Many machine learning models never reach actual users. They often get stuck in notebooks due to unclear requirements, clunky hand-offs, and the lack of a defined shipping point. In ML to Prod with K8s: Don’t Let Your Model Die in Dev, we offer a clear, repeatable process to turn experiments into active, scalable services on Azure.
We’ll walk through the full lifecycle of a model from the initial business question and rapid experimentation to a Kubernetes deployment that can scale, self-monitor, and persist across multiple versions. You’ll learn about common project pitfalls and practical strategies to keep code, data, and teams aligned.
In addition, we’ll cover key concepts around Kubernetes orchestration, auto-scalability, and the benefits of adopting Kubernetes in your organization, such as improved operational efficiency, environment portability, and centralized deployment management.
By the end, you’ll be ready to help any promising model make it to production where it can truly deliver value.
Nacho Zobian Massetti – Data Architecture Engineer & MLOps Specialist.
I'm a cloud-native data and ML platform architect at SEIDOR Opentrends, where I design and implement end-to-end pipelines that take you from raw datasets to live model endpoints.
As Co-founder of SmartSage, I currently lead the AI track, driving innovation and best practices in applied machine learning.
I'm passionate about full-stack MLOps from data reproducibility and experiment tracking to automated testing and model monitoring.
I share what I learn in simple terms through the Medium publication Python in Plain English, where I write tutorials covering everything from Kubeflow how-tos to Retrieval-Augmented Generation pipelines and CUDA-accelerated ETL techniques.
I hold Google Cloud certifications including Professional Data Engineer and Associate Cloud Engineer.
Currently working at SEIDOR, a company specialized in multi-cloud projects and technological solutions, particularly in the banking sector.
Raúl Moreno Muñoz – Cloud-Native & DevOps Specialist @ Intercept
Azure Kubernetes Service (AKS), microservices, and GitOps DevOps engineer. Co-Founder at SmartSage, where I designed and built the cloud architecture and DevSecOps strategy that enables the platform to scale securely and efficiently.
Owner of the YouTube channel “How To Azure,” offering real-time tutorials on AKS, Azure Arc, and Infrastructure-as-Code.
I have four years of experience in multi-cloud environments, primarily focused on Azure, but also with hands-on knowledge in AWS. I hold certifications including CKA, CKAD, and Microsoft Azure certifications.
Currently working as an Azure Engineer at Intercept, a Netherlands-based company specializing in Azure solutions.
