Deploying Machine Learning at Scale With Serverless Microservices
Microservices are an emerging software architecture that’s gaining traction with large enterprises and also smaller, early-stage companies. Microservices means packaging each application component in an individual piece, usually in a RESTful API endpoint.
For models and parts of a pipeline, these API endpoints can be coupled to create complex applications.
Use this whitepaper to learn:
How to overcome the challenges of deploying a monolithic architecture at scale
To rely on open-source libraries and tooling for the majority of your microservices efforts
Which tools you need to save on expensive compute costs as your ML program grows
Deploying Machine Learning at Scale With Serverless Microservices
Microservices are an emerging software architecture that’s gaining traction with large enterprises and also smaller, early-stage companies. Microservices means packaging each application component in an individual piece, usually in a RESTful API endpoint.
For models and parts of a pipeline, these API endpoints can be coupled to create complex applications.
Use this whitepaper to learn:
How to overcome the challenges of deploying a monolithic architecture at scale
To rely on open-source libraries and tooling for the majority of your microservice efforts
Which tools you need to save on expensive compute costs as your ML program grows
