Open Source Table - Scalability system design for restaurant reviews app
• Scaled overviews microservice to handle an increased throughput of 1500 RPS from 550 RPS at 13 ms latency with 10M Postgres entries by horizontally scaling Node servers with AWS Elastic Load Balancer • Utilized Redis LFU caching to minimize database queries, reducing overall latency by more than 50% • Analyzed system bottlenecks with Loader.io and New Relic to pinpoint performance blockers • Redesigned legacy schema and consolidated 5 client-side GET API into 1, allowing faster rendering