Announcing Azure to AWS migration support in AWS Server Migration Service

AWS Server Migration Service (SMS) now offers support for migrating virtual machines (VMs) running in Microsoft Azure to the AWS cloud. The new capability makes it easier for you to migrate existing applications running in Microsoft Azure to the AWS cloud to take advantage of greater reliability, faster performance, more security capabilities, and lower costs.  

AWS CloudFormation Coverage Updates for Amazon EC2, Amazon ECS and Amazon Elastic Load Balancer

AWS CloudFormation provides a common language for you to describe and provision all the infrastructure resources in your cloud environment. It allows you to use a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts.

Amazon VPC Flow Logs can now be Delivered to S3 in the EU (Stockholm) and Asia Pacific (Osaka) AWS Regions

Amazon Virtual Private Cloud Flow Logs (VPC Flow Logs) can now be delivered directly to Amazon Simple Storage Service (S3) using the AWS Command Line Interface (CLI) or through your Amazon EC2 or VPC console, in the EU (Stockholm) and Asia Pacific (Osaka) AWS Regions. You can deliver VPC Flow Logs to both S3 and CloudWatch Logs.

Amazon Comprehend Now Supports Confusion Matrices for Custom Classification

Amazon Comprehend helps you solve a variety of use cases with custom classification. For example, you can build classifiers to organize your daily customer feedback into categories like “loyalty”, “sales” or “product defect”. Amazon Comprehend removes the complexity to create custom classification models, requiring only a CSV file with labels and example text.

A confusion matrix helps you understand how your labels are performing based on the training data you provided. For example, if you have two labels with similar training content, the custom classification model may not be able to clearly distinguish between these labels. Using the confusion matrix, you can focus on creating better training content, so each label is more distinct from the other.

Get started with Amazon Comprehend custom classification models here and learn more about how to use a confusion matrix as part of training your model here.

AWS ParallelCluster 2.3.1 with enhanced support for Slurm Workload Manager is available now

Customers using AWS ParallelCluster to set up their High Performance Computing (HPC) clusters can now take advantage of an optimized scaling algorithm designed for use with Slurm Workload Manager. Other enhancements in the new release of AWS ParallelCluster release include features to prevent cluster scale-up when job dependencies are not satisfied, and support for the latest version of Slurm Workload Manager (v18). The complete list of enhancement in AWS ParallelCluster 2.3.1 can be found here.

HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage HPC clusters on AWS. AWS ParallelCluster reduces the operational overhead of cluster management and simplifies running HPC workloads on AWS. AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications. Slurm is a free and open-source job scheduler for Linux and Unix-like kernels used by many of the world’s supercomputers and HPC clusters. Learn how to launch an HPC cluster using AWS ParallelCluster here.