General Services Administration walks you through their journey to the cloud as they modernize their application development environment. Moving an entire application development ecosystem consisting of infrastructure, applications, and database environments is a significant project. Making the choice to move to the cloud can protect your organization’s valuable resource and consequently, reduce time-consuming tasks, save money, and add efficiency. By modernizing your application development environment, you gain access to innovative technologies to run all your existing systems on a platform that also allows for integration between legacy applications and cloud-native solutions.

1. P U B L I C S E C T O R
S U M M I T
WASHINGTON, D C

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Modernizing Your Application Development
Environment with a Move to the Cloud
Cole Hubbard
Consultant
Amazon Web Services
2 9 5 3 5 2
Rick Wiggins
Consultant
Amazon Web Services
David Shive
Chief Information Officer
General Services Administration
(GSA)

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Agenda
Goals for migration
Discovery
Refactoring and Optimization
Results
The New Normal
GSA's AWS Journey with David Shive

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The Big Picture
Colocation Datacenter Shutdown
Two locations
Goal to move all applications in 2 years
Model for Migration
Applications use different techniques for migration
Need to be versed in all techniques
Readiness Assessment
Application chosen for Refactor/Optimize migration pattern
Four applications were chosen to fulfill the needed migration patterns.
Today, we will deep dive on how we refactored one of those applications.

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Current State Diagram

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Discovery Findings
MediaWiki installation
• 2 servers per environment
• 1 Database
• 1 Application
• Not accessible from internet
• Uses internal package repos
• Highly frequented
• Recovery Point
Objective/Recovery Time
Objective of 24h
• Discovery was the most complete
documentation of the application
to date

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Target State Goals
AWS Native Services
Source Control
Monitoring
Deployment
Removing Operational Pain
Resiliency
Faster release time
No midnight maintenances
Automated Backups
Lower Cost
Accountability
Scaling for time-of-day usage
Iterative DevSecOps
Multi-Environment
Governance
Guardrails

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Choosing your “R”
Rehost
Similar to moving a Virtual Machine to a new host
Great use case if speed of migration is a factor
Still not cloud-native
Replatform
Changing of the operating system or database engine
Great use case for licensing concerns or end-of-life software
Additional optimization recommended
Refactor
Cloud-native architecture built for resiliency, agility, and scalability
Optimal use case for migrations that have future state visions of architecture
Requires time and application flexibility

11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
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Choosing your “R”
Rehost
Similar to moving a Virtual Machine to a new host
Great use case if speed of migration is a factor
Still not cloud-native
Replatform
Changing of the operating system or database engine
Great use case for licensing concerns or end-of-life software
Additional optimization recommended
Refactor
Cloud-native architecture built for resiliency, agility, and scalability
Optimal use case for migrations that have future state visions of architecture
Requires time and application flexibility

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Iteration 1 –
Infrastructure to Code
 Creation of a centralized
application owned repository in
AWS CodeCommit
 Mapping legacy solution to AWS
Services
 Console step-through translation
into AWS CloudFormation
resources
End result is fully portable
deployment code that automates
provisioning of all infrastructure
Disk
Traditional
server
Amazon Elastic Compute
Cloud
Auto Scaling
Amazon Elastic File
System
AWS CloudFormation
WebServerGroup:
Type: AWS:AutoScaling::AutoScalingGroup
ElasticFileSystem:
Type: AWS::EFS::FileSystem
ScheduledJobOne:
Type: AWS::Lambda::Function
CronJobInvoker:
Type: AWS::Events::Rule
MySQL
databasesAmazon Relational
Database Service with
Read Replicas
ApplicationDatabase:
Type: AWS:RDS::DBCluster
Scheduled
Jobs
AWS Lambda functions

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Iteration 2 –
Bootstrapping
Application
Automated:
• Installation of security software and
operating system level customizations
• Deployment of application files via
AWS CodeDeploy
• Configuration steps for the
application via a series of scripts
Validation checks for each step
• Are the packages actually installed?
• Are services actually running?

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Iteration 3 – Multi-Account Deployment
Stack Stack Stack Stack

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Iteration 4 –
Monitoring and
Performance
• Identified metrics important to
the application owner
• Programmatically created
dashboard to display metrics
in a single pane of glass
• Provides real-time statistics
• Allows customer to 'zoom' in,
providing additional
granularity

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18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
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Target State Goals
AWS Native Services
Source Control
Monitoring
Deployment
Removing Operational Pain
Resiliency
Faster release time
No midnight maintenances
Automated Backups
Lower Cost
Accountability
Time-of-day usage
Iterative DevSecOps
Multi-Environment
Governance
Guardrails

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S U M M I T

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Current State Diagram

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The New Normal
• Fully documented
solution
• Iterative development
environments
• Operational pain gone
• Midnight maintenances no
longer exist
• Hardware lead times gone
• Time to release reduced to 20
minutes
• Fully logged and tracked
• From application access to
code changes

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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
Cole Hubbard
Consultant
Amazon Web Services
hch@amazon.com
Rick Wiggins
Consultant
Amazon Web Services
wigginsr@amazon.com
David Shive
Chief Information Officer
General Services Administration
(GSA)

25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
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