The use of time series data is critical for various industries within the space sector, including satellite communications, Earth observation and remote sensing, and space exploration and navigation. These industries rely on time series data to monitor signal strength and quality, predict signal interference, track environmental changes, plan mission trajectories, and analyze celestial events. The sources of time series data in these industries include satellite sensors and instruments, radar and Lidar sensors, ground-based telescopes and observatories, and other devices that collect data on and monitor objects and events in space. However, managing this data can be challenging due to the high volume of data generated, device malfunctions or space weather events, and the need for sufficient storage and compute power. Time series databases like InfluxDB provide solutions for these challenges by offering features such as edge data replication, durable queues, and upserting late-arriving data.