CI/CD pipelines are optimized for code deployments. Long-running operational processes and self-service workflows can be orchestrated more flexibly with Kestra.
In this case Python code takes care of dividing the work to 3 processes running at the same time, one for each input file. Python has several packages for code parallelization, here examples for dask ...
Abstract: Efficiently processing massive satellite datasets is a critical challenge in the field of remote sensing. The limitations of computational resources, bottlenecks in I/O operations, and ...
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