The Amazon VPC Container Networking Interface (CNI) plugin version 1.1 is now available.

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with a custom build of TensorFlow 1.9 optimized for high performance training, the latest Apache MXNet 1.2 that includes several performance and usability improvements, the new Keras 2-MXNet backend with high performance multi-GPU training support, and the new MXBoard tool for improved debugging and visualization of MXNet training models.  

We are pleased to announce the launch of our two newest edge locations for Amazon Route 53 in Cape Town and Johannesburg, South Africa. Today’s launch represents the first physical presence of Route 53 on the African continent. The addition of these two locations brings the global network of Route 53 to 53 cities across 26 countries and six continents.

The expansion of Amazon Route 53 into South Africa further improves availability and performance for customers and end users in the region. We expect that two these new edge locations will help clients see improvements of as much as 75% in DNS query latency.

For more information and to get started with Amazon Route 53, visit the product page .

The Serverless Bot Framework is a solution that helps AWS customers implement chatbots in other languages without having to develop their own backend platforms that support language analysis and abstraction, and knowledge training. The solution integrates with managed services such as AWS Lambda, to apply machine learning algorithms, and Amazon Polly, to turn text into lifelike speech.

The solution deploys an Amazon API Gateway endpoint where customers can send requests, AWS Lambda functions that apply machine learning algorithms, Amazon Polly to turn text into lifelike speech, an Amazon DynamoDB table to store conversation logs and interaction context, and Amazon S3 buckets to store configuration files. The solution also includes a sample web application that you can use as a reference framework to create your own application that fits your business need. For more information, see the solution webpage.

The AWS Solutions team communicates AWS architectural best practices and develops standardized, automated solutions for the platform. Our offerings currently live on the AWS Answers webpage, where customers can browse common questions by category to find answers in the form of succinct Solution Briefs or comprehensive Solutions, which are AWS-vetted, automated, turnkey reference implementations that address specific business needs.

Starting today, copies of Amazon RDS database snapshots between AWS Regions for encrypted databases are incremental, allowing copies to complete faster and use less storage. Cross-region database snapshots can be used to create a robust disaster recovery for your RDS database instances. Previously, RDS snapshots of encrypted databases resulted in a full copy and required more snapshot storage. Incremental snapshots only capture the changes after your most recent backup was created. Now, you can copy incremental encrypted snapshots across Regions just like with unencrypted snapshots.

To copy your encrypted snapshot to a different AWS Region, simply select the destination region during the Copy Snapshot operation on the AWS Management Console or via the AWS Command Line Interface. You do not need to do anything differently to gain the benefits of incremental copies.

Data transfer and backup storage pricing is available on the RDS Pricing page .

For more details on copying a database snapshot across regions, please refer to the documentation on copying a DB snapshot in RDS . 

Starting today, you can view and edit files stored in Amazon WorkDocs using the Files app in iOS 11. Much like macOS Finder, the Files app gives you an easy way to browse, open, edit, move, rename, upload, create folders, share, and download files stored in WorkDocs with your iOS device. Files can be on your iOS device, or on AWS stored in Amazon WorkDocs. With Amazon WorkDocs iOS files integration, you can add files stored in Amazon WorkDocs to the Files app and access them from a single location on all of your iOS devices. You can also edit files from the Files app directly in an associated application and changes will automatically be saved in Amazon WorkDocs. The new Files app file management experience makes it easy for customers to access their content in Amazon WorkDocs from any iOS device.

The Amazon WorkDocs iOS application should be installed on your device for iOS files integration to work. To get started, in the Files app in your iOS device Tap Locations and Edit. Slide to turn on WorkDocs. Tap Done. Tap WorkDocs and browse your files in the Files app. The Files app on iPhone and iPad makes it easy for you to access content from your device along with all your cloud-based file services, including WorkDocs in one place.

The feature is offered to customers at no additional cost for all Amazon WorkDocs users and is available in all AWS regions WorkDocs is in. To learn more about Amazon WorkDocs, or to start your 30-day trial, please visit Amazon WorkDocs .  

Details: Amazon CloudFront announces nine new Edge locations, adding to our presence in major cities globally. Five new Edge locations are being added in North America: Los Angeles, California; San Jose, California; Newark, New Jersey; Dallas/Fort Worth, Texas; and Miami, Florida. Three new Edge locations are being added in Europe, with two in London, England and one in Frankfurt, Germany. And in Asia, one Edge location is being added in Tokyo, Japan, our ninth in the city.

With this release, CloudFront will increase its request processing capacity by 40%, on average, in the five North American cities and the two cities in Europe.

These additional Edge locations will add to CloudFront’s existing global presence and will enhance delivery, performance, and scale for our customers. A full list of CloudFront’s global locations is available on the CloudFront Details webpage.

AWS IoT Core and AWS IoT Device Management are now HIPAA Eligible Services and have been added to the AWS Business Associate Addendum (BAA).

The Serverless Bot Framework is a solution that helps AWS customers implement chatbots in other languages without having to develop their own backend platforms that support language analysis and abstraction, and knowledge training. The solution integrates with managed services such as AWS Lambda, to apply machine learning algorithms, and Amazon Polly, to turn text into lifelike speech.

The solution deploys an Amazon API Gateway endpoint where customers can send requests, AWS Lambda functions that apply machine learning algorithms, Amazon Polly to turn text into lifelike speech, an Amazon DynamoDB table to store conversation logs and interaction context, and Amazon S3 buckets to store configuration files. The solution also includes a sample web application that you can use as a reference framework to create your own application that fits your business need. For more information, see the solution webpage.

The AWS Solutions team communicates AWS architectural best practices and develops standardized, automated solutions for the platform. Our offerings currently live on the AWS Answers webpage, where customers can browse common questions by category to find answers in the form of succinct Solution Briefs or comprehensive Solutions, which are AWS-vetted, automated, turnkey reference implementations that address specific business needs.

Application Load Balancer now supports two new actions: redirect and fixed-response. You can configure these actions as part of the content-based routing rules, enabling you to offload this functionality to the load balancer. This simplifies deployments while benefiting from the scale, the availability, and the reliability of Elastic Load Balancing.

With redirect actions, the load balancer can redirect incoming requests from one URL to another URL. This includes the capability to redirect HTTP requests to HTTPS requests, which allows you to meet your compliance goal of secure browsing, achieve better search ranking and high SSL/TLS score for your site. You can also use redirects to send users to a different web site such as redirecting from an old version of an application to a new version.

With fixed-response actions, you can control which client requests are served by your applications. This enables you to respond to incoming requests with HTTP error response codes and custom error messages from the load balancer itself, without forwarding the request to the application.

By using both redirect and fixed-response actions in your Application Load Balancer, you can improve the customer experience and the security of your user requests. To learn more about these features, visit the Elastic Load Balancing demo page .

Redirect and fixed-response actions are available for your Application Load Balancer in all AWS regions. To learn more, visit the Elastic Load Balancing documentation page .