spring-reactive
Build reactive applications - WebFlux, Mono/Flux, R2DBC, backpressure, reactive streams
rate-limiting
API rate limiting and quota management implementation. Use when implementing request throttling, API quotas, backpressure handling, or protection against abuse. Keywords: rate limiting, throttling, token bucket, sliding window, leaky bucket, quota, Redis, backpressure, API limits, DDoS protection.
streaming-api-patterns
Implement real-time data streaming with Server-Sent Events (SSE), WebSockets, and ReadableStream APIs. Master backpressure handling, reconnection strategies, and LLM streaming for 2025+ real-time applications.
reactive-programming
Implement reactive programming patterns using RxJS, streams, observables, and backpressure handling. Use when building event-driven UIs, handling async data streams, or managing complex data flows.
