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
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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
What do the t3.small and t3.medium dimensions map to in real compute terms?
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.
Am I charged the software fee when the EC2 instance is stopped?
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.
Does adding more developers or repositories increase what I pay?
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
Helpful?
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.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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:
Take an EBS snapshot of the instance's volume (EC2 console, Volumes, Create snapshot).
Dump the database: cd /opt/appliance && sudo docker compose exec -T db pg_dump -U gitea -Fc gitea > /tmp/gitea.dump
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.
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.
Self-hosted low-code platform to build internal tools, admin panels, and dashboards over your own databases and APIs, production-hardened with auto-TLS.
GitGuardian helps companies close credential-based breach paths. It finds secrets wherever they live, prioritizes remediation based on rich context, and prevents new exposure across code, systems, and AI.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.