Alvaro Saurin
Senior Software Engineer at Adobe
Senior Software Engineer en Adobe
A Coruña, Spain
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Alvaro Saurin is a Senior Platform Engineer at Adobe, where he contributes in the development of API and service mesh solutions within Adobe’s Cloud Platform Engineering team. With extensive experience across companies such as SUSE, Telefonica R&D, and WeaveWorks, he has shaped high-performing platforms in both startup and enterprise environments. Alvaro’s career spans large-scale cloud operations, distributed systems, and engineering leadership, and he is now expanding his focus into LLMs and AI.
Alvaro Saurin es Senior Platform Engineer en Adobe, donde contribuye al desarrollo de soluciones de API y service mesh dentro del equipo de Cloud Platform Engineering de Adobe. Con una amplia experiencia en empresas como SUSE, Telefónica I+D y WeaveWorks, ha impulsado plataformas de alto rendimiento tanto en entornos startup como empresariales. La carrera de Alvaro abarca operaciones cloud a gran escala, sistemas distribuidos y liderazgo técnico, y actualmente está ampliando su enfoque hacia LLMs e IA.
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Enterprise-scale migrations using agentic workflows with human-in-the-loop
This presentation dives into the challenges of migrating enterprise Gateway configurations from NGINX to Envoy in an environment with tens of thousands of services across hundreds of clusters and regions. Migrating configurations is often seen as a simple translation task, but real-world scenarios reveal vastly different data models, incomplete or inconsistent information, and the need for common-sense interpretation. We introduce an agentic approach powered by Large Language Models (LLMs) to drive and refine migration tools iteratively, but supervised by a human-in-the-loop. The method leverages LLMs not just to transform configurations but to also fix and improve the migration tools through a structured inner loop (coding) and outer loop (migration execution) architecture. Attendees will learn how this innovative approach enables scalable, predictable, and efficient migrations with iterative human evaluation and agentic workflows.
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