Enterprise Solutions Deployment #88

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opened 2026-02-16 11:19:43 -05:00 by yindo · 5 comments
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Originally created by @benjamin-mogensen on GitHub (Mar 4, 2025).

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  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • [FOR CHINESE USERS] 请务必使用英文提交 Issue,否则会被关闭。谢谢!:)
  • Please do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing? Tell me about your story.

To support a structured and efficient deployment process, we require enhanced deployment capabilities within Dify:

  • Automated Environment Deployment: The ability to deploy applications from development to production without manual import/export of DSL files.
  • Scheduled Deployments: Deployments should be schedulable to allow for controlled rollouts.
  • Rollback Capability: A mechanism to revert to a previous deployment state in case of failures.
  • Error Handling: Built-in error detection and handling to prevent failed or partial deployments.
  • Data Tier & Knowledge Base Deployment: Deployment and rollback should extend to the data tier, including any knowledge bases or embedded data sources.

2. Additional context or comments

@crazywoola @guchenhe

3. Can you help us with this feature?

  • I am interested in contributing to this feature.
Originally created by @benjamin-mogensen on GitHub (Mar 4, 2025). ### Self Checks - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [x] [FOR CHINESE USERS] 请务必使用英文提交 Issue,否则会被关闭。谢谢!:) - [x] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell me about your story. To support a structured and efficient deployment process, we require enhanced deployment capabilities within Dify: - Automated Environment Deployment: The ability to deploy applications from development to production without manual import/export of DSL files. - Scheduled Deployments: Deployments should be schedulable to allow for controlled rollouts. - Rollback Capability: A mechanism to revert to a previous deployment state in case of failures. - Error Handling: Built-in error detection and handling to prevent failed or partial deployments. - Data Tier & Knowledge Base Deployment: Deployment and rollback should extend to the data tier, including any knowledge bases or embedded data sources. ### 2. Additional context or comments @crazywoola @guchenhe ### 3. Can you help us with this feature? - [ ] I am interested in contributing to this feature.
yindo added the enhancement label 2026-02-16 11:19:43 -05:00
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@crazywoola commented on GitHub (Mar 4, 2025):

Regarding this feature request, Enterprise solution is supported via our enterprise version. Please contact our business team to get a quota via business@dify.ai.

Besides that, we do not provide this feature for community version.

@crazywoola commented on GitHub (Mar 4, 2025): Regarding this feature request, Enterprise solution is supported via our enterprise version. Please contact our business team to get a quota via business@dify.ai. Besides that, we do not provide this feature for community version.
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@benjamin-mogensen commented on GitHub (Mar 4, 2025):

Regarding this feature request, Enterprise solution is supported via our enterprise version. Please contact our business team to get a quota via business@dify.ai.

Besides that, we do not provide this feature for community version.

@crazywoola I agreed with @guchenhe that the process is to create the feature requests as issues here. So I am bit puzzled by you closing the issue. Where do I then, as an enterprise customer, track the process of, and the agreed details of requirement and solution, of the individual feature requests?

@benjamin-mogensen commented on GitHub (Mar 4, 2025): > Regarding this feature request, Enterprise solution is supported via our enterprise version. Please contact our business team to get a quota via business@dify.ai. > > Besides that, we do not provide this feature for community version. @crazywoola I agreed with @guchenhe that the process is to create the feature requests as issues here. So I am bit puzzled by you closing the issue. Where do I then, as an enterprise customer, track the process of, and the agreed details of requirement and solution, of the individual feature requests?
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@crazywoola commented on GitHub (Mar 5, 2025):

@benjamin-mogensen I see, I just got the messages from her. I will reopen this issue, you can use this milestone to track all enterprise related issue https://github.com/langgenius/dify/milestone/14

@crazywoola commented on GitHub (Mar 5, 2025): @benjamin-mogensen I see, I just got the messages from her. I will reopen this issue, you can use this milestone to track all enterprise related issue https://github.com/langgenius/dify/milestone/14
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@benjamin-mogensen commented on GitHub (Apr 22, 2025):

@Yawen-1010 this is still to be open as it is not implemented/ released yet.

@benjamin-mogensen commented on GitHub (Apr 22, 2025): @Yawen-1010 this is still to be open as it is not implemented/ released yet.
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@Yawen-1010 commented on GitHub (Apr 23, 2025):

Hi, @benjamin-mogensen. Sure, no problem. I saw my colleague reopened this issue on Mar 5. We can keep it open and follow up on the progress of this feature.

Image
@Yawen-1010 commented on GitHub (Apr 23, 2025): Hi, @benjamin-mogensen. Sure, no problem. I saw my colleague reopened this issue on Mar 5. We can keep it open and follow up on the progress of this feature. <img width="337" alt="Image" src="https://github.com/user-attachments/assets/e700e07a-aa12-4f33-bacb-971e25cc1b70" />
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Reference: langgenius/dify-docs-archived#88