Jan. 13, 2022, 5:59 a.m. | Lloyd Hamilton

Towards Data Science - Medium towardsdatascience.com

A guide to deploying dockerised ML models on AWS Lambda

Photo by Bench Accounting on Unsplash

Introduction

In my previous guide, we explored the concepts and methods in deploying machine learning model on AWS Elastic Beanstalk. Despite being largely automated, services like AWS Elastic Beanstalk still requires the deployment of key services such as EC2 instances and Elastic Load Balancers. Provisioned resources on AWS Elastic Beanstalk are always active, even when not required.

The concept of serverless orchestration of …

aws aws lambda deep-dives deployment docker learning machine machine learning machine learning models python serverless

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Lead Software Engineer - Artificial Intelligence, LLM

@ OpenText | Hyderabad, TG, IN

Lead Software Engineer- Python Data Engineer

@ JPMorgan Chase & Co. | GLASGOW, LANARKSHIRE, United Kingdom

Data Analyst (m/w/d)

@ Collaboration Betters The World | Berlin, Germany

Data Engineer, Quality Assurance

@ Informa Group Plc. | Boulder, CO, United States

Director, Data Science - Marketing

@ Dropbox | Remote - Canada