In this session, we explore the integration of time-series databases within cloud-native architectures, focusing on scalability, flexibility, and fault tolerance. We discuss how these databases handle large volumes of real-time data through efficient streaming, storage optimization, and query processing. Special attention is given to data retention strategies and volume management to maintain performance in dynamic cloud-native environments. Drawing on open-source examples like InfluxDB, this talk delves into architectural considerations and practical solutions, providing attendees with a comprehensive understanding of deploying and managing time-series databases effectively. Aimed at developers, architects, and system administrators, the session offers foundational insights for leveraging time-series data to enhance decision-making and operational efficiency in cloud-native applications.