This version of GitHub Enterprise was discontinued on 2020-11-12. No patch releases will be made, even for critical security issues. For better performance, improved security, and new features, upgrade to the latest version of GitHub Enterprise. For help with the upgrade, contact GitHub Enterprise support.

Installing GitHub Enterprise Server on Google Cloud Platform

To install GitHub Enterprise Server on Google Cloud Platform, you must deploy onto a supported machine type and use a persistent standard disk or a persistent SSD.

In this article


Hardware considerations

Minimum requirements

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.

User licensesvCPUsMemoryAttached storageRoot storage
Trial, demo, or 10 light users216 GB100 GB200 GB
10 to 3,000432 GB250 GB200 GB
3,000 to 5000864 GB500 GB200 GB
5,000 to 80001296 GB750 GB200 GB
8,000 to 10,000+16128 GB1000 GB200 GB

For more information about adjusting resources for an existing instance, see "Increasing storage capacity" and "Increasing CPU or memory resources."


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."

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."

CPU and memory

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.

Determining the machine type

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.

Supported machine types

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.

SeatsRecommended type
Trial, demo, or 10 light usersn1-standard-4
10 - 3000n1-standard-8
3000 - 5000n1-highmem-8
5000 - 8000n1-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.

Selecting the GitHub Enterprise Server image

  1. 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
  2. Take note of the image name for the latest GCE image of GitHub Enterprise Server.

Configuring the firewall

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."

  1. 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
  2. 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.

    22SSHGit over SSH access. Clone, fetch, and push operations to public/private repositories supported.
    25SMTPSMTP with encryption (STARTTLS) support.
    80HTTPWeb application access. All requests are redirected to the HTTPS port when SSL is enabled.
    122SSHInstance shell access. The default SSH port (22) is dedicated to application git+ssh network traffic.
    161/UDPSNMPRequired for network monitoring protocol operation.
    443HTTPSWeb application and Git over HTTPS access.
    1194/UDPVPNSecure replication network tunnel in high availability configuration.
    8080HTTPPlain-text web based Management Console. Not required unless SSL is disabled manually.
    8443HTTPSSecure web based Management Console. Required for basic installation and configuration.
    9418GitSimple 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."

Allocating a static IP and assigning it to the VM

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.

Creating the GitHub Enterprise Server instance

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."

  1. 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
  2. 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 \
    --disk name=DATA-DISK-NAME \
    --metadata serial-port-enable=1 \
    --zone ZONE \
    --network NETWORK-NAME \
    --image-project github-enterprise-public

Configuring the instance

  1. Copy the virtual machine's public DNS name, and paste it into a web browser.
  2. At the prompt, upload your license file and set a management console password. For more information, see "Managing your GitHub Enterprise license."
  3. In the Management Console, configure and save your desired settings. For more information, see "Configuring the GitHub Enterprise Server appliance."
  4. The instance will restart automatically.
  5. Click Visit your instance.

Further reading