Welcome to the recap of the premier AWS event of the year – re:Invent 2023. This event took place from Nov. 27 to Dec. 1, 2023, and was filled with keynotes, training sessions, Innovation Talks, AWS Builder Labs, and much more. Here are the top announcements and updates from the event.
Analytics
Anomaly detection with AWS Glue (preview): This new feature will help to improve your data quality by using machine learning to detect statistical anomalies and unusual patterns.
Amazon CloudWatch Logs now offers automated pattern analytics and anomaly detection: Amazon CloudWatch can now automatically recognize and cluster patterns among log records, extract noteworthy content and trends, and notify you of anomalies using advanced machine learning algorithms.
Application Integration
AWS Step Functions Workflow Studio in AWS Application Composer: This new integration brings together the development of workflows and application resources into a unified visual infrastructure as code (IaC) builder.
Throughput increase and dead letter queue redrive support for Amazon SQS FIFO queues: With Amazon Simple Queue Service, you can send, store, and receive messages between software components at any volume.
Manage EDI at scale with new AWS B2B Data Interchange: Now, organizations can automate and monitor the transformation of EDI-based business-critical transactions at cloud scale.
Cloud Financial Management
Check your AWS Free Tier usage programmatically with a new API: You can use the API directly with the AWS Command Line Interface or integrate it into an application with the AWS SDKs.
New Cost Optimization Hub: This new AWS Billing and Cost Management feature makes it easy for you to identify, filter, aggregate, and quantify savings for AWS cost optimization recommendations.
Compute
Introducing Amazon EC2 high memory U7i Instances for large in-memory databases (preview): The new U7i instances are designed to support large, in-memory databases including SAP HANA, Oracle, and SQL Server.
Generative AI
Generative AI was a big theme for re:Invent this year. You can use generative AI to create new content of all kinds, whether something simple, like writing custom captions for images or far more complex, like developing more effective drug molecules. Here are some of the new capabilities for Amazon SageMaker that were announced:
SageMaker HyperPod: Accelerates model training time by up to 40% by enabling customers to automatically split training workloads across hundreds or thousands of accelerators, so workloads can be processed in parallel for improved model performance.
SageMaker Inference: Allows customers to deploy multiple models to the same AWS instance (virtual server), to better use the underlying accelerators and reduce deployment costs and latency.
SageMaker Clarify: Helps customers evaluate, compare, and select the best models for their specific use case, based on their chosen parameter to support responsible use of AI.
SageMaker Canvas enhancements: Two new launches in Canvas make it easier and faster for customers to integrate generative AI into their workflows.
Expanded choice of industry-leading models in Amazon Bedrock for generative AI applications: With Amazon Bedrock, customers can drive rapid innovation with the latest versions of these models.