Collect NetApp Console (formerly BlueXP) audit logs

Supported in:

Google secops SIEM

Note: This feature is covered by Pre-GA Offerings Terms of the Google Security Operations Service Specific Terms. Pre-GA features might have limited support, and changes to pre-GA features might not be compatible with other pre-GA versions. For more information, see the Google SecOps Technical Support Service guidelines and the Google SecOps Service Specific Terms.

This document explains how to ingest NetApp Console (formerly BlueXP) audit logs to Google Security Operations using Google Cloud Storage V2.

NetApp Console is a unified control plane for managing hybrid multi-cloud storage and data services across on-premises and cloud environments. The Audit service records operations performed by Console services, including originating IP addresses, workspaces, Console agents used, and other telemetry data useful for forensic analysis and compliance requirements.

Before you begin

Ensure that you have the following prerequisites:

• A Google SecOps instance
• A GCP project with Cloud Storage, Cloud Run, Pub/Sub, and Cloud Scheduler APIs enabled
• Permissions to create and manage GCS buckets
• Permissions to manage IAM policies on GCS buckets
• Permissions to create Cloud Run services, Pub/Sub topics, and Cloud Scheduler jobs
• Administrative access to NetApp Console with permissions to create service accounts
• Your NetApp Console account ID

Configure NetApp Console API access

To enable Google SecOps to retrieve audit logs, you need to create a service account with appropriate permissions and generate API credentials.

Get your account ID

1. Navigate to the NetApp Console using a browser.
2. Sign in using your NetApp Console credentials or NetApp Support Site credentials.
3. Click the Account drop-down at the top of the page.
4. Click Manage Account for the selected account.

5. In the Overview section, copy the Account ID value.

   Note: The account ID is a unique identifier required for API calls. It appears in the format of a UUID (for example, account-AbCdEfGh).

Create a service account

1. In the NetApp Console, go to Administration > Identity and access.
2. Select Members.
3. Select Add a member.
4. For Member Type, select Service account.
5. Enter a name for the service account (for example, Google SecOps Integration).

6. Leave Use private key JWT authentication unchecked to use client secret authentication.

   Note: Client secret authentication is recommended for simplicity. Private key JWT authentication provides enhanced security but requires managing RSA key pairs or X.509 certificates.

7. In the Select an organization, folder, or project section, select your organization.

8. For Category, select Organization.

9. For Role, select Organization viewer.

   Note: The Organization viewer role provides read-only access to audit logs. This follows the principle of least privilege, as write permissions are not required for log ingestion.

10. Click Add.

Record API credentials

After creating the service account, a dialog displays your credentials:

• Client ID: Your unique client identifier (for example, TvPPs4SeM5smEElsGmdDUznljhN3YY8s)
• Client Secret: Your API secret key

Important: Copy and save the client secret immediately. The Console displays it only once and does not allow you to retrieve it later. If you lose the client secret, you must delete the service account and create a new one.

1. Download or copy both the Client ID and Client Secret to a secure location.
2. Click Close.

Verify permissions

To verify the service account has the required permissions:

1. Sign in to the NetApp Console.
2. Go to Administration > Identity and access.
3. Select Members.
4. Locate the service account you created and verify it has the Organization viewer role.
5. If the role is not assigned, click the service account name and update the role to Organization viewer.

Test API access

• Test your credentials before proceeding with the integration:

  # Replace with your actual credentials
  CLIENT_ID="your-client-id"
  CLIENT_SECRET="your-client-secret"
  ACCOUNT_ID="your-account-id"
  
  # Obtain access token
  TOKEN=$(curl -s -X POST "https://netapp-cloud-account.auth0.com/oauth/token" \
      -H "Content-Type: application/json" \
      -d '{
          "grant_type": "client_credentials",
          "client_id": "'"${CLIENT_ID}"'",
          "client_secret": "'"${CLIENT_SECRET}"'",
          "audience": "https://api.cloud.netapp.com"
      }' | python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])")
  
  # Test audit API access
  curl -s -H "Authorization: Bearer ${TOKEN}" \
      "https://cloudmanager.cloud.netapp.com/audit/${ACCOUNT_ID}?offset=0" \
      | python3 -m json.tool
  

A successful response returns a JSON object containing audit records for the specified account.

Create Google Cloud Storage bucket

1. Go to the Google Cloud Console.
2. Select your project or create a new one.
3. In the navigation menu, go to Cloud Storage > Buckets.
4. Click Create bucket.

5. Provide the following configuration details:

   Setting	Value
   Name your bucket	Enter a globally unique name (for example, netapp-bluexp-audit-logs)
   Location type	Choose based on your needs (Region, Dual-region, Multi-region)
   Location	Select the location (for example, us-central1)
   Storage class	Standard (recommended for frequently accessed logs)
   Access control	Uniform (recommended)
   Protection tools	Optional: Enable object versioning or retention policy

6. Click Create.

Create service account for Cloud Run function

1. In the GCP Console, go to IAM & Admin > Service Accounts.
2. Click Create Service Account.
3. Provide the following configuration details:
   • Service account name: Enter netapp-bluexp-collector-sa
   • Service account description: Enter Service account for Cloud Run function to collect NetApp Console audit logs
4. Click Create and Continue.
5. In the Grant this service account access to project section, add the following roles:
   1. Click Select a role.
   2. Search for and select Storage Object Admin.
   3. Click + Add another role.
   4. Search for and select Cloud Run Invoker.
   5. Click + Add another role.
   6. Search for and select Cloud Functions Invoker.
6. Click Continue.
7. Click Done.

Grant IAM permissions on GCS bucket

1. Go to Cloud Storage > Buckets.
2. Click on your bucket name (netapp-bluexp-audit-logs).
3. Go to the Permissions tab.
4. Click Grant access.
5. Provide the following configuration details:
   • Add principals: Enter the service account email (netapp-bluexp-collector-sa@PROJECT_ID.iam.gserviceaccount.com)
   • Assign roles: Select Storage Object Admin
6. Click Save.

Create Pub/Sub topic

1. In the GCP Console, go to Pub/Sub > Topics.
2. Click Create topic.
3. Provide the following configuration details:
   • Topic ID: Enter netapp-bluexp-audit-trigger
   • Leave other settings as default
4. Click Create.

Create Cloud Run function to collect logs

The Cloud Run function will be triggered by Pub/Sub messages from Cloud Scheduler to fetch audit logs from the NetApp Console Audit API and write them to GCS.

1. In the GCP Console, go to Cloud Run.
2. Click Create service.
3. Select Function (use an inline editor to create a function).

4. In the Configure section, provide the following configuration details:

   Setting	Value
   Service name	netapp-bluexp-collector
   Region	Select region matching your GCS bucket (for example, us-central1)
   Runtime	Select Python 3.12 or later

5. In the Trigger (optional) section:

   1. Click + Add trigger.
   2. Select Cloud Pub/Sub.
   3. In Select a Cloud Pub/Sub topic, choose netapp-bluexp-audit-trigger.
   4. Click Save.

6. In the Authentication section:

   1. Select Require authentication.
   2. Check Identity and Access Management (IAM).
   Note: Pub/Sub will automatically handle authentication when invoking the function.

7. Scroll down and expand Containers, Networking, Security.

8. Go to the Security tab:

   • Service account: Select netapp-bluexp-collector-sa

9. Go to the Containers tab:

   1. Click Variables & Secrets.
   2. Click + Add variable for each environment variable:

   Variable Name	Example Value	Description
   GCS_BUCKET	netapp-bluexp-audit-logs	GCS bucket name
   GCS_PREFIX	netapp-bluexp-audit	Prefix for log files
   STATE_KEY	netapp-bluexp-audit/state.json	State file path
   NETAPP_CLIENT_ID	your-client-id	NetApp Console service account Client ID
   NETAPP_CLIENT_SECRET	your-client-secret	NetApp Console service account Client Secret
   NETAPP_ACCOUNT_ID	account-AbCdEfGh	NetApp Console account ID
   MAX_RECORDS	5000	Max records per run
   LOOKBACK_HOURS	24	Initial lookback period

10. In the Variables & Secrets section, scroll down to Requests:

    • Request timeout: Enter 600 seconds (10 minutes)

11. Go to the Settings tab:

    • In the Resources section:
      • Memory: Select 512 MiB or higher
      • CPU: Select 1

12. In the Revision scaling section:

    • Minimum number of instances: Enter 0
    • Maximum number of instances: Enter 100

13. Click Create.

14. Wait for the service to be created (1-2 minutes).

15. After the service is created, the inline code editor will open automatically.

Add function code

1. Enter main in the Entry point field.

2. In the inline code editor, create two files:

   • main.py:

   import functions_framework
   from google.cloud import storage
   import json
   import os
   import urllib3
   from datetime import datetime, timezone, timedelta
   import time
   
   http = urllib3.PoolManager(
     timeout=urllib3.Timeout(connect=5.0, read=30.0),
     retries=False,
   )
   
   storage_client = storage.Client()
   
   GCS_BUCKET = os.environ.get('GCS_BUCKET')
   GCS_PREFIX = os.environ.get('GCS_PREFIX', 'netapp-bluexp-audit')
   STATE_KEY = os.environ.get('STATE_KEY', 'netapp-bluexp-audit/state.json')
   NETAPP_CLIENT_ID = os.environ.get('NETAPP_CLIENT_ID')
   NETAPP_CLIENT_SECRET = os.environ.get('NETAPP_CLIENT_SECRET')
   NETAPP_ACCOUNT_ID = os.environ.get('NETAPP_ACCOUNT_ID')
   MAX_RECORDS = int(os.environ.get('MAX_RECORDS', '5000'))
   LOOKBACK_HOURS = int(os.environ.get('LOOKBACK_HOURS', '24'))
   
   TOKEN_URL = 'https://netapp-cloud-account.auth0.com/oauth/token'
   API_BASE = 'https://cloudmanager.cloud.netapp.com'
   AUDIENCE = 'https://api.cloud.netapp.com'
   
   def to_unix_millis(dt):
     if dt.tzinfo is None:
       dt = dt.replace(tzinfo=timezone.utc)
     dt = dt.astimezone(timezone.utc)
     return int(dt.timestamp() * 1000)
   
   def parse_datetime(value):
     if value.endswith('Z'):
       value = value[:-1] + '+00:00'
     return datetime.fromisoformat(value)
   
   def get_access_token():
     body = json.dumps({
       'grant_type': 'client_credentials',
       'client_id': NETAPP_CLIENT_ID,
       'client_secret': NETAPP_CLIENT_SECRET,
       'audience': AUDIENCE,
     }).encode('utf-8')
   
     response = http.request(
       'POST', TOKEN_URL,
       body=body,
       headers={'Content-Type': 'application/json'}
     )
   
     if response.status != 200:
       raise Exception(
         f"Token request failed: {response.status} - "
         f"{response.data.decode('utf-8')}"
       )
   
     data = json.loads(response.data.decode('utf-8'))
     token = data.get('access_token')
     if not token:
       raise Exception('No access_token in token response')
   
     print('Successfully obtained NetApp Console access token')
     return token
   
   @functions_framework.cloud_event
   def main(cloud_event):
     if not all([GCS_BUCKET, NETAPP_CLIENT_ID, NETAPP_CLIENT_SECRET, NETAPP_ACCOUNT_ID]):
       print('Error: Missing required environment variables')
       return
   
     try:
       bucket = storage_client.bucket(GCS_BUCKET)
       state = load_state(bucket)
       now = datetime.now(timezone.utc)
   
       if isinstance(state, dict) and state.get('last_event_time'):
         try:
           last_val = state['last_event_time']
           if last_val.endswith('Z'):
             last_val = last_val[:-1] + '+00:00'
           last_time = datetime.fromisoformat(last_val)
           last_time = last_time - timedelta(minutes=2)
         except Exception as e:
           print(f'Warning: Could not parse last_event_time: {e}')
           last_time = now - timedelta(hours=LOOKBACK_HOURS)
       else:
         last_time = now - timedelta(hours=LOOKBACK_HOURS)
   
       print(f'Fetching audit logs from {last_time.isoformat()} to {now.isoformat()}')
   
       token = get_access_token()
   
       records, newest_time = fetch_audit_logs(token, last_time, now)
   
       if not records:
         print('No new audit records found.')
         save_state(bucket, now.isoformat())
         return
   
       timestamp = now.strftime('%Y%m%d_%H%M%S')
       object_key = f'{GCS_PREFIX}/netapp_bluexp_audit_{timestamp}.ndjson'
       blob = bucket.blob(object_key)
   
       ndjson = '\n'.join(
         [json.dumps(r, ensure_ascii=False, default=str) for r in records]
       ) + '\n'
       blob.upload_from_string(ndjson, content_type='application/x-ndjson')
   
       print(f'Wrote {len(records)} records to gs://{GCS_BUCKET}/{object_key}')
   
       save_state(bucket, newest_time if newest_time else now.isoformat())
   
       print(f'Successfully processed {len(records)} audit records')
   
     except Exception as e:
       print(f'Error processing audit logs: {str(e)}')
       raise
   
   def fetch_audit_logs(token, start_time, end_time):
     endpoint = f'{API_BASE}/audit/{NETAPP_ACCOUNT_ID}'
   
     headers = {
       'Authorization': f'Bearer {token}',
       'Accept': 'application/json',
       'User-Agent': 'GoogleSecOps-NetAppBlueXPCollector/1.0',
     }
   
     start_millis = to_unix_millis(start_time)
     end_millis = to_unix_millis(end_time)
   
     records = []
     newest_time = None
     offset = 0
     page_num = 0
     backoff = 1.0
   
     while True:
       page_num += 1
   
       if len(records) >= MAX_RECORDS:
         print(f'Reached max_records limit ({MAX_RECORDS})')
         break
   
       url = (
         f'{endpoint}'
         f'?fromLastModified={start_millis}'
         f'&toLastModified={end_millis}'
         f'&offset={offset}'
       )
   
       try:
         response = http.request('GET', url, headers=headers)
   
         if response.status == 429:
           retry_after = int(response.headers.get('Retry-After', str(int(backoff))))
           print(f'Rate limited (429). Retrying after {retry_after}s...')
           time.sleep(retry_after)
           backoff = min(backoff * 2, 30.0)
           continue
   
         backoff = 1.0
   
         if response.status != 200:
           print(f'HTTP Error: {response.status}')
           response_text = response.data.decode('utf-8')
           print(f'Response body: {response_text}')
           return [], None
   
         data = json.loads(response.data.decode('utf-8'))
   
         page_results = data.get('auditEntries', [])
   
         if not page_results:
           print('No more results (empty page)')
           break
   
         print(f'Page {page_num}: Retrieved {len(page_results)} audit records')
         records.extend(page_results)
   
         for entry in page_results:
           try:
             last_modified = entry.get('lastModified')
             if last_modified:
               entry_dt = datetime.fromtimestamp(
                 last_modified / 1000, tz=timezone.utc
               )
               entry_time = entry_dt.isoformat()
               if newest_time is None or parse_datetime(entry_time) > parse_datetime(newest_time):
                 newest_time = entry_time
           except Exception as e:
             print(f'Warning: Could not parse entry time: {e}')
   
         count = data.get('count', len(page_results))
         if count < 100:
           print(f'Reached last page (count={count})')
           break
   
         offset += count
   
       except Exception as e:
         print(f'Error fetching audit logs: {e}')
         return [], None
   
     print(f'Retrieved {len(records)} total audit records from {page_num} pages')
     return records, newest_time
   
   def load_state(bucket):
     try:
       blob = bucket.blob(STATE_KEY)
       if blob.exists():
         return json.loads(blob.download_as_text())
     except Exception as e:
       print(f'Warning: Could not load state: {e}')
     return {}
   
   def save_state(bucket, last_event_time_iso):
     try:
       state = {
         'last_event_time': last_event_time_iso,
         'last_run': datetime.now(timezone.utc).isoformat(),
       }
       blob = bucket.blob(STATE_KEY)
       blob.upload_from_string(
         json.dumps(state, indent=2),
         content_type='application/json'
       )
       print(f'Saved state: last_event_time={last_event_time_iso}')
     except Exception as e:
       print(f'Warning: Could not save state: {e}')
   

   • requirements.txt:

   functions-framework==3.*
   google-cloud-storage==2.*
   urllib3>=2.0.0
   

3. Click Deploy to save and deploy the function.

4. Wait for deployment to complete (2-3 minutes).

   Note: The Pub/Sub trigger configuration automatically creates the necessary subscriptions and permissions.

Create Cloud Scheduler job

Cloud Scheduler will publish messages to the Pub/Sub topic at regular intervals, triggering the Cloud Run function.

1. In the GCP Console, go to Cloud Scheduler.
2. Click Create Job.

3. Provide the following configuration details:

   Setting	Value
   Name	netapp-bluexp-collector-hourly
   Region	Select same region as Cloud Run function
   Frequency	0 * * * * (every hour, on the hour)
   Timezone	Select timezone (UTC recommended)
   Target type	Pub/Sub
   Topic	Select netapp-bluexp-audit-trigger
   Message body	{} (empty JSON object)

4. Click Create.

Schedule frequency options

Choose frequency based on log volume and latency requirements:

Frequency	Cron Expression	Use Case
Every 5 minutes	*/5 * * * *	High-volume, low-latency
Every 15 minutes	*/15 * * * *	Medium volume
Every hour	0 * * * *	Standard (recommended)
Every 6 hours	0 */6 * * *	Low volume, batch processing
Daily	0 0 * * *	Historical data collection

Test the integration

1. In the Cloud Scheduler console, find your job (netapp-bluexp-collector-hourly).
2. Click Force run to trigger the job manually.
3. Wait a few seconds.
4. Go to Cloud Run > Services.
5. Click on netapp-bluexp-collector.
6. Click the Logs tab.

7. Verify the function executed successfully. Look for:

   Fetching audit logs from YYYY-MM-DDTHH:MM:SS+00:00 to YYYY-MM-DDTHH:MM:SS+00:00
   Successfully obtained NetApp Console access token
   Page 1: Retrieved X audit records
   Wrote X records to gs://netapp-bluexp-audit-logs/netapp-bluexp-audit/netapp_bluexp_audit_YYYYMMDD_HHMMSS.ndjson
   Successfully processed X audit records
   

8. Go to Cloud Storage > Buckets.

9. Click on netapp-bluexp-audit-logs.

10. Navigate to the netapp-bluexp-audit/ folder.

11. Verify that a new .ndjson file was created with the current timestamp.

If you see errors in the logs:

• HTTP 401: Verify the NETAPP_CLIENT_ID and NETAPP_CLIENT_SECRET environment variables are correct
• HTTP 403: Verify the service account has the Organization viewer role in NetApp Console
• HTTP 429: Rate limiting — the function will automatically retry with exponential backoff
• Missing environment variables: Verify all required variables are set in the Cloud Run function configuration

Retrieve the Google SecOps service account

1. Go to SIEM Settings > Feeds.
2. Click Add New Feed.
3. Click Configure a single feed.
4. In the Feed name field, enter a name for the feed (for example, NetApp Console Audit Logs).
5. Select Google Cloud Storage V2 as the Source type.
6. Select NetApp Console (formerly BlueXP) as the Log type.

7. Click Get Service Account. A unique service account email will be displayed, for example:

   [e-mail]
   

8. Copy this email address for use in the next step.

   Note: Each Google SecOps instance has a unique service account. Don't use service accounts from other documentation or examples.

9. Click Next.

10. Specify values for the following input parameters:

    • Storage bucket URL: Enter the GCS bucket URI with the prefix path:

      gs://netapp-bluexp-audit-logs/netapp-bluexp-audit/
      

    Note: Always include the trailing slash (/) at the end of the URI.

    • Source deletion option: Select the deletion option according to your preference:

      • Never: Never deletes any files after transfers (recommended for testing).
      • Delete transferred files: Deletes files after successful transfer.

      • Delete transferred files and empty directories: Deletes files and empty directories after successful transfer.

        Note: If you select a deletion option, the service account must have Storage Object Admin role instead of Storage Object Viewer. Update IAM permissions accordingly.

    • Maximum File Age: Include files modified in the last number of days (default is 180 days)

    • Asset namespace: The asset namespace

    • Ingestion labels: The label to be applied to the events from this feed

11. Click Next.

12. Review your new feed configuration in the Finalize screen, and then click Submit.

Grant IAM permissions to the Google SecOps service account

1. Go to Cloud Storage > Buckets.
2. Click on netapp-bluexp-audit-logs.
3. Go to the Permissions tab.
4. Click Grant access.
5. Provide the following configuration details:
   • Add principals: Paste the Google SecOps service account email
   • Assign roles: Select Storage Object Viewer

6. Click Save.

   Note: If you plan to use the deletion option "Delete transferred files" or "Delete transferred files and empty directories," grant Storage Object Admin role instead of Storage Object Viewer.

UDM mapping table

Log Field	UDM Mapping	Logic
endTime	additional.fields	Merged with labels from each if not empty
responseData	additional.fields
weHash	additional.fields
wePublicId	additional.fields
hasFailedRecord	additional.fields
action	additional.fields
service	additional.fields
hasRecords	additional.fields
workspaceId	additional.fields
lastModified	additional.fields
startTime	additional.fields
agentName	metadata.event_type	Set to STATUS_UPDATE if agentName not empty, else GENERIC_EVENT
agentId	metadata.product_deployment_id	Value copied directly if not empty
requestId	metadata.product_log_id	Value copied directly if not empty
network	network	Renamed directly if not empty
agentName	principal.asset.hostname	Value copied directly if not empty
fileName	principal.file.names	Merged if not empty
agentName	principal.hostname	Value copied directly if not empty
accountId	principal.resource.id	Value copied directly if not empty
resourceName	principal.resource.name	Value copied directly if not empty
accountId	principal.resource.product_object_id	Value from accountId if not empty, else from resourceId if not empty
resourceId	principal.resource.product_object_id
principalId	principal.user.userid	Value copied directly if not empty
status	security_result.action	Set to ALLOW if status =~ (?i)SUCCESS, BLOCK if in FAILURE or UNSUCCESSFUL_ATTEMPT
status	security_result.action_details	Value copied directly if not empty
target	target	Renamed directly if not empty

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