This text discusses the integration of Parseable and Redpanda to create a high-performance, JVM-free log unification stack. Parseable, written in Rust, is a lightweight log observability system that uses object storage, enabling scalability and efficient data handling with reduced memory and CPU usage compared to Elastic. Redpanda, a Kafka-compatible streaming data platform, offers lower latency and simplified operations, making it suitable for managing large data streams. The integration is facilitated through Kafka Connect and connectors like the Aiven HTTP Sink Connector, allowing seamless data flow from Redpanda to Parseable. The setup utilizes Docker Compose for deployment, demonstrating how log data can be efficiently collected, processed, and analyzed. The process simplifies log data handling, facilitating the unification of logs from various sources, which can be critical for performance monitoring and debugging in cloud-native environments.