Elastic ServiceNow connector reference
The Elastic ServiceNow connector is a connector for ServiceNow.
This connector is written in Python using the Elastic connector framework.
View the source code for this connector (branch main, compatible with Elastic 9.0).
As of Elastic 9.0, managed connectors on Elastic Cloud Hosted are no longer available. All connectors must be self-managed.
The ServiceNow connector was introduced in Elastic version 8.9.0. This connector is available as a self-managed connector. To use this connector as a self-managed connector, satisfy all self-managed connector requirements.
To create a new ServiceNow connector:
- In the Kibana UI, navigate to the Search → Content → Connectors page from the main menu, or use the global search field.
- Follow the instructions to create a new ServiceNow self-managed connector.
You can use the Elasticsearch Create connector API to create a new self-managed ServiceNow self-managed connector.
For example:
PUT _connector/my-servicenow-connector
{
"index_name": "my-elasticsearch-index",
"name": "Content synced from ServiceNow",
"service_type": "servicenow"
}
You’ll also need to create an API key for the connector to use.
The user needs the cluster privileges manage_api_key
, manage_connector
and write_connector_secrets
to generate API keys programmatically.
To create an API key for the connector:
Run the following command, replacing values where indicated. Note the
encoded
return values from the response:POST /_security/api_key
{ "name": "connector_name-connector-api-key", "role_descriptors": { "connector_name-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "index_name", ".search-acl-filter-index_name", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": false } ] } } }
Update your
config.yml
file with the API keyencoded
value.
Refer to the Elasticsearch API documentation for details of all available Connector APIs.
To use this connector as a self-managed connector, use the Customized connector workflow.
For additional operations, see Usage.
The ServiceNow connector is compatible with the following versions of ServiceNow:
- ServiceNow "Tokyo"
- ServiceNow "San Diego"
- ServiceNow "Rome"
- ServiceNow "Utah"
- ServiceNow "Vancouver"
- ServiceNow "Washington"
- ServiceNow "Xanadu"
The following configuration fields are required to set up the connector:
url
- The host url of the ServiceNow instance.
username
- The username of the account for ServiceNow.
password
- The password of the account used for ServiceNow.
services
-
Comma-separated list of services to fetch data from ServiceNow. If the value is
*
, the connector will fetch data from the list of basic services provided by ServiceNow:If you have configured a custom service, the
*
value will not fetch data from the basic services above by default. In this case you’ll need to mention these service names explicitly.Default value is
*
. Examples:User, Incident, Requested Item, Knowledge, Change request
*
retry_count
- The number of retry attempts after a failed request to ServiceNow. Default value is
3
. concurrent_downloads
- The number of concurrent downloads for fetching the attachment content. This speeds up the content extraction of attachments. Defaults to
10
. use_text_extraction_service
- Requires a separate deployment of the Elastic Text Extraction Service. Requires that ingest pipeline settings disable text extraction. Default value is
False
. use_document_level_security
- Restrict access to documents based on a user’s permissions. Refer to Document level security for more details.
All services and records the user has access to will be indexed according to the configurations provided. The connector syncs the following ServiceNow object types:
- Records
- Attachments
- Content from files bigger than 10 MB won’t be extracted. Use the self-managed local extraction service to handle larger binary files.
- Permissions are not synced by default. You must enable document level security. Otherwise, all documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.
Full syncs are supported by default for all connectors.
This connector also supports incremental syncs.
Document level security (DLS) ensures identities and permissions set in ServiceNow are maintained in Elasticsearch. This enables you to restrict and personalize read-access users and groups have to documents in this index. Access control syncs ensure this metadata is kept up to date in your Elasticsearch documents.
The ServiceNow connector supports roles for access control lists (ACLs) to enable document level security in Elasticsearch. For default services, connectors use the following roles to find users who have access to documents.
Service | Roles |
---|---|
User | admin |
Incident | admin , sn_incident_read , ml_report_user , ml_admin , itil |
Requested Item | admin , sn_request_read , asset , atf_test_designer , atf_test_admin |
Knowledge | admin , knowledge , knowledge_manager , knowledge_admin |
Change request | admin , sn_change_read , itil |
For services other than these defaults, the connector iterates over access controls with read
operations and finds the respective roles for those services.
The ServiceNow connector applies access control at the service (table) level. This means documents within a given ServiceNow table share the same access control settings. Users with permission to a table can access all documents from that table in Elasticsearch.
The ServiceNow connector does not support scripted and conditional permissions.
You can deploy the ServiceNow connector as a self-managed connector using Docker. Follow these instructions.
Step 1: Download sample configuration file
Download the sample configuration file. You can either download it manually or run the following command:
curl https://raw.githubusercontent.com/elastic/connectors/main/config.yml.example --output ~/connectors-config/config.yml
Remember to update the --output
argument value if your directory name is different, or you want to use a different config file name.
Step 2: Update the configuration file for your self-managed connector
Update the configuration file with the following settings to match your environment:
elasticsearch.host
elasticsearch.api_key
connectors
If you’re running the connector service against a Dockerized version of Elasticsearch and Kibana, your config file will look like this:
# When connecting to your cloud deployment you should edit the host value
elasticsearch.host: http://host.docker.internal:9200
elasticsearch.api_key: <ELASTICSEARCH_API_KEY>
connectors:
-
connector_id: <CONNECTOR_ID_FROM_KIBANA>
service_type: servicenow
api_key: <CONNECTOR_API_KEY_FROM_KIBANA>1
- Optional. If not provided, the connector will use the elasticsearch.api_key instead
Using the elasticsearch.api_key
is the recommended authentication method. However, you can also use elasticsearch.username
and elasticsearch.password
to authenticate with your Elasticsearch instance.
Note: You can change other default configurations by simply uncommenting specific settings in the configuration file and modifying their values.
Step 3: Run the Docker image
Run the Docker image with the Connector Service using the following command:
docker run \
-v ~/connectors-config:/config \
--network "elastic" \
--tty \
--rm \
docker.elastic.co/integrations/elastic-connectors:9.0.0 \
/app/bin/elastic-ingest \
-c /config/config.yml
Refer to DOCKER.md
in the elastic/connectors
repo for more details.
Find all available Docker images in the official registry.
We also have a quickstart self-managed option using Docker Compose, so you can spin up all required services at once: Elasticsearch, Kibana, and the connectors service. Refer to this README in the elastic/connectors
repo for more information.
Basic sync rules are identical for all connectors and are available by default.
A full sync is required for advanced sync rules to take effect.
Advanced sync rules are defined through a source-specific DSL JSON snippet.
The following sections provide examples of advanced sync rules for this connector.
Indexing document based on incident number for Incident service
[
{
"service": "Incident",
"query": "numberSTARTSWITHINC001"
}
]
Indexing document based on user activity state for User service
[
{
"service": "User",
"query": "active=False"
}
]
Indexing document based on author name for Knowledge service
[
{
"service": "Knowledge",
"query": "author.nameSTARTSWITHSystem Administrator"
}
]
The connector framework enables operators to run functional tests against a real data source. Refer to Connector testing for more details.
To perform E2E testing for the ServiceNow connector, run the following command:
$ make ftest NAME=servicenow
Generate performance reports using the following flag: PERF8=yes
. Toggle test data set size between SMALL, MEDIUM and LARGE with the argument DATA_SIZE=
. By default, it is set to MEDIUM
.
Users do not need to have a running Elasticsearch instance or a ServiceNow source to run this test. Docker Compose manages the complete setup of the development environment.
There are no known issues for this connector. Refer to Known issues for a list of known issues that impact all connectors.
See Troubleshooting.
See Security.
See Content extraction.