Description:
This release includes a functional version of the Pulsar-based log processing component.
Features & Highlights:
- Log Ingestion: Efficiently ingests high-volume robotic system logs from Apache Pulsar topics.
- Processing Pipeline: Transforms raw log data into structured insights for engineering analysis.
- Storage Optimization: Utilizes Parquet format for compact and efficient storage.
- Scalability: Designed for distributed processing using PySpark.
- Visualization Support: Prepares data for downstream analytics in Grafana/Superset.
Next Steps:
- Implement real-time event-driven analytics.
- Optimize log indexing for faster queries.
- Expand metrics extraction capabilities.
Feel free to modify it to include any specific details about dependencies, setup instructions, or additional context.