63 min listen
MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
FromMLOps.community
MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
FromMLOps.community
ratings:
Length:
59 minutes
Released:
May 16, 2020
Format:
Podcast episode
Description
MLOps community meetup #11 Machine Learning at scale in Mercado Libre with Carlos de la Torre
Mercado Libre hosts the largest online commerce and payments ecosystem in Latin America. The IT department built Fury: a PaaS framework for the development and deployment of multi-cloud, multi-technology, microservices. This platform leveraged the growth of the IT area, which now counts ~4000 people.
As such, it lacked support for machine-learning based solutions: an experimentation environment for data-scientists, infrastructure and data access support for ETL and model’s training tasks, etc. Therefore, for over a year now, they have been developing Fury Data Apps (FDA). An extension of Fury to for the design, experimentation, development and deployment of machine-learning based solutions. It is already supporting ~500 users and some high-performance production APIs.
In this meetup we talk about the main features of the platform, the supporting technology and why Carlos never accepted my Linkedin request.
Link to the article Carlos references: https://martinfowler.com/articles/cd4ml.html
Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw
follow us on twitter:@mlopscommunity
Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Carlos on LinkedIn: https://www.linkedin.com/in/carlosdelatorre/
Follow Carlos on Twitter: @py_litox
Mercado Libre hosts the largest online commerce and payments ecosystem in Latin America. The IT department built Fury: a PaaS framework for the development and deployment of multi-cloud, multi-technology, microservices. This platform leveraged the growth of the IT area, which now counts ~4000 people.
As such, it lacked support for machine-learning based solutions: an experimentation environment for data-scientists, infrastructure and data access support for ETL and model’s training tasks, etc. Therefore, for over a year now, they have been developing Fury Data Apps (FDA). An extension of Fury to for the design, experimentation, development and deployment of machine-learning based solutions. It is already supporting ~500 users and some high-performance production APIs.
In this meetup we talk about the main features of the platform, the supporting technology and why Carlos never accepted my Linkedin request.
Link to the article Carlos references: https://martinfowler.com/articles/cd4ml.html
Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw
follow us on twitter:@mlopscommunity
Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Carlos on LinkedIn: https://www.linkedin.com/in/carlosdelatorre/
Follow Carlos on Twitter: @py_litox
Released:
May 16, 2020
Format:
Podcast episode
Titles in the series (100)
MLOps.community meetup #9 with Charles Martin - 10 Years Deploying Machine Learning in the Enterprise: The Inside Scoop! by MLOps.community