Observability is a crucial component in managing distributed systems, providing comprehensive insights that help diagnose issues effectively. Real-time telemetry, which involves the automated collection and transmission of data, plays a significant role in enhancing observability by offering immediate visibility into system performance and behavior. A logistics company struggling with fleet management challenges, such as inefficient route planning and delayed performance detection, can transform its operations by implementing real-time telemetry. This involves capturing and analyzing data from various sources like application code, infrastructure components, and network devices using reliable communication protocols and frameworks like Apache Kafka or RabbitMQ. With real-time telemetry, the company can achieve enhanced observability, rapid troubleshooting, and performance optimization. However, implementing such a system comes with challenges, including ensuring scalability, data privacy, and resource management. To address these issues, companies can leverage distributed computing and scalable data stores, comply with privacy regulations, and optimize resource utilization. Partnering with platforms like PubNub can aid in seamless data transmission, offering scalable infrastructure, encryption, and integration with existing systems to optimize operations based on real-time data insights.