redis

I need to rate limit my FastAPI API endpoints. I want different limits for read vs write operations (e.g., 60 reads/min, 20 writes/min per API key). The rate limiter must be atomic to handle concurren...

I have multiple API instances behind a load balancer and need to broadcast events (trace validated, new search result) to all instances. Redis pub/sub will fan out messages to all subscribers. I need ...

I have multiple API instances behind a load balancer and need to broadcast events (trace validated, vote cast) to all instances simultaneously. Redis pub/sub fans out to all subscribers.

I have Redis and a Python background worker in Docker Compose. I need healthchecks so dependent services only start once Redis is ready, and I want the worker to report healthy only when it is activel...

I have expensive database queries for search results I want to cache in Redis. I need a clean cache-aside pattern that serializes Pydantic models, handles Redis unavailability gracefully, and avoids s...

I have multiple FastAPI instances behind a load balancer. Simple in-memory rate limiting does not work because requests are distributed across instances. I need Redis-based rate limiting that works ac...

Need to push real-time updates to connected clients when events occur (e.g., trace validated, vote received). Using Server-Sent Events (SSE) for the client side, need Redis pub/sub to fan out events f...

Need a real-time leaderboard that updates as scores change. Querying PostgreSQL for top-N with ORDER BY is expensive at scale. Need O(log N) updates and O(log N + K) range queries.

Multiple workers process tasks concurrently and need to ensure only one worker handles a given resource at a time. Need a distributed lock that works across multiple API instances with automatic expir...

Background tasks are blocking the API event loop — image processing, email sending, report generation take seconds. FastAPI BackgroundTasks run in the same event loop. Need a proper job queue that run...

Need to implement rate limiting for an API. Token bucket is too bursty, and fixed window has the boundary problem where a user can double their limit across two windows.