This tutorial shows you how to deploy Sourcegraph to a single node running on Google Cloud.
If you’re just starting out, we recommend installing Sourcegraph locally. It takes only a few minutes and lets you try out all of the features. If you need scalability and high-availability beyond what a single-server deployment can offer, use the Kubernetes cluster deployment option.
Open your Google Cloud console to create a new VM instance and click Create Instance
Choose an appropriate machine type (we recommend at least 2 vCPU and 7.5 GB RAM, more depending on team size and number of repositories/languages enabled)
Choose Ubuntu 16.04 LTS as your boot disk
Check the boxes for Allow HTTP traffic and Allow HTTPS traffic in the Firewall section
Open the Management, disks, networking, and SSH keys dropdown section and add the following in the Startup script field:
#!/bin/bash curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" sudo apt-get update apt-cache policy docker-ce sudo apt-get install -y docker-ce mkdir -p /root/.sourcegraph/config mkdir -p /root/.sourcegraph/data docker run -d --publish 80:7080 --publish 443:7443 --restart unless-stopped --volume /root/.sourcegraph/config:/etc/sourcegraph --volume /root/.sourcegraph/data:/var/opt/sourcegraph sourcegraph/server:3.11.4
Create your VM, then navigate to its public IP address.
If you have configured a DNS entry for the IP, configure
externalURL to reflect that. (Note:
externalURL was called
appURL in Sourcegraph 2.13 and earlier.)
To update to the most recent version of Sourcegraph (X.Y.Z), SSH into your instance and run the following:
docker ps # get the $CONTAINER_ID of the running sourcegraph/server container docker rm -f $CONTAINER_ID docker run -d ... sourcegraph/server:X.Y.Z
The Docker container has its own internal PostgreSQL and Redis databases. To preserve this data when you kill and recreate the container, you can use external databases for persistence, such as Google Cloud’s Cloud SQL for PostgreSQL and Cloud Memorystore.