AWS

AWS Outposts rack can now be shipped and installed at your data center and on-premises locations in Kazakhstan and Serbia.

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Today, we are happy to announce the public preview of AWS DataSync Discovery. You can use DataSync Discovery to gain visibility into your on-premises storage performance and utilization, and receive automated recommendations to help simplify and accelerate your data migration to AWS. This new feature of AWS DataSync enables you to better understand your on-premises storage usage through automated data collection and analysis, quickly identify data to migrate, and evaluate recommended AWS Storage services for your data, such as Amazon FSx for NetApp ONTAP, Amazon FSx for Windows File Server, and Amazon Elastic File System (EFS).

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AWS IoT SiteWise now supports definition of asset measurement units at the asset level, enabling customers to use a single asset model for machines reporting measurements in different units.

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Amazon EMR Studio is an integrated development environment (IDE) that makes it simple for data scientists and data engineers to develop, visualize, and debug big data and analytics applications written in R, Python, Scala, and PySpark.

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Amazon S3 on Outposts now supports versioning, helping you to locally preserve, retrieve, and restore each version of every object stored in your buckets. Versioning objects makes it easier to recover from both unintended user actions and application failures. After you enable versioning for your S3 on Outposts bucket, all variants of an object are stored in the same bucket, and are distinguishable by a versionId.

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Today, we’re pleased to announce that Amazon SageMaker Autopilot has added a new training mode that supports model ensembling powered by AutoGluon. For moderately large datasets (< 100MB), ensemble training mode builds machine learning (ML) models with high accuracy quickly – up to 8x faster than the current hyper parameter optimization (HPO) training mode with 250 trials. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best ML models based on your data, while allowing you to maintain full control and visibility. The current HPO mode uses a combination of hyper parameter values to maximize the accuracy of a single model. However, in cases when a single model is unable to capture the complex characteristics of data, combining (or ensembling) the predictions from diverse models can significantly improve overall model accuracy. 

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AWS Elastic Disaster Recovery (AWS DRS) is now available in the Asia Pacific (Jakarta) Region.

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AWS IoT Device Management Secure Tunneling now provides support for multiple simultaneous TCP connections, unlocking new use cases for advanced troubleshooting on remote devices. Secure Tunneling allows customers to establish bidirectional communication to remote devices using SSH, VNC or RDP. Now with multiple simultaneous TCP connections, customers can establish tunnels to access HTTP-based applications that typically make several connections for assets like images, javascript, and css. For example, you can now remotely access a web application that is running on a device to gain real-time telemetry or perform administrative tasks in a web-based GUI.

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Amazon Corretto 19 is now generally available. This version supports the latest OpenJDK feature release and is available on Linux, Windows, and macOS. You can download Corretto 19 from our downloads page.

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AWS Elemental MediaConnect now supports Secure Reliable Transport (SRT) caller mode for both sources and outputs in MediaConnect flows. SRT caller mode provides greater flexibility when configuring video transport workflows using MediaConnect.

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Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning is now integrated with the SageMaker Search API, which lets you quickly find and evaluate the most relevant model tuning jobs from potentially hundreds or thousands of them.

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Today, we are excited to announce the general availability of local clusters for Amazon Elastic Kubernetes Service (EKS) on Outposts, which enable you to run highly available Kubernetes clusters in on-premises environments.

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Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of Hiujin, Amazon Polly’s first Cantonese speaking, neural text to speech (NTTS) voice

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Amazon Redshift customers use the system table/views (STL/SVL) to get insight into query executions for their performance and auditing needs. These system table/views are powered by system logs and generated by Amazon Redshift cluster. Amazon Redshift enhances the system log durability and now allows the users to fetch up to seven days of system log data irrespective of instance type, cluster size and workload on the cluster. The system logs are now also persisted across the pause and resume of your cluster.

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Today, AWS CloudTrail Lake announces the ability to import CloudTrail event logs from an Amazon Simple Storage Service (Amazon S3) bucket to CloudTrail Lake. You can bring your existing CloudTrail logs into an existing or new CloudTrail Lake event data store. This lets you consolidate historical CloudTrail event logs with new CloudTrail events collected in CloudTrail Lake into a single event data store in CloudTrail Lake. Once you have created your consolidated event data store in CloudTrail Lake, you can use it to run queries on all your logs, including events brought over from your trails. 

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If you deliver experiences with immersive audio and high dynamic range (HDR) video, you can now use AWS Elemental MediaLive to encode Dolby Atmos and Dolby Vision in your channel.

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Amazon Simple Notification Service (Amazon SNS) now supports message signature based on SHA256 hashing, which provides security improvements over SHA1. To choose the hashing algorithm, either SHA256 or SHA1, you can use the SetTopicAttributes API action. Amazon SNS signs the messages delivered from your topic, so that the subscribed HTTP endpoints can verify the authenticity of the messages.

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Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports Amazon RDS for SQLServer running on major versions 2014 and later. Using Amazon RDS Proxy, customers can make applications more scalable, more resilient to database failures, and more secure.

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We are excited to announce that Amazon EMR on EKS release 6.7.0 and onwards includes the ability to run Apache Spark SQL scripts through the StartJobRun API. Spark SQL is a Spark module for structured data processing. Unlike the Spark DataFrame API, Spark SQL interfaces provide Spark with more information about the structure of both the data and computation being performed. Internally, Spark SQL uses this extra information to perform additional optimizations. With this release, you can run Spark SQL queries and Spark SQL-based ETL pipelines directly through Amazon EMR on EKS’ StartJobRun API.

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Today, AWS Systems Manager Quick Setup announces support for installing and periodically updating the CloudWatch Agent. With this new launch, you can now easily deploy and keep up to date the CloudWatch Agent in instances across accounts and Regions at scale with a few clicks.

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