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

Hystrix vs linkerd

OverviewComparisonAlternatives

Overview

Hystrix
Hystrix
Stacks309
Followers163
Votes2
GitHub Stars24.4K
Forks4.7K
linkerd
linkerd
Stacks132
Followers312
Votes7

Hystrix vs linkerd: What are the differences?

## Introduction
Hystrix and Linkerd are two popular tools used for handling fault tolerance and service mesh management in microservices architectures.

1. **Programming Language**: One key difference between Hystrix and Linkerd is that Hystrix is primarily designed for Java applications, while Linkerd can work with applications written in any programming language, making it more versatile in a heterogeneous environment.

2. **Use Cases**: Hystrix is focused on providing circuit breaking and fault tolerance mechanisms within an application, whereas Linkerd is more oriented towards providing service discovery, load balancing, and proxying functionalities at the network level.

3. **Scope of Functionality**: Hystrix mainly deals with managing failure within the application code, monitoring and controlling interactions between components, while Linkerd operates at a higher level, managing the entire communication between microservices within a cluster, handling communication patterns, and ensuring security and observability.

4. **Community Support**: Hystrix was originally developed by Netflix and is now a mature project with a large user base and community support, offering extensive documentation and resources for developers. In contrast, Linkerd, developed by Buoyant, has gained popularity more recently but has a growing community and active development support.

5. **Adoption and Integration**: Hystrix requires developers to include specific libraries and annotations within their Java code to leverage its capabilities, while Linkerd can be easily integrated with Kubernetes clusters and other container orchestration platforms, providing seamless service mesh functionality without the need for code changes.

6. **Ecosystem Compatibility**: Hystrix is best suited for monolithic applications or microservices with limited scale, whereas Linkerd is designed to scale efficiently and handle complex communication patterns in large-scale microservices architectures, making it more suitable for modern cloud-native environments.

In Summary, Hystrix and Linkerd differ in terms of programming language support, use cases, scope of functionality, community support, adoption ease, and ecosystem compatibility.

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Detailed Comparison

Hystrix
Hystrix
linkerd
linkerd

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.

linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.

Latency and Fault Tolerance;Realtime Operations; Concurrency
Adaptive load-balancing;Fine-grained instrumentation;Abstractions over service discovery;Runtime traffic routing;Tech that's built for scale
Statistics
GitHub Stars
24.4K
GitHub Stars
-
GitHub Forks
4.7K
GitHub Forks
-
Stacks
309
Stacks
132
Followers
163
Followers
312
Votes
2
Votes
7
Pros & Cons
Pros
  • 2
    Cirkit breaker
Pros
  • 3
    CNCF Project
  • 1
    Service Mesh
  • 1
    Light Weight
  • 1
    Pre-check permissions
  • 1
    Fast Integration

What are some alternatives to Hystrix, linkerd?

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

Moleculer

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

Express Gateway

Express Gateway

A cloud-native microservices gateway completely configurable and extensible through JavaScript/Node.js built for ALL platforms and languages. Enterprise features are FREE thanks to the power of 3K+ ExpressJS battle hardened modules.

ArangoDB Foxx

ArangoDB Foxx

It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.

Dapr

Dapr

It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

Zuul

Zuul

It is the front door for all requests from devices and websites to the backend of the Netflix streaming application. As an edge service application, It is built to enable dynamic routing, monitoring, resiliency, and security. Routing is an integral part of a microservice architecture.

Jersey

Jersey

It is open source, production quality, framework for developing RESTful Web Services in Java that provides support for JAX-RS APIs and serves as a JAX-RS (JSR 311 & JSR 339) Reference Implementation. It provides it’s own API that extend the JAX-RS toolkit with additional features and utilities to further simplify RESTful service and client development.

Ocelot

Ocelot

It is aimed at people using .NET running a micro services / service oriented architecture that need a unified point of entry into their system. However it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. It manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a request to a downstream service.

Micro

Micro

Micro is a framework for cloud native development. Micro addresses the key requirements for building cloud native services. It leverages the microservices architecture pattern and provides a set of services which act as the building blocks

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