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  1. Stackups
  2. Utilities
  3. API Tools
  4. Remote Procedure Call
  5. Apache Dubbo vs KubeAdvisor

Apache Dubbo vs KubeAdvisor

OverviewComparisonAlternatives

Overview

Apache Dubbo
Apache Dubbo
Stacks33
Followers61
Votes0
GitHub Stars41.6K
Forks26.5K
KubeAdvisor
KubeAdvisor
Stacks0
Followers3
Votes0

Apache Dubbo vs KubeAdvisor: What are the differences?

Apache Dubbo: A high performance Java RPC framework. 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; KubeAdvisor: It helps DevOps adopt best practices for Kubernetes. It helps teams adopt best practices to accelerate the adoption of Kubernetes, and optimize their existing stack, with machine learning. It scans K8s to make infrastructure and cloud-native applications reliable, resilient, and observable.

Apache Dubbo belongs to "Remote Procedure Call (RPC)" category of the tech stack, while KubeAdvisor can be primarily classified under "Container Tools".

Some of the features offered by Apache Dubbo are:

  • Transparent interface based RPC
  • Intelligent load balancing
  • Automatic service registration and discovery

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

  • Performance by continuously watching throttled containers/apps and recommending improvements
  • Utilization by comparing used resources with the available capacity to reallocate them based on variable workloads
  • Cost Optimization by suggesting changes at the VM level to save money in case of cloud infrastructure or identify the best configurations if you are running Kubernetes on-prem

Apache Dubbo is an open source tool with 31.1K GitHub stars and 20.4K GitHub forks. Here's a link to Apache Dubbo's open source repository on GitHub.

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Detailed Comparison

Apache Dubbo
Apache Dubbo
KubeAdvisor
KubeAdvisor

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.

It helps teams adopt best practices to accelerate the adoption of Kubernetes, and optimize their existing stack, with machine learning. It scans K8s to make infrastructure and cloud-native applications reliable, resilient, and observable.

Transparent interface based RPC; Intelligent load balancing; Automatic service registration and discovery; High extensibility
Performance by continuously watching throttled containers/apps and recommending improvements; Utilization by comparing used resources with the available capacity to reallocate them based on variable workloads; Cost Optimization by suggesting changes at the VM level to save money in case of cloud infrastructure or identify the best configurations if you are running Kubernetes on-prem; Reliability by observing health probes, deployment configurations, Observability through a detailed analysis of the official cloud-native monitoring pipeline
Statistics
GitHub Stars
41.6K
GitHub Stars
-
GitHub Forks
26.5K
GitHub Forks
-
Stacks
33
Stacks
0
Followers
61
Followers
3
Votes
0
Votes
0
Integrations
Java
Java
IntelliJ IDEA
IntelliJ IDEA
Spring Framework
Spring Framework
Eclipse
Eclipse
Kubernetes
Kubernetes

What are some alternatives to Apache Dubbo, KubeAdvisor?

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.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django

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

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.

.NET

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

Android SDK

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

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