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A high-availability live video and accounting backend hosted on a custom-architected AWS infrastructure.
Converted Nest 360 directly from Figma mockups into a dynamic frontend. Engineered a comprehensive PHP Laravel backend governing live video content delivery and complex accounting algorithms. The platform serves two distinct workloads: high-I/O live video streaming and transactional double-entry accounting. Both needed to run reliably under peak load without degrading each other. The client required pixel-perfect Figma-to-code conversion, enterprise-grade AWS infrastructure, and bulletproof financial ledger consistency.
Live video content requires massive bandwidth and low-latency hardware. Additionally, standard shared hosting could not support the heavy MySQL accounting transactions happening simultaneously across the platform. Running PHP/Laravel alongside MySQL on a single monolithic server resulted in intense CPU thrashing and crashed connections when both workloads spiked. The real test was when video streaming and financial reconciliation hit the same resource pool—the system could not handle it.
Designed and deployed a highly optimized AWS infrastructure featuring Nginx buffering and native MySQL tuning. Completely decoupled the application tier onto scalable EC2 instances behind an AWS Load Balancer, and siloed the accounting database onto isolated Amazon RDS Multi-AZ instances. Configured Nginx for high-throughput video buffering and tuned MySQL for transactional consistency. By isolating video I/O from database operations, system-wide latency dropped to effectively zero. Delivered pixel-perfect Figma conversion using Bootstrap utility alignment.
System architecture and data flow diagrams illustrating the underlying infrastructure and request lifecycle.
| Metric | Requirement | Target |
|---|---|---|
| P99 Latency | < 250ms | < 100ms |
| System Uptime | 99.9% | 99.99% |
| Query Payload | 10k ops/sec | 50k ops/sec |
The real test of Enterprise infrastructure is when two massive distinct workloads hit the identical resource pool simultaneously. The client needed to stream heavy live video payloads while also instantly reconciling financial transactions across the platform.
Initially, running PHP/Laravel alongside MySQL on a single monolithic server resulted in intense CPU thrashing and crashed connections.
We rebuilt the stack entirely. We hoisted the entire application tier onto scalable Linux Web nodes hidden behind an AWS Load Balancer. We completely siloed the accounting database onto isolated Amazon RDS instances.
By isolating the video streaming I/O traffic from the hardcore math operations, system-wide latency dropped to effectively zero.
Never put a high-I/O video streaming buffer on the same hardware disk as your primary transactional MySQL database.
Figma to code conversion is significantly cleaner when class nomenclatures match directly (e.g. Bootstrap utility alignment).