A replication project consists of multiple pipelines that capture data changes from tables in your dataset. These projects operate in test or production environments, retrieving changed data and applying it to target sources.
The following actions outline how to add and manage replication projects for efficient data replication between source and target systems. Gain insights into creating new projects, modifying existing configurations, monitoring project alerts, validating configurations before activation, and troubleshooting potential issues. Each action is essential for maintaining a robust and efficient data replication process, ensuring data integrity and optimal performance throughout the pipeline.
- Add, edit and view replication project: Create new projects, modify existing ones, or view project details and configurations.
- Start and stop replication project: Initiate or terminate the data replication process as needed for management or maintenance.
- View replication project alerts: Monitor alerts related to the project for critical issues, warnings, or notifications during replication.
- Validate replication project configuration: Check the project configuration for errors and inconsistencies before activation.
- Apply configuration changes: Apply modifications to the project’s configuration to align with updated requirements.
- Manage diagnostic bundles: Create, view, or delete diagnostic bundles for troubleshooting and performance analysis.
- Debug and export replication project: Analyze issues using debugging tools and export the project’s configuration and logs for further insights.