While Adam Selipsky’s speech made some groundbreaking launches, it largely stuck to the conservative path.
With the launch of a pay-as-you-go MongoDB Atlas with Free Trial in AWS Marketplace, developers will have a simplified subscription experience, and enterprises will have another way to procure MongoDB in addition to privately negotiated offers already supported on AWS Marketplace.
When Karpenter is installed in a working cluster, it observes the aggregate resource requests of unscheduled pods and makes decisions to launch new nodes and terminate them to reduce scheduling latencies and infrastructure costs.
The service helps automakers efficiently transfer data to the cloud in near-real-time using the service’s intelligent filtering capabilities that allow developers to reduce network traffic by selecting the data to transfer and defining rules for when to transfer it based on parameters like weather conditions, location, or vehicle type.
With AWS Private 5G, customers can specify a coverage area within a geographic location where they want to deploy a private 5G network, along with the amount of traffic they expect the network to handle.
SageMaker Canvas leverages the same technology as previous Amazon SageMaker to automatically clean and combine data, create hundreds of models under the hood, select the one performing best, and generate new individual or batch predictions.
Customers like DirecTV, Discovery, Epic Games, Formula 1, Honeycomb.io, Intuit, Lyft, MercardoLibre, NextRoll, Nielsen, SmugMug, Snap, Splunk, and Sprinklr have seen significant performance gains and reduced costs from running AWS Graviton2 based instances in production since they launched in 2020.
Based on the announcement, and trends in the cloud industry, among other factors, we predict what will happen at the AWS re:Invent event.
Recently at the AWS re:Invent event, the e-commerce giant announced the launch of Amazon Redshift Machine Learning (Amazon Redshift ML). According to its developers, with Amazon Redshift ML data scientists can now create, train as well as deploy machine learning models in Amazon Redshift using SQL. Amazon Redshift is one of the most widely used…
The post AWS Announces Amazon Redshift ML, A Cloud-based Service For Data Scientists To Use ML Technologies appeared first on Analytics India Magazine.
Recently at the AWS re:Invent event, the e-commerce giant announced the launch of Amazon Redshift Machine Learning (Amazon Redshift ML). According to its developers, with Amazon Redshift ML data scientists can now create, train as well as deploy machine learning models in Amazon Redshift using SQL. Amazon Redshift is one of the most widely used…
The post AWS Announces Amazon Redshift ML, A Cloud-based Service For Data Scientists To Use ML Technologies appeared first on Analytics India Magazine.
