The client is a financial services startup based in Florida, serving the entire US with affordable loans for employees who have a steady employment history. Having built a proprietary application to manage the full loan lifecycle, they were rapidly growing their loan book and processing a fast-rising volume of applicants. They needed their systems to be robust enough to handle the incoming traffic at scale supporting at least 2,000 concurrent users, ensuring near-total application availability, and giving them the visibility to spot and resolve issues before they affected borrowers.
Growth is a good problem until the platform can’t keep up with it. As applicant volumes climbed, the client needed their lending application to scale reliably, stay available, and be observable, without breaking under load.
A growing loan book meant a fast-rising volume of applicants; the system had to handle at least 2,000 concurrent users without degrading.
As a lending platform, downtime directly costs applications and revenue, so the application needed to stay continuously available.
The team needed proper monitoring of both application and infrastructure to identify and resolve issues proactively.
The mixed WordPress and PHP stack introduced session-sharing problems and WordPress admin and server-sync challenges that had to be resolved for multi-server scaling.
Focaloid re-engineered the platform’s infrastructure for scale and reliability - horizontal auto-scaling, load balancing, caching, full observability, and zero-downtime deployments.
Implemented horizontal auto-scaling for application instances from a minimum of 2 to a maximum of 4 medium servers based on load behind an application load balancer using round-robin instance switching.
Enabled Redis caching for performance and stored new loan applications in Amazon S3.
Set up application logging and monitoring with the ELK stack (Elasticsearch, Logstash, Kibana) and CloudWatch for infrastructure monitoring, with Grafana dashboards for proactive support.
Designed and configured Blue-Green deployments using Docker to reduce downtime and release risk.
Fixed session-sharing between the WordPress and PHP applications and the WordPress admin handling and server-sync challenges to enable reliable multi-server operation.
Focaloid approached the scaling work methodically - diagnose, re-architect for elasticity, instrument for visibility, then validate under load.
Established the scaling targets 2,000+ concurrent users and near-100% availability and reviewed the existing infrastructure.
Implemented horizontal auto-scaling, a load balancer, Redis caching, and S3-based application storage.
Deployed ELK logging, CloudWatch, and Grafana to monitor application and infrastructure proactively.
Configured Docker-based Blue-Green deployments, resolved the WordPress/PHP session and sync issues, and ran load testing to validate the new capacity.
For a lending startup in growth mode, the platform either enables the next wave of applicants or quietly caps it. If the system buckles under traffic or goes down mid-application, growth turns into lost loans and frustrated borrowers. By re-engineering the platform for elastic scale, near-total availability, and full observability and proving it could handle more than 10,000 hits per second - Focaloid removed the infrastructure ceiling on the client’s growth, while cutting release times and infrastructure costs at the same time. That’s scaling that pays for itself.
We re-engineer applications for elastic scale, high availability, and full observability with auto-scaling, caching, monitoring, and zero-downtime deployments - so your infrastructure enables growth instead of capping it.