Automatización de pruebas de modelos con Jenkins y Docker para Ciencia de Datos

Expertos en desarrollo de software a medida, inteligencia artificial, ciberseguridad y servicios cloud. Automatización de pruebas con Jenkins y Docker para garantizar implementaciones fiables. Servicios completos de inteligencia de negocio. Adopta CI CD para ciencia de datos con Q2BSTUDIO.

8 ago 2025 • 1 min read • Q2BSTUDIO Team

Inteligencia-Artificial-

En Q2BSTUDIO somos expertos en software a medida y aplicaciones a medida con un enfoque centrado en inteligencia artificial ciberseguridad servicios cloud aws y azure y servicios inteligencia de negocio

La automatizacion de pruebas de modelos de aprendizaje automatico con Jenkins y Docker permite agilizar el ciclo de vida de integracion continua y despliegue continuo y garantizar implementaciones fiables

Para empezar se crea un contenedor Docker con todas las dependencias necesarias como python libreria scikit learn y Jenkins agent

Ejemplo de Dockerfile basico

FROM python 3 8 RUN pip install scikit learn junit xmlrunner

Copia el codigo del modelo y el script de pruebas en el contenedor

El fichero de pipeline de Jenkins define etapas de build test y deploy

stage Build

sh docker build t model tester

stage Test

sh docker run model tester pytest test_model py

Con esta aproximacion cada cambio en el repositorio activa el pipeline que valida la precision y solidez del modelo antes de su puesta en produccion

Los servicios de Q2BSTUDIO abarcan desarrollo de software a medida aplicaciones a medida inteligencia artificial para ia para empresas agentes IA power bi y ciberseguridad para garantizar soluciones completas de servicios inteligencia de negocio

Optimizamos despliegues cloud en servicios cloud aws y azure y ofrecemos monitorizacion continua y escalabilidad automatica impulsada por inteligencia artificial

Adopta CI CD para ciencia de datos con Jenkins y Docker con Q2BSTUDIO y lleva tus proyectos de inteligencia artificial al siguiente nivel

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