Abstract: With the advent of large astronomical equipments, the traditional development model for data reduction faces problems such as redundancy of programs and conflicting environmental dependencies; Besides as a cluster is a highly coupled computing resource, serious environmental conflicts can lead to the unavailability of the entire cluster. To address this problem, we have developed a new pipeline framework using the concept of microservices. This paper presents the ONSET (Optical and Near-infrared Solar Eruption Tracer) data pipeline developed through this framework. To achieve near real-time data processing, we optimize the core program using MPI and GPU technologies and evaluate the final performance. The results show that this development model can be built in a short time to meet the requirements of the pipeline, and we believe that this development model has implications for future multi-band and multi-terminal astronomical data processing.