video1.0<iframe src="https://www.loom.com/embed/0cd99f26a7a44051b5c202e6cfc240a9" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/0cd99f26a7a44051b5c202e6cfc240a9-da1fb20a159afb4b.gif227.771In this video, I present my project, BidStream, which is a high-frequency trading terminal and auction platform designed to handle large traffic spikes while preventing race conditions and maintaining performance. I utilize Spring WebFlux, Redis, and Lua, along with server-sent events for real-time UI updates, and demonstrate how a RateLimiter effectively mitigates simulated DDoS attacks. The architecture ensures atomic operations to eliminate double spending, and I showcase a live telemetry graph tracking throughput and latency. Additionally, I explain the integration of an AI fraud detection microservice that identifies and manages bot activity. I encourage viewers to explore the demo and provide feedback on the system's performance.