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Apache Dubbo
Apache Dubbo

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DevSpace Cloud

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Apache Dubbo vs DevSpace Cloud: 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; DevSpace Cloud: Secure Multi-Tenancy and On-Demand Namespace Provisioning for Kubernetes. It lets IT teams create an internal Kubernetes offering that enables their developer teams to create isolated namespaces in shared development clusters. The goal is to allow engineers to get access to Kubernetes in a self-service fashion. It restricts developers to their own namespaces allowing secure cluster sharing while handling all the admistrative overhead such as the management of the kube-context on an engineers machine.

Apache Dubbo can be classified as a tool in the "Remote Procedure Call (RPC)" category, while DevSpace Cloud is grouped 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, DevSpace Cloud provides the following key features:

  • Strict Namespace Isolation and Secure Multi-Tenancy
  • Admin UI for Managing Users & Permissions
  • Optimized for Self-Service & Great Developer Experience

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.

What is Apache Dubbo?

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.

What is DevSpace Cloud?

It lets IT teams create an internal Kubernetes offering that enables their developer teams to create isolated namespaces in shared development clusters. The goal is to allow engineers to get access to Kubernetes in a self-service fashion. It restricts developers to their own namespaces allowing secure cluster sharing while handling all the admistrative overhead such as the management of the kube-context on an engineers machine.
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