
Modernizing Legacy APIs with Amazon Q Developer for RealManage
RealManage, a property management leader, faced limitations with its legacy CiraConnect platform due to reliance on outdated processes. They required a faster, scalable solution to modernize workflows and enhance development.
IndustryProperty Management
Solution TypeDevOps & Automation Serverless Architecture
AWS Services Used
AWS Lambda
Amazon S3
Amazon Textract
Amazon Bedrock
About Client

RealManage is a leading provider of property management solutions, delivering technology-driven platforms to streamline operations for HOAs and community associations across the U.S.
The Challenge
Legacy APIs were tightly coupled with stored procedures, creating a rigid architecture that limited flexibility.
Manual batch processing slowed operations and caused performance bottlenecks, affecting efficiency.
Development cycles lengthened due to cumbersome manual testing and deployment. Scaling the platform became difficult, requiring specialized skills that were hard to retain.
Consequently, the ability to manage real-time data and respond to customer needs was significantly hindered.
Manual batch processing slowed operations and caused performance bottlenecks, affecting efficiency.
Development cycles lengthened due to cumbersome manual testing and deployment. Scaling the platform became difficult, requiring specialized skills that were hard to retain.
Consequently, the ability to manage real-time data and respond to customer needs was significantly hindered.
The Solution
BizCloud Experts partnered with RealManage to lead the modernization effort using Amazon Q Developer.
Refactored legacy stored procedures into serverless microservices.
Used Amazon Q for automated code generation, infrastructure as code (IaC), and unit testing scripts.
Shifted batch jobs to event-driven cloud-native architecture for real-time data processing.
Enabled inline code suggestions and automated documentation for developers.
Refactored legacy stored procedures into serverless microservices.
Used Amazon Q for automated code generation, infrastructure as code (IaC), and unit testing scripts.
Shifted batch jobs to event-driven cloud-native architecture for real-time data processing.
Enabled inline code suggestions and automated documentation for developers.
The Result
80% Faster development time using Amazon Q’s inline code suggestions and automation.
Improved Quality Assurance through auto-generated unit tests and comprehensive coverage.
Enhanced Scalability with microservice-based architecture and IaC.
Developer Productivity Boost – engineers spent less time on repetitive coding and more on innovation.
Positive Developer Feedback: Q’s intuitive suggestions reduced time spent on routine tasks.
Improved Quality Assurance through auto-generated unit tests and comprehensive coverage.
Enhanced Scalability with microservice-based architecture and IaC.
Developer Productivity Boost – engineers spent less time on repetitive coding and more on innovation.
Positive Developer Feedback: Q’s intuitive suggestions reduced time spent on routine tasks.
What Our Client Has to Say
Routine tasks that took hours were done in minutes. The automated testing and deployment features helped us move faster and with confidence.
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