Marco González
Red Hat, Sr. Software Engineer
Tokyo, Japan
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Senior Software Engineer at Red Hat with 13+ years of global experience in 3G, 4G, and 5G network integration. A US patent creator and Telco Automation expert, Marco is an active CNCF Program Committee member and speaker at KubeCon, Kubedays, and CNCF events. He is a contributor to open-source projects including Open5GCore, Kepler, and kube-compare, bridging the gap between Telecommunications and Kubernetes.
Area of Expertise
Topics
With Great Networks Come Great Carbon Savings: OpenSource + AI for RAN Optimization
Telecom networks, especially with 5G expansion, are major energy consumers. What if we could cut energy use and carbon emissions without compromising performance? In this session, we’ll show how Kubernetes and OpenSource tools can transform Radio Access Networks (RAN) into energy-efficient systems.
We’ll walk through deploying AI/ML pipelines to predict network traffic and optimize energy in real-time. Using Kubernetes for scalability, Prometheus and Grafana for monitoring, and open-source tools for automation, we’ll demonstrate how these technologies come together to tackle energy challenges.
The session ends with a live demo, starting with a RAN simulator, integrating AI workloads, and visualizing energy-saving results. You’ll see the power of OpenSource in action and leave with practical tips, reusable code, and a clear vision for making telecom networks more sustainable.
Next-Level 5G Core Deployments: Harnessing eBPF's Capabilities for Performance and Security
This session will focus on the power of applying eBPF to 5G Core deployments over Kubernetes.
We aim to examine and discuss how eBPF can improve network performance and security and contribute to the evolution of existing 5G technologies.
Our presentation will start with an overview of eBPF – a revolutionary technology that allows for dynamic tracing of the kernel, enhancing network routing, load balancing, and security. We will discuss challenges for current 5G deployment strategies and how eBPF can provide practical solutions, emphasizing its potential benefits and relevance in the 5G context. Then we will transition into a detailed exploration of deploying a CNI with eBPF in a 5GCore solution over Kubernetes.
The last part of the session will conclude with a real-world demonstration of deploying LTERAN and establishing end-to-end communication, showcasing the practical implications and benefits of using eBPF in 5G deployment strategies and some takeaways.
Mission Possible: Forging a New Paradigm in 5G Deployment through CDK and AI Issue Navigation
This talk will outline the deployment and fine-tuning of the 5G core. Our approach utilizes customized CDK constructs and LLMs to establish a fully operational Edge 5G core network.
In the first part of the session, we will showcase a new way of combining LLM with our existing 5G core network, which will be deployed using CDK construct. We will then use data from logs to continuously feed and update the training pipeline. This setup enables open-source LLMs to quickly adapt and provide on-the-spot, practical insights.
The last part of the session will conclude with a real-world demonstration where the LLM successfully collects logs in real-time including the 5G codebase, to serve as a training dataset to diagnose and rectify any challenging error in this Edge 5G network, showcasing its capability to analyze and suggest corrective actions effectively. This approach not only enhances operational efficiency but also optimizes response strategies in 5G telecommunications infrastructure.
Mission Possible: Forging a New Paradigm in 5G Deployment through CDK and AI Issue Navigation
This talk will outline the deployment and fine-tuning of the 5G core. Our approach utilizes customized CDK constructs and LLMs to establish a fully operational Edge 5G core network.
In the first part of the session, we will showcase a new way of combining LLM with our existing 5G core network, which will be deployed using CDK construct. We will then use data from logs to continuously feed and update the training pipeline. This setup enables open-source LLMs to quickly adapt and provide on-the-spot, practical insights.
The last part of the session will conclude with a real-world demonstration where the LLM successfully collects logs in real-time including the 5G codebase, to serve as a training dataset to diagnose and rectify any challenging error in this Edge 5G network, showcasing its capability to analyze and suggest corrective actions effectively. This approach not only enhances operational efficiency but also optimizes response strategies in 5G telecommunications infrastructure.
A Paradigm Shift in 5G Deployment: The Promise of eBPF for Open-source Core Performance and Security
This session will focus on the power of applying eBPF to 5G Core deployments over Kubernetes.
We aim to prove and discuss how eBPF can improve network performance and security and contribute to the evolution of existing 5G technologies.
Our presentation will start with an overview of eBPF – a revolutionary technology that allows for dynamic tracing of the kernel, enhancing network routing, load balancing, and security. We will discuss challenges for current 5G deployment strategies and how eBPF can provide practical solutions, emphasizing its potential benefits and relevance in the 5G context.
Then we will transition into a detailed exploration of deploying a CNI with eBPF in a 5GCore solution over Kubernetes.
The last part of the session will conclude with a real-world demonstration of deploying LTERAN and establishing end-to-end communication, showcasing the practical implications and benefits of using eBPF in 5G deployment strategies and some takeaways.
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