Case Study

Rambunct Scales RentLord’s Global Booking Platform with AWS Elastic Beanstalk & CloudFront

Background

RentLord launched a global rental marketplace using AWS Elastic Beanstalk, CloudFront, and Aurora PostgreSQL, delivering a scalable, secure, and high-performance booking platform that enables seamless experiences for travelers and property owners worldwide.

The Challenge

RentLord needed a scalable, high-performance platform to support its Airbnb-style global rental marketplace, but legacy infrastructure lacked flexibility, speed, and automation.
  • Complex deployment requirements and peak booking traffic overwhelmed legacy systems.
  • Slow global content delivery reduced booking conversion and search usability.
  • High query volume and transactional demands required powerful, scalable databases.
  • Payment security and compliance needed robust protection and high availability.

Our Solution

Rambunct designed a scalable, Django-powered architecture using AWS Elastic Beanstalk, integrated with CloudFront, Aurora PostgreSQL, and managed services for seamless global operations.
  • Elastic Beanstalk enabled rapid Django deployments with zero-downtime updates and auto-scaling.
  • Application Load Balancer ensured intelligent traffic routing and high availability.
  • CloudFront accelerated property image delivery and real-time booking interface performance.
  • Aurora PostgreSQL with read replicas handled intensive search queries and payment transactions.

The Result

The AWS solution enabled RentLord to deliver a fast, scalable, and reliable rental marketplace experience across geographies and user segments.
  • 95% improvement in global page load times via CloudFront CDN acceleration.
  • 99.9% uptime enabled uninterrupted search, booking, and payment services.
  • 70% reduction in infrastructure management effort through Elastic Beanstalk automation.
  • 80% improvement in search performance using optimized Aurora PostgreSQL and ElastiSearch.
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