
Demo Serverless Chat Bot
Utterances
Spoken or typed phrases that invoke
your intent
BookHotel
Intents
An intent performs an action in
response to natural language user
input
Slots
Slots are input data required to fulfill
the intent
Fulfillment
Fulfillment mechanism for your intent
Amazon
Lex
Demo
Recap
• Break the monolith with Microservices
• Change = people + process + technology
• Serverless computing will reduce your Opps
Thank you!
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless
From Monolith to Serverless

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From Monolith to Serverless