Hewlett Packard Enterprise (HPE) worked with the U.S. Army to successfully migrate the Total Ammunition Management Information System (TAMIS) system to AWS GovCloud. This project was part of a Department of Defense (DoD) strategic move to migrate many of its mission-critical applications to the cloud. This session will highlight how the Army leveraged the HPE Application to enable a Cloud Transformation & DevOps approach. You will hear insight from both the Army and HPE.

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Migrating a U.S. Army Application
to the Cloud
June 20, 2016

2. Presenters
Bill Link
Applications
Practice
Principal
Bob Torche
TAMIS Project
Manager
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3. TAMIS Defined
TAMIS (Total Ammunition Management Information System) is the munitions
requirements generator, prioritization tool and reporting application for the
Department of the Army and subordinate U.S. Army organizations.
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4. Inside TAMIS
• Built on Microsoft Enterprise
software and interfaces with a
variety of systems.
• Amazon Commercial Cloud (AWS)
selected July 2014
• TAMIS production is running at the
Pentagon and training instance
transitioned to Amazon December
2014
• Application delivery, acceleration
and protection via DISA Global
Content Delivery Service (GCDS)
and Akamai commercial.
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5. Applications Transformation to the Cloud
Hewlett Packard Enterprise:
1. Assessed the applications for cloud suitability
2. Defined target architecture and transformation plan/roadmap
3. Transformed and migrated application to the cloud
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6. Application to cloud suitability assessment
• Workload variability
• Security policies
• Context or core
• External dependencies
• Language of application
• Physical hardware dependencies
• Data encryption
• Operating system requirements
• Parallel processing
• Geographic requirements
• Software licensing restrictions &
vendor support
• Service level requirements
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7. TAMIS assessment-identifying the gaps
• TAMIS servers are not self sustaining - require human interaction
• Database tier is not configured to support high availability
requirements
• Predictable workload spikes caused database performance issues
• Common Access Card (CAC) authentication inconsistency between
training & production systems
• Manual testing with limited test scripts and documentation
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8. Rehost (phase one)
Benefits
• Application running in AWS using core AWS services
• Shut down legacy training instance
• Utilization of AWS storage options
• Implementation of automated regression testing and tools
• Immediate results-migration effort was 6 weeks (minus acceptance testing)
* Forklift is an AWS specific term that is typically understood to mean migrating physical hardware. In this instance, forklift refers to re-hosting
the application on AWS infrastructure.
Migrate training instance to AWS with minimal change
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9. Optimize (phase two)
Database Tier Benefits
• Database working in a high-
availability configuration
• Read instances available to assist
with heavy reporting bottlenecking
issues
• Minimal code changes, configuration
• Automated delivery of the database
infrastructure components
(Infrastructure-as-code)
Optimization of the Database and Application Tier
Application Tier Benefits
• Created scripts that start servers
without human involvement
(bootstrapping)
• Created Auto Scaling groups to adjust
compute consumption based on user
demand
• Load balance traffic and workload
across multiple servers in different
availability zones
• Position TAMIS to take advantage of
AWS pricing models
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10. Inside the TAMIS Architecture
AWS Service
Amazon EC2 Elastic Cloud Compute
Amazon EBS Elastic Block Storage
Amazon S3 Simple Storage
Service
Amazon VPC Virtual Private Cloud
AWS Identity &
Access
Management (IAM)
Identity and Access
Management
ELB Elastic Load Balancing
Auto Scaling Auto Scaling Group
Amazon
DynamoDB
AWS No SQL
database
GCDS DMDCAKAMAI
TAMIS
TAMIS
DB
Force
Structure
Stationing
Data
Policy
Guidance
Industrial
Base ERP
10© 2016 Hewlett Packard Enterprise
Tactical
ERP
Ammunition
Supply Points

11. Enabling High Velocity Delivery with DevOps
Challenge
Frequent requirements changes
required a new approach to
improve the development/test
cycles and release time to
production
TAMIS
DevOps
Results
• Improved quality and reduced regression
cycle from days to hours
• Significant defect reduction due to
automated testing using HPE Unified
Functional Test, HPE Load Runner, and
Microsoft Test Manager
• Faster deployment of new functionality
through use of DevOps automation
leveraging Continuous Integration and
Continuous Delivery capabilities
• Quick response to regulatory changes
such as security
• Scrum metrics used to manage project
due to end-to-end automation of the
DevOps lifecycle
11© 2016 Hewlett Packard Enterprise

12. Questions?
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13. Visit us at Booth 703