AWS DataSync is an online data transfer service that makes it easy for you to automate movement of data between on-premises storage and Amazon S3 or Amazon Elastic File System (Amazon EFS). DataSync uses a purpose-built protocol to accelerate and secure data transfer over the Internet or AWS Direct Connect, at speeds up to 10 times faster than open-source tools.
Amazon S3 Introduces S3 Batch Operations (Preview) for Object Management
S3 Batch Operations is a new feature that makes it simple for customers to manage billions of objects stored in Amazon S3, with a single API request or a few clicks in the S3 Management Console. Now, all AWS customers can make changes to object properties and metadata, and perform other storage management tasks – such as copying objects between buckets, replacing tag sets, modifying access controls, and restoring archived objects from Amazon S3 Glacier – for any number of S3 objects in minutes instead of months.
AWS Snowball Edge Compute Optimized Is Now Generally Available
AWS Snowball Edge Compute Optimized will be shipping to customers the week of December 10th in the US East (Virginia), US West (Oregon), US West (Northern California), GovCloud (US-West), and EU (Ireland) AWS Regions.
Introducing AWS Transfer for SFTP, a Fully Managed SFTP Service for Amazon S3
AWS Transfer for SFTP enables you to easily move your file transfer workloads that use the Secure Shell File Transfer Protocol (SFTP) to AWS without needing to modify your applications or manage any SFTP servers.
Coming soon – Amazon EFS Infrequent Access Storage Class
Amazon EFS Infrequent Access (EFS IA) is a new storage class for Amazon EFS that is cost-optimized for files that are accessed less frequently.
Introducing the AWS Amplify Console
The AWS Amplify Console is a continuous deployment and hosting service for modern web applications with serverless backends. Modern web applications include single page app frameworks like React, Angular, and Vue, and static-site generators like Jekyll, Hugo, and Gatsby.
Introducing Amazon EC2 A1 Instances Powered By New Arm-based AWS Graviton Processors
Amazon EC2 A1 instances deliver significant cost savings and are ideally suited for scale-out and Arm-based workloads that are supported by the extensive Arm ecosystem. A1 instances are the first EC2 instances powered by AWS Graviton Processors that feature 64-bit Arm Neoverse cores and custom silicon designed by AWS.
Introducing AWS Global Accelerator
Today, we are excited to announce AWS Global Accelerator, a network layer service that you can deploy in front of your internet applications to improve the availability and performance for your globally-distributed user base. AWS Global Accelerator uses AWS’ vast, highly available and congestion-free global network to direct internet traffic from your users to your applications running in AWS Regions. With AWS Global Accelerator, your users are directed to your application based on geographic location, application health, and routing policies that you can configure. AWS Global Accelerator also allocates static anycast IP addresses that are globally unique for your application and do not change, thus removing the need to update clients as your application scales.
Introducing Amazon EC2 C5n Instances Featuring 100 Gbps of Network Bandwidth
Amazon Web Services (AWS) announces the availability of C5n instances that can utilize up to 100 Gbps of network bandwidth. C5n instances offer significantly higher network performance across all instance sizes, ranging from 25 Gbps of peak bandwidth on smaller instance sizes to 100 Gbps of network bandwidth on the largest instance size. In addition, C5n instances also feature 33% higher memory footprint compared to C5 instances. C5n instances are ideal for applications that can take advantage of improved network throughput and packet rate performance.
Introducing Dynamic Training for Deep Learning
Dynamic Training is an open-source deep learning project that allows you to reduce model training cost and time by leveraging the cloud’s elasticity and scale. The first reference implementation of Dynamic Training is based on Apache MXNet, and is open sourced under Dynamic Training with Apache MXNet .