Integrating CI/CD Pipelines to Machine Learning Applications

Author(s): Kuriko Iwai

Originally published on Towards AI.

A step-by-step guide on automating the infrastructure pipeline on AWS Lambda architecture

A CI/CD pipeline is a set of automated processes that helps machine learning teams deliver models more reliably and efficiently.

This article provides a comprehensive guide on integrating CI/CD pipelines with machine learning applications, particularly in the context of AWS Lambda architecture. It covers tools and techniques, ensuring automation in deployment and management processes, enhancing productivity and reliability. The workflow includes setting up testing and building procedures using GitHub Actions, AWS CodeBuild, and establishing monitoring with Grafana to ensure seamless operation and oversight of machine learning models in deployment.

Read the full blog for free on Medium.

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Published via Towards AI