Question 1

How to install Eclipse Che on my own Kubernetes cluster?

Accepted Answer

Follow the administration guide to prepare your Kubernetes cluster and deploy Che using the CheCluster custom resource. It involves configuring storage, networking, and operator settings, which can be complex without prior experience.

Question 2

Eclipse Che vs Gitpod: which is better for Kubernetes development?

Accepted Answer

Eclipse Che is more Kubernetes-native and customizable for on-premise or multi-cloud deployments, offering deeper integration. Gitpod is simpler and more managed but less flexible for enterprise-scale infrastructure control.

Question 3

Can Eclipse Che work with private Git repositories?

Accepted Answer

Yes, Eclipse Che supports private Git repositories by integrating with authentication mechanisms like SSH keys or OAuth. You need to configure credentials in the workspace settings or cluster level for secure access.

Question 4

What are the costs of running Eclipse Che on-premise?

Accepted Answer

Eclipse Che is open-source with no licensing fees, but costs include Kubernetes infrastructure, storage, and compute resources. You also need to factor in operational overhead for maintenance and updates.

Question 5

How to create a custom devfile for Eclipse Che?

Accepted Answer

Start by referencing the devfile documentation to define components like containers and commands. Use examples from the Che samples or community repositories, then test it in a workspace to ensure portability.

Question 6

Is Eclipse Che suitable for machine learning development?

Accepted Answer

It can be used for ML if you customize runtimes with GPU support and necessary libraries, but performance may lag due to container overhead. Workspaces might require additional configuration for tools like Jupyter or TensorFlow.

Eclipse Che

What is Eclipse Che?

Overview

Use Cases

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Pros & Cons

Pros

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Frequently Asked Questions