Apache Kafka, an open-source platform for real-time data streaming, has become a staple in many enterprise architectures. Its importance has risen substantially due to its ability to process vast data volumes in distributed ecosystems. This blog post aims to deploy a containerized Kafka cluster and integrate OpenTelemetry into the mix without modifying any code. The deployment involves setting up a Docker Compose configuration, deploying a Python application that acts as both a producer and consumer, and auto-instrumenting OpenTelemetry using Lumigo's Java Distro and Python Distro. This setup enables top-notch monitoring and debugging with minimal setup, providing a clear end-to-end trace from the Python application to Kafka. The deployment showcases the speed and ease of use of Lumigo in deploying OpenTelemetry, making it an attractive solution for improving observability and application performance.