To remediate the misconfiguration of Stackdriver Kubernetes Logging and Monitoring not being enabled on GCP using GCP CLI, follow the below steps:

1. Install and configure the Google Cloud SDK (CLI) on your local machine.

2. Open the terminal or command prompt and authenticate to your GCP account using the following command:

gcloud auth login

3. Set the default project for the CLI to the project where the Kubernetes cluster is deployed using the following command:

gcloud config set project [PROJECT_ID]

4. Enable the Stackdriver Kubernetes Logging and Monitoring API for the project using the following command:

gcloud services enable container.googleapis.com stackdriver.googleapis.com

5. Verify that the Stackdriver Kubernetes Logging and Monitoring API is enabled by running the following command:

gcloud services list --enabled

6. If the API is enabled, you should see the following services listed:

NAME                                TITLE
container.googleapis.com            Kubernetes Engine API
logging.googleapis.com              Stackdriver Logging API
monitoring.googleapis.com           Stackdriver Monitoring API
stackdriver.googleapis.com          Stackdriver API

7. Once the API is enabled, you can configure the Kubernetes cluster to send logs and metrics to Stackdriver by following the official GCP documentation:

https://cloud.google.com/kubernetes-engine/docs/how-to/logging

https://cloud.google.com/monitoring/kubernetes-engine/

To remediate the misconfiguration “Ensure Stackdriver Kubernetes Logging And Monitoring Is Enabled” for GCP using Python, you can follow these steps:

1. Install the google-cloud-monitoring and google-cloud-logging Python libraries using pip.

pip install google-cloud-monitoring google-cloud-logging

2. Create a service account with the necessary permissions to enable Stackdriver Kubernetes logging and monitoring.

3. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of the service account key file.

export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account_key.json

4. Use the google-cloud-monitoring and google-cloud-logging libraries to enable Stackdriver Kubernetes logging and monitoring.

from google.cloud.monitoring_v3 import MetricServiceClient
from google.cloud.logging_v2 import LoggingServiceV2Client
from google.cloud.logging_v2.types import LogMetric

# Enable Kubernetes API metrics
metric_client = MetricServiceClient()
project_name = f"projects/{project_id}"
metric_descriptor = metric_client.get_metric_descriptor(
    name=f"{project_name}/metricDescriptors/kubernetes.io/container/cpu/usage_time"
)
metric_descriptor.enabled = True
metric_client.update_metric_descriptor(metric_descriptor)

# Create a Stackdriver Logging metric for Kubernetes logs
logging_client = LoggingServiceV2Client()
parent = logging_client.project_path(project_id)
log_metric = LogMetric(
    name="kubernetes_log",
    description="Kubernetes logs",
    filter='resource.type="k8s_container"',
    metric_descriptor_name=f"{project_name}/metricDescriptors/logging.googleapis.com/container/log_bytes",
    value_extractor="SUM(jsonPayload.message_size)",
)
logging_client.create_log_metric(parent=parent, metric=log_metric)

Note: Replace project_id with your GCP project ID.

5. Verify that Stackdriver Kubernetes logging and monitoring is enabled by checking the Stackdriver Metrics Explorer and Logs Viewer in the GCP Console.

That’s it! You have now remediated the misconfiguration “Ensure Stackdriver Kubernetes Logging And Monitoring Is Enabled” for GCP using Python.