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Version: 24.2

Upgrade installation

Follow these steps to upgrade your database instance and Platform Enterprise installation:

The database volume is persistent on the local machine by default if you use the volumes key in the db or redis section of your docker-compose.yml file to specify a local path to the DB or Redis instance. If your database is not persistent, you must back up your database before performing any application or database upgrades.

  1. Make a backup of the Seqera database. If you use the pipeline optimization service and your groundswell database resides in a database instance separate from your Seqera database, make a backup of your groundswell database as well.
  2. Download the latest versions of your deployment templates and update your Seqera container versions:
  3. Restart the application.
  4. If you're using a containerized database as part of your implementation:
    1. Stop the application.
    2. Upgrade the MySQL image.
    3. Restart the application.
  5. If you're using Amazon RDS or other managed database services:
    1. Stop the application.
    2. Upgrade your database instance.
    3. Restart the application.
  6. If you're using the pipeline optimization service (groundswell database) in a database separate from your Seqera database, update the MySQL image for your groundswell database instance while the application is down (during step 4 or 5 above). If you're using the same database instance for both, the groundswell update will happen automatically during the Seqera database update.

Custom deployments​

  • Run the /migrate-db.sh script provided in the migrate-db container. This will migrate the database schema.
  • Deploy Seqera following your usual procedures.

Nextflow launcher image​

If you must host your nf-launcher container image on a private image registry, copy the nf-launcher image to your private registry. Then update your tower.env with the launch container environment variable:

TOWER_LAUNCH_CONTAINER=<FULL_PATH_TO_YOUR_PRIVATE_IMAGE>

If you're using AWS Batch, you will need to configure a custom job definition and populate the TOWER_LAUNCH_CONTAINER with the job definition name instead.