csharp-concurrency-patterns

Use async/await for basic I/O-bound operations, while System.Threading.Channels is optimal for producer-consumer scenarios and work queues where you need to decouple production and consumption rates concurrently.

Manage shared state concurrently using synchronization primitives like SemaphoreSlim to limit access, ConcurrentDictionary for thread-safe key-value stores, or Interlocked operations for lightweight atomic updates to prevent race conditions.

Akka.NET Actors provide the best concurrency model for complex stateful processing, encapsulating state within individual actors that communicate via message passing to avoid shared-state synchronization issues entirely.

Handle backpressure in stream processing using Akka.NET Streams or System.Threading.Channels, which provide built-in flow control mechanisms to regulate data flow between producers and consumers under heavy load.

Yes, Parallel.ForEachAsync is designed for parallel CPU-bound tasks, allowing you to process iterations concurrently while controlling the degree of parallelism to optimize throughput without overwhelming system resources.

Use ReaderWriterLockSlim when you have many concurrent readers but rare writers, as it allows multiple threads to read simultaneously while ensuring exclusive access for writes, unlike the standard lock statement which is strictly exclusive.