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Resilience4j: Lightweight Fault Tolerance Library for Java & Microservices
Resilience4j is a lightweight fault tolerance library designed for Java 8 and functional programming, helping developers build resilient applications capable of handling external service failures and improving system stability.
Java
Added on 2025年6月28日10,249
Stars1,397
ForksJava
LanguageProject Introduction
Summary
Resilience4j is an open-source, fault-tolerance library inspired by Hystrix, but designed for Java 8 and functional programming. It provides a collection of lightweight, easy-to-use fault tolerance patterns such as Circuit Breaker, Rate Limiter, Bulkhead, Retry, and Time Limiter, without external dependencies.
Problem Solved
Modern distributed systems often rely on external services (databases, APIs, microservices). Failures, latency, or timeouts in these dependencies can lead to cascading failures throughout the system. Resilience4j provides patterns to gracefully handle these external issues, ensuring the core application remains available and responsive.
Core Features
Circuit Breaker
Prevents cascading failures by stopping requests when a service is unhealthy.
Bulkhead
Limits the number of concurrent executions to prevent system overload.
Rate Limiter
Limits the rate of requests made to a specific service.
Retry
Automatically retries failed operations a configurable number of times.
Time Limiter
Limits the duration of an operation to prevent indefinite blocking.
Cache
Provides client-side caching to reduce load on backend services.
Tech Stack
Java 8+
Functional Programming
使用场景
Resilience4j can be applied in various scenarios where external dependencies might fail or introduce latency, such as:
Scenario 1: External Service Calls
Details
Protecting calls to external third-party APIs that might be unreliable or have rate limits.
User Value
Prevents cascading failures and adheres to external service usage policies.
Scenario 2: Database Access
Details
Safeguarding database access from high load or temporary network issues.
User Value
Improves application stability by preventing database issues from crashing the entire application.
Scenario 3: Inter-Service Communication
Details
Making internal microservice communication more robust against individual service failures.
User Value
Ensures that a failure in one microservice doesn't take down dependent services.
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