molly-brown: Gemini Project on Cloudron

[LoudLemur]

molly-brown is a full-featured gemini server maintained by solderpunk, an active member of the gemini community.

By running your own gemini-server, you can self-host gemlogs (gemini blogs) and help others to do so too, under your own terms. It basically allows you to become an electronic publishing house.

molly-brown
https://tildegit.org/solderpunk/molly-brown

The Gemini Project
https://gemini.circumlunar.space/docs/faq.gmi

List of Gemini Servers
https://github.com/kr1sp1n/awesome-gemini#servers

To browse gemini-space you need a gemini compliant browser, for example

https://github.com/skyjake/lagrange

Or you could try using a portal, if you don't want to install anything:

https://portal.mozz.us/gemini/gemini.circumlunar.space/

[LoudLemur]

Here is an ai generated list of potential solutions to some possible hurdles packaging molly brown:

Here's the tidied section presented as a markdown code block:

Potential Problems and Solutions

1. Golang Version Compatibility

   • Problem: Molly Brown requires specific Golang version compatibility.
   • Solution: Specify the exact Golang version in the Dockerfile and ensure it's compatible with both Molly Brown and Cloudron.

2. Configuration Management

   • Problem: Managing configurations for different Cloudron environments.
   • Solution: Use environment variables in CloudronManifest.json and modify the start script to generate a config file based on these variables.

3. Persistent Storage

   • Problem: Ensuring persistent storage for Gemini content.
   • Solution: Define a volume in CloudronManifest.json for storing Gemini content, ensuring it persists across app updates and restarts.

4. SSL/TLS Certificate Management

   • Problem: Managing SSL/TLS certificates for the Gemini protocol.
   • Solution: Utilize Cloudron's built-in SSL management if possible, or implement a custom solution in the start script to generate and renew certificates.

5. Preserving Custom Configurations

   • Problem: Updating Molly Brown without losing custom configurations.
   • Solution: Store custom configurations in a separate volume and implement a migration script that runs during updates.

6. Resource Allocation

   • Problem: Efficient resource allocation in shared Cloudron environments.
   • Solution: Carefully define resource limits in CloudronManifest.json and optimize Molly Brown's configuration for efficiency.

7. Logging and Monitoring

   • Problem: Integrating logging and monitoring with Cloudron.
   • Solution: Configure Molly Brown to output logs in a format compatible with Cloudron's logging system, possibly using a log forwarding solution.

8. Backup and Restore

   • Problem: Ensuring comprehensive backup and restore functionality.
   • Solution: Clearly define all data that needs to be backed up in CloudronManifest.json and thoroughly test the backup/restore process.