Health Research

Secure Cloud Platform for Health Research

Client Type: Health Research Organization
Challenge

The client required a secure, cloud-based platform to support a large-scale health research initiative. The system needed to meet strict NIST 800-53 rev 5 and FISMA Moderate security requirements, scale reliably, and support ongoing development without operational instability.

Solution

Cirrus Lake Solutions designed and supported a cloud-native platform with secure serverless infrastructure, automated deployment pipelines, and production-grade operational controls on Google Cloud Platform. DevSecOps practices were embedded throughout the lifecycle.

Results
  • Delivered a scalable, secure cloud environment meeting NIST and FISMA standards
  • Improved system stability and operational confidence across the platform
  • Enabled ongoing development without disrupting production systems
Staff Augmentation

Cloud Architecture Staff Augmentation for Emerging Platform

Client Type: Technology-Driven Organization
Challenge

Faced with aggressive growth targets and a fast-approaching production deadline, the client's internal team required immediate staff augmentation to bridge a critical engineering gap. The timeline left no room for slow ramp-ups.

Solution

Cirrus Lake Solutions deployed a specialized team to augment the client's staff, quickly mastering their existing cloud environment to deliver mission-critical AWS infrastructure. The team delivered end-to-end automation through IaC and ensured the system was production-ready to meet the deadline.

Results
  • Provided immediate relief to client's engineering team, hitting the production deadline
  • Automated infrastructure delivery using industry-standard IaC best practices
  • Improved performance, uptime, and operational visibility across the platform
AI-Enhanced Engineering

AI-Enhanced Engineering for Secure Research Systems

Client Type: Health Research Organization
Challenge

The health research platform relied on inefficient, aging legacy code that was increasingly difficult to maintain and extend. The codebase required significant modernization to meet evolving security and operational requirements, but the production timeline left no room for delays or disruptions to ongoing operations.

Solution

Cirrus Lake Solutions identified the modernization bottleneck and proactively introduced AI-augmented engineering workflows to dramatically accelerate the refactoring effort. By integrating agentic development processes into the engineering lifecycle, the team modernized legacy components at a pace that traditional methods alone could not achieve, while maintaining human-led oversight and quality standards.

Results
  • Modernized legacy system components and accelerated developer velocity, enabling the team to focus on architecture and security priorities
  • Caught vulnerabilities and edge cases earlier in the development cycle
  • Achieved zero production downtime during the modernization effort, allowing the client team to remain focused on core operations goals
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