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How to set up a microservice infrastructure for AI services with Giant Swarm

Tech Demo
Tech Demo Stage
12:30-13:10
english

In this Tech Demo Puja Abbassi and Fernando Ripoll will give us a deep dive into the Kubernetes management platform of Giant Swarm. They will show us a real-world example of how to set up a microservice infrastructure for an AI/ML product using a declarative and reproducible approach. The technology enables end user engineers to start with a self-healing turn-key solution and gives them the freedom to customize the setup when they hit the limits of it. This will be a step by step guide of how to take advantage of Kubernetes as a platform of platforms for cloud native software engineering.

Speaker

Puja Abbassi

Vice President of Product at Giant Swarm.

How to set up a microservice infrastructure for AI services

Puja Abbassi is the Vice President of Product at Giant Swarm, building a managed cloud native Kubernetes platform. Over the last 16 years he has worked in various startups and software projects; first as a software engineer later in product management roles. Next to that he is an external expert advisor to the European Commission. Before that he worked for many years as a Network Science researcher on projects in the fields of IT security, technology startups, and venture capital. In his spare time Puja coaches technology startups at international accelerator programs and is a regular speaker at technology and startup events around the globe.

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Fernando Ripoll

Solution Engineer at Giant Swarm.

How to set up a microservice infrastructure for AI services

Fernandos background is as a full stack developer using technologies like Symfony, NodeJS, Golang, Ruby, Kubernetes, MongoDB, and HTML5. He has become more interested in distributed systems throughout his career, especially how containers and Kubernetes have changed the developer experience. He is currently helping some big players jump into Kubernetes and containers by championing the change from old practices to reveal the benefits of cloud environments.

LinkedIn

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