The Challenge
Real estate decisions depend on fast access to current, accurate data. Home-buyers and brokers comparing properties, tracking market trends, and evaluating neighborhoods cannot tolerate lag in data retrieval or inconsistent platform responsiveness. The organization's existing infrastructure was delivering exactly that.
As property data volumes grew, the infrastructure struggled to extract and surface timely insights for both end users and the management team. Website response times slowed noticeably, creating an unpredictable user experience that threatened the platform's reliability and user trust.
Deployment processes were manual and lacked automation, making it difficult to release updates consistently and quickly. The absence of dynamic scaling meant the platform had no mechanism to adapt to traffic spikes, leaving performance vulnerable whenever user demand exceeded baseline levels.
Our Approach
Coforge addressed the organization's infrastructure and delivery challenges through dynamic scaling and automated deployment pipelines on AWS, building a platform capable of adapting to demand and releasing updates reliably.
Dynamic Auto-Scaling for Traffic Resilience
Coforge integrated AWS Auto-Scaling, EC2 Spot instances, and Amazon CloudWatch with a dynamic scaling policy, ensuring the organization's platform adapted rapidly to traffic spikes and CPU demand. This eliminated the performance degradation that occurred during peak usage periods and provided a consistently responsive experience for home-buyers and brokers.
Automated Deployment Pipelines
Coforge deployed AWS CodePipeline for automatic application deployments and AWS CloudFormation for consistent, repeatable infrastructure provisioning. This replaced the organization's manual deployment processes with an automated pipeline that produced faster, more reliable releases and kept the platform consistently up to date.
Performance and Infrastructure Consistency
The combination of dynamic scaling and Infrastructure as Code gave the organization a platform that could respond to demand automatically and be reprovisioned consistently across environments. This reduced the operational overhead of infrastructure management and improved the predictability of platform behavior under varying load conditions.
User Experience Reliability
With auto-scaling handling traffic surges and automated deployments enabling faster feature releases, the platform delivered a consistently responsive experience for home-buyers and brokers. Faster data retrieval and a dependable infrastructure directly supported the user satisfaction the organization needed to grow its audience.

Impact to Date
50%
Business Impact
- Dynamic scaling via AWS Auto-Scaling, EC2 Spot instances, and CloudWatch ensured the organization's platform remained responsive during traffic spikes, eliminating the performance degradation that had affected user experience.
- Automated deployments through CodePipeline and CloudFormation replaced the organization's manual processes, producing faster, more reliable feature releases and consistent infrastructure provisioning.
- Platform improvements directly supported a 50% increase in website traffic, reflecting the improved user experience delivered by a more reliable and responsive infrastructure.
- The organization's management team gained more consistent access to timely property data insights, supported by an infrastructure no longer constrained by manual scaling and deployment processes.
