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  1. Stackups
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  4. Fault Tolerance Tools
  5. Eureka vs Hystrix

Eureka vs Hystrix

OverviewComparisonAlternatives

Overview

Hystrix
Hystrix
Stacks309
Followers163
Votes2
GitHub Stars24.4K
Forks4.7K
Eureka
Eureka
Stacks291
Followers779
Votes70
GitHub Stars12.7K
Forks3.8K

Eureka vs Hystrix: What are the differences?

Introduction

In this markdown, we will discuss the key differences between Eureka and Hystrix. Both Eureka and Hystrix are popular libraries used in building resilient and fault-tolerant applications. While Eureka is a service discovery and registration tool, Hystrix is a latency and fault tolerance library.

  1. Service Discovery vs. Fault Tolerance: The primary difference between Eureka and Hystrix lies in their core functionalities. Eureka is mainly focused on service discovery and registration, providing a way for services to discover and communicate with each other. On the other hand, Hystrix primarily focuses on providing fault tolerance and latency management for distributed systems.

  2. Registry vs. Circuit Breaker: Eureka acts as a registry where service instances can register their network location and other metadata. It allows other services to discover and route requests to these instances. Hystrix, on the other hand, acts as a circuit breaker. It monitors and controls the interaction between distributed systems, preventing cascading failures and providing fallback mechanisms.

  3. Communication vs. Resilience: Eureka plays a crucial role in enabling communication between services. It facilitates the discovery and routing of requests to the appropriate service instances. On the contrary, Hystrix focuses on ensuring resilience in distributed systems. It provides mechanisms like circuit breakers, bulkheads, and fallbacks to handle and recover from failures.

  4. Centralized vs. Decentralized: Eureka follows a decentralized architecture. Each service instance registers itself with the Eureka server, and other services can directly communicate with these instances. In contrast, Hystrix follows a more centralized approach. It typically operates as a library within the application, providing fault tolerance for specific remote service calls.

  5. High Availability vs. Isolation: Eureka is designed to be highly available to prevent service outages due to registry failures. It utilizes replication and synchronization techniques for increased availability. Hystrix, on the other hand, focuses on service isolation. It isolates failing services using circuit breakers and fallback strategies, preventing failures from affecting the entire system.

  6. Dynamic vs. Static: Eureka allows services to be dynamically added, removed, or updated without impacting the overall system. It supports runtime discovery, making it easy to scale and manage services. In contrast, Hystrix's configuration is usually static, defined during application startup. It provides a predefined fault tolerance mechanism that remains constant until the next application restart.

In summary, Eureka is primarily focused on service discovery and registration, enabling communication between services, while Hystrix focuses on fault tolerance and latency management, providing mechanisms to handle failures and prevent cascading faults in distributed systems.

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Detailed Comparison

Hystrix
Hystrix
Eureka
Eureka

Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.

Latency and Fault Tolerance;Realtime Operations; Concurrency
-
Statistics
GitHub Stars
24.4K
GitHub Stars
12.7K
GitHub Forks
4.7K
GitHub Forks
3.8K
Stacks
309
Stacks
291
Followers
163
Followers
779
Votes
2
Votes
70
Pros & Cons
Pros
  • 2
    Cirkit breaker
Pros
  • 21
    Easy setup and integration with spring-cloud
  • 9
    Web ui
  • 8
    Health checking
  • 8
    Monitoring
  • 7
    Circuit breaker
Cons
  • 1
    Nada
Integrations
No integrations available
Amazon EC2
Amazon EC2

What are some alternatives to Hystrix, Eureka?

Consul

Consul

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

Zookeeper

Zookeeper

A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.

etcd

etcd

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.

Keepalived

Keepalived

The main goal of this project is to provide simple and robust facilities for loadbalancing and high-availability to Linux system and Linux based infrastructures.

SkyDNS

SkyDNS

SkyDNS is a distributed service for announcement and discovery of services. It leverages Raft for high-availability and consensus, and utilizes DNS queries to discover available services. This is done by leveraging SRV records in DNS, with special meaning given to subdomains, priorities and weights (more info here: http://blog.gopheracademy.com/skydns).

SmartStack

SmartStack

Scaling a web infrastructure requires services, and building a service-oriented infrastructure is hard. Make it EASY, with SmartStack’s automated, transparent service discovery and registration: cruise control for your distributed infrastructure.

Polly

Polly

It is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner.

Serf

Serf

Serf is a service discovery and orchestration tool that is decentralized, highly available, and fault tolerant. Serf runs on every major platform: Linux, Mac OS X, and Windows. It is extremely lightweight: it uses 5 to 10 MB of resident memory and primarily communicates using infrequent UDP messages.

Nacos

Nacos

It is an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

Libraries.io

Libraries.io

It is an open source web service that lists software development project dependencies and alerts developers to new versions of the software libraries they are using.

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