Each year, AWS Re:Invent revolutionizes the tech landscape by introducing a myriad of new features and services. This year's announcements, marked by groundbreaking innovations, are summarized here.
Amazon Redshift Serverless
Preview - with AI-driven scaling and optimizations
Vector Engine for Amazon OpenSearch Serverless
A simple, scalable, and high-performing vector database which makes it easier to build ML-augmented search experiences and generative AI applications.
AWS B2B Data Interchange
AWS B2B Data Interchange automates the exchange of EDI-based business-critical transactions at scale, with elasticity and pay-as-you-go pricing. B2B Data Interchange reduces the time, complexity, and costs incurred to build and manage EDI with trading partners, letting you focus on using the transacted data to gain insights
Amazon One Enterprise
Preview - Amazon One Enterprise is a palm-based biometric identity service that allows you to strengthen your organization’s security, optimize operations, and deliver a more convenient, contactless employee experience across the workplace.
AWS Supply Chain
Pre-announce - Extends visibility and insights beyond your organization to your external trading partners
Pre-announce - Forecasts and plans purchases of raw materials, components, and finished goods.
Amazon EC2 R8g Instances
Preview - Memory optimized instances powered by AWS Graviton4 processors.
AWS re:Post Private
AWS re:Post Private is your own private space to collaborate within your company and with AWS. With re:Post Private, it is easier for you to build an organization-specific cloud community that drives efficiencies at scale and provides access to valuable knowledge resources. Additionally, re:Post Private centralizes trusted AWS technical content and offers private discussion forums to improve how your teams collaborate internally—and with AWS—to remove technical obstacles, accelerate innovation, and scale more efficiently in the cloud.
Amazon ElastiCache Serverless
Simplifies cache management and instantly scales to support the most demanding applications
Aurora Limitless Database
Limited preview - Scale Amazon Aurora clusters to millions of write transactions per second and manage petabytes of data while maintaining the simplicity of operating inside a single database.
Set up, operate, and scale a Db2 database in the cloud with just a few clicks
MySQL zero-ETL integration with Amazon Redshift
Preview - Access transactional data from Amazon RDS for MySQL to run analytics and machine learning (ML) on petabytes of data in Amazon Redshift.
Aurora PostgreSQL zero-ETL integration with Amazon Redshift
Preview - Enables near real-time analytics and machine learning (ML) using Amazon Redshift on transactional data from Amazon Aurora.
Amazon Neptune Analytics
High-performance analytics database engine and a serverless database engine for superior scalability and availability
Amazon WorkSpaces Thin Client
Amazon WorkSpaces Thin Client improves end-user and IT staff productivity—supporting a wide range of end users with cost-effective, secure, easy-to-manage access to virtual desktops.
A fun and intuitive hands-on, generative AI app-building playground.
AWS HealthScribe is a HIPAA-eligible service empowering healthcare software vendors to build clinical applications that use speech recognition and generative AI to automatically generate preliminary clinical documentation. It automatically create clinical notes from patient-clinician conversations using generative AI.
Preview - Your generative AI assistant designed for work that can be tailored to your business, data, code, and operations.
Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy-lifting involved in managing and optimizing a large training compute cluster. With SageMaker HyperPod, you can train FMs for weeks and months without disruption. To make FM training more resilient to hardware failures, SageMaker HyperPod continually monitors cluster health, repairs and replaces faulty nodes on the fly, and saves frequent checkpoints to automatically resume training without losing progress. SageMaker HyperPod is preconfigured with SageMaker distributed training libraries that allow ML practitioners to improve FM training performance by making it easier to split training data and FMs into smaller chunks. These smaller chunks are processed in parallel across the cluster nodes, while fully using the cluster’s compute and network infrastructure.
VS code support in Amazon SageMaker Studio
A single web-based interface for end-to-end machine learning (ML) development.
AWS Clean Rooms ML
Preview - Apply machine learning with your partners without sharing underlying data.
EC2 Runtime Monitoring
Preview - Fully managed threat detection visibility for Amazon EC2 instances at runtime
ECS Runtime Monitoring
Gain visibility into potential threats to your Amazon ECS workloads—including serverless workloads on AWS Fargate.
Amazon EFS Archive storage class
A cost-effective way to retain cold, rarely-accessed data so that it’s always available to power new business insights.
Amazon FSx for NetApp ONTAP scale-out file systems
Launch and run fully managed, fully-featured ONTAP file systems in the cloud.
Amazon S3 Express One Zone
The Amazon S3 Express One Zone storage class is purpose-built to deliver the fastest cloud object storage for performance-critical applications that demand consistent single-digit millisecond request latency.