Domain separation and Stream Connect

  • Release version: Xanadu
  • Updated August 1, 2024
  • 2 minutes to read
  • Summarize
    Summarized using AI
    This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.

    Summary of Domain separation and Stream Connect

    Domain separation in Stream Connect enables ServiceNow customers to logically segregate data, processes, and administrative tasks into distinct domains. This separation controls user access and visibility, allowing multiple tenants or customers to securely share a single ServiceNow instance while maintaining data isolation.

    Show full answer Show less

    The feature is supported at the standard level, ensuring that application properties and business logic are domain-aware. This allows service providers to configure tenant-specific business rules and data parameters, such as enforcing different record closure comments per tenant.

    Key Features

    • Message Replication Tables: Critical Stream Connect tables like Message Replications, Channel Replications, Message Replication Statistics, and Kafka Topic Replications are domain separated. Domains are assigned via sysdomain or determined through domainmaster references to ensure accurate domain context.
    • Topic Namespaces: Kafka topics are linked to namespaces, which in turn are linked to ServiceNow domains. This setup restricts topic visibility and interaction to users within the appropriate domains, enforced through domain visibility and ACLs.
    • Producers and Consumers: Both producers and consumers in Stream Connect are domain separated. Producers can only send data to topics visible within their domain. Consumer runtime data tables (Kafka Streams, Subscriptions, Partition Groups, Consumer Statistics, Unprocessed Messages) are all domain aware, ensuring data is processed within the correct domain context.
    • Schema Management: Tables managing schemas and schema registries for Stream Connect are domain separated. This includes multiple schema types (standalone, Confluent) and registry tables, supporting domain-specific schema governance.

    Key Outcomes

    • Enables multi-tenant deployments on a single ServiceNow instance with strict data and process isolation.
    • Allows tenant-specific configurations such as business logic and user interface behavior within Stream Connect.
    • Ensures Kafka topics, streams, and associated runtime data are securely partitioned by domain, preserving tenant privacy and compliance.
    • Supports domain-aware schema management, facilitating proper data validation and compatibility per tenant requirements.

    Domain separation is supported for Stream Connect. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data.

    Support level: Standard

    • Includes all aspects of Basic level support.
    • Application properties are domain-aware as needed.
    • Business logic: The service provider (SP) creates or modifies processes per customer. The use cases reflect proper use of the application by multiple SP customers in a single instance.
    • The instance owner must configure the minimum viable product (MVP) business logic and data parameters per tenant as expected for the specific application.

    Sample use case: An admin must be able to make comments required when a record closes for one tenant, but not for another.

    For more information on support levels, see Application support for domain separation.

    Message replication

    Records in the following Stream Connect Message Replication tables are domain separated.
    • Message Replications [sys_sc_message_replication]
    • Channel Replications [sys_sc_channel_replication]
    • Message Replication Statistics [sys_sc_channel_replication_metric]
    • Kafka Topic Replications [sys_kafka_topic_replication]

    The domain for a message replication record is specified in the record's sys_domain field.

    For channel replication and replication metrics records, the domain is determined by the domain_master attribute. The domain_master attribute uses a reference field's domain to determine the domain for the current record. A channel replication record gets its domain from the referenced message replication record. A replication metrics record gets its domain from the referenced channel replication record.

    A Kafka topic replication record has the same domain as its associated channel replication record because the Channel Replications table is a parent of the Kafka Topic Replications table.

    Topic namespaces

    You can use topic namespaces to configure which domains can access a Kafka topic on a domain-separated instance. In ServiceNow, Kafka topics are linked to a namespace. Namespaces can be linked to ServiceNow domains. When a namespace is assigned to a specific domain, all the topics created with that namespace are also assigned to the namespace's domain. Users can only see and interact with the topics they have access to, based on domain visibility and access control lists (ACLs).

    For more information, see Managing namespaces and topics in Hermes.

    Producers and consumers

    Stream Connect producers and consumers are also domain separated. For producers, you can produce data only to topics that are visible to the domain.

    For consumers, all the tables used to keep runtime data are domain separated. These tables include the following.
    • Kafka Streams [sys_kafka_stream]
    • Kafka Subscriptions [sys_kafka_subscription]
    • Kafka Subscription Partition Groups [sys_kafka_partition_group]
    • Kafka Consumer Statistics [sys_kafka_consumer_statistics]
    • Kafka Unprocessed Messages [sys_kafka_unprocessed_messages]

    Domain users can create domain-specific Kafka streams with the topics that are visible to the domain. When activating a Kafka stream, the subscription and partition groups are created within the same domain. At runtime, the domain of the partition group is set by the consumer thread so that all the data is imported to the correct domain. For more information on producers, consumers, and Kafka streams, see Using Stream Connect for Apache Kafka.

    Schema management

    Tables for schemas and schema registries are domain separated. These include the following.
    • Stream Connect Schemas [stream_connect_schema]
    • Standalone Stream Connect Schema [standalone_stream_connect_schema]
    • Confluent Stream Connect Schema [confluent_stream_connect_schema]
    • Stream Connect Schema Registry [stream_connect_schema_registry]
    • Confluent Stream Connect Schema [confluent_stream_connect_schema]
    • Standalone Stream Connect Schema [standalone_stream_connect_schema]