CI/CD for ML with Cloud Build and Cloud Deploy

DevOps • October 2022

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CI/CD for ML with Cloud Build and Cloud Deploy

About

Imagine you are part of a Data science team and the IT department is the owner of self-managed K8s serving infrastructure. In order to deploy a model properly, you need a workflow that once the model is ready, it would test, build and release it into a staging and production environment. Here is where CI/CD practices come into play.

Language

English

Level

Intermediate

Length

28 minutes

Type

About the speakers

Gioacchino Martino

Customer Engineer • Google

Customer Engineer, Infrastructure Modernization Specialist @ Google - Google Certified Cloud Architect, Cloud DevOps Engineer Gioacchino è un Customer Engineer in Google Cloud. E’ entrato in Google nel 2021 con l’obbiettivo di aiutare le aziende Enterprise nei processi di innovazione in ambito Infrastructure ed Application Modernization. Prima di Google ha lavorato come IT architect e consulente in progetti Cloud e DevOps.

Ivan Nardini

CE • Google

Ivan Nardini is a Customer Engineer at Google Cloud specialized on MLOps and Decisioning. He’s been involved in operationalizing analytics using different open source technologies in a variety of industries. His focus is on providing solutions to operationalize analytics and optimize business decisioning processes.

Details

Language

English

Level

Intermediate

Length

28 minutes

Type

Belongs to:

Conference Milan 2022 | DevOps