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    Collect Swimlane Platform logs

    Supported in:

    This document explains how to ingest Swimlane Platform logs to Google Security Operations using Google Cloud Storage. Swimlane Platform is a security orchestration, automation, and response (SOAR) platform that provides audit logging capabilities for tracking user activities, configuration changes, and system events across accounts and tenants.

    Before you begin

    Ensure that you have the following prerequisites:

    • A Google SecOps instance
    • A GCP project with Cloud Storage API 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
    • Privileged access to Swimlane Platform with Account Admin permissions to access audit logs
    • Swimlane Platform instance URL and account credentials

    Collect Swimlane Platform credentials

    Get Swimlane Platform instance URL

    1. Sign in to your Swimlane Platforminstance.
    2. Note your instance URL from the browser address bar.
      • Format: https://<region>.swimlane.app (for example, https://us.swimlane.app or https://eu.swimlane.app )
      • Example: If you access Swimlane at https://us.swimlane.app/workspace , your base URL is https://us.swimlane.app

    Create Personal Access Token

    1. Sign in to the Swimlane Platformas an Account Admin.
    2. Go to Profile Options.
    3. Click Profileto open the profile editor.
    4. Navigate to the Personal Access Tokensection.
    5. Click Generate tokento create a new Personal Access Token.
    6. Copy the token immediately and store it securely (it won't be shown again).

    Contact your Swimlane administrator if you don't know your Account ID. The Account ID is required for the Audit Log API path.

    Record the following details for the integration:

    • Personal Access Token (PAT): Used in the Private-Token header for API calls.
    • Account ID: Required for the Audit Log API path /api/public/audit/account/{ACCOUNT_ID}/auditlogs .
    • Base URL: Your Swimlane domain (for example, https://eu.swimlane.app , https://us.swimlane.app ).

    Verify permissions

    To verify your account has the required permissions to access audit logs:

    1. Sign in to Swimlane Platform.
    2. Confirm you have Account Admin access.

    3. Contact your Swimlane administrator if you cannot access audit log features.

    Test API access

    • Before proceeding with the integration, verify your API credentials work correctly:

        # Replace with your actual credentials 
 SWIMLANE_BASE_URL 
 = 
 "https://<region>.swimlane.app" 
 SWIMLANE_ACCOUNT_ID 
 = 
 "<your-account-id>" 
 SWIMLANE_PAT_TOKEN 
 = 
 "<your-personal-access-token>" 
 # Test API access 
curl  
-v  
-X  
GET  
 " 
 ${ 
 SWIMLANE_BASE_URL 
 } 
 /api/public/audit/account/ 
 ${ 
 SWIMLANE_ACCOUNT_ID 
 } 
 /auditlogs?pageNumber=1&pageSize=10" 
  
 \ 
  
-H  
 "Private-Token: 
 ${ 
 SWIMLANE_PAT_TOKEN 
 } 
 " 
  
 \ 
  
-H  
 "Accept: application/json"

    Expected response: HTTP 200 with JSON containing audit logs.

    If you receive errors:

    • HTTP 401: Verify your Personal Access Token is correct
    • HTTP 403: Verify your account has Account Admin permissions
    • HTTP 404: Verify the Account ID and base URL are correct

    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, swimlane-audit )
      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.

    The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by Pub/Sub.

    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 swimlane-audit-collector-sa .
      • Service account description: Enter Service account for Cloud Run function to collect Swimlane Platform 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.

    These roles are required for:

    • Storage Object Admin: Write logs to GCS bucket and manage state files
    • Cloud Run Invoker: Allow Pub/Sub to invoke the function
    • Cloud Functions Invoker: Allow function invocation

    Grant IAM permissions on GCS bucket

    Grant the service account write permissions on the GCS bucket:

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

    Create Pub/Sub topic

    Create a Pub/Sub topic that Cloud Scheduler will publish to and the Cloud Run function will subscribe to.

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

    Create Cloud Run function to collect logs

    The Cloud Run function is triggered by Pub/Sub messages from Cloud Scheduler to fetch logs from Swimlane Platform API and writes 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 swimlane-audit-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 the Pub/Sub topic ( swimlane-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 the service account ( swimlane-audit-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
      		swimlane-audit GCS bucket name
      GCS_PREFIX
      		swimlane/audit/ Prefix for log files
      STATE_KEY
      		swimlane/audit/state.json State file path
      SWIMLANE_BASE_URL
      		https://us.swimlane.app Swimlane Platform base URL
      SWIMLANE_PAT_TOKEN
      		your-personal-access-token Swimlane Personal Access Token
      SWIMLANE_ACCOUNT_ID
      		your-account-id Swimlane account identifier
      SWIMLANE_TENANT_LIST
      		`` Comma-separated tenant IDs (optional, leave empty for all tenants)
      INCLUDE_ACCOUNT
      		true Include account-level logs (true/false)
      PAGE_SIZE
      		100 Records per page (max 100)
      LOOKBACK_HOURS
      		24 Initial lookback period
      TIMEOUT
      		30 API request timeout in seconds

    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 (or adjust based on expected load).

    13. Click Create.

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

    15. After the service is created, the inline code editoropens automatically.

    Add function code

    1. Enter mainin Function entry point

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

      • First file: main.py:
        import 
  
 functions_framework 
 from 
  
 google.cloud 
  
 import 
  storage 
 
 import 
  
 json 
 import 
  
 os 
 import 
  
 urllib3 
 from 
  
 datetime 
  
 import 
 datetime 
 , 
 timezone 
 , 
 timedelta 
 import 
  
 time 
 import 
  
 uuid 
 import 
  
 gzip 
 import 
  
 io 
 # Initialize HTTP client with timeouts 
 http 
 = 
 urllib3 
 . 
 PoolManager 
 ( 
 timeout 
 = 
 urllib3 
 . 
 Timeout 
 ( 
 connect 
 = 
 5.0 
 , 
 read 
 = 
 30.0 
 ), 
 retries 
 = 
 False 
 , 
 ) 
 # Initialize Storage client 
 storage_client 
 = 
  storage 
 
 . 
  Client 
 
 () 
 # Environment variables 
 GCS_BUCKET 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'GCS_BUCKET' 
 ) 
 GCS_PREFIX 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'GCS_PREFIX' 
 , 
 'swimlane/audit/' 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'STATE_KEY' 
 , 
 'swimlane/audit/state.json' 
 ) 
 SWIMLANE_BASE_URL 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SWIMLANE_BASE_URL' 
 , 
 '' 
 ) 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 SWIMLANE_PAT_TOKEN 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SWIMLANE_PAT_TOKEN' 
 ) 
 SWIMLANE_ACCOUNT_ID 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SWIMLANE_ACCOUNT_ID' 
 ) 
 SWIMLANE_TENANT_LIST 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SWIMLANE_TENANT_LIST' 
 , 
 '' 
 ) 
 INCLUDE_ACCOUNT 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'INCLUDE_ACCOUNT' 
 , 
 'true' 
 ) 
 . 
 lower 
 () 
 == 
 'true' 
 PAGE_SIZE 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'PAGE_SIZE' 
 , 
 '100' 
 )) 
 LOOKBACK_HOURS 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'LOOKBACK_HOURS' 
 , 
 '24' 
 )) 
 TIMEOUT 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'TIMEOUT' 
 , 
 '30' 
 )) 
 def 
  
 parse_datetime 
 ( 
 value 
 : 
 str 
 ) 
 - 
> datetime 
 : 
  
 """Parse ISO datetime string to datetime object.""" 
 if 
 value 
 . 
 endswith 
 ( 
 "Z" 
 ): 
 value 
 = 
 value 
 [: 
 - 
 1 
 ] 
 + 
 "+00:00" 
 return 
 datetime 
 . 
 fromisoformat 
 ( 
 value 
 ) 
 @functions_framework 
 . 
 cloud_event 
 def 
  
 main 
 ( 
 cloud_event 
 ): 
  
 """ 
 Cloud Run function triggered by Pub/Sub to fetch Swimlane Platform logs and write to GCS. 
 Args: 
 cloud_event: CloudEvent object containing Pub/Sub message 
 """ 
 if 
 not 
 all 
 ([ 
 GCS_BUCKET 
 , 
 SWIMLANE_BASE_URL 
 , 
 SWIMLANE_PAT_TOKEN 
 , 
 SWIMLANE_ACCOUNT_ID 
 ]): 
 print 
 ( 
 'Error: Missing required environment variables (GCS_BUCKET, SWIMLANE_BASE_URL, SWIMLANE_PAT_TOKEN, SWIMLANE_ACCOUNT_ID)' 
 ) 
 return 
 try 
 : 
 # Get GCS bucket 
 bucket 
 = 
 storage_client 
 . 
  bucket 
 
 ( 
 GCS_BUCKET 
 ) 
 # Load state 
 state 
 = 
 load_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 ) 
 # Determine time window 
 now 
 = 
 datetime 
 . 
 now 
 ( 
 timezone 
 . 
 utc 
 ) 
 last_time 
 = 
 None 
 if 
 isinstance 
 ( 
 state 
 , 
 dict 
 ) 
 and 
  state 
 
 . 
 get 
 ( 
 "last_event_time" 
 ): 
 try 
 : 
 last_time 
 = 
 parse_datetime 
 ( 
 state 
 [ 
 "last_event_time" 
 ]) 
 # Overlap by 2 minutes to catch any delayed events 
 last_time 
 = 
 last_time 
 - 
 timedelta 
 ( 
 minutes 
 = 
 2 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Warning: Could not parse last_event_time: 
 { 
 e 
 } 
 " 
 ) 
 if 
 last_time 
 is 
 None 
 : 
 last_time 
 = 
 now 
 - 
 timedelta 
 ( 
 hours 
 = 
 LOOKBACK_HOURS 
 ) 
 print 
 ( 
 f 
 "Fetching logs from 
 { 
 last_time 
 . 
 isoformat 
 () 
 } 
 to 
 { 
 now 
 . 
 isoformat 
 () 
 } 
 " 
 ) 
 # Fetch logs 
 records 
 , 
 newest_event_time 
 = 
 fetch_logs 
 ( 
 base_url 
 = 
 SWIMLANE_BASE_URL 
 , 
 pat_token 
 = 
 SWIMLANE_PAT_TOKEN 
 , 
 account_id 
 = 
 SWIMLANE_ACCOUNT_ID 
 , 
 tenant_list 
 = 
 SWIMLANE_TENANT_LIST 
 , 
 include_account 
 = 
 INCLUDE_ACCOUNT 
 , 
 start_time 
 = 
 last_time 
 , 
 end_time 
 = 
 now 
 , 
 page_size 
 = 
 PAGE_SIZE 
 , 
 ) 
 if 
 not 
 records 
 : 
 print 
 ( 
 "No new log records found." 
 ) 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 now 
 . 
 isoformat 
 ()) 
 return 
 # Write to GCS as gzipped NDJSON 
 timestamp 
 = 
 now 
 . 
 strftime 
 ( 
 '%Y%m 
 %d 
 _%H%M%S' 
 ) 
 object_key 
 = 
 f 
 " 
 { 
 GCS_PREFIX 
 }{ 
 now 
 : 
 %Y/%m/%d 
 } 
 /swimlane-audit- 
 { 
 uuid 
 . 
 uuid4 
 () 
 } 
 .json.gz" 
 buf 
 = 
 io 
 . 
 BytesIO 
 () 
 with 
 gzip 
 . 
 GzipFile 
 ( 
 fileobj 
 = 
 buf 
 , 
 mode 
 = 
 'w' 
 ) 
 as 
 gz 
 : 
 for 
 record 
 in 
 records 
 : 
 gz 
 . 
 write 
 (( 
 json 
 . 
 dumps 
 ( 
 record 
 , 
 ensure_ascii 
 = 
 False 
 ) 
 + 
 ' 
 \n 
 ' 
 ) 
 . 
 encode 
 ()) 
 buf 
 . 
 seek 
 ( 
 0 
 ) 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 object_key 
 ) 
 blob 
 . 
  upload_from_file 
 
 ( 
 buf 
 , 
 content_type 
 = 
 'application/gzip' 
 ) 
 print 
 ( 
 f 
 "Wrote 
 { 
 len 
 ( 
 records 
 ) 
 } 
 records to gs:// 
 { 
 GCS_BUCKET 
 } 
 / 
 { 
 object_key 
 } 
 " 
 ) 
 # Update state with newest event time 
 if 
 newest_event_time 
 : 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 newest_event_time 
 ) 
 else 
 : 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 now 
 . 
 isoformat 
 ()) 
 print 
 ( 
 f 
 "Successfully processed 
 { 
 len 
 ( 
 records 
 ) 
 } 
 records" 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 'Error processing logs: 
 { 
 str 
 ( 
 e 
 ) 
 } 
 ' 
 ) 
 raise 
 def 
  
 load_state 
 ( 
 bucket 
 , 
 key 
 ): 
  
 """Load state from GCS.""" 
 try 
 : 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 key 
 ) 
 if 
 blob 
 . 
 exists 
 (): 
 state_data 
 = 
 blob 
 . 
  download_as_text 
 
 () 
 return 
 json 
 . 
 loads 
 ( 
 state_data 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Warning: Could not load state: 
 { 
 e 
 } 
 " 
 ) 
 return 
 {} 
 def 
  
 save_state 
 ( 
 bucket 
 , 
 key 
 , 
 last_event_time_iso 
 : 
 str 
 ): 
  
 """Save the last event timestamp to GCS state file.""" 
 try 
 : 
 state 
 = 
 { 
 'last_event_time' 
 : 
 last_event_time_iso 
 , 
 'updated_at' 
 : 
 datetime 
 . 
 now 
 ( 
 timezone 
 . 
 utc 
 ) 
 . 
 isoformat 
 () 
 + 
 'Z' 
 } 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 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 
 } 
 " 
 ) 
 def 
  
 fetch_logs 
 ( 
 base_url 
 : 
 str 
 , 
 pat_token 
 : 
 str 
 , 
 account_id 
 : 
 str 
 , 
 tenant_list 
 : 
 str 
 , 
 include_account 
 : 
 bool 
 , 
 start_time 
 : 
 datetime 
 , 
 end_time 
 : 
 datetime 
 , 
 page_size 
 : 
 int 
 ): 
  
 """ 
 Fetch logs from Swimlane Platform API with pagination and rate limiting. 
 Args: 
 base_url: Swimlane Platform base URL 
 pat_token: Personal Access Token 
 account_id: Swimlane account identifier 
 tenant_list: Comma-separated tenant IDs (optional) 
 include_account: Include account-level logs 
 start_time: Start time for log query 
 end_time: End time for log query 
 page_size: Number of records per page (max 100) 
 Returns: 
 Tuple of (records list, newest_event_time ISO string) 
 """ 
 endpoint 
 = 
 f 
 " 
 { 
 base_url 
 } 
 /api/public/audit/account/ 
 { 
 account_id 
 } 
 /auditlogs" 
 headers 
 = 
 { 
 'Private-Token' 
 : 
 pat_token 
 , 
 'Accept' 
 : 
 'application/json' 
 , 
 'Content-Type' 
 : 
 'application/json' 
 , 
 'User-Agent' 
 : 
 'GoogleSecOps-SwimlaneCollector/1.0' 
 } 
 records 
 = 
 [] 
 newest_time 
 = 
 None 
 page_num 
 = 
 1 
 backoff 
 = 
 1.0 
 while 
 True 
 : 
 params 
 = 
 [] 
 params 
 . 
 append 
 ( 
 f 
 "pageNumber= 
 { 
 page_num 
 } 
 " 
 ) 
 params 
 . 
 append 
 ( 
 f 
 "pageSize= 
 { 
 min 
 ( 
 page_size 
 , 
  
 100 
 ) 
 } 
 " 
 ) 
 params 
 . 
 append 
 ( 
 f 
 "fromdate= 
 { 
 start_time 
 . 
 isoformat 
 () 
 } 
 " 
 ) 
 params 
 . 
 append 
 ( 
 f 
 "todate= 
 { 
 end_time 
 . 
 isoformat 
 () 
 } 
 " 
 ) 
 if 
 tenant_list 
 : 
 params 
 . 
 append 
 ( 
 f 
 "tenantList= 
 { 
 tenant_list 
 } 
 " 
 ) 
 params 
 . 
 append 
 ( 
 f 
 "includeAccount= 
 { 
 'true' 
  
 if 
  
 include_account 
  
 else 
  
 'false' 
 } 
 " 
 ) 
 url 
 = 
 f 
 " 
 { 
 endpoint 
 } 
 ? 
 { 
 '&' 
 . 
 join 
 ( 
 params 
 ) 
 } 
 " 
 try 
 : 
 response 
 = 
 http 
 . 
 request 
 ( 
 'GET' 
 , 
 url 
 , 
 headers 
 = 
 headers 
 , 
 timeout 
 = 
 TIMEOUT 
 ) 
 # Handle rate limiting with exponential backoff 
 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 
 == 
 401 
 : 
 print 
 ( 
 f 
 "Authentication failed (401). Verify SWIMLANE_PAT_TOKEN is correct." 
 ) 
 return 
 [], 
 None 
 if 
 response 
 . 
 status 
 == 
 403 
 : 
 print 
 ( 
 f 
 "Access forbidden (403). Verify account has Account Admin permissions to access audit logs." 
 ) 
 return 
 [], 
 None 
 if 
 response 
 . 
 status 
 == 
 400 
 : 
 print 
 ( 
 f 
 "Bad request (400). Verify account_id and query parameters are correct." 
 ) 
 response_text 
 = 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 ) 
 print 
 ( 
 f 
 "Response body: 
 { 
 response_text 
 } 
 " 
 ) 
 return 
 [], 
 None 
 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 
 ( 
 'auditlogs' 
 , 
 []) 
 if 
 not 
 page_results 
 : 
 print 
 ( 
 f 
 "No more results (empty page)" 
 ) 
 break 
 print 
 ( 
 f 
 "Page 
 { 
 page_num 
 } 
 : Retrieved 
 { 
 len 
 ( 
 page_results 
 ) 
 } 
 events" 
 ) 
 records 
 . 
 extend 
 ( 
 page_results 
 ) 
 # Track newest event time 
 for 
 event 
 in 
 page_results 
 : 
 try 
 : 
 event_time 
 = 
 event 
 . 
 get 
 ( 
 'eventTime' 
 ) 
 or 
 event 
 . 
 get 
 ( 
 'EventTime' 
 ) 
 if 
 event_time 
 : 
 if 
 newest_time 
 is 
 None 
 or 
 parse_datetime 
 ( 
 event_time 
 ) 
> parse_datetime 
 ( 
 newest_time 
 ): 
 newest_time 
 = 
 event_time 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Warning: Could not parse event time: 
 { 
 e 
 } 
 " 
 ) 
 # Check for more results 
 has_next 
 = 
 data 
 . 
 get 
 ( 
 'next' 
 ) 
 total_count 
 = 
 data 
 . 
 get 
 ( 
 'totalCount' 
 , 
 0 
 ) 
 if 
 not 
 has_next 
 : 
 print 
 ( 
 f 
 "Reached last page (no next link)" 
 ) 
 break 
 # Check if we've hit the 10,000 log limit 
 if 
 total_count 
> 10000 
 and 
 len 
 ( 
 records 
 ) 
> = 
 10000 
 : 
 print 
 ( 
 f 
 "Warning: Reached Swimlane API limit of 10,000 logs. Consider narrowing the time range." 
 ) 
 break 
 page_num 
 += 
 1 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Error fetching logs: 
 { 
 e 
 } 
 " 
 ) 
 return 
 [], 
 None 
 print 
 ( 
 f 
 "Retrieved 
 { 
 len 
 ( 
 records 
 ) 
 } 
 total records from 
 { 
 page_num 
 } 
 pages" 
 ) 
 return 
 records 
 , 
 newest_time
      • Second file: 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 publishes 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 swimlane-audit-schedule-15min
      Region Select same region as Cloud Run function
      Frequency */15 * * * * (every 15 minutes)
      Timezone Select timezone (UTC recommended)
      Target type Pub/Sub
      Topic Select the Pub/Sub topic ( swimlane-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 * * * * Standard (recommended)
      Every hour
      		 0 * * * * Medium volume
      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.
    2. Click Force runto trigger the job manually.
    3. Wait a few seconds.
    4. Go to Cloud Run > Services.
    5. Click on your function name ( swimlane-audit-collector ).
    6. Click the Logstab.

    7. Verify the function executed successfully. Look for the following:

       Fetching logs from YYYY-MM-DDTHH:MM:SS+00:00 to YYYY-MM-DDTHH:MM:SS+00:00
Page 1: Retrieved X events
Wrote X records to gs://bucket-name/swimlane/audit/YYYY/MM/DD/swimlane-audit-UUID.json.gz
Successfully processed X records

    8. Go to Cloud Storage > Buckets.

    9. Click your bucket name.

    10. Navigate to the prefix folder ( swimlane/audit/ ).

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

    If you see errors in the logs:

    • HTTP 401: Check SWIMLANE_PAT_TOKEN in environment variables and verify the Personal Access Token is correct
    • HTTP 403: Verify account has Account Admin permissions to access audit logs
    • HTTP 400: Verify SWIMLANE_ACCOUNT_ID is correct and query parameters are valid
    • HTTP 404: Verify SWIMLANE_BASE_URL and API endpoint path are correct
    • HTTP 429: Rate limiting - function will automatically retry with backoff
    • Missing environment variables: Check all required variables are set (GCS_BUCKET, SWIMLANE_BASE_URL, SWIMLANE_PAT_TOKEN, SWIMLANE_ACCOUNT_ID)
    • Connection errors: Verify network connectivity to Swimlane Platform and firewall rules
    • 10,000 log limit warning: Reduce LOOKBACK_HOURS or increase Cloud Scheduler frequency to stay within Swimlane's API limit

    Google SecOps uses a unique service account to read data from your GCS bucket. You must grant this service account access to your bucket.

    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, Swimlane Platform logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select Swimlane Platformas the Log type.

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

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

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

    The Google SecOps service account needs Storage Object Viewerrole on your GCS bucket.

    1. Go to Cloud Storage > Buckets.
    2. Click your bucket name.
    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.

    Configure a feed in Google SecOps to ingest Swimlane Platform logs

    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, Swimlane Platform logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select Swimlane Platformas the Log type.
    7. Click Next.

    8. Specify values for the following input parameters:

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

         gs://swimlane-audit/swimlane/audit/

        • Replace:

          • swimlane-audit : Your GCS bucket name.
          • swimlane/audit/ : Prefix/folder path where logs are stored.

      • 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.

    9. Click Next.

    10. Review your new feed configuration in the Finalizescreen, and then click Submit.

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

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