Running Face Recognition on Kubernetes

Sergey L. Gladkiy

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3 Aug 2021CPOL3 min read

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In this next article of the series, we’ll show how to run the face recognition servers on Kubernetes.

Here we give practical cases when we need to use Kubernetes for scaling and deploying our AI solution in a real production environment and show how to run the containerized API in a local Kubernetes computer.

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This article is part of the series 'Hybrid Edge AI for Facial Recognition ◁ Prev View All Next ▷

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sergey L. Gladkiy

Team Leader VIPAKS

Russian Federation

EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.

PROFESSIONAL EXPERIENCE:

15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).

SCIENTIFIC INTERESTS:

Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

Running Face Recognition on Kubernetes

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