Starting today, AWS Batch is available in South America (São Paulo) AWS Region. In addition, customers can start using the AWS Batch console to run jobs on August 1st.
New AWS Greengrass Version Deploys Executable Code Written in C, C++, and Other Languages That Import C Libraries, and More
AWS Greengrass now allows you to deploy executables written in C, C++ and any other language that supports importing of C libraries. Executable code has the benefits of greater legacy support as customers can more easily re-use code that is already written in C or C++, minimal resource footprint as no language interpreter is required, and an absolute minimum of compute latency for very high-performance use cases such as computer vision or algorithmic trading. Starting today, your executable code acts much like an AWS Lambda function, can be invoked by events or invoke other Lambdas, and can take advantage of other Greengrass functionality such as Local Resource Access. You can mix and match executable code together with Lambda functions written in interpreted languages such as Python or Node.js.
Amazon Redshift now provides customized best practice recommendations with Advisor
Amazon Redshift announces Advisor, a new feature that provides automated recommendations to help you optimize database performance and decrease operating costs. Advisor is available via the Amazon Redshift console at no charge.
Amazon VPC CNI Plugin Version 1.1
The Amazon VPC Container Networking Interface (CNI) plugin version 1.1 is now available.
New in AWS Deep Learning AMIs: Optimized TensorFlow 1.9, Apache MXNet 1.2 with Keras 2, and More
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.
Amazon Route 53 Expands Into Africa With New Edge Locations in Cape Town and Johannesburg
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 .
Copying Amazon RDS Encrypted Snapshots across Regions now Completes Faster with Less Storage
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 .
Introducing the Serverless Bot Framework
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.
Amazon WorkDocs iOS Files Integration
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 .
Amazon CloudFront announces nine new Edge locations globally across major cities in North America, Europe, and Asia
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.