Alternatives to Apache Dubbo logo

Alternatives to Apache Dubbo

Spring Cloud, gRPC, Apache Thrift, Node.js, and Kubernetes are the most popular alternatives and competitors to Apache Dubbo.
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What is Apache Dubbo and what are its top alternatives?

It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.
Apache Dubbo is a tool in the Remote Procedure Call (RPC) category of a tech stack.
Apache Dubbo is an open source tool with 34.1K GitHub stars and 22.6K GitHub forks. Here鈥檚 a link to Apache Dubbo's open source repository on GitHub

Top Alternatives to Apache Dubbo

  • Spring Cloud

    Spring Cloud

    Spring helps development teams everywhere build simple, portable, fast and flexible JVM-based systems and applications. ...

  • gRPC

    gRPC

    gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking... ...

  • Apache Thrift

    Apache Thrift

    The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages. ...

  • Node.js

    Node.js

    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...

  • Kubernetes

    Kubernetes

    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. ...

  • Django

    Django

    Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. ...

  • ASP.NET

    ASP.NET

    .NET is a developer platform made up of tools, programming languages, and libraries for building many different types of applications. ...

  • Laravel

    Laravel

    It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching. ...

Apache Dubbo alternatives & related posts

Spring Cloud logo

Spring Cloud

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Spring helps development teams everywhere build simple, portable,fast and flexible JVM-based systems and applications.
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      gRPC logo

      gRPC

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      By mid-2015, Uber鈥檚 rider growth coupled with its cadence of releasing new services, like Eats and Freight, was pressuring the infrastructure. To allow the decoupling of consumption from production, and to add an abstraction layer between users, developers, and infrastructure, Uber built Catalyst, a serverless internal service mesh.

      Uber decided to build their own severless solution, rather that using something like AWS Lambda, speed for its global production environments as well as introspectability.

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      Apache Thrift logo

      Apache Thrift

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          Since the beginning, Cal Henderson has been the CTO of Slack. Earlier this year, he commented on a Quora question summarizing their current stack.

          Apps
          • Web: a mix of JavaScript/ES6 and React.
          • Desktop: And Electron to ship it as a desktop application.
          • Android: a mix of Java and Kotlin.
          • iOS: written in a mix of Objective C and Swift.
          Backend
          • The core application and the API written in PHP/Hack that runs on HHVM.
          • The data is stored in MySQL using Vitess.
          • Caching is done using Memcached and MCRouter.
          • The search service takes help from SolrCloud, with various Java services.
          • The messaging system uses WebSockets with many services in Java and Go.
          • Load balancing is done using HAproxy with Consul for configuration.
          • Most services talk to each other over gRPC,
          • Some Thrift and JSON-over-HTTP
          • Voice and video calling service was built in Elixir.
          Data warehouse
          • Built using open source tools including Presto, Spark, Airflow, Hadoop and Kafka.
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          Node.js logo

          Node.js

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          When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

          So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

          React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

          Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

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          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber | 35 upvotes 路 3.2M views

          How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

          Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

          Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

          https://eng.uber.com/distributed-tracing/

          (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

          Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber | 35 upvotes 路 3.2M views

          How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

          Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

          Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

          https://eng.uber.com/distributed-tracing/

          (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

          Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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          Yshay Yaacobi

          Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

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          ASP.NET logo

          ASP.NET

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            Greg Neumann

            Finding the most effective dev stack for a solo developer. Over the past year, I've been looking at many tech stacks that would be 'best' for me, as a solo, indie, developer to deliver a desktop app (Windows & Mac) plus mobile - iOS mainly. Initially, Xamarin started to stand-out. Using .NET Core as the run-time, Xamarin as the native API provider and Xamarin Forms for the UI seemed to solve all issues. But, the cracks soon started to appear. Xamarin Forms is mobile only; the Windows incarnation is different. There is no Mac UI solution (you have to code it natively in Mac OS Storyboard. I was also worried how Xamarin Forms , if I was to use it, was going to cope, in future, with Apple's new SwiftUI and Google's new Fuchsia.

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            Laravel logo

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            Antonio Sanchez

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