Billion-Scale Solar Data Processing Without HPC: A Pragmatic Approach to Real Observatory Data

MackSun demonstrates how to handle massive solar observation data streams under severe hardware constraints, using a single 16-vCPU Linux server instead of expensive HPC infrastructure. This pragmatic approach to real-world astronomy data processing—with 3 billion high-frequency data points from actual solar instruments at CASLEO observatory—proves that careful system design and strategic partitioning can overcome traditional scalability limitations. For resource-constrained institutions, this shows that large-scale scientific data analysis is possible without massive computational investments.