Yoda Response: Certainly, Avi. If I receive alerts that data is not being ingested as expected in a deployed data pipeline, here’s my approach to troubleshooting the issue:

1. **Verify the Alerts**: First, I would confirm the alerts to ensure they are accurate and not false positives. This involves checking the monitoring dashboard and logs to see if there is indeed a drop in data ingestion.

2. **Check Data Sources**: I would start by checking the data sources to ensure they are still sending data. This includes verifying network connectivity and ensuring there are no issues with the source systems.

3. **Inspect Ingestion Points**: Next, I would inspect the ingestion points of the pipeline, such as Kafka topics or API endpoints, to see if they are receiving data. If not, I would check for any configuration changes or network issues that might be blocking data.

4. **Review Pipeline Logs**: I would review the logs of the data pipeline components to look for any error messages or warnings that could indicate where the failure is occurring. This includes checking logs for Kafka, data processing services, and storage systems.

5. **Monitor System Metrics**: I would monitor system metrics such as CPU, memory, and disk usage on the servers running the data pipeline. High resource usage could indicate bottlenecks that are preventing data ingestion.

6. **Check for Recent Changes**: I would review any recent changes or deployments to the data pipeline that might have introduced the issue. This includes code changes, configuration updates, and infrastructure modifications.

7. **Test Data Flow**: I would run test data through the pipeline to see if it is being ingested and processed correctly. This helps identify if the issue is with specific data sources or a general problem with the pipeline.

8. **Communication with Teams**: If the issue persists, I would communicate with other teams, such as network, infrastructure, and development, to gather more information and collaborate on resolving the issue.

By following these steps, I can systematically identify and resolve the cause of the data ingestion issue, ensuring the data pipeline returns to normal operation.