AWS News Blog

Cohere provides text generation and representation models powering business applications to generate text, summarize, search, cluster, classify, and utilize Retrieval Augmented Generation (RAG). Today, we’re announcing the availability of Cohere Command Light and Cohere Embed English and multilingual models on Amazon Bedrock. They’re joining the already available Cohere Command model. Amazon Bedrock is a fully […]

This week, it was really difficult to choose what to recap here because, as we’re getting closer to AWS re:Invent, service teams are delivering new capabilities at an incredible pace. Last week’s launches Here are some of the launches that caught my attention last week: Amazon Aurora – Aurora MySQL zero-ETL integration with Amazon Redshift […]

With Amazon SQS, you can send and receive messages between software components at any scale. It was one of the first AWS services I used and as a Solutions Architect, I helped many customers take advantage of asynchronous communications using message queues. In fact, Amazon SQS has been generally available since July 2006 and, under […]

You now have the ability to disable public sharing of new, and optionally existing, Amazon Elastic Block Store (Amazon EBS) snapshots on a per-region, per-account basis. This provides you with another level of protection against accidental or inadvertent data leakage. EBS Snapshot Review You have had the power to create EBS snapshots since the launch […]

With Amazon Comprehend, you can extract insights from text without being a machine learning expert. Using its built-in models, Comprehend can analyze the syntax of your input documents and find entities, events, key phrases, personally identifiable information (PII), and the overall sentiment or sentiments associated with specific entities (such as brands or products). Today, we […]

We are announcing new features in AWS Health to help you manage planned lifecycle events for your AWS resources and dynamically track the completion of actions that your team takes at the resource-level to ensure continued smooth operations of your applications. Some examples of planned lifecycle events are an Amazon Elastic Kubernetes Service (Amazon EKS) […]

“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift. These solutions help them gain insights […]

Amazon Data Lifecycle Manager now supports the use of pre-snapshot and post-snapshot scripts embedded in AWS Systems Manager documents. You can use these scripts to ensure that Amazon Elastic Block Store (Amazon EBS) snapshots created by Data Lifecycle Manager are application-consistent. Scripts can pause and resume I/O operations, flush buffered data to EBS volumes, and […]