Apache Dubbo vs Swiss Army Kube for Kubeflow
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Detailed Comparison
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 is a free open-source Terraform-based IaC tool that allows you to declaratively set up modular ML-ready AWS EKS clusters with Kubeflow, automated with GitOps. It provides a blueprint based on the best DevOps practices, which allows for one-click cluster replication, easy management, and augmenting your clusters with any resources, not limited to native tools. It helps to quickly bring ML-ready clusters to production, and scale them by adding new modules as you go. |
Transparent interface based RPC;
Intelligent load balancing;
Automatic service registration and discovery;
High extensibility
| Provision an AWS EKS cluster with Kubeflow inside in minutes;
Use existing project structure to set up your ML cluster configuration;
Configure your deployment with a single .tf file;
Deploy with a couple of Terraform commands;
Add any resources to your cluster before or after deployment;
Deliver your projects and apps with GitOps CI/CD automation;
Easily edit, reconfigure, rerun, add or destroy resources;
Manage your cluster with Terraform and Kubernetes CLI or ArgoCD CLI/UI;
Replicate your cluster configuration with a couple of clicks;
Configure and deploy as many ML clusters as you need fast;
Scale deployments by adding new resources as modules;
Avoid allocating additional engineers for Kubeflow cluster deployments |
Statistics | |
GitHub Stars 41.6K | GitHub Stars 65 |
GitHub Forks 26.5K | GitHub Forks 24 |
Stacks 33 | Stacks 1 |
Followers 61 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
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