The Agent in Data Integrity Suite supports multiple services, each serving a specific role in data movement, integration, or platform operations. This table summarizes their functions relevant to the suite.
| Service Name | Description |
|---|---|
| connect-cdc | Captures change data from non-supported mainframe sources in real time. |
| connect-hub | Manages orchestration and routing of data between components. |
| cloud-applier | Applies change data to supported cloud-based targets. |
| sqdata-management | Captures and manages change data from mainframe sources like Db2z, VSAM, IMS. |
| message-adapter | Facilitates message-based communication between services. |
| log-aggregation | Collects and aggregates logs across agent services for diagnostics. |
| operator | Manages lifecycle and coordination of services within the agent. |
| mailbox | Facilitates secure internal communication or task handoff between services. |
| kafka | Manages Kafka-related messaging pipelines. |
| spark-connector | Enables use of Apache Spark for distributed data processing. |
| custom-jdbc-connector | Allows custom JDBC connector configurations for unique or unsupported sources. |
| credentials-management | Provides and manages service certificates to authenticate and secure communication. |
| trust-manager | Kubernetes component that handles TLS handshakes and validates certificates to establish trust. |
| acb-connector | The acb-connector on the agent enables efficient data integration and management within the Data Integrity Suite, supporting seamless connectivity and operational performance. |
| databricks-connector | The databricks-connector on the agent enhances data observability and data quality management within the Data Integrity Suite. |
Agent services for data integration and data quality
This section provides an overview aimed at assisting you in updating the agent that manages Agent services for data integration and data quality. To ensure that your agent services are properly configured and updated for optimal data integration, please follow the guidelines referenced below:
Update the Agent configurations when you see an Update label next to an agent's name; it means there is a new update available for that agent, which is used in data replication processes. To ensure optimal performance, consider updating as soon as possible.
The Spark connector is an essential part of Agent. It allows the Agent to easily connect and work with Spark-based services. To use the Spark connector, simply follow the steps outlined in the user guide to enhance your data handling capabilities.