DevOps Pro Moscow 2022

23 - 26 мая

 Москва и онлайн

Michael J. Garbade

Должность:  CEO/Founder

Компания:  Education Ecosystem

Страна:  US

Биография

Garbade is the CEO/Founder Education Ecosystem. He has worked at Amazon, GE, Rebate Networks, Y-combinator. Serial Entrepreneur. Experienced with raising venture funding. He speaks English and German as mother tongues. He holds a Masters in Business Administration and Physics, and a PhD in venture capital Financing.

He is a Python, Django and DevOps Engineer. He writes technical and business articles in leading blogs like Opensource.com, Dzone.com, Cybrary, Businessinsider, Entrepreneur.com, TechinAsia, Coindesk and Cointelegraph. He is a frequent speaker and panelist at tech and blockchain conferences around the globe. He serves as a start-up mentor at Accel Springer Accelerator, NY Edtech Acccelerator, Seedstars and Learnlaunch Accelerator. He loves hackathons and serves as a technical Judge on hackathon panels. 

Доклад

Kubernetes for MLOps: How to Scale Enterprise Machine Learning, Deep Learning, Artificial Intelligence

Enterprises continue to develop interest in Machine Learning, Deep Learning and Artificial Intelligence, dedicating huge resources to ML/DL and AI projects. As the projects grow in size and scale, it has become critical that they build sustainable processes for model development and deployment.

Containers are a foundational technology for both DevOps and Machine Learning Operations (MLOps). They provide a core piece of functionality that allows a given piece of code—whether a notebook, an experiment, or a deployed model—to run anywhere. This presentation explores the role that the container orchestration system Kubernetes plays in supporting MLOps.

In the talk, Michael will demonstrate how Kubernetes, a container orchestration technology provides a lot of options to customize deployments and supports deployment of complex architectures.

The presentation will help engineers and organizations with on-premise production to automate their processes and environments. It will also help to show how DevOps and MLOps projects can be much more robust in resource placement.

Ключевые слова

AI
Kubernetes
Scalability

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