Research / Government

Type|Cloud ModernizationTimeline|10-month migration

Environment

Government research institution requiring secure multi-cloud hybrid architecture

Environment

Government research institution requiring secure multi-cloud hybrid architecture

The Challenge

On-premises infrastructure limiting research capabilities and collaboration. High operational costs, security concerns, and inability to scale computing resources for large-scale data analysis projects.

Our Approach

Comprehensive multi-cloud migration strategy with Oracle Cloud and AWS. Infrastructure-as-code practices, automated security controls, and hybrid cloud architecture to support sensitive research workloads.

Reference Architecture

NIST 800-53 · Multi-Cloud (OCI + AWS)

Measurable Outcomes

Weeks → Hours

Infrastructure Provisioning

Burst computing enabled

Compute Scaling

Secure cross-institution channels

Collaboration

Allocation and showback implemented

Cost Visibility

Typical Outcomes

Reduced infrastructure provisioning time from weeks to hours
Enabled burst computing for large-scale data analysis workloads
Established secure collaboration channels with partner institutions
Implemented cost allocation and showback for resource optimization

Delivered System

Hybrid cloud architecture with secure connectivity to on-premises systems
Infrastructure-as-code templates for repeatable deployments
Automated security scanning and compliance monitoring
Self-service compute provisioning for research teams

Technology Stack

Oracle Cloud (OCI)AWSTerraformKubernetesQlik

More Case Studies

Healthcare / GovernmentPattern8-month implementation

Health Data Platform Modernization

Data Platform Modernization

Legacy data systems preventing real-time health analytics and decision-making across multiple facilities. Siloed data sources made it impossible to gain unified insights, while aging infrastructure created security vulnerabilities and compliance risks.

Approach

Modern data lakehouse architecture implementation using Snowflake and Databricks, with real-time data pipelines and Power BI dashboards. Robust data governance frameworks and automated ETL processes ensure data quality and regulatory compliance.

Measurable Outcomes

Batch Processing Latency

Overnight → Near-real-time

Cross-Facility Analytics

Unified under HIPAA governance

Explore This Pattern

Defense / LogisticsPattern6-month implementation

Supply Chain Analytics Transformation

AI-Powered Analytics

Critical supply chain visibility gaps affecting military readiness. Manual tracking processes led to delays in equipment delivery and maintenance scheduling, impacting operational capabilities.

Approach

AI-powered supply chain analytics platform with predictive maintenance capabilities and real-time inventory tracking. Integration of disparate logistics systems into a unified command dashboard with automated alerting.

Measurable Outcomes

Maintenance Approach

Reactive → Predictive alerting

Inventory Visibility

Days → Near-real-time

Explore This Pattern

Cloud Migration & Infrastructure Modernization

Problem Space

Approach Pattern

System Design

By the Numbers

What We Built

Technologies Used

Explore More

Health Data Platform Modernization

Supply Chain Analytics Transformation

Want Similar Results?

Cloud Migration & Infrastructure Modernization

Problem Space

Approach Pattern

System Design

By the Numbers

What We Built

Technologies Used

Explore More

Health Data Platform Modernization

Supply Chain Analytics Transformation

Want Similar Results?