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    Collect NetApp Console (formerly BlueXP) audit logs

    Supported in:

    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.

    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 Accountdrop-down at the top of the page.
    4. Click Manage Accountfor the selected account.

    5. In the Overviewsection, copy the Account IDvalue.

    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 authenticationunchecked to use client secret authentication.

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

    8. For Category, select Organization.

    9. For Role, select Organization viewer.

    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
    1. Download or copy both the Client IDand Client Secretto 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 viewerrole.
    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.

    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 projectsection, 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 Permissionstab.
    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 Configuresection, 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 3.12or 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 Authenticationsection:

      1. Select Require authentication.
      2. Check Identity and Access Management (IAM).

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

    8. Go to the Securitytab:

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

    9. Go to the Containerstab:

      1. Click Variables & Secrets.
      2. Click + Add variablefor 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 & Secretssection, scroll down to Requests:

      • Request timeout: Enter 600 seconds (10 minutes)

    11. Go to the Settingstab:

      • In the Resourcessection:
        • Memory: Select 512 MiBor higher
        • CPU: Select 1

    12. In the Revision scalingsection:

      • 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 editorwill open automatically.

    Add function code

    1. Enter mainin the Entry pointfield.

    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 Deployto save and deploy the function.

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

    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 Schedulerconsole, find your job ( netapp-bluexp-collector-hourly ).
    2. Click Force runto trigger the job manually.
    3. Wait a few seconds.
    4. Go to Cloud Run > Services.
    5. Click on netapp-bluexp-collector .
    6. Click the Logstab.

    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 viewerrole 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
    1. Go to SIEM Settings > Feeds.
    2. Click Add New Feed.
    3. Click Configure a single feed.
    4. In the Feed namefield, enter a name for the feed (for example, NetApp Console Audit Logs ).
    5. Select Google Cloud Storage V2as 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:

       chronicle-12345678@chronicle-gcp-prod.iam.gserviceaccount.com

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

    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/

      • 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.

      • 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 Finalizescreen, and then click Submit.

    1. Go to Cloud Storage > Buckets.
    2. Click on netapp-bluexp-audit-logs .
    3. Go to the Permissionstab.
    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.

    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

    Need more help? Get answers from Community members and Google SecOps professionals.

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