Business agility in cloud-native environments relies significantly on real-time data processing, enabling rapid response to changes reflected in business-event data. This text illustrates how Apache Spark and Redpanda can be used to create a real-time data analytics pipeline, as demonstrated through a tutorial involving Pandonline Corp., a fictional classified ads company. Pandonline seeks to analyze user behavior concerning classified ads by processing streaming data from Redpanda using Spark Streaming, marking ad visits as valid or invalid based on specific criteria. The tutorial provides a step-by-step guide to setting up a containerized Redpanda cluster, creating topics, and using Spark to process and stream data back to Redpanda, enhancing the company's ability to make data-driven decisions. This integration highlights the importance of real-time analytics in improving decision-making and operational efficiency in data-intensive, cloud-native environments.