Case study
Case study
Client: Selective Service System (SSS)
Industry: Federal Government, Cloud Modernization
Cloud7Works, as the prime contractor, is leading a comprehensive 24-month modernization of the Selective Service System’s Registration, Compliance, and Verification (RCV) platform. This initiative transitions the legacy .NET monolith into a cloud-native architecture built on Java/JEE, React, Angular, and microservices. The solution integrates NIST 800-53 R5 security compliance, Agile delivery, and DevSecOps practices, ensuring performance, resilience, scalability, and operational transparency.
SSS’s legacy RCV platform presented major operational and technical risks:
• Obsolete technologies and a tightly coupled monolithic .NET architecture
• Lack of scalability, redundancy, and modern security controls
• Complex system dependencies that inhibited future enhancements
• Incompatibility with federal cloud-first modernization mandates
1. Application Rationalization
Cloud7Works conducted a rigorous application assessment leveraging the CIO.gov framework.
Key Activities:
• Applied the CIO.gov Application Rationalization Playbook over 12 weeks
• Developed business value and technical fit reports to identify technical debt
• Created application scorecards rating risk, readiness, and cloud alignment
• Proposed a cloud-aligned target architecture across application, data, and security domains
2. Cloud Refactoring and Modernization
The application was transformed into a modern, scalable architecture.
Key Highlights:
• Migrated from .NET to Java/JEE with React and Angular front-ends
• Refactored over 500,000 lines of VB.Net to Spring/Java
• Established AWS Organization and integrated user federation
• Adopted autoscaling, fault-tolerant microservices
• Implemented warm-standby Disaster Recovery
3. DevSecOps and CI/CD Implementation
Security and automation were embedded from the start.
Key Actions:
• Built secure CI/CD pipelines using AWS FedRAMP-compliant tooling
• Automated infrastructure deployment with Terraform
• Integrated unit and regression testing
• Implemented AWS SecurityHub and Config to identify and resolve security gaps
4. Database Migration to Cloud
The team ensured secure, performant, and compliant data migration.
Implementation Details:
• Analyzed downtime tolerance and interdependencies
• Right-sized AWS RDS using telemetry and performance requirements
• Enabled Transparent Data Encryption (TDE) and SSL/TLS for secure transport
• Deployed SQL Server Audit and CloudTrail for logging
• Provisioned multi-AZ and cross-region DR with automated backups
• Achieved short RTO and zero RPO targets
5. Quality Assurance
A robust testing framework supported stability and early defect detection.
Tools and Technologies:
• Postman for API testing
• Cypress for front-end automation
Implementation Highlights:
• Maintained critical path test suites
• Developed reusable Agile-aligned test cases
• Conducted load and cross-browser testing (Chrome, Firefox, Edge)
• Performed exploratory testing in every sprint
Challenges & Mitigations:
• Used environment-specific data scripts to handle volatile test data
• Optimized Playwright timing to reduce flakiness
• Standardized configuration baselines across test environments
• Simulated attack scenarios to validate QA security coverage
Results Achieved:
• Accelerated release cycles
• Reduced defect rates and time-to-resolution
• Strengthened ATO readiness via embedded security QA
• Fostered collaboration through QA involvement from project inception
6. Cloud Architecture, Design, and Runbooks
An AWS-native architecture was built for resiliency, observability, and cost efficiency.
Key Design Principles:
• Built on the AWS Well-Architected Framework
• Amazon ECS with Fargate for serverless container orchestration
• ALB with AWS WAF for secure ingress traffic control
• RDS deployed with least-privilege IAM and secure subnets
• CI/CD integrated via AWS CodePipeline, CodeBuild, CodeCommit, and ECR
Operational Visibility:
• Amazon CloudWatch and CloudTrail for monitoring, logs, and auditing
• Centralized dashboards and alerts for rapid incident detection
Cost Optimization:
• Fargate-based autoscaling for compute efficiency
• RDS right-sizing and intelligent storage tiering
• Route 53 with ALB for high availability at minimal cost
Environment Support:
• DEV, TST, and PROD managed via IaC templates in isolated AWS accounts
Runbook Highlights:
• ECS deployment, secret rotation, health checks, and snapshot recovery procedures
• Designed for use by DevOps engineers and on-call support teams
7. Cybersecurity & ATO Compliance
Compliance was prioritized through structured security engineering and documentation.
IAM Access:
• AWS Managed Microsoft AD
• IAM Identity Center to Manage Users/RBAC based on On-Prem AD
• AWS Account IAM for MFA and SSO
• Keycloak
Steps Taken:
• Implemented CSPM compliance scanning with AWS Security Hub (NIST 800-53 R5 aligned)
• Performed CWP vulnerability scanning with Amazon Inspector for VMs and containers
• Conducted code analysis using Veracode (SAST, SCA, DAST)
• Developed SSP documentation with FedRAMP Moderate CRM artifacts
• Authored SOPs covering patching, encryption, access control, and IR
• Integrated AWS logs with Splunk (SIEM)
• Delivered training on CloudTrail/CloudWatch log insights and alerting
8. Project Management/Agile Management
Delivery was structured through disciplined Agile project governance.
Activities:
• Aligned PM practices with SSS QASP standards
• Coordinated delivery via Scrum teams and cross-functional roles
• Used Jira for sprint planning, backlog tracking, and velocity measurement
• Held daily standups, sprint reviews, and planning sessions
Deliverables:
• Approved Project Management Plan (PMP), Quality Control Plan (QCP), and Staffing Matrix
• Weekly reports covering milestone progress, risks, and quality metrics
9. Training and Enablement
A comprehensive knowledge transfer program ensured operational readiness.
Scope:
• Training covered database architecture, DevSecOps, DR, Security, AWS Dashboard, New System Usage, Infrastructure, Built & Deployment, and QA
• Sessions conducted in TST and QAT environments
Resources Delivered:
• Live walkthroughs in DEV, TST, and QAT environments
• User guides and “How-To” manuals tailored to roles
Knowledge Retention:
• All training sessions were recorded and shared securely for reuse and onboarding
10. Infrastructure as Code/DevSecOps
Terraform underpinned repeatable, secure infrastructure provisioning.
Key Capabilities:
• Automated build, test, and deployment via CI/CD pipelines
• IaC templates for DEV, TST, and PROD environments
• Automated access control and log centralization
• Ensured environment consistency for updates and promotion
• Simplified failover/failback for DR scenarios
11. Vulnerability Management
A multi-layered approach enabled secure code and infrastructure.
Tools Used:
• Veracode (CI/CD-integrated code scanning)
• AWS Security Hub (FedRAMP-aligned infrastructure checks)
• Splunk (unified logging and real-time threat detection)
12. UX Analysis
User-centric, iterative design approach driven by real feedback and evolving needs.
Key Highlights:
• Conducted in-depth user research and stakeholder interviews to define personas.
• Created low- and high-fidelity wireframes using Figma for early visualization.
• Reduced rework through iterative design and early usability testing.
• Provided developer-ready design assets for seamless implementation.
Tools Used:
Wireframing & Prototyping: Figma
Collaboration & Brainstorming: Miro
13. Requirements Gathering
An Agile, stakeholder-centric discovery process aligned technical and business goals.
Discovery Phase:
• Facilitated Joint Requirements Planning (JRP) with IT, security, and operations stakeholders
• Defined modernization goals and compliance expectations
Design Workshops:
• Conducted collaborative sessions to shape UI/UX and workflows
• Promoted early stakeholder engagement and reduced downstream rework
Agile Development:
• Delivered functional increments via defined sprint cycles
• Collected feedback during sprint reviews to guide iteration
Results:
• Delivered a secure, scalable, and compliant system
• Successfully aligned technical design with business operations and federal standards
14. Generative AI (using Co-Pilot)
Cloud7Works introduced Generative AI experimentation for future innovation.
Implementation:
• Deployed open-source AI tools on EC2
• Configured accessible web UI via Ollama for sandbox exploration
DevOps & Automation:
• AWS CodePipeline
• CI/CD Pipelines
• Infrastructure as Code (IaC)
• Terraform
Security & Compliance:
• AWS Security Hub (CSPM Compliance)
• AWS Inspector (CWP Vulnerabilities)
• Veracode (SAST/SCA/DAST)
• Splunk (SIEM)
Cloud Infrastructure:
• Amazon Web Services (AWS)
• FedRAMP-Authorized IaaS & PaaS
• Zero Trust Network Access
UI/UX Design
• Figma
• Lucidchart
Databases:
• Microsoft SQL Server
• Transparent Data Encryption (TDE) Enabled
Monitoring & Logging:
• AWS Security Hub (Compliance Monitoring)
• Amazon Inspector (Vulnerability Monitoring)
• Amazon CloudWatch (Logging)
• AWS CloudTrail (Logging)
• Secured Logging & Centralized Monitoring Systems
Project & Planning Tools:
• Microsoft Project
• Smartsheet
• Jira
• Confluence
• Program Manager
• Project Manager/Scrum Master
• Project Coordinator
• Database Architect
• UX Designer
• Development Lead
• React Engineer
• Full-Stack Engineer
• .NET Developer
• Java Developer
• Solution Architect
• Cybersecurity Architect
• Cloud Architect
• Enterprise Architect
• DevSecOps Engineer
• Cloud Engineer
• QA/Test Engineer
1. Contract Number# 90MC0023P0041
Status: Project Currently In Progress
Project Currently In Progress