scylladb/seastar

Features

• High-Performance Server - Provides a high-performance server framework optimized for low-latency network I/O and multi-core throughput.
• Thread-Per-Core Architectures - Implements a thread-per-core architecture to eliminate locking and maximize total system throughput.
• Shared-Nothing Architectures - Utilizes a shared-nothing architecture to distribute data and workloads across cores, eliminating lock contention.
• DMA-Based Zero-Copy Storage - Moves data directly between storage devices and application memory using DMA-based APIs for maximum efficiency.
• Symmetric Sharding - Mirrors service objects across all CPU cores and manages inter-shard communication through explicit message passing.
• Resource Isolation - Assigns tasks to scheduling groups to isolate and control the percentage of CPU time each component receives.
• Server Frameworks - Offers a framework for building high-performance server applications using a thread-per-core architecture.
• Disk Block I/O - Implements low-level block-level disk I/O operations to optimize storage performance.
• High Performance I/O Engines - Provides a high-performance I/O engine for direct disk and network access using zero-copy and DMA-based APIs.
• Asynchronous Flow Libraries - Provides a C++ library with futures, promises, and coroutines for coordinating asynchronous execution flows.
• Resource Allocation Groups - Allocates CPU and memory resources across scheduling groups to ensure consistent performance and prevent bottlenecks.
• Asynchronous Programming - Implements a comprehensive non-blocking programming model based on futures for high-concurrency task management.
• Userspace Network Stacks - Implements a userspace network stack to bypass the kernel and reduce packet processing latency.
• Asynchronous Task Processors - Implements non-blocking server logic using futures and coroutines to manage high-concurrency tasks.
• Future-Based Concurrency Frameworks - Provides a concurrency framework based on futures and promises to manage non-blocking task chains.
• Core-Local Memory Partitioning - Pre-allocates memory blocks per CPU core to ensure local access and prevent cross-core contention.
• Cooperative Schedulers - Implements a cooperative scheduler where lightweight fibers voluntarily yield control to balance CPU resources.
• Coroutine Frameworks - Manages high-concurrency workloads using lightweight coroutines to execute non-blocking tasks.
• Concurrent Workflow Orchestration - Forks execution into concurrent sub-coroutines and joins them upon completion using aggregation primitives.
• Scheduling Group Isolation - Allocates guaranteed CPU time slices to different scheduling groups to ensure system stability and prevent task starvation.
• Asynchronous Shutdown Coordination - Coordinates graceful service shutdowns by tracking active operations and blocking new requests using gates.
• Network Services - Provides primitives for developing high-throughput servers and clients using common communication protocols.
• DPDK Integrations - Integrates with the Data Plane Development Kit (DPDK) to bypass the kernel stack for increased packet processing speed.
• Zero-Copy Networking - Implements zero-copy data paths to move data between network hardware and application memory without CPU copies.
• NIC Direct Driving - Communicates directly with network interface cards using data plane kits for faster packet processing.
• Scheduling Group Isolation - Provides scheduling groups to control the percentage of CPU time allocated to different system components.
• Async - Handles object ownership across asynchronous boundaries using move semantics and reference-counted pointers.
• Event-Driven Frameworks - Utilizes an event-driven framework to maintain application responsiveness without blocking execution threads.
• Async Operation Coordinators - Coordinates deferred computations using futures and promises to decouple event production from consumption.
• Fiber Synchronization - Coordinates data transfer between producer and consumer fibers using fixed-size buffers and future-based blocking.
• Job Continuation Chaining - Chains non-blocking operations using futures and continuations to prevent thread stalling.
• Async-to-Sync Wrappers - Simplifies asynchronous logic by allowing futures to be waited upon in a stack-based, synchronous-style environment.
• Game Server Frameworks - High-performance server-side application framework.
• Frameworks - Advanced framework for high-performance server-side applications.

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