s:

🔒 password

Resource types:

🐳 docker-registrySupports auto-configuration: False

Available locally: True

Available remotely: True

The ZenML Docker Service Connector allows authenticating with a Docker or OCI

container registry and managing Docker clients for the registry.

This connector provides pre-authenticated python-docker Python clients to Stack

Components that are linked to it.

No Python packages are required for this Service Connector. All prerequisites

are included in the base ZenML Python package. Docker needs to be installed on

environments where container images are built and pushed to the target container

registry.

[...]

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Please select a service connector type (kubernetes, docker, azure, aws, gcp): gcp

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║                           Available resource types                           ║

╚══════════════════════════════════════════════════════════════════════════════╝

🔵 Generic GCP resource (resource type: gcp-generic)

Authentication methods: implicit, user-account, service-account, oauth2-token,

impersonation

Supports resource instances: False

Authentication methods:

🔒 implicit

🔒 user-account

🔒 service-account

🔒 oauth2-token

🔒 impersonation

This resource type allows Stack Components to use the GCP Service Connector to

connect to any GCP service or resource. When used by Stack Components, they are

provided a Python google-auth credentials object populated with a GCP OAuth 2.0

token. This credentials object can then be used to create GCP Python clients for

any particular GCP service.

This generic GCP resource type is meant to be used with Stack Components that

are not represented by other, more specific resource type, like GCS buckets,

Kubernetes clusters or Docker registries. For example, it can be used with the

Google Cloud Builder Image Builder stack component, or the Vertex AI