Share State: An online lending platform for borrowers and lenders

Share State is a private lender that provides competitive loans for various stages of real estate projects across the United States. It has built a portal where borrowers and lenders can register for a streamlined lending process. Share State also provides features to track the status of loans in which you are partnering.

• Share State needed a scalable solution to handle the increased number of borrowers and lenders on the platform.
• The client needed a robust architecture to accommodate fluctuating workloads and scale resources on demand, ensuring  seamless financial transactions between lenders and borrowers.
• Another major challenge for Share State was maintaining the continuous availability of applications and databases.
• Managing and storing  large volumes of financial data with higher security was another major challenge for Share State
• Minimizing the financial data loss during the lending transactions was also a crucial challenge that Share State faced. 
• The platform needed to cater to lenders and borrowers with loan status tracking, which required Share State to create a robust mechanism that offers on-demand capabilities.

• To handle increased users and fluctuating workloads, Simform leveraged auto-scaling groups of AWS EC2 instances behind AWS ALB, which distributed traffic across multiple instances to ensure high availability.
• We used Amazon RDS, enabling automated patching, backups, and read replicas for enhanced availability and durability of databases 
• We deployed applications across several availability zones leveraging AWS EC2, improving fault tolerance for transactions on the platform. 
• Simform’s team used Amazon S3 to securely store large volumes of financial data, offering durable and scalable object storage. 
• Our team used Amazon RDS multi-AZ deployments that replicate data across availability zones, minimizing data loss during transactions. 
• We also used Amazon EFS to provide shared file storage for applications with automatic data replication.
• Our team enabled tracking loan status and on-demand scaling for Share State by using AWS Auto Scaling. 
• We leveraged AWS CloudWatch to trigger auto-scaling based on data gathered to monitor transaction processes across the platform.

• By migrating to AWS RDS, we achieved a 40% reduction in database latency and enhanced system reliability through its built-in failover capabilities.
• We improved application response times by 50% and increased system resilience by migrating our workload to AWS EC2 instances.
• By leveraging auto-scaling groups, ALBs, and multi-AZ RDS, the financial platform availability improved by 20%. 
• The on-demand scaling through auto-scaling groups and CloudWatch monitoring improved responsiveness to transactional fluctuations by 30%.

• AWS RDS- We leveraged Amazon RDS to automate patching and backups and create read replicas, enhancing database availability and durability.
• AWS EC2-Our team leveraged auto-scaling groups of AWS EC2 instances to ensure consistent availability.
• AWS EFS: We leveraged Amazon EFS to provide shared file storage for applications with automatic data replication.
• AWS ALB- Our experts deployed AWS ALB to ensure high availability and manage workload fluctuations through the distribution of traffic across multiple instances. 
• AWS S3- We used Amazon S3 to securely store large volumes of financial data, offering durable and scalable object storage. 
• AWS CloudWatch- We used AWS CloudWatch to monitor transaction processes across our platform and trigger auto-scaling based on the gathered data.
• Amazon VPC-We secured Share State’s lending transactions by connecting their on-premises infrastructure to the VPC with Amazon VPC.