This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! The first in this year’s series of AWS Summits took place in San Francisco this past week and we had a bunch of great announcements. Let’s take a closer look… Last Week’s Launches Here are some launches that caught my eye this week: AWS Migration Hub Orchestrator – Building on AWS Migration Hub (launched in 2017), this service helps you to reduce migration costs by automating manual tasks, managing dependencies between tools, and providing better visibility into the migration progress. It makes use of workflow templates that you can modify and extend, and includes a…
Category: AWS
Reposts from Amazon Web Services (AWS).
Amazon SageMaker Serverless Inference – Machine Learning Inference without Worrying about Servers
In December 2021, we introduced Amazon SageMaker Serverless Inference (in preview) as a new option in Amazon SageMaker to deploy machine learning (ML) models for inference without having to configure or manage the underlying infrastructure. Today, I’m happy to announce that Amazon SageMaker Serverless Inference is now generally available (GA). Different ML inference use cases pose different requirements on your model hosting infrastructure. If you work on use cases such as ad serving, fraud detection, or personalized product recommendations, you are most likely looking for API-based, online inference with response times as low as a few milliseconds. If you work with large ML models, such as in computer vision (CV) applications, you might require infrastructure that is optimized to run…
Amazon Aurora Serverless v2 is Generally Available: Instant Scaling for Demanding Workloads
Today we are very excited to announce that Amazon Aurora Serverless v2 is generally available for both Aurora PostgreSQL and MySQL. Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora that allows your database to scale capacity up or down based on your application’s needs. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. It is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administrative tasks, such as hardware provisioning, database setup, patches, and backups. One of the key features of Amazon Aurora is the separation of compute and storage. As a result, they scale independently. Amazon Aurora storage automatically scales as the amount of data in your database increases. For example,…
AWS IoT TwinMaker Is Now Generally Available
Last year at AWS re:Invent 2021, we introduced the preview of AWS IoT TwinMaker, a new AWS IoT service that makes it faster and easier to create digital twins of real-world systems and use them to monitor and optimize industrial operations. A digital twin is a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the physical system in order to drive business outcomes. Digital twins can be applied to a wide variety of use cases spanning the entire lifecycle of a system or asset, such as buildings, factories, industrial equipment, and production lines. Many of our customers are still early in their digital twins journey.…