Luis Felipe Ariza Vesga
Beanters, general manager, DevOps, telecommunications
Bogotá, Colombia
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Kubestronaut | PhD in telecommunications | RF Microelectronics | PHY & MAC/Open RAN/NTN/Cloud-Native/IoT/5G broadcast/Private networks/+G/Metaverse/AI/QC | Speaker | Organizer: Colombia OpenInfra User Group & KCD Colombia 2025
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Redes 4G y 5G en la Academia: De la Teoría al Despliegue con Software Libre
En esta charla, un estudiante de Ingeniería en Redes y Telecomunicaciones presentará el proceso completo para desplegar una red celular privada en un entorno académico utilizando contenedores a través de Docker Compose. El proyecto, desarrollado como trabajo final de semestre, demuestra cómo es posible implementar infraestructura de telecomunicaciones avanzada empleando exclusivamente software libre y hardware de propósito general.
Durante la presentación se explicarán los pasos clave, los retos técnicos y las ventajas de adoptar soluciones abiertas en la formación académica, así como las posibilidades de expansión hacia entornos más complejos ,como Kubernetes.
OpenStack a los 15 años: Impacto de la fusión con la Linux Foundation y su evolución hacia el futuro
En el marco del 15º aniversario de OpenStack, esta charla explorará el impacto de la reciente fusión entre la Fundación OpenInfra y la Linux Foundation, y cómo esta alianza estratégica está redefiniendo el panorama de la infraestructura abierta.
Esta charla proporcionará una visión integral de cómo la evolución de OpenStack y su integración con la Linux Foundation están allanando el camino hacia una infraestructura más abierta, segura y preparada para los desafíos tecnológicos del futuro.
From Dataset to Deployment: The Complete Lifecycle of a Machine Learning Application on Kubernetes
Imagine pushing a single commit to GitHub and automatically triggering the full lifecycle of a machine learning application from a dataset to a fully deployed, accessible service running in Kubernetes.
In this talk, we explore an end-to-end MLOps workflow that integrates FastAPI as the backend inference service and Streamlit as the user web interface. The pipeline leverages CI/CD automation to build, test, containerize, and deploy the ML model using GitOps principles using GitHub Actions and Flux.
Once deployed, users can access the machine learning application remotely, interacting with live predictions through a clean, browser-based interface. The presentation highlights how continuous integration and reconciliation processes keep the system operational, even after failures or infrastructure changes.
The key objective is to demonstrate how to measure and minimize recovery time in case of a technical incident, showing how automation ensures resilience and fast redeployment without manual intervention.
This session combines machine learning, DevOps, and cloud-native practices to showcase how reproducible, fault-tolerant ML platforms can be built entirely with open-source tools.
From Chaos to Control: A Prescription for Managing Apps on Private Cellular Networks
If you think managing application chaos in Kubernetes is a challenge, welcome to the world of private cellular networks. Here, open-source software collides with the unforgiving laws of physics. We aren't just tuning YAMLs; we are tuning antenna gains, transmission power, and virtualization layers to shave off microseconds of latency, all while navigating complex country regulations.
This talk translates the red-eyed, migraine-inducing chaos of telco engineering into a symphony of cloud-native solutions. You'll leave with a new appreciation for your "manageable" chaos and see how these extreme challenges provide powerful lessons for any complex Kubernetes deployment.
Enhancing Stability and Enabling Cloud-Native Capabilities for Private Cellular Networks
In this presentation, I will share the process of migrating from Docker Compose to Helm for deploying private cellular networks. This transition enhances stability, scalability, and cloud-native capabilities, making deployments more efficient and manageable. Join me to explore the key challenges, benefits, and best practices for leveraging Helm in private network deployments.
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