Building Highly Scalable Retail Order Management Systems with Serverless

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This document discusses building scalable retail order management systems using serverless architecture. It begins with an introduction to serverless computing and examples of serverless applications. The document then discusses challenges with traditional monolithic retail architectures and key principles for building scalable order management systems. It provides a case study of how one company implemented microservices and serverless functions to improve order processing and data access. The presentation concludes with a Q&A section.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Bastien Leblanc
Solutions Architect, Amazon Web Services
Charlie Wilkinson
Head of Architecture, River Island
Building Highly Scalable
Retail Order Management Systems
with Serverless

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What to expect from this session?
Serverless introduction & typical use cases
Current architecture challenges
Architecture Principles for Order Management
Feedbacks and future thoughts
Q&A

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Serverless

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Serverless Means …
No servers to provision
or manage
Scales with usage
Never pay for idle Built-in availability and
fault tolerance

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Serverless Applications
Services (anything)
Changes in
data state
Requests to
endpoints
Events on a
stream
Event source AWS Lambda function
Node.js
Python
Java
C#
Go

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Serverless Orchestration: AWS Step Functions
Productivity, Agility, Resilience

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon DynamoDB: Managed NoSQL in the Cloud
Fast, Consistent Performance
Highly Scalable
Flexible
Fine-grained Access Control
Fully Managed

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Serverless Application Use Cases
E-commerce
• Static
websites
• Complex web
apps
• Packages for
Flask and
Express
Data
processing
• Real time
• MapReduce
• Batch
• Machine
learning
inference
Chatbots /
Alexa
• Powering
chatbot logic
• Powering
voice-enabled
apps
• Alexa
Skills Kit
Backend
Systems
• Apps and
services
(Order,
Supply Chain)
• Mobile
• IoT
</></>
AI/ML
• Powering
Visual
Analytics
platform

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
History lesson:
Hairball architecture
WMS
OMS
Core
Merchandising
Website
New orders
Dispatch result
New orders
Payment provider
Authorisation
Payment capture

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Batch processing: Because 3am callouts are fun!
• Peaky CPU usage
• One dodgy input kills the batch
• One dead batch blocks the rest
• One broken step kills the chain
• Data is not timely

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Architectural Principles

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Surface business
events
Easy, timely access
to master data
A
G
I
L
I
T
Y
Guiding objectives

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Key architectural principles
Breakdown the
existing monolith
Decouple our core
systems
Reduce dependency
on batch jobs
Expose our business
events
Make our data easily
accessible
Operational
simplicity

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Case Study: Improving the way we
process our orders

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Microservices order pipeline

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Asynchronous: Order validation microservice

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Synchronous: Order payment microservice

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Make our data easily accessible - Data lake

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Monitoring

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Q&A

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Please complete the session survey in the
summit mobile app

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THANK YOU !

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Database Week at the San Francisco Loft: Microservices and Data Design Microservices are an architectural and organizational approach to software development where software is composed of small independent services that communicate over well-defined APIs. Microservices architectures make applications easier to scale and faster to develop, enabling innovation and accelerating time-to-market for new features. We’ll explore best practices for microservice design and the data design needed to support microservices, using Aurora, RDS, DynamoDB, DAX, ElastiCache, and Lambda and we’ll do a design exercise in converting a monolithic solution to a microservices design.

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Building Highly Scalable Retail Order Management Systems with Serverless

1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Bastien Leblanc Solutions Architect, Amazon Web Services Charlie Wilkinson Head of Architecture, River Island Building Highly Scalable Retail Order Management Systems with Serverless

2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. What to expect from this session? Serverless introduction & typical use cases Current architecture challenges Architecture Principles for Order Management Feedbacks and future thoughts Q&A

4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Serverless Means … No servers to provision or manage Scales with usage Never pay for idle Built-in availability and fault tolerance

5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Serverless Applications Services (anything) Changes in data state Requests to endpoints Events on a stream Event source AWS Lambda function Node.js Python Java C# Go

7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon DynamoDB: Managed NoSQL in the Cloud Fast, Consistent Performance Highly Scalable Flexible Fine-grained Access Control Fully Managed

8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Serverless Application Use Cases E-commerce • Static websites • Complex web apps • Packages for Flask and Express Data processing • Real time • MapReduce • Batch • Machine learning inference Chatbots / Alexa • Powering chatbot logic • Powering voice-enabled apps • Alexa Skills Kit Backend Systems • Apps and services (Order, Supply Chain) • Mobile • IoT </></> AI/ML • Powering Visual Analytics platform

10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. History lesson: Hairball architecture WMS OMS Core Merchandising Website New orders Dispatch result New orders Payment provider Authorisation Payment capture

11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Batch processing: Because 3am callouts are fun! • Peaky CPU usage • One dodgy input kills the batch • One dead batch blocks the rest • One broken step kills the chain • Data is not timely

14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Key architectural principles Breakdown the existing monolith Decouple our core systems Reduce dependency on batch jobs Expose our business events Make our data easily accessible Operational simplicity

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