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You can now develop your AWS Lambda function code using Go. Lambda lets you run code without provisioning and managing servers. You simply upload your Go executable artifact as a ZIP file through the AWS CLI or Lambda console and select the go1.x runtime. With Lambda, you can use Go’s native tools to build and package your code. Read our documentation for more details.
This new Quick Start automatically creates a secure deployment of IBM WebSphere Liberty into a customizable environment on the Amazon Web Services (AWS) Cloud in about 40 minutes.
AWS Glue now provides customers more control over ETL jobs by supporting additional trigger conditions.
Starting today, Amazon RDS Read Replicas for MySQL and MariaDB now support Multi-AZ deployments. Combining Read Replicas with Multi-AZ enables you to build a resilient disaster recovery strategy and simplify your database engine upgrade process.
Amazon Inspector has released an enhancement to the Inspector Agent that will allow it to perform assessments for Common Vulnerabilities and Exposures (CVE), Center for Internet Security (CIS) Benchmarks, and AWS Security Best Practices on supported operating systems, regardless of the kernel version installed. Prior to this release, the Inspector Agent was dependent on an internal kernel module that supported specific Linux OS kernel versions. The Inspector Agent could not be installed or used to run any security assessments for supported Linux operating systems that were using non-default, older, or custom kernels. With this update, you can use any kernel and run those assessments.
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.
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.
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 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.