You can now log your Amazon SageMaker API calls with AWS CloudTrail.
from What's New (Thursday) http://ift.tt/2mkOCjz
You can now log your Amazon SageMaker API calls with AWS CloudTrail.
AWS Shield Advanced and AWS WAF have expanded their regional footprint to the Asia Pacific (Sydney) and EU (Frankfurt) Regions, making them available in 7 AWS Regions, and Amazon CloudFront.
AWS Batch now supports AWS CloudTrail audit calls to Batch APIs. AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With AWS CloudTrail, customers can now audit calls to AWS Batch APIs, making it easier to ensure compliance with internal policies and regulatory standards.
Now, you can use the AWS Identity and Access Management (IAM) console in Korean. The IAM console is also available in English, French, Japanese, and Chinese.
AWS X-Ray SDK for Ruby enables developers to record and emit information from within their applications to the AWS X-Ray service. You can get started in minutes using the repository on Github.
Amazon Rekognition is a deep learning-based service that makes it easy to add image and video analysis to your applications. Rekognition Image API allows you to detect objects, scenes, faces and inappropriate content; extract text; recognize celebrities; and search and compare faces, in images. Rekognition Video API for the AWS US-East (Ohio) region allows you to track people; detect objects, scenes, activities and inappropriate content; recognize celebrities; and search faces, in videos stored in Amazon S3.
You can now use the DeepAR forecasting algorithm for model training in Amazon SageMaker.
Amazon CloudFront announces six new Edge Locations that are now part of its global network. These six new Edge Locations are located in the following cities:
Perth, Australia; Chennai, India; Rio De Janeiro, Brazil; Los Angeles, California; and two additional Edge Locations in Tokyo, Japan.
Starting today, you can launch MariaDB version 10.2 instances on Amazon RDS. You can also easily upgrade your existing Amazon RDS for MariaDB database instances from version 10.1 to 10.2.11.
Today, Amazon WorkSpaces is making two new features available. First, you can now configure how much storage your WorkSpaces get when you launch them, and increase the storage for a running WorkSpace at any time. Second, you can now change the hardware bundle that your WorkSpace is running on with a simple reboot. All of your applications, data, and storage stay the same, but now you can move to a more powerful bundle to support resource-intensive applications, or move to a less powerful bundle to save costs. With these features, Amazon WorkSpaces now provides additional flexibility to support the diverse needs of end users, while still helping you optimize your costs.
The Amazon Elastic Container Service (Amazon ECS) service scheduler now allows you to define a grace period to prevent premature shutdown of newly instantiated tasks.
The PostgreSQL-compatible edition of Amazon Aurora is now available in the AWS EU (Paris) region. This increases the number of available regions to nine, giving you more options for database placement, availability, and scalability.
The AWS Support Center has been redesigned to help resolve your AWS support questions faster and to proactively alert you to potential issues through a convenient integration of information, tools and resources.
You can now use Apache Spark 2.2.1, Apache Hive 2.3.2, and Amazon SageMaker integration with Apache Spark on Amazon EMR release 5.11.0. Spark 2.2.1 and Hive 2.3.2 include various bug fixes and improvements. Amazon SageMaker Spark is an open-source Spark library for Amazon SageMaker, a fully-managed service which can build, train, and deploy machine learning models at scale. It enables you to interleave Spark stages and stages that interact with Amazon SageMaker in your Spark ML Pipelines, allowing you to train models using Spark DataFrames in Amazon SageMaker with Amazon-provided ML algorithms like K-Means clustering or XGBoost.
The Amazon Elastic Container Service (Amazon ECS) service scheduler now includes logic that throttles how often tasks are restarted if they repeatedly fail to launch.
Today AWS Direct Connect has landed sites in two new cities – Minneapolis, MN and Bangalore, India. With global access enabled for AWS Direct Connect, these sites can reach AWS resources in any global AWS region. In the US, Cologix MIN3, Minneapolis brings the total AWS Direct Connect sites in the country to 30. In the AWS Management Console, Minneapolis will be found under its home region of US East (Ohio). In India, NetMagic DC2, Bangalore, is the third city for AWS Direct Connect after Mumbai and Chennai, and will be found in the console under Asia Pacific (Mumbai) region.
Amazon Redshift now uses late materialization to reduce the amount of data scanned and improve performance for queries with predicate filters.
AWS Glue is now available in the Asia Pacific (Tokyo) AWS Region, marking its first availability in Asia Pacific.
Starting today, Lambda@Edge enables you to customize error responses from your origin, by allowing you to execute Lambda functions in response to HTTP errors that Amazon CloudFront receives from your origin. This means Lambda@Edge functions associated with Amazon CloudFront origin response event will now be invoked for 4XX and 5XX error status codes, in addition to the currently supported 2XX (success) and 3XX (redirection) status codes.
You can now configure your Amazon Kinesis Data Analytics applications to send real-time analytics to AWS Lambda. Based on the processed data from Kinesis Data Analytics, your AWS Lambda functions can take actions such as update an Amazon DynamoDB or Amazon Aurora database, send real-time alerts using Amazon SNS or Amazon SQS, or invoke your own custom API.