A high-performance, event-driven C++ framework for building asynchronous, non-blocking server-side applications.
Seastar is a high-performance, event-driven C++ framework for building asynchronous, non-blocking server-side applications. It uses a shared-nothing architecture and futures-based programming to maximize throughput and minimize latency on modern multi-core hardware. The framework is particularly suited for systems requiring extreme performance, such as databases, real-time data processing, and network servers.
C++ developers building high-throughput, low-latency server applications like databases, real-time systems, and network services. It's also relevant for those working on performance-critical projects that need to leverage multi-core and NUMA architectures efficiently.
Developers choose Seastar for its unparalleled performance on modern hardware, thanks to its shared-nothing design and userspace TCP/IP stack. It provides a straightforward asynchronous programming model with futures, making it easier to write scalable, non-blocking code compared to traditional threading approaches.
High performance server-side application framework
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Uses futures and promises to write non-blocking code in a straightforward manner, simplifying complex asynchronous workflows as highlighted in the introduction.
Includes a native userspace TCP/IP stack for superior network performance, recommended for 10G/40G NICs to maximize throughput.
Shared-nothing architecture minimizes cross-core coordination, optimizing for modern multi-core and NUMA systems to handle demanding workloads.
Supports multiple build modes (debug, release, dev, sanitize) and optional DPDK integration, allowing tailored performance tuning for production or development.
The build process requires installing dependencies, configuring with specific modes, and managing compilation issues, as detailed in the 'Building Seastar' section, which can be time-consuming.
Being a specialized framework, it has a smaller community and fewer third-party integrations compared to mainstream options, potentially slowing down development and support.
Optimal performance depends on specific hardware like fast SSDs and high-queue NICs (10G/40G), which may not be accessible or cost-effective for all projects.
The futures-based asynchronous model requires a shift from traditional synchronous thinking, and the documentation, while available, assumes familiarity with advanced C++ concepts.