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  5. Azure Service Fabric vs linkerd

Azure Service Fabric vs linkerd

OverviewComparisonAlternatives

Overview

linkerd
linkerd
Stacks132
Followers312
Votes7
Azure Service Fabric
Azure Service Fabric
Stacks103
Followers284
Votes26
GitHub Stars3.0K
Forks399

Azure Service Fabric vs linkerd: What are the differences?

Developers describe Azure Service Fabric as "Distributed systems platform that simplifies build, package, deploy, and management of scalable microservices apps". 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. On the other hand, linkerd is detailed as "Twitter-Style Operability for Microservices". 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.

Azure Service Fabric and linkerd can be primarily classified as "Microservices" tools.

Some of the features offered by Azure Service Fabric are:

  • Simplify microservices development and application lifecycle management
  • Reliably scale and orchestrate containers and microservices
  • Data-aware platform for low-latency, high-throughput workloads with stateful containers or microservices

On the other hand, linkerd provides the following key features:

  • Adaptive load-balancing
  • Fine-grained instrumentation
  • Abstractions over service discovery

Azure Service Fabric and linkerd are both open source tools. linkerd with 5.02K GitHub stars and 501 forks on GitHub appears to be more popular than Azure Service Fabric with 2.57K GitHub stars and 304 GitHub forks.

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Detailed Comparison

linkerd
linkerd
Azure Service Fabric
Azure Service Fabric

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.

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.

Adaptive load-balancing;Fine-grained instrumentation;Abstractions over service discovery;Runtime traffic routing;Tech that's built for scale
Simplify microservices development and application lifecycle management; Reliably scale and orchestrate containers and microservices; Data-aware platform for low-latency, high-throughput workloads with stateful containers or microservices; Run anything – your choice of languages and programming models; Run anywhere – supports Windows/Linux in Azure, on-premises, or other clouds; Scales up to thousands of machines
Statistics
GitHub Stars
-
GitHub Stars
3.0K
GitHub Forks
-
GitHub Forks
399
Stacks
132
Stacks
103
Followers
312
Followers
284
Votes
7
Votes
26
Pros & Cons
Pros
  • 3
    CNCF Project
  • 1
    Service Mesh
  • 1
    Fast Integration
  • 1
    Pre-check permissions
  • 1
    Light Weight
Pros
  • 5
    Intelligent, fast, reliable
  • 4
    Runs most of Azure core services
  • 3
    Reliability
  • 3
    Open source
  • 3
    Superior programming models

What are some alternatives to linkerd, Azure Service Fabric?

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.

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

Claudia

Claudia

Claudia helps you deploy Node.js microservices to Amazon Web Services easily. It automates and simplifies deployment workflows and error prone tasks, so you can focus on important problems and not have to worry about AWS service quirks.

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