Can it help with service reliability?

Yes, it includes advanced implementations for circuit breakers, load balancing, and request deduplication to prevent cascading failures.

Does it cover health monitoring?

Yes, it provides patterns for implementing liveness and readiness probes compatible with Kubernetes and other service orchestrators.

Which libraries does this skill support?

It focuses on industry-standard crates like Axum for HTTP, Tonic for gRPC, Tower for middleware, and Deadpool for connection pooling.

What is tokio-networking?

It's a Claude Code skill providing specialized patterns and guidance for building networked applications in Rust using the Tokio ecosystem.

Is it suitable for production use?

Absolutely, the patterns provided focus on production-grade concerns like tracing, structured logging, and efficient resource management.

Tokio Networking Expert

Name: Tokio Networking Expert
Author: geoffjay

bygeoffjay

•

Desarrollo de API

Provides production-grade network programming patterns for Rust services using the Tokio ecosystem including Axum, Tonic, and Tower.

Acerca de

This skill empowers developers to build robust, scalable network services in Rust by providing expert patterns for the Tokio ecosystem. It covers high-level HTTP routing with Axum, type-safe gRPC implementations with Tonic, and sophisticated middleware composition using Tower. Beyond basic connectivity, it includes advanced reliability patterns like circuit breakers, load balancing, connection pooling with Deadpool, and comprehensive health monitoring to ensure your services are production-ready and performant.

Características Principales

Type-safe gRPC service definitions and streaming with Tonic
Composable middleware stacks using Tower for cross-cutting concerns
Efficient database connection pooling and resource management
Axum-based HTTP routing and middleware implementation
Reliability patterns including circuit breakers and request deduplication
2 GitHub stars

Casos de Uso

Implementing complex middleware for logging, authentication, and rate limiting
Building high-performance microservices with gRPC and HTTP/2 support
Creating resilient backend architectures with built-in health checks and circuit breakers

Acerca de

Características Principales

Type-safe gRPC service definitions and streaming with Tonic
Composable middleware stacks using Tower for cross-cutting concerns
Efficient database connection pooling and resource management
Axum-based HTTP routing and middleware implementation
Reliability patterns including circuit breakers and request deduplication
2 GitHub stars

Casos de Uso

Implementing complex middleware for logging, authentication, and rate limiting
Building high-performance microservices with gRPC and HTTP/2 support
Creating resilient backend architectures with built-in health checks and circuit breakers