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Deploying trains-server on Google Cloud Platform

To easily deploy trains-server on GCP, use one of our pre-built GCP Custom Images.
We provide Custom Images for each released version of trains-server, see Released versions below.

Once your GCP instance is up and running using our Custom Image, configure the Trains client to use your trains-server.
The service port numbers on our trains-server GCP Custom Image are:

  • Web application: 8080
  • API Server: 8008
  • File Server: 8081

The persistent storage configuration:

  • MongoDB: /opt/trains/data/mongo/
  • ElasticSearch: /opt/trains/data/elastic/
  • File Server: /mnt/fileserver/

For examples and use cases, check the Trains usage examples.

For instructions on launching an instance using a GCP Custom Image, see the Manually importing virtual disks in the Compute Engine Documentation. For more information on Custom Images, see Custom Images in the Compute Engine Documentation.

The minimum recommended amount of RAM for a trains-server instance is 8GB.

Upgrading

To upgrade trains-server on an existing GCP instance based on one of these Custom Images, SSH into the instance and follow the upgrade instructions for trains-server.

Released versions

The following sections contain lists of Custom Image URLs (exported in different formats) for each released trains-server version.

Latest version Custom Images - v0.14.1