google.bigtable.admin.v2.BigtableInstanceAdmin.UpdateInstance
operation in GCP for Bigtable, it could potentially allow unauthorized users to modify critical configuration settings of a Bigtable instance. This could lead to unauthorized access to sensitive data stored in the instance, compromising the confidentiality and integrity of the data.
UpdateInstance
operation, they may be able to modify the instance’s access controls, allowing them to read or write data that they should not have access to. This could result in data leakage and violation of data privacy regulations.
UpdateInstance
operation, they could modify critical configuration settings, such as network settings or resource allocation, leading to service disruptions or performance degradation. This could impact the availability and reliability of the Bigtable service, affecting business operations and customer experience.
[SINK_NAME]
with a name for the sink, [PROJECT_ID]
with your GCP project ID, and [INSTANCE_ID]
with the ID of your Bigtable instance.[PERIMETER_NAME]
with a name for the perimeter.[INSTANCE_ID]
with the ID of your Bigtable instance and [CLUSTER_ID]
with the ID of your Bigtable cluster.google-cloud-bigtable
library in Python to create a new Bigtable instance.vpc_service_controls
parameter to True
while creating the instance.google-cloud-iam
library in Python to manage IAM roles and permissions for Bigtable.roles/bigtable.admin
role to administrators and roles/bigtable.reader
role to read-only users.google-cloud-logging
library in Python to enable audit logging for Bigtable.