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Release notes for version 20.10#


Tower 20.10.x introduces support for:

  • Add Workflow sharing feature
  • Add support for Slurm batch cluster
  • Add support for IBM LSF batch cluster
  • Add customizable navbar menu
  • Add built-in support for MariaDB
  • Add built-in support for Google SSO
  • Add auth allow-list emails
  • Update Java mail 1.6.2
  • System security improvements

Updating Tower deployment from version 20.08.x to 20.10.x#

Compute environments#

It is now required to define the Compute environments that are to be available to users in the Tower configuration.

The following ids options are available:

  • awsbatch-platform: AWS Batch cloud compute service
  • gls-platform: Google LifeSciences cloud compute service
  • lsf-platform: IBM LSF batch scheduler
  • slurm-platform: Slurm batch scheduler

Choose one or more of these platform ids and append to your current MICRONAUT_ENVIRONMENTS variable, separating them via a comma.

Database schema#

This Tower version requires a database schema update. Follow these steps to update your DB instance and the Tower installation.

Kubernetes based deployment#

1. Update the Tower container images in the Kubernetes manifest yaml files to:


Refer to the manifests included in the Kubernetes section for details.

2. Update the Tower cron service using the following:

kubectl apply -f tower-cron.yml


This task will automatically run the Tower database schema update tool.

3. Update the Tower backend and frontend services using the following command:

kubectl apply -f tower-svc.yml

Custom deployment script#

1. Pull or update the Tower container images references in your deployment script(s) to:


2. Update the Tower database schema by running the / provided in the backend container.


Make sure to include the identical environment as used in the normal backend execution.

3. Once the schema update completes, deploy Tower according to the usual procedure.


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