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    AppXen Git

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    Sold by: AppXen 
    Deployed on AWS
    Self-hosted Git service with repositories, issues, pull requests, and CI, production-hardened with auto-TLS, backups, and updates.

    Overview

    Self-hosted Git, packaged to run in production from first boot: automatic HTTPS (Caddy with Let's Encrypt or self-signed), PostgreSQL persistence, a firewall, and automatic security updates. Host your repositories, issues, pull requests, wiki, and built-in CI in your own AWS account - own your code and your data, with no per-seat fees.

    Git-over-SSH is available on port 2222 and HTTPS clone works out of the box. The hardened Ubuntu 24.04 base includes a ufw firewall, key-only SSH, and unattended security updates. Auto-generated admin credentials are written on first boot.

    This is independent software packaged by AppXen and is not affiliated with or endorsed by the Gitea project.

    Highlights

    • Repositories, issues, pull requests, wiki, and CI behind automatic TLS
    • PostgreSQL backing store (durable, not SQLite) on a hardened Ubuntu 24.04 base
    • Auto-generated admin credentials on first boot; Git-over-SSH on port 2222

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04 LTS

    Deployed on AWS
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    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

     Info
    Dimension
    Cost/hour
    t3.small
    Recommended
    $0.029
    t3.medium
    $0.029

    AI Insights

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    Dimensions summary

    You pay an hourly software fee for AppXen Git, billed through AWS. The two dimensions match the EC2 instance size you run it on: t3.medium and t3.small. Both bill by the hour and cover the same self-hosted Git software. Choose the size based on the compute your team needs. You pay for the EC2 instance and storage separately, and control that instance yourself. Pricing does not change with the number of users; it is flat per hour regardless of how many people use the software.

    Top-of-mind questions for buyers

    Each dimension matches the size of the EC2 instance you run the software on. The t3.small option runs on a smaller EC2 size; t3.medium runs on a size with more compute and memory. The website recommends t3.small or larger. Pick the size based on your team's load.
    The software fee meters running hours. A fully stopped instance does not accrue the hourly software charge. You still pay AWS separately for the instance and for EBS storage, which may continue while the instance is stopped. You control the instance yourself.
    No. The hourly software fee is flat and does not track user count. One instance serves your whole team. Cost changes only if you switch between the t3.small and t3.medium sizes, or as your EC2 and storage usage changes.
    appxen.ai
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    Vendor refund policy

    Refunds are available on a case-by-case basis. To request a refund, email support@appxen.ai  within 30 days of the charge; we typically respond within 1 business day.

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    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    This release moves Gitea from 1.26.2 to 1.27.3 and ships the operating system and database layers with their current security updates. The PostgreSQL helper that starts the database is rebuilt on a current Go release. Gitea upgrades its own database schema the first time it starts, so there is no manual migration step.

    To update: this appliance keeps its data on the instance, so a new version means a new instance and a copy of your data. Back up first, on the old instance:

    1. Take an EBS snapshot of the instance's volume (EC2 console, Volumes, Create snapshot).
    2. Dump the database: cd /opt/appliance && sudo docker compose exec -T db pg_dump -U gitea -Fc gitea > /tmp/gitea.dump
    3. Copy the repositories and settings: sudo docker run --rm -v appliance_gitea_data:/data -v /tmp:/out alpine tar czf /out/gitea-data.tgz -C /data . (run sudo docker volume ls if your volume names differ), then copy both files off the instance.

    Launch the new version, stop the stack (sudo docker compose stop), restore the data volume and the dump into it, and start again. Gitea upgrades its own database schema when it starts. Gitea 1.27 changes two things you may notice:

    • Actions workflows: support for reusable workflows was reworked upstream (a breaking change in Gitea 1.27.0). If your repositories use uses: to call workflows from other repositories or files, run them once after the update and check the results.
    • Web pages now use a script nonce in their Content-Security-Policy. Custom templates or extra header and footer HTML that include inline scripts need the nonce, or the browser will block them. Stock Gitea is not affected.

    Gitea 1.27.1 to 1.27.3 are security and bug fix releases. The full upstream list is at https://github.com/go-gitea/gitea/releases  (v1.27.0 to v1.27.3).

    Additional details

    Usage instructions

    Launch the instance, then browse to https://<public-ip>/. Initial admin credentials are written to /opt/appliance/credentials.txt (retrieve via SSH).

    Support

    Vendor support

    Email support@appxen.ai  for setup help and troubleshooting. Best-effort email support during business hours. Documentation and launch guide:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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