Logstash, a robust log aggregator in ELK-based pipelines, is known for its complexity and resource intensity, making it challenging to configure multiple pipelines and debug. Despite these challenges, Logstash performs crucial tasks within the ELK stack, and over time, some of its processing responsibilities have been shifted to other components like Filebeat and Elasticsearch ingest nodes to enhance performance. Recent updates have introduced monitoring tools like the Pipeline Viewer in X-Pack, which provides a visual representation of pipeline statistics, allowing users to identify potential parsing bottlenecks and improve performance. While these tools assist in monitoring and optimizing Logstash, they do not address all inherent challenges, such as high CPU usage by certain filters, which require careful configuration and management.