concurrency-engine

To handle 100+ concurrent browser automation requests, a FastAPI gateway enqueues jobs into a Redis-backed queue and immediately returns a job_id. Background workers then pull from the queue and execute tasks using a managed pool of parallel browser contexts.

Heavy browser automation blocks FastAPI endpoints when processing happens synchronously. By implementing non-blocking request handling with a Redis-backed queue, the server returns a job_id immediately and processes the task in the background, allowing clients to poll for status.

A Redis-backed queue manages browser pool workers by storing job metadata and dispatching tasks to available pre-authenticated browser instances. This worker pattern enables parallel execution, reliable status tracking, and resumption of concurrent web scraping tasks after restarts.

Yes, you can run 100+ concurrent Playwright requests without blocking by coordinating a FastAPI gateway with a Redis-backed queue and a browser pool. The gateway returns a job_id immediately while dedicated workers process the batch workload in parallel.

Limitations of a worker pattern for parallel browser automation include managing browser crashes and resource limits. Health checks and graceful shutdown mechanisms are required to recover from failures and maintain uptime when scaling to high-throughput batch workloads.