To remediate the misconfiguration “Cloud Monitoring Should Monitor Storage ACL Based Object Access Count” for GCP using GCP CLI, follow these steps:

1. Open the Cloud Shell in the GCP Console.

2. Run the following command to enable Cloud Storage access logs:

   gsutil logging set on gs://[BUCKET_NAME]

   Replace [BUCKET_NAME] with the name of the bucket you want to enable access logs for.

3. Run the following command to create a new bucket for the access logs:

   gsutil mb -p [PROJECT_ID] -c regional -l [REGION] gs://[BUCKET_NAME]

   Replace [PROJECT_ID] with your GCP project ID, [REGION] with the region where you want to create the bucket, and [BUCKET_NAME] with the name of the bucket you want to create.

4. Run the following command to set the logging configuration for the bucket:

   gsutil logging set on -b gs://[BUCKET_NAME] \
   -o AccessLog \
   -t '[START_TIME],[END_TIME],[METHOD],[RESOURCE],[PROTOCOL],[STATUS],[REQUESTER],[REQUEST_ID],[OBJECT_SIZE],[VERSION_ID],[BUCKET_NAME],[OBJECT_NAME],[REMOTE_IP],[SERVER_IP],[REFERER],[USER_AGENT],[VERSION_FORMAT],[ERROR_CODE],[ERROR_MESSAGE]' \
   gs://[BUCKET_NAME]
   

   Replace [BUCKET_NAME] with the name of the bucket you want to enable access logs for.

5. Verify that access logs are being written to the bucket by running the following command:

   gsutil ls -la gs://[BUCKET_NAME]/

   Replace [BUCKET_NAME] with the name of the bucket you created in step 3.

6. You can now use Cloud Monitoring to monitor the access logs and count the number of ACL-based object accesses. To do this, follow these steps:

   a. Open the Cloud Monitoring console in the GCP Console.

   b. Click on “Metrics Explorer” in the left-hand menu.

   c. In the “Find resource type and metric” search box, type “gcs_bucket_access_count”.

   d. Select the “gcs_bucket_access_count” metric from the list.

   e. In the “Filter by label” section, select the bucket you want to monitor.

   f. Click on “Add filter”.

   g. In the “Find resource type and metric” search box, type “gcs_bucket_accessed_via_acl_count”.

   h. Select the “gcs_bucket_accessed_via_acl_count” metric from the list.

   i. In the “Filter by label” section, select the bucket you want to monitor.

   j. Click on “Add filter”.

   k. Click on “Create chart” to create a chart showing the number of ACL-based object accesses for the selected bucket.

That’s it! You have now remediated the misconfiguration “Cloud Monitoring Should Monitor Storage ACL Based Object Access Count” for GCP using GCP CLI.

To remediate the misconfiguration of monitoring storage ACL based object access count in GCP using python, you can follow these steps:

1. First, you need to enable Cloud Storage API in your GCP project.

2. Next, you need to install the Google Cloud Storage Python client library by running the following command:

   pip install google-cloud-storage
   

3. Once the library is installed, you can use the following python code to monitor the storage ACL based object access count:

   from google.cloud import storage
   
   # Instantiates a client
   storage_client = storage.Client()
   
   # The name of the bucket
   bucket_name = "your-bucket-name"
   
   # The name of the object
   object_name = "your-object-name"
   
   # Get the bucket object
   bucket = storage_client.get_bucket(bucket_name)
   
   # Get the object ACL
   acl = bucket.get_blob(object_name).acl
   
   # Get the number of users with read permission
   num_users = len([e for e in acl if e.get("role") == "READER"])
   
   # Get the number of users with write permission
   num_writers = len([e for e in acl if e.get("role") == "WRITER"])
   
   # Log the access count
   print(f"Object {object_name} has been accessed by {num_users} readers and {num_writers} writers.")
   

4. You can run this code periodically to monitor the storage ACL based object access count in your GCP project. You can also modify this code to send alerts or notifications when access count exceeds a certain threshold.

By following these steps, you can remediate the misconfiguration of monitoring storage ACL based object access count in GCP using python.