AWS

Customers can now create file systems using Amazon Elastic File System (Amazon EFS) in the AWS Israel (Tel Aviv) Region.

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Amazon EMR Studio is an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug big data and analytics applications written in PySpark, Python, Scala, and R. EMR Studio provides fully managed Jupyterlab Notebooks and tools such as Spark UI and YARN Timeline Service to simplify debugging. Today, we are excited to announce that EMR Studio workspaces now supports applying fine-grained data access control with AWS Lake Formation when accessing data through EMR on EC2 clusters.

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Amazon Web Services (AWS) is announcing the general availability of notifications on the AWS Artifact console. You can now subscribe to notifications and create configurations to get notified when a new report or agreement, or a new version of an existing report or agreement becomes available on AWS Artifact. While creating a configuration, you can choose whether you need notifications on all reports and agreements or a subset of reports, and provide the email addresses of the individuals who would like to receive notifications. Once the recipient verifies their email address, they will start receiving email notifications as per the preferences selected within the configuration. To use notifications on AWS Artifact, you will also need to enable permissions to the AWS User Notifications service. 

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Starting today, customers can use AWS Service Catalog in the AWS Israel (Tel Aviv) Region to create, govern, and manage a catalog of Infrastructure as Code (IaC) templates that are approved for use on AWS. These IaC templates can include everything from virtual machine images, servers, software, and databases to complete multi-tier application architectures. AWS Service Catalog helps you centrally curate and share commonly deployed templates across teams to achieve consistent governance and meet compliance requirements. End users such as engineers, database administrators, and data scientists simply see the list of products and versions they have access to, and can deploy them in a single action.

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Amazon Interactive Video Service (Amazon IVS) now has the capability to deliver live streams with latency that can be under 300 millisecond from host to viewer, to an audience of up to 10,000 viewers.

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Starting today, you can build, train, and deploy machine learning (ML) models in Israel (Tel Aviv) Region.

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Amazon Connect now provides you the ability to configure routing profiles to exclude all outbound call activity from setting the order in which inbound contacts are assigned to agents. Contact center managers can use this configuration to ensure that agents maintain their position in line to receive inbound calls and do not move to the bottom of the list when honoring their outbound call commitments. As a result, agents will continue to meet their outbound call goals while also receiving a fair share of inbound contacts.

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You can now connect your Apache Kafka applications to Amazon MSK Serverless in the Asia Pacific (Seoul), Europe (Paris), and Europe (London) AWS Regions.

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AWS Security Hub has released 12 new security controls, increasing the overall number of controls Security Hub offers to 276. With these new controls, Security Hub now supports three additional AWS services: Amazon Athena, Amazon DocumentDB (with MongoDB compatibility), and Amazon Neptune. Security Hub has also added an additional control against Amazon Relational Database Service (Amazon RDS). For the full list of recently-released controls and the AWS Regions in which they are available, visit the Security Hub user guide.

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Amazon Web Services (AWS) announces the launch of primary IPv6 address in a Virtual Private Cloud (VPC), enabling customer to make the first IPv6 address associated with their elastic network interface (ENI) immutable. Once the first IPv6 address is made primary on the ENI, the IPv6 address cannot be removed as long as the ENI is attached to an instance or until the instance is terminated, effectively making the address immutable. The primary IPv6 address can be an Amazon provided IPv6 address or a Bring your own IP (IPv6) addresses.

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Amazon SageMaker training jobs now support ml.p5 instances, powered by NVIDIA H100 chips, which are purpose built for high-performance ML training applications in the cloud. You can use ml.p5 instances on SageMaker to train some of the most demanding models. This includes large language models (LLMs) and diffusion models powering the most demanding generative AI applications. These applications include question answering, code generation, video and image generation, and speech recognition.

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Amazon Aurora MySQL-Compatible and PostgreSQL-Compatible editions now supports automatic backups for deleted clusters. Customers can now choose to retain automatic backups when deleting an Aurora cluster, and later use it to restore a new cluster from it. 

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Starting today, you have the option to automatically set up connectivity between an Amazon Relational Database Services (Amazon RDS) or an Amazon Aurora database and an AWS Lambda function using an Amazon RDS Proxy. From the Amazon RDS console, you can choose an action to set up a connection between your Amazon RDS or Amazon Aurora database and a Lambda function using an existing Amazon RDS Proxy or using an auto-created, new Amazon RDS Proxy in your account. Amazon RDS automatically sets up your related network settings to enable a secure and scalable connection between the Lambda function and the Amazon RDS or Amazon Aurora database.

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Starting today, Amazon Virtual Private Cloud (VPC) customers can use AWS Transit Gateway Flow Logs in five additional AWS regions: Middle East (UAE), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), and Asia Pacific (Melbourne).

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AWS Thinkbox Deadline 10.3.0.9 is generally available with a DeadlineCommand application plugin, updated support for third-party integrations, and an upgrade to Python 3.10.

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Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are enabling language detection for real time document translation. Customers can now automatically detect the source document’s dominant language leveraging Amazon Comprehend’s language detection API.

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AWS Resilience Hub adds support for application resilience drift detection, allowing you to opt into notifications that your application is no longer meeting the recovery objectives set by your business. Resilience Hub provides a single place to define, validate, and track the resilience of your applications so that you can avoid unnecessary downtime caused by software, infrastructure, or operational disruptions.

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Today, Amazon SageMaker announces a new direct integration with Salesforce Data Cloud, allowing customers to securely access their data in Salesforce Data Cloud from SageMaker to build, train, and deploy ML models on SageMaker. Customers can then bring the ML models into Salesforce Data Cloud using Salesforce Einstein Studio to power their ML-driven business applications. 

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Starting today, the Amazon Relational Database Service (Amazon RDS) for SQL Server now supports secondary host metrics in Enhanced Monitoring. Customers can now view essential metrics associated on the secondary host of a Multi-AZ DB instance, such as free storage, free memory, Read/Write IOPS, Read/Write Throughput, CPU utilization, and etc. See OS metrics in Enhanced Monitoring for more details.

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You can now use Amazon Route 53 Resolver endpoints for hybrid cloud configurations in the Israel (Tel Aviv) Region.

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