Applications built on a microservices-based architecture and packaged as containers bring several benefits to your organization. In this session, AWS highlights potential hurdles, how to plan your migration to microservices, and how to use containers and serverless architecture to manage this journey.

1. P U B L I C S E C T O R
S U M M I T
O T T A W A

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S U M M I T
From Monolith to Microservices
Artur Rodrigues
Solutions Architect
AWS
Dave Liggat
Cloud Infrastructure Architect
AWS

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S U M M I T
Citizens expect innovation from their public services;
organizations must innovate as rapidly as possible
FeedbackIdeas
Experiment
Innovation
Flywheel

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S U M M I T
AWS customers are pioneering modern applications
a model to identify the vehicles that are most likely
to be underutilized
finding a way to better address "vaccine hesitancy"
utilizing 216 CPUs, multiple models are executed in
10-15 minutes, instead of in10-20 hours.

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S U M M I T
What changes have
to be made
in this new world?
Architectural patterns
Operational model
Software delivery

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S U M M I T
When the impact of change is small,
release velocity can increase
Monolith
Does everything
Microservices
Does one thing

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S U M M I T
Microservices architectures
Inventory
Query
Mobile client
Client
IoT
API
Gateway
Account DB
Shipping DB
Inventory DB
Store Front
Web App
Account
Lookup
Shipment
Query
Inventory
Query

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S U M M I T
Why customers love AWS to deploy their
microservices
Microservices are a first-class citizen of the AWS Cloud
Deeply integrated
with AWS
Security and Compliance
Broad selection of compute instances
and IAM security, VPC networking,
load balancing, and autoscaling
ISO, HIPPA, PCI, SOC1, SOC2, SOC3
Infocomm Media Development Auth.
DevOps Workflow
Best place to build and operate
a complete DevOps workflow for
microservices
DEV OPS

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S U M M I T
How do I develop and deploy code in a
microservices architecture?

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S U M M I T
Monolith development lifecycle
developers
delivery pipelines
services
monitorreleasetestbuild

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S U M M I T

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S U M M I T
Containers and docker
A container is a standard unit of software that packages up code and all
its dependencies so the application runs quickly and reliably from one
computing environment to another.1
1 https://www.docker.com/resources/what-container
Server
Operating System
Docker Engine
AppA
AppB
AppC
AppD

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S U M M I T
Microservice development lifecycle
developers services
monitorreleasetestbuild
delivery pipelines
monitorreleasetestbuild
monitorreleasetestbuild
monitorreleasetestbuild
monitorreleasetestbuild
monitorreleasetestbuild

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S U M M I T
AWS Developer Tools for CI/CD
AWS CodeBuild +
Third Party
AWS CodeCommit AWS CodeBuild AWS CloudFormation
AWS CodeDeploy
Amazon CloudWatch
AWS X-Ray
Source Build Test Deploy Monitor
AWS CodePipeline

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S U M M I T
Isn’t all of this very hard now that
we have lots of pieces to operate?

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S U M M I T
Comparison of operational responsibility
AWS Lambda
Serverless functions
AWS Fargate
Serverless containers
ECS/EKS
Container-management as a service
EC2
Infrastructure-as-a-Service
More opinionated
Less opinionated
AWS manages Customer manages
• Data source integrations
• Physical hardware, software, networking,
and facilities
• Provisioning
• Application code
• Container orchestration, provisioning
• Cluster scaling
• Physical hardware, host OS/kernel,
networking, and facilities
• Application code
• Data source integrations
• Security config and updates, network config,
management tasks
• Container orchestration control plane
• Physical hardware software,
networking, and facilities
• Application code
• Data source integrations
• Work clusters
• Security config and updates, network config,
firewall, management tasks
• Physical hardware software,
networking, and facilities
• Application code
• Data source integrations
• Scaling
• Security config and updates, network config,
management tasks
• Provisioning, managing scaling and
patching of servers

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S U M M I T
Sounds great; how do we get there?

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S U M M I T
Questions & challenges on the migration journey
• Where to start?
• What to break out?
• Dependencies?
• Works as expected?
• Users happy?
• Does it scale?
• Does it perform?
• How to automate?
• Works as expected?
• Users happy?
• How to optimize?
Does it perform?
• How to automate?
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From
On-Premises Monolith
Via
Containerized Services
To
Functions & Cloud Services

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S U M M I T
Methodical migration process
Evaluate Plan Design Migrate Optimize
• Discovery
• Migration
patterns
• Well Architected
• Tool selection
• Test planning
• Cutover planning
• Migration
workloads
• Migration tools
• Validation &
cutover
• Operation
• Optimization
• Migration
Readiness
Assessment
• On-boarding
• Planning and SOW
• Portfolio
discovery
• Requirements
collection
• Landing Zone
• People - skills and
organization
• Business case, TCO
Visualize the cloud adoption effort from planning to operating on AWS

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S U M M I T
Analysis … What Should We Look For?
• Apps, Servers,
Connections
• No. of apps and servers
• Application and server
dependencies
• Performance
metrics
• Allocate and right-
size target resources
• Service naming,
tagging
• Identify patterns
• Group servers and
applications

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S U M M I T
Asset
Inventories
CMBD
Tribal
Knowledge
SLA/OLA
App
Configuration
Data
Performance
Information
Architecture
Outcomes
Applications
Infrastructure
Performance
Portfolio Discovery & Analysis Outcomes
Resource Model
Application backlog
Cost Model
AWS Application
Discovery Service
Disconnected and
Incomplete Data
Gathering Data and
Organizing
“Discovery & Planning”

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S U M M I T
Common migration strategies
There is no one-size-fits-all approach to migrating your applications

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S U M M I T
Refactoring: Monolith to microservices

24. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
S U M M I T
Artur Rodrigues
artrodri@amazon.com
Dave Liggat
dliggat@amazon.com