Progreso Día 1: Despliegue en 3 Capas

Avance del despliegue de una aplicación de 3 capas en AWS con Terraform: frontend en ECS Fargate, ECR, ALB y CloudWatch; preparado para CI/CD con Jenkins y automatización de procesos. Revisa el repositorio en GitHub.

7 sept 2025 • 1 min read • Q2BSTUDIO Team

Inteligencia-Artificial-

Progreso Día 1 Despliegue en 3 capas en AWS con Terraform

Estoy encantado de compartir el avance del despliegue de una aplicación de 3 capas en AWS usando Terraform. Hoy dejé operativa la capa de frontend end to end

Infraestructura de frontend completada Creé el repositorio de ECR para la imagen Docker del frontend, desplegué el servicio ECS con Fargate, configuré un Application Load Balancer para el enrutamiento del tráfico y habilité CloudWatch Logs para observabilidad y monitoreo

Mañana implementaré CI CD para lograr despliegue continuo y seguiré con la infraestructura de backend. El siguiente paso será automatizar el pipeline con Jenkins y, después, integrar backend y base de datos

Este proyecto práctico está fortaleciendo mis habilidades en cloud, contenedores y DevOps, además de buenas prácticas de Infrastructure as Code con Terraform

En Q2BSTUDIO impulsamos a las empresas con desarrollo de software y aplicaciones a medida, inteligencia artificial, ciberseguridad, servicios cloud en AWS y Azure, y capacidades de inteligencia de negocio con Power BI. Si tu organización quiere acelerar su adopción de la nube con fiabilidad y seguridad, descubre nuestros servicios cloud en AWS y Azure. Para elevar tu CI CD y la orquestación de flujos, también te ayudamos con automatización de procesos

Si deseas revisar el código o replicar la solución, aquí tienes el repositorio del proyecto Repositorio en GitHub

Palabras clave aplicaciones a medida, software a medida, inteligencia artificial, ciberseguridad, servicios cloud aws y azure, servicios inteligencia de negocio, ia para empresas, agentes IA, power bi

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