Cdc

The cdc skill enables AI agents to manage Change Data Capture workflows, synchronizing data changes between databases and external systems in real time. It allows for efficient event-driven architectures by capturing updates without requiring complex polling mechanisms.

When to use it

• Building real-time analytics pipelines that react instantly to database modifications.
• Synchronizing data across microservices where consistency is critical.
• Implementing audit trails that track every change made to a dataset.
• Decoupling application logic from storage layers using event streams.

Key capabilities

• Captures insert, update, and delete events from source databases.
• Provides real-time data propagation to downstream consumers.
• Supports scalable event-driven architectures for high-throughput systems.

Example prompts

• "Set up a CDC pipeline to stream user activity logs from my PostgreSQL database to a Kafka topic."
• "Configure cdc to synchronize inventory changes between my primary store and a read-replica in real time."
• "Create an audit trail using CDC that logs all financial transaction modifications to a secure storage bucket."

Tips & gotchas

Ensure your source database supports Change Data Capture natively or via adapters, as not all systems provide this out of the box. Monitor network latency closely, as real-time synchronization can be sensitive to connection stability between the database and the agent.