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Cloud Infrastructure Modernization for Scalable Community Corrections Solutions
  1. case
  2. Cloud Infrastructure Modernization for Scalable Community Corrections Solutions

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Cloud Infrastructure Modernization for Scalable Community Corrections Solutions

yslingshot.com
Government
Information technology

Current Infrastructure Limitations Hindering Growth

Legacy on-premises databases create scalability constraints, uncontrolled data growth increases storage costs and performance issues, lack of monitoring tools impedes proactive issue resolution, and manual infrastructure management causes deployment delays and inconsistencies.

About the Client

Provider of technology-enabled rehabilitation and monitoring solutions for community corrections agencies

Modernization Goals

  • Migrate from on-premises to cloud-native database architecture
  • Implement automated data lifecycle management
  • Establish comprehensive system monitoring capabilities
  • Automate infrastructure provisioning and deployment pipelines

Core System Capabilities

  • AWS PostgreSQL database migration with auto-scaling
  • Automated data archival and retention policies
  • AWS CloudWatch implementation for performance metrics
  • Terraform-based infrastructure-as-code deployment

Technology Stack

AWS GovCloud
AWS ECS/ECR
AWS RDS
PostgreSQL
Terraform
Java/.NET 6
ActiveMQ
Memcached

System Integrations

  • MariaDB legacy systems
  • DocumentDB data stores
  • Network Time Protocol (NTP)
  • Existing ankle bracelet monitoring devices

Operational Requirements

  • High scalability for government contract expansion
  • Real-time performance monitoring
  • Data security compliance (CJIS, FedRAMP)
  • Cost-optimized storage architecture

Expected Business Outcomes

Enables bidding on large government contracts through scalable architecture, reduces infrastructure costs by 40-60% through automated archival, improves system reliability with proactive monitoring, and accelerates deployment cycles by 70% via automated pipelines.

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