Please, answer some short questions which should help us to understand your problem / question better?

• Which image of the operator are you using? --> registry.opensource.zalan.do/acid/postgres-operator:v1.8.2
• **Where do you run it - cloud or metal? --> Bare Metal K8s
• Are you running Postgres Operator in production? --> yes
• Type of issue? --> question

Hello,

when following the setup according to https://github.com/zalando/postgres-operator/blob/master/docs/administrator.md#azure-setup

apiVersion: v1
kind: ConfigMap
metadata:
  name: pod-env-overrides
  namespace: postgres-operator-system
data:
  # Any env variable used by spilo can be added
  USE_WALG_BACKUP: "true"
  USE_WALG_RESTORE: "true"
  CLONE_USE_WALG_RESTORE: "true"
  WALG_AZ_PREFIX: "azure://container-name/$(SCOPE)/$(PGVERSION)" # Enables Azure Backups (SCOPE = Cluster name) (PGVERSION = Postgres version)

this all really works fine thus far. However :) when we were using S3 previously, we got a better "path" name for the storage location of the WAL segments, like so:

• template WALE_S3_PREFIX=$WAL_S3_BUCKET/spilo/{WAL_BUCKET_SCOPE_PREFIX}{SCOPE}{WAL_BUCKET_SCOPE_SUFFIX}/wal/{PGVERSION}
• example: s3://postgresql/spilo/mycluster-postgres/6e6599d0-81e1-4a63-8b28-f96f59160096/wal/13

IMHO, this is a much better storage location as it does allow to simply identify from what particular cluster those WAL segments came from. I think it would also allow to have clusters with the same name in different k8s namespaces. Therefore, I set out to try to replicate this pattern using Azure blob, but no dice.

I found this WALE_S3_PREFIX seems to actually be created by spilo at https://github.com/zalando/spilo/blob/a86778bd601c4f6de98db9d207a8c1e6af31c984/postgres-appliance/scripts/configure_spilo.py#L892

    prefix_env_name = write_envdir_names[0]
    store_type = prefix_env_name[5:].split('_')[0]
    if not wale.get(prefix_env_name):  # WALE_*_PREFIX is not defined in the environment
        bucket_path = '/spilo/{WAL_BUCKET_SCOPE_PREFIX}{SCOPE}{WAL_BUCKET_SCOPE_SUFFIX}/wal/{PGVERSION}'.format(**wale)
        prefix_template = '{0}://{{WAL_{1}_BUCKET}}{2}'.format(store_type.lower(), store_type, bucket_path)
        wale[prefix_env_name] = prefix_template.format(**wale)
    # Set WALG_*_PREFIX for future compatibility
    if store_type in ('S3', 'GS') and not wale.get(write_envdir_names[1]):
        wale[write_envdir_names[1]] = wale[prefix_env_name]

What I did not find was how / where WALG_AZ_PREFIX: "azure://container-name/$(SCOPE)/$(PGVERSION)" is actually been interpolated. It does not appear to happen in spilo, nor in wal-g; that pretty much leaves the operator?

• q1: can someone point me to where WALG_AZ_PREFIX is interpolated, so I can see if there is a chance to include e.g. $(WAL_BUCKET_SCOPE_SUFFIX)
• q2: is it even a good idea to include the cluster uid (WAL_BUCKET_SCOPE_SUFFIX) in this path in case of Azure? both, s3 and gs talk about buckets, but I think this is not a thing in Azure blob

Many thanks in advance!