- You must have a GitHub Enterprise license file. To download an existing license file or request a trial license, visit enterprise.github.com. For more information, see "Managing your GitHub Enterprise license."
- You must have a Google Cloud Platform account capable of launching Google Compute Engine (GCE) virtual machine (VM) instances. For more information, see the Google Cloud Platform website and the Google Cloud Platform Documentation.
- Most actions needed to launch your instance may also be performed using the Google Cloud Platform Console. However, we recommend installing the gcloud compute command-line tool for initial setup. Examples using the gcloud compute command-line tool are included below. For more information, see the "gcloud compute" installation and setup guide in the Google documentation.
We recommend different hardware configurations depending on the number of user licenses for your GitHub Enterprise Server instance. If you provision more resources than the minimum requirements, your instance will perform and scale better.
Note: If you enable GitHub Actions or GitHub Packages, your instance requires additional hardware resources. Minimum requirements for an instance with beta features enabled are bold in the following table. For more information, see "Beta features in GitHub Enterprise Server 2.22."
|User licenses||vCPUs||Memory||Attached storage||Root storage|
|Trial, demo, or 10 light users||2|
or 32 GB
or 150 GB
|10 to 3,000||4|
or 48 GB
or 300 GB
|3,000 to 5000||8|
|64 GB||500 GB||200 GB|
|5,000 to 8000||12|
|96 GB||750 GB||200 GB|
|8,000 to 10,000+||16|
or 160 GB
|1000 GB||200 GB|
You can sign up for beta features available in GitHub Enterprise Server 2.22 such as GitHub Actions, GitHub Packages, and code scanning. For more information, see the release notes for the 2.22 series on the GitHub Enterprise website.
If you enable beta features for GitHub Enterprise Server 2.22, your instance requires additional hardware resources. For more information, see "Minimum requirements".
If you enable the beta for GitHub Actions, review the following requirements and recommendations.
You must configure at least one runner for GitHub Actions workflows. For more information, see "About self-hosted runners."
You must configure external blob storage. For more information, see "Getting started with GitHub Actions for GitHub Enterprise Server."
You may need to configure additional CPU and memory resources. The additional resources you need to provision for GitHub Actions depend on the number of workflows your users run concurrently, and the overall levels of activity for users, automations, and integrations.
Maximum jobs per minute Additional vCPUs Additional memory Light testing 4 30.5 GB 25 8 61 GB 35 16 122 GB 100 32 244 GB
We recommend a high-performance SSD with high input/output operations per second (IOPS) and low latency for GitHub Enterprise Server. Workloads are I/O intensive. If you use a bare metal hypervisor, we recommend directly attaching the disk or using a disk from a storage area network (SAN).
Your instance requires a persistent data disk separate from the root disk. For more information, see "System overview."
If you enable the beta of GitHub Actions, you'll need to configure external blob storage. For more information, see "Getting started with GitHub Actions for GitHub Enterprise Server."
You can resize your instance's root disk by building a new instance or using an existing instance. For more information, see "Increasing storage capacity."
GitHub Enterprise Server requires more CPU and memory resources depending on levels of activity for users, automations, and integrations.
When you increase CPU resources, we recommend adding at least 6.5 GB of memory for each vCPU (up to 16 vCPUs) that you provision for the instance. When you use more than 16 vCPUs, you don't need to add 6.5 GB of memory for each vCPU, but you should monitor your instance to ensure it has enough memory.
Warning: We recommend that users configure webhook events to notify external systems of activity on GitHub Enterprise Server. Automated checks for changes, or polling, will negatively impact the performance and scalability of your instance. For more information, see "About webhooks."
You can increase your instance's CPU or memory resources. For more information, see "Increasing CPU or memory resources."
Before launching your GitHub Enterprise Server instance on Google Cloud Platform, you'll need to determine the machine type that best fits the needs of your organization.
GitHub Enterprise Server is supported on the following Google Compute Engine (GCE) machine types. For more information, see the Google Cloud Platform machine types article.
Based on your user license count, we recommend these machine types.
|Trial, demo, or 10 light users||n1-standard-4|
|10 - 3000||n1-standard-8|
|3000 - 5000||n1-highmem-8|
|5000 - 8000||n1-highmem-16|
|8000 - 10000+||n1-highmem-32|
Note: You can always scale up your CPU or memory by resizing your instance. However, because resizing your CPU or memory requires downtime for your users, we recommend over-provisioning resources to account for scale.
Using the gcloud compute command-line tool, list the public GitHub Enterprise Server images:
$ gcloud compute images list --project github-enterprise-public --no-standard-images
Take note of the image name for the latest GCE image of GitHub Enterprise Server.
GCE virtual machines are created as a member of a network, which has a firewall. For the network associated with the GitHub Enterprise Server VM, you'll need to configure the firewall to allow the required ports listed in the table below. For more information about firewall rules on Google Cloud Platform, see the Google guide "Firewall Rules Overview."
Using the gcloud compute command-line tool, create the network. For more information, see "gcloud compute networks create" in the Google documentation.
$ gcloud compute networks create NETWORK-NAME --subnet-mode auto
Create a firewall rule for each of the ports in the table below. For more information, see "gcloud compute firewall-rules" in the Google documentation.
$ gcloud compute firewall-rules create RULE-NAME \ --network NETWORK-NAME \ --allow tcp:22,tcp:25,tcp:80,tcp:122,udp:161,tcp:443,udp:1194,tcp:8080,tcp:8443,tcp:9418,icmp
This table identifies the required ports and what each port is used for.
Port Service Description 22 SSH Git over SSH access. Clone, fetch, and push operations to public/private repositories supported. 25 SMTP SMTP with encryption (STARTTLS) support. 80 HTTP Web application access. All requests are redirected to the HTTPS port when SSL is enabled. 122 SSH Instance shell access. The default SSH port (22) is dedicated to application git+ssh network traffic. 161/UDP SNMP Required for network monitoring protocol operation. 443 HTTPS Web application and Git over HTTPS access. 1194/UDP VPN Secure replication network tunnel in high availability configuration. 8080 HTTP Plain-text web based Management Console. Not required unless SSL is disabled manually. 8443 HTTPS Secure web based Management Console. Required for basic installation and configuration. 9418 Git Simple Git protocol port. Clone and fetch operations to public repositories only. Unencrypted network communication. If you have enabled private mode on your instance, then opening this port is only required if you also enabled anonymous Git read access. For more information, see "Enforcing repository management policies in your enterprise."
If this is a production appliance, we strongly recommend reserving a static external IP address and assigning it to the GitHub Enterprise Server VM. Otherwise, the public IP address of the VM will not be retained after restarts. For more information, see the Google guide "Reserving a Static External IP Address."
In production High Availability configurations, both primary and replica appliances should be assigned separate static IP addresses.
To create the GitHub Enterprise Server instance, you'll need to create a GCE instance with your GitHub Enterprise Server image and attach an additional storage volume for your instance data. For more information, see "Hardware considerations."
Using the gcloud compute command-line tool, create a data disk to use as an attached storage volume for your instance data, and configure the size based on your user license count. For more information, see "gcloud compute disks create" in the Google documentation.
$ gcloud compute disks create DATA-DISK-NAME --size DATA-DISK-SIZE --type DATA-DISK-TYPE --zone ZONE
Then create an instance using the name of the GitHub Enterprise Server image you selected, and attach the data disk. For more information, see "gcloud compute instances create" in the Google documentation.
$ gcloud compute instances create INSTANCE-NAME \ --machine-type n1-standard-8 \ --image GITHUB-ENTERPRISE-IMAGE-NAME \ --disk name=DATA-DISK-NAME \ --metadata serial-port-enable=1 \ --zone ZONE \ --network NETWORK-NAME \ --image-project github-enterprise-public
- Copy the virtual machine's public DNS name, and paste it into a web browser.
- At the prompt, upload your license file and set a management console password. For more information, see "Managing your GitHub Enterprise license."
- In the Management Console, configure and save your desired settings. For more information, see "Configuring the GitHub Enterprise Server appliance."
- The instance will restart automatically.
- Click Visit your instance.