A TL;DW of the new Amazon SageMaker features revealed at re:Invent 2022's
As usual, re:Invent brought us a lot of new features and improvements. Here's comes a list of them with short, concise explanations.
What they uncovered:
SageMaker Role Manager - allows you to quickly generate correct, least-privilege roles for your SageMaker users
SageMaker Model Cards - basically a catalog of your models, but designed for humans
SageMaker Model Dashboard - an unified UI to browse health of your deployed models
SageMaker Geospatial …service? - seems like a mix between a no-code tool that lets you preprocess geospatial data and an AutoML tool that lets you analyse that data
SageMaker Studio UI revamp - other SageMaker services such as Pipelines are now more visible and the Home page was revamped.
more data sources (now 40+) available for SageMaker Data Wrangler
SageMaker Notebook Jobs - you can now convert the code in your notebooks into scheduled jobs. Basically Papermill + SageMaker Processing + a cron. As usual, S3 is used for input and output.
SageMaker Inference Shadow Testing - send incoming request to two models (variants) at the same time. One model returns responses to the caller, the other saves results only to S3 so that you can compare performance between models in a safe manner.
Multiple people can now browse and edit the same SageMaker Studio Notebook and get all the changes in real-time, like simultaneously changing a document in Google Docs.
flows you've created in SageMaker Data Wrangler can be imported to a SageMaker Inference Pipeline and used in Real-time or Batch inference
if you install and import
sagemaker_datawranglerpackage along Pandas (in SageMaker Studio Notebooks), then every Pandas dataframe printed will also show you various insights and statistics about the data, in a slick UIthere's now a Shared models tab in SageMaker Studio that lets you browse, use and share models OR notebooks across entire AWS Organization
multiple SageMaker Studio Domains are allowed
SageMaker Pipelines now support SageMaker Autopilot (AutoMLStep was added)
IMO - Various Studio enhancements and Shadow Testing are great. Notebook Jobs are like 3 years too late, but will be useful for people just getting into SageMaker space and expecting an "easy way in". No drastic changes or game changers.