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 …
New for Amazon SQS – Update the AWS SDK to reduce latency Read More »
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 …
New – Block Public Sharing of Amazon EBS Snapshots Read More »
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) …
New – Manage Planned Lifecycle Events on AWS Health Read More »
“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 Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available Read More »
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 …
The year is coming to an end, and there are only 50 days until Christmas and 21 days to AWS re:Invent! If you are in Las Vegas, come and say hi to me. I will be around the Serverlesspresso booth most of the time. Last week’s launches Here are some launches that got my attention during …
Effective mid-2024, newly released Amazon EC2 instance types will use only version 2 of the EC2 Instance Metadata Service (IMDSv2). We are also taking a series of steps to make IMDSv2 the default choice for AWS Management Console Quick Starts and other launch pathways. Background This service is accessible from within an EC2 instance at …
Amazon EC2 Instance Metadata Service IMDSv2 by default Read More »
Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity to train, fine-tune, experiment, and inference these ML models has outpaced industry-wide supply, making GPUs a scarce resource. Access to GPU …
