We are happy to announce that we are lowering the price of Amazon RDS for SQL Server Enterprise Edition database instances in the Multi-AZ configuration, for both On-Demand and Reserved purchase types on the latest generation hardware.
Introducing AWS Purchase Order Management (Preview)
Starting today, customers can manage their AWS Purchase Orders (“POs”) within their AWS Billing Console, creating and defining invoices association rules, managing their PO status, and setting up PO balance notifications.
AWS Customers can now pay for their AWS Marketplace, AWS Data Exchange, AWS IQ, and Reserved Instance Marketplace invoices in 14 currencies
AWS Marketplace, AWS Data Exchange, AWS IQ, and EC2 Reserved Instances Marketplace now support invoice payments in 13 additional currencies, in addition to our existing support for US Dollars (USD). This will help relieve your accounting department of the burden of paying and tracking conversion fees and other costs associated with the use of foreign currencies.
Detect fraud faster using machine learning with Amazon Fraud Detector – now generally available
Amazon Fraud Detector is now generally available to all AWS customers. Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Amazon Fraud Detector uses machine learning (ML) and 20 years of fraud detection expertise from AWS and Amazon.com to automatically identify potentially fraudulent activity so you can catch more online fraud faster. Amazon Fraud Detector handles the heavy lifting of ML for you – in just a few clicks you can create a fraud detection model, with no prior machine learning experience required.
AWS Elemental MediaTailor supports video bumpers before and after ad breaks
AWS Elemental MediaTailor customers can now configure a video bumper at the beginning and/or the end of an ad break. Bumpers are commonly used to indicate a change from regular programming or ad breaks to viewers. Bumpers can also be used to meet requirements such as station identification announcements or viewer age recommendations.
Pausing entitlements now available in AWS Elemental MediaConnect
You can now pause the entitlement on an output of AWS Elemental MediaConnect when sharing live video between AWS accounts. This feature makes it easier to manage content sharing by allowing you to suspend and restart distribution of live video to your subscribers without having to delete and then reconfigure entitlement settings. To learn more about entitlements in MediaConnect, please read the user guide .
HTTP compression support now available in Amazon Elasticsearch Service
Amazon Elasticsearch Service now supports gzip compression for HTTP payloads. With HTTP compression, you can reduce the size of your documents by to up to 80%, lowering bandwidth utilization and latency, leading to improved transfer speeds.
AWS Site-to-Site VPN Now Supports Tagging Resources Upon Creation and Resource-Level Permissions
You can now tag your AWS Site-to-Site VPN connections, Virtual Private Gateways, and Customer Gateways upon creation. You can do this when creating these resources through the AWS Cloud Development Kit (CDK) or AWS Command Line Interface (CLI). By tagging resources at the time of creation, you can eliminate the need to run custom tagging scripts after resource creation. In addition, you can now set resource-level permissions when using Site-to-Site VPN APIs . This allows you to implement stronger security policies by giving you more granular control over who has access to these APIs. You can also enforce the use of tagging and control which tag keys and values are set on your resources.
Cosine Similarity support in Amazon Elasticsearch Service
Amazon Elasticsearch Service now supports cosine similarity distance metric with k-Nearest Neighbor (k-NN) to power your similarity search engine. Cosine similarity is used to measure similarities between two vectors, irrespective of their sizes and is most commonly used in information retrieval, image recognition, text similarity, bioinformatics and recommendation systems.
Amazon Elasticsearch Service now supports Learning to Rank to improve search relevancy ranking
Amazon Elasticsearch Service now supports the open source Learning to Rank plugin that lets you use machine learning technologies to improve the ranking of the top results returned from a baseline relevance query. With Learning to Rank (LTR) support, you can tune the search relevancy and re-rank your Elasticsearch query search results in information retrieval, personalization, sentiment analysis and recommendation systems.