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The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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KrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. The stateless architecture allows for straightforward, linear scalability, eliminating the need for complex coordination or database maintenance.
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LibppGam
pp->gamma cross sections parametrization
This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies...
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