4 Infrastructure as Code Services That Can Supercharge Your ML Infrastructure

Infrastructure,
Large crane in shot. Photo by Guillaume TECHER on Unsplash

Looking to up your MLOps game? Check out the MLOps Now newsletter.

Introduction

For those serious about MLOps, mastering Infrastructure as Code (IaC) is essential. IaC allows you to define your machine learning infrastructure in a few files, enabling cloud platforms to build everything automatically. This approach saves time and makes your system more resilient to cloud failures. In this article, we’ll explore four game-changing IaC services that you should consider for your MLOps workflow.

1. AWS CloudFormation

AWS CloudFormation is a powerful IaC service that automates the creation of AWS infrastructure. As the top dog of the group, it’s a great choice if you’re looking to provision niche AWS services, as it offers more options than other IaC offerings.

Key Features of AWS CloudFormation:

2. Terraform

Terraform is an IaC tool that enables you to deploy infrastructure across various platforms. With the ability to write standardized definitions for hundreds of platforms, Terraform is the best choice if your infrastructure is spread across different providers.

Key Features of Terraform:

3. Pulumi

Pulumi is similar to Terraform but supports almost any programming language. This flexibility makes it an excellent option if you need to automatically activate IaC, as you can embed it in your existing system to trigger builds when necessary.

Key Features of Pulumi:

4. KServe

Although not precisely an IaC service, KServe is still worth mentioning. KServe is a Model Inference Platform for Kubernetes, providing a standard inference layer across multiple machine learning frameworks. It’s an excellent choice if you’re leveraging serverless infrastructure or hosting your own.

Key Features of KServe:

Conclusion

Infrastructure as Code (IaC) is a game-changer for MLOps, offering time savings and increased resiliency. By choosing the right IaC service, such as AWS CloudFormation, Terraform, Pulumi, or KServe, you can streamline your MLOps workflow and make your machine learning infrastructure more robust and reliable.

If you found this article insightful, be sure to:

Want to become an MLOps master? Sign up to the MLOps Now newsletter to get weekly MLOps insights.