An open-source asynchronous framework for building high-performance C++ microservices and utilities with rich abstractions.
userver is an open-source asynchronous framework for building C++ microservices, services, and utilities. It solves the problem of efficient I/O interactions by allowing threads to handle other tasks during waits, maximizing CPU utilization and minimizing context switches. The framework provides a rich set of abstractions for databases, protocols, and high-level components like caches and logging.
C++ developers building high-performance microservices, backend services, or utilities that require efficient asynchronous I/O and concurrency. It is particularly suited for teams needing production-ready solutions with rich functionality.
Developers choose userver for its production-ready asynchronous design, which offers straightforward source code while efficiently utilizing CPU with minimal threads. Its rich set of built-in components and drivers reduces boilerplate and accelerates development of scalable C++ services.
Production-ready C++ Asynchronous Framework with rich functionality
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Threads handle other tasks during I/O waits, maximizing CPU utilization and minimizing context switches, as demonstrated in the README where SQL queries execute without blocking the thread.
Includes asynchronous drivers for databases like PostgreSQL and MongoDB, and protocols like HTTP/2 and gRPC, reducing reliance on external libraries for common microservices tasks.
Offers ready-to-use components for caches, distributed locking, logging, and metrics, accelerating development of production-ready services without boilerplate code.
Supports on-the-fly configuration changes, enabling runtime adjustments without service restarts, which is critical for scalable microservices deployments.
Requires deep familiarity with C++ and asynchronous patterns, making it less accessible for developers from languages with simpler concurrency models.
The rich feature set demands more initial configuration and understanding of framework-specific abstractions, potentially slowing early development cycles.
Compared to frameworks in languages like Java or Go, the community and third-party integrations are smaller, which could affect long-term tooling and support.