Amazon Aurora is a fully managed relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In November 2016, we announced a limited preview of the PostgreSQL-compatible version. Since then, we’ve received valuable feedback from early adopters.
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Amazon EC2 F1 is a compute instance with field programmable gate arrays (FPGAs) that you can program to create custom hardware accelerations for your application. F1 instances are easy to program and come with everything you need to develop, simulate, debug, and compile your hardware acceleration code, including an FPGA Developer AMI and Hardware Developer Kit (HDK). Once your FPGA design is complete, you can register it as an Amazon FPGA Image (AFI), and deploy it to your F1 instance in just a few clicks. You can reuse your AFIs as many times, and across as many F1 instances as you like. You can offer AFIs you develop on the AWS Marketplace for other customers to purchase.
Amazon EC2 F1 instances are now available in two different instance sizes that include up to eight FPGAs per instance. F1 instances include the latest 16 nm Xilinx UltraScale Plus FPGA with local 64 GiB DDR4 ECC protected memory, with a dedicated PCI-e x16 connection to the instance. For F1.16xlarge instances, the dedicated PCI-e fabric lets the FPGAs share the same memory space and communicate with each other across the fabric at up to 12 GBps in each direction. The FPGAs within the F1.16xlarge share access to a 400 Gbps bidirectional ring for low-latency, high bandwidth communication.
F1 instances are available now with the following specifications:
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You can now access Amazon DynamoDB from your Amazon Virtual Private Cloud (VPC) using VPC endpoints, enabling you to have all network traffic between your application and DynamoDB traverse the public Internet or stay within the AWS cloud.
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Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. Now you can focus on building great applications for your customers without worrying about performance at scale. You do not need to modify application logic, since DAX is compatible with existing DynamoDB API calls. You can enable DAX with just a few clicks in the AWS Management Console or using the AWS SDK. Just as with DynamoDB, you only pay for the capacity you provision.
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AWS X-Ray is now available for all customers. AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.
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You can now develop your AWS Lambda functions using Python 3.6. This feature will become available in all AWS Lambda regions within 24 hours.
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You can now add tags to your AWS Lambda functions. Using tags, you can now add metadata to each of your functions. Each tag consists of a key and value. You can use these tags to allocate costs from your AWS bill to individual functions. There is no additional charge for tagging your Lambda functions.
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AWS Database Migration Service and AWS Schema Conversion Tool continue to simplify the migration of relational databases, NoSQL databases and data warehouses to the cloud. You can now convert your schemas, extract your data and migrate it from additional data warehouses to Amazon Redshift, a data warehouse designed for the cloud from the ground up.
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You can now use Caffe2 with the AWS Deep Learning AMI for Ubuntu, available on the AWS Marketplace. The addition of Caffe2, a project led by Facebook, allows developers another choice of deep learning frameworks on the AWS platform. To learn more about Caffe2, you can check out the GitHub repository.
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You can now use Caffe2 with the AWS Deep Learning AMI for Ubuntu, available on the AWS Marketplace. The addition of Caffe2, a project led by Facebook, allows developers another choice of deep learning frameworks on the AWS platform. To learn more about Caffe2, you can check out the GitHub repository.
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