@nebulon This was the problem. Porkbun had been left with its "pixie" default settings. Once these were deleted, the installation went perfectly smoothly, as usually happens with Cloudron.
Thanks
(I always forget how to mark these as solved. It is in thread tools somewhere...)
It works ok on a subdomain but won't install onto the bare one, for example:
No Problem: nextcloud.example.com
Problem: example.com
Does Cloudron have support for this yet?
For example, if we have only one server and run a single instance of Cloudron on it, could we run several domains from there?
Server: from e.g. linode
Cloudron: my. example.com
Nextcloud instance one: nextcloud.example.com
Nextcloud instance two: nextcloud.otherdomain.com
Or more simply just running the nextcloud instances on bare domains:
How does it work? You run a client program on your computer, which talks to one or more storage servers on other computers. When you tell your client to store a file, it will encrypt that file, encode it into multiple pieces, then spread those pieces out among various servers. The pieces are all encrypted and protected against modifications. Later, when you ask your client to retrieve the file, it will find the necessary pieces, make sure they havenât been corrupted, reassemble them, and decrypt the result.--
Syncthing
Nextcloud
Resilio Sync
BorgBackup
GlusterFS
Ceph
Restic
Seafile
@robi I haven't seen them there. A Chinese ID like a wechat or phone might be needed. I'd be wary of knock offs and consider what people who have bought Chinese steel have had to say.
@jdaviescoates said in TagSpaces on Cloudron - privacy-focused file manager that combines tagging and note-taking:
@LoudLemur you duplicated yourself! https://forum.cloudron.io/post/85505
So I did, well spotted! Ihall have to delete one
@cdauth thanks very much for your full answers. I hope facilmap is supported on Cloydron soon.
People are wild about deep research. I hope we can put this into testing soon.
@scooke hey, thanks!
I love how you use kanbans to organize domains etc. That is so ingenious!
I never thought of kanbans for this task.
I wonder if there is a way to tag rather than bucket like this. Eg time zone, or language
@malvim something like that but perhaps with an option to see who is already in a team before they join it
@robi said in Open Deep Research on Cloudron - Self-Hosted AI Agent:
https://github.com/huggingface/smolagents/tree/main/examples/open_deep_research
This is another implementation from
Hey robi, well done. How does your version improve on the other one?
Can we have this as an experimental app @girish?
How would you help do this with software.
For example, at school, you would line up in front of two players who would take turns to choose members for their team.
OpenAI are now offering an agent run on o3. It is available on the web platform for ChatGPT. It is called Deep Research, goes out onto the web and comes back to you with a research report.
Below is a detailed analysis of Cloudronâs current strengths and weaknesses, along with some forwardâlooking ideasâespecially in light of rapid developments in artificial intelligence, container packaging, and selfâhosting technologies.
Turnkey SelfâHosting Experience
Cloudronâs primary appeal lies in its âall-inâoneâ approach. It automates many traditionally manual system administration tasks: installing web applications via Docker containers; automatically configuring DNS, SSL certificates (with Letâs Encrypt), and a builtâin mail server; and offering centralized user management and backup/restore functionality. This makes it accessible even to users with limited DevOps experience .
Consistent Application Management and Updates
The platformâs design allows users to deploy, update, and roll back applications easily via manifest files and an App Storeâlike interface. Its packaging frameworkâbuilt around Dockerfiles and a standardized CloudronManifest.jsonâensures that apps run with a consistent configuration and security posture. The packaging tutorial and CLI tools simplify this process further .
Ease of Maintenance and Stability
Users and forum discussions consistently note that once Cloudron is set up, ongoing maintenance is minimal. Automated updates for both the underlying system and installed apps mean that even nonâexpert users can keep their selfâhosted services secure over the long term .
Performance and Resource Constraints
Some reviews and user experiences have noted that, out of the box, Cloudronâs performance (for instance, when running specific applications like WordPress) may be less than optimal compared with some alternatives. This can be partly due to its generic configuration aimed at wide compatibility rather than fineâtuned performance for every single use case.
Limited App Catalog and Customization Challenges
While Cloudron offers over 120 supported apps, the selection can be more limited than what you might find with solutions like Softaculousâwhich boasts thousands of options. In addition, packaging custom or emerging applications (for example, resourceâintensive AI services) may require more advanced tweaks than the typical âpointâandâclickâ installation experience.
Pricing Model for Small Users
Although the platform automates many tasks, its premium tiers (starting around USDÂ 30/month for unlimited apps and a builtâin mail server) may seem steep for hobbyists or very small operations, especially when compared to free or lowerâcost alternatives for simple selfâhosting.
Leveraging AI for Automated Packaging and Configuration
There is a growing trend where tools like ChatGPT are being used to generate configuration files and Docker manifests. Cloudron could integrate AIâdriven assistants that automatically generate or optimize CloudronManifest.json files and Dockerfiles for new applications. Such tools would further reduce the barrier to entry for packaging custom apps, as discussed in forum threads on using AI for packaging Cloudron apps .
Integrating SelfâHosted AI Modules
Recent community experiments (for example, ChatPad and other AI chat interfaces) show that selfâhosted AI is rapidly maturing . As AI models become more lightweight and efficient, Cloudron could consider offering native support or streamlined packaging for AI applications such as local LLM interfaces or even AIâpowered monitoring tools. Such features could help users automate troubleshooting or optimize resource allocation in real time.
Enhanced Automation and Predictive Maintenance
Advancements in monitoring and anomaly detection powered by AI could be incorporated into Cloudronâs management dashboard. Predictive maintenanceâwhere the system learns typical usage patterns and warns of impending issues before they occurâcould further reduce the need for manual intervention and make longâterm operation even smoother.
Expanding Ecosystem and Integration with Modern Container Runtimes
As container orchestration evolves (for instance, with improvements in lightweight runtimes like Podman or advanced Kubernetes integrations), Cloudron might consider adopting a more modular architecture. This would not only boost performance for specific highâdemand apps (like AI services that might require GPU support) but also broaden the range of deployable applications beyond the current Dockerâcentric model.
Community and Developer Incentives
Finally, to expand the app catalog and encourage thirdâparty contributions, Cloudron might develop further incentives for developers. This could include enhanced developer tools, streamlined submission processes (possibly assisted by AI), and more flexible pricing tiers aimed at nonâcommercial or hobbyist users.
Cloudron currently shines as a userâfriendly platform that abstracts away much of the complexity of selfâhosting. Its strengths in automation, security, and ease of maintenance make it ideal for users who want a âset it and forget itâ solution. However, performance limitations, a relatively narrow app catalog compared to other installers, and a pricing model that may not suit everyone are challenges that need addressing.
By embracing advancements in AI for smarter packaging and predictive maintenance, integrating support for emerging selfâhosted AI applications, and evolving its container management approach, Cloudron can continue to be a leader in the selfâhosting space. These improvements would not only enhance the user experience but also extend the platformâs appeal to a broader range of usersâfrom individual enthusiasts to enterprise teams.
This comprehensive evolution would help Cloudron remain competitive in a fastâchanging technological landscape where AI and automation are increasingly central to every aspect of software deployment and management.
