effect-concurrency-fibers

Use Effect.all to execute independent tasks concurrently, or Effect.forEach with a concurrency option to limit parallelism. Both enforce bounded concurrency, preventing resource exhaustion while coordinating task execution safely across pools and API calls.

Fibers are Effect's units of concurrent execution. Manage their lifecycles using fork to spawn parallel work, join to wait for completion, and interrupt to cancel tasks. This structured approach ensures safe cleanup and deterministic shutdown of background operations.

Use Effect's race and timeout combinators to run competing tasks or enforce time limits on operations. These patterns integrate with fiber lifecycle management to safely interrupt slow or losing tasks, preventing indefinite hangs in latency-sensitive scenarios.

Yes. Effect.forEach with concurrency bounds is designed for pooling and stream processing, safely parallelizing work across multiple tasks while maintaining latency control and preventing resource overload in continuous workflows.

Effect.all coordinates fixed sets of independent tasks with optional concurrency limits. Effect.forEach applies the same concurrency bound across iterable collections. Choose all for discrete parallel work and forEach for batches or streams requiring uniform rate-limiting.

Use interrupts when you need deterministic cancellation—timeouts expire, a race winner emerges, or a user action cancels work. Interrupts ensure fibers clean up promptly without blocking, critical for responsive latency control and graceful degradation.