socketry/async
Async
This project is a framework for building concurrent, event-driven applications in Ruby. It provides a core engine that orchestrates non-blocking input and output operations, allowing developers to handle high-volume network traffic and system tasks without the complexity of traditional callback-based programming. By leveraging lightweight fibers, the library enables cooperative multitasking that maintains responsiveness during heavy data processing workloads.
The framework distinguishes itself through a structured concurrency model that organizes tasks into parent-child hierarchies. This approach ensures predictable task lifecycles, reliable error propagation, and automatic resource cleanup. It also includes advanced scheduling capabilities, such as load-based task throttling and periodic background execution, which allow the runtime to manage system resources dynamically while maintaining high throughput.
Beyond its core execution model, the project offers a comprehensive suite of tools for managing shared state and observability. It provides thread-safe synchronization primitives, such as mutexes and communication channels, to coordinate data flow between concurrent operations. Developers can also utilize built-in diagnostic features, including performance profiling, interactive state inspection, and real-time visualization of task hierarchies, to monitor system health and identify execution bottlenecks.
Features
- Asynchronous Frameworks - Provides a framework for building concurrent, event-driven Ruby applications using non-blocking I/O.
- Asynchronous Connection Handlers - Provides a high-performance event-driven engine for managing thousands of simultaneous network connections within a single process.
- Reactor Patterns - Provides an event-driven reactor for building concurrent Ruby applications using lightweight fibers.
- Cooperative Execution Units - Implements lightweight fiber-based cooperative multitasking for efficient concurrent execution.
- Structured Concurrency - Organizes tasks into hierarchical scopes to ensure reliable lifecycle management and error propagation.
- Structured Concurrency Managers - Manages task lifecycles and hierarchies to ensure reliable execution, resource cleanup, and error propagation.
- Fiber-Based Concurrent Execution - Leverages lightweight fibers to handle high-volume network communication without callback complexity.
- Structured Concurrency Hierarchies - Organizes asynchronous workflows into hierarchical task trees to ensure reliable lifecycle tracking and error propagation.
- Non-Blocking Event Loops - Integrates non-blocking I/O hooks into the event loop to prevent execution stalls.
- Reactor Pattern Event Loops - Orchestrates non-blocking system operations and schedules concurrent tasks to maintain high throughput.
- High-Concurrency Networking - Supports building scalable network applications that handle thousands of simultaneous connections efficiently.
- Non-Blocking I/O Interfaces - Provides non-blocking input and output operations to maintain responsiveness during heavy data processing.
- Event Loop Scheduling - Exposes granular interfaces for embedding the event loop within custom control flows.
- Background Task Management - Supports background operations that do not prevent the event loop from exiting.
- Runtime Exception Handling - Captures and propagates errors within tasks to ensure system stability.
- Asynchronous Task Cancellation - Supports immediate termination of active tasks and their children to prevent unnecessary work.
- Task Completion Barriers - Provides barriers and conditions to coordinate task execution and manage dependencies.
- Concurrency Synchronization Primitives - Provides synchronization primitives like mutexes to coordinate access to shared resources in concurrent environments.
- Non-blocking I/O - Hooks into native blocking operations to automatically suspend and resume tasks during I/O.
- CSP Communication Channels - Implements communication channels for safe data exchange between concurrent tasks with support for back-pressure.
- Runtime Event Loop Controls - Enables orchestration of the event loop by managing wait times and iteration control.
- Fiber-local State Management - Isolates state within individual execution fibers to prevent data leakage between concurrent tasks.
- Parallel Task Execution - Distributes compute-intensive workloads across parallel execution contexts while maintaining a unified asynchronous model.
- Recurring Task Schedulers - Executes recurring background tasks at fixed intervals without blocking the main application flow.
- Request Timeout Management - Enforces maximum durations for asynchronous operations to prevent indefinite blocking during network or system tasks.
- Concurrency Limiting - Restricts simultaneous operations to prevent resource exhaustion during high-volume processing.
- Task Result Aggregation - Allows execution flows to pause until asynchronous tasks complete and return results.
- Thread-Safe State Containers - Provides thread-safe synchronization primitives like mutexes and channels for coordinating concurrent data flow.
- Load-Aware Throttling - Dynamically throttles background tasks based on real-time system load to maintain optimal performance.
- Resource Cleanup Handlers - Ensures reliable cleanup of system resources by wrapping operations within task-aware blocks.
