Chapter 3. Upgrading 3scale version 2.11.0 to version 2.11.1 using templates

Procedure

1. Depending on the database used with 3scale, set ${SYSTEM_DB} with one of the following values:

   • If the database is MySQL, SYSTEM_DB=system-mysql.
   • If the database is PostgreSQL, SYSTEM_DB=system-postgresql.

2. Create a backup file with the existing DeploymentConfigs:

   $ THREESCALE_DC_NAMES="apicast-production apicast-staging backend-cron backend-listener backend-redis backend-worker system-app system-memcache ${SYSTEM_DB} system-redis system-sidekiq system-sphinx zync zync-database zync-que"
   
   for component in ${THREESCALE_DC_NAMES}; do oc get --export -o yaml dc ${component} > ${component}_dc.yml ; done

3. Backup all existing OpenShift resources in the project that are exported through the export all command:

   $ oc get -o yaml --export all > threescale-project-elements.yaml

4. Create a backup file with the additional elements that are not exported with the export all command:

   $ for object in rolebindings serviceaccounts secrets imagestreamtags cm rolebindingrestrictions limitranges resourcequotas pvc templates cronjobs statefulsets hpa deployments replicasets poddisruptionbudget endpoints
   do
     oc get -o yaml --export $object > $object.yaml
   done

5. Verify that all of the generated files are not empty, and that all of them have the expected content.

Procedure

1. Check the current resource requirements set for backend-cron with the following command:

   $ oc get dc backend-cron -o json | jq .spec.template.spec.containers[0].resources

   If the output is empty or null it means no resource requirements are set.

2. To increase the current backend-cron resource requirements, run the following command:

   $ oc patch dc backend-cron --patch '{"spec":{"template":{"spec":{"containers":[{"name":"backend-cron","resources":{"limits":{"memory":"500Mi", "cpu": "500m"}, "requests":{"memory":"100Mi", "cpu": "100m"}}}]}}}}'

   This command triggers a redeployment of backend-cron. Wait until it is redeployed, its corresponding new pods are ready, and the previous pods are terminated.