Streamlining Multi-Account Serverless MLOps Pipelines with AWS Step Functions and Terraform

Streamlining Multi-Account Serverless MLOps Pipelines with AWS Step Functions and Terraform

 

https://businesscompassllc.com/streamlining-multi-account-serverless-mlops-pipelines-with-aws-step-functions-and-terraform/

 

In the modern data-driven world, Machine Learning Operations (MLOps) have become crucial for automating and managing the lifecycle of machine learning models. By adopting a serverless architecture, teams can achieve scalability, cost efficiency, and ease of maintenance. Serverless MLOps eliminate the need for infrastructure management, enabling data scientists and developers to focus on building and deploying models. Utilizing services like AWS Lambda, AWS Step Functions, and S3 in a serverless MLOps pipeline ensures a fully managed and automated workflow from data processing to model deployment.