QyrosCloud migrated Red Hawk Roofing's on-premises weather intelligence system to AWS, enabling AI-powered geospatial analytics at scale. The serverless architecture leverages Amazon Bedrock for weather pattern analysis, S3 for geospatial data storage, and Lambda for real-time processing — giving Red Hawk the ability to proactively deploy crews based on predictive storm modeling.
What was at stake.
Red Hawk Roofing required a modern platform capable of processing large volumes of weather and geospatial data while supporting real-time analytics and future AI use cases.
The existing on-premises environment presented several limitations, including limited observability into system performance and failures, manual infrastructure management leading to operational overhead and lack of automated governance and compliance controls.
“Red Hawk Roofing partnered with QyrosCloud to migrate its weather intelligence platform from on-premises infrastructure to Amazon Web Services, enabling scalable analytics, improved operational visibility, and future AI capabilities. QyrosCloud designed and deployed a cloud-native, production-grade platform using a geospatial lakehouse architecture and serverless-first design principles. The solution incorporated Amazon Bedrock and LangGraph to support intelligent data processing and AI-driven insights. Beyond migration, the engagement focused on establishing strong Cloud Operations foundations, enabling Red Hawk to operate the platform with greater reliability, visibility, and efficiency.”
How we solved it.
QyrosCloud designed and implemented a cloud-native AWS architecture optimized for data-intensive analytics workloads and scalable API services. The platform was migrated from on-premises infrastructure to AWS using a three-tier VPC architecture and a serverless-first design philosophy to improve scalability, security, and operational efficiency.
To support long-term scalability and reliability, QyrosCloud implemented a comprehensive CloudOps framework focused on observability, governance, automation, and customer enablement.
The solution deployed the application within an Amazon VPC structured into three logical tiers:
• Presentation layer supporting API endpoints and external access
• Application layer hosting business logic and data processing services
• Data layer storing historical weather datasets and analytical outputs
Private subnets were used to isolate backend services, while VPC endpoints were implemented to reduce internet exposure and improve security.
Amazon API Gateway
Provides secure and scalable API endpoints for platform services.
AWS Lambda
Executes application logic, analytical processing, and automated report generation workflows.
Amazon SQS
Supports asynchronous processing pipelines for large analytical workloads.
This architecture allows the platform to process large data workloads without managing traditional server infrastructure.
To support large geospatial datasets, QyrosCloud deployed a high-performance data architecture.
Amazon RDS for PostgreSQL with PostGIS
Stores historical weather data and enables high-performance spatial queries.
Amazon S3
Stores large datasets, report artifacts, and archival data.
Amazon ElastiCache
Provides a caching layer that reduces database load and accelerates frequently requested queries.
The platform implements an event-driven architecture to process large volumes of weather data efficiently.
Data ingestion and analysis tasks are queued through Amazon SQS, triggering AWS Lambda functions that perform data transformation, spatial analysis, and report generation.
This design enables the system to process analytical workloads concurrently and scale automatically based on demand.
The new architecture prepares the platform for integration with Amazon Bedrock, enabling future AI-driven capabilities such as:
- automated analysis of weather datasets
- intelligent report generation
- natural language summaries of analytical results
- predictive insights based on historical weather patterns
This provides a foundation for incorporating generative AI into the platform without requiring major infrastructure changes.
The AWS environment includes centralized security monitoring and compliance evaluation using native AWS services.
Security capabilities include:
- AWS Config with SOC 2 conformance packs
- AWS Security Hub
- Amazon GuardDuty
- AWS CloudTrail
Operational visibility is provided through Amazon CloudWatch, enabling centralized logging, metrics, and alerting.
A centralized monitoring and logging framework was implemented using Amazon CloudWatch.
Capabilities include:
- structured logging across services
- real-time metrics for API performance, pipeline latency, and system health
- custom dashboards for operational visibility
- automated alerts for failures and anomalies
QyrosCloud implemented automated governance controls using:
- AWS Config with SOC 2-aligned conformance packs
- AWS Security Hub for centralized security posture management
- AWS CloudTrail for audit logging
All infrastructure was deployed using AWS CloudFormation nested stacks, enabling:
- consistent environments across development and production
- version-controlled infrastructure
- repeatable deployments
“This engagement required us to balance speed with compliance rigor. We deployed infrastructure-as-code from day one, automated evidence collection across the environment, and delivered a production-ready architecture that passed security review on the first attempt.”
The results speak for themselves.
Migrating the weather intelligence platform to AWS significantly improved scalability, performance, and operational efficiency. QyrosCloud enabled Red Hawk Roofing to transform its platform into a CloudOps-driven, AI-ready system, delivering measurable improvements in performance, reliability, and operational efficiency while establishing a strong foundation for future innovation.
Red Hawk Roofing is a Colorado-based residential and commercial roofing contractor specializing in roof replacement, repair, and exterior restoration services. The company serves homeowners and businesses across the Front Range region, providing roofing systems designed to withstand Colorado’s extreme weather conditions, including hailstorms, heavy snow, and high UV exposure.
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