Can you explain the role of GraphStages within Akka Streams? How do they extend the capabilities of the framework, and what are some examples of custom GraphStages you have created?
GraphStages play a crucial role in Akka Streams, providing customizable processing blocks for stream elements. They extend the framework’s capabilities by allowing developers to implement custom logic and control flow within streams, beyond what is offered by built-in stages.
I have created custom GraphStages such as :
1. RateLimiter : Controls throughput of elements based on a specified rate.
2. RetryFlow : Retries failed operations with exponential backoff.
3. CircuitBreaker : Pauses element processing when failure thresholds are reached, resuming after a cooldown period.
These GraphStages enhance Akka Streams’ flexibility, enabling tailored solutions for specific use cases while maintaining its core principles of backpressure and asynchronous processing.
