Scalable Cloud Infrastructure for Enhanced Community Supervision and Data Management

The agency currently manages on-premise databases that limit scalability and increase costs, impeding their ability to handle large volumes of monitoring data from ankle devices. Manual infrastructure management leads to delays and inconsistencies, restricting the agency's capacity to participate in larger projects and affecting overall operational efficiency.

A mid-sized government agency responsible for community corrections and probation supervision seeking to modernize its data infrastructure.

• Transition from on-premise databases to a scalable cloud-based database infrastructure to support larger data volumes and project bids.
• Implement automated data archival processes to reduce storage costs and enhance system performance.
• Develop comprehensive monitoring tools to provide real-time visibility into system health, error tracking, and data flow.
• Automate infrastructure provisioning using Infrastructure-as-Code to reduce manual management delays and ensure consistent environments.
• Position the agency to expand its project portfolio by improving system robustness, cost-effectiveness, and operational agility.

• Cloud database setup with support for large-scale data ingestion and storage.
• Automated data archival and optimization to manage storage costs and system load.
• Comprehensive monitoring dashboards for performance metrics, error detection, and data flow visualization.
• Infrastructure automation scripts for provisioning, configuration, and deployment of cloud environments.
• Secure user access controls and data security measures.

• Data ingestion modules connecting ankle monitoring devices or data sources.
• Monitoring tools for system health and error tracking.
• Security and authentication systems for role-based access control.

• Scalable architecture supporting at least 10x current data volume growth.
• System uptime of 99.9% with real-time error detection and alerts.
• Data encryption at rest and in transit for security compliance.
• Automated recovery and failover mechanisms to ensure system availability.

The project aims to significantly reduce infrastructure costs through automated data archival, improve operational efficiency via automated provisioning and monitoring, and enable the agency to handle larger datasets and participate in larger projects. Expected outcomes include enhanced system reliability, cost savings of up to 50% on storage costs, and increased scalability supporting expanded project portfolios.