AWS

AWS Fargate is now available in the Asia Pacific (Jakarta) Region.

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AWS AppSync is a managed GraphQL service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. Today, we are happy to announce that AppSync now supports eviction of specific entries from AppSync’s built-in server-side cache.

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Amazon Kendra is an intelligent search service powered by machine learning. Today, we are excited to announce Kendra’s support for query language, allowing customers to use more advanced search terminology and techniques when needed, to retrieve more precise answers.

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Today AWS announced the ability to launch Microsoft Windows Server instances up to 65% faster on Amazon Elastic Compute Cloud (EC2). Customers can flag any Amazon Machine Image (AMI) running Microsoft Windows Server to launch faster. Once flagged, every instance launched from the AMI will automatically launch faster.

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You can now use Amazon Redshift Spectrum to specify custom data validation rules for your external tables when querying the Amazon S3 data lake. This enhancement allows you to control how Redshift Spectrum processes data containing unexpected values such as unsupported UTF-8 characters or numeric overflow in your external tables.

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AWS Launch Wizard now creates an AWS Service Catalog product when the SQL Server deployment is complete. You can then use the AWS Service Catalog product for repeated SQL Server deployments on EC2. This feature simplifies your subsequent SQL Server deployments, saves time by reusing associated configuration scripts, and makes the integration with your existing DevOps tools easier.

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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 R, Python, Scala, and PySpark. Today, we are excited to introduce SQL Explorer, a feature in your EMR Studio Workspace that allows you to browse the data catalog and run SQL queries on EMR clusters from EMR Studio. This release of SQL Explorer in EMR Studio supports running SQL queries on Amazon EMR on EC2 clusters running Presto version 0.254.1 or higher. 

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Amazon Web Services (AWS) announces general availability of Amazon EC2 Hpc6a instances. These instances are optimized to efficiently run compute-intensive, high performance computing workloads, such as computational fluid dynamics, reservoir modeling, weather simulations, and finite element analysis. Hpc6a instances offer up to 65% better price performance over comparable Amazon EC2 x86 based, compute-optimized instances. With Hpc6a instances, you can significantly lower the cost of your HPC workloads, while taking advantage of the elasticity and scalability of AWS.

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The AWS Toolkit for JetBrains now provides developers with convenient IDE functionality to connect to Amazon ECS containers and issue commands using Amazon ECS Exec. This allows developers to directly interact with containers, such as running commands in or get a shell to an ECS container running on an Amazon EC2 instance or on AWS Fargate, without leaving their IDE. ECS Exec uses the AWS Systems Manager (SSM) Session Manager under the hood to establish a connection with the running container.

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Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex now supports Amazon Virtual Private Cloud (VPC) endpoints via AWS PrivateLink so you can securely initiate calls to Amazon Lex V2 APIs from within your VPC and without using public IPs or exposing your traffic to public internet. AWS PrivateLink provides private connectivity between VPCs and AWS services, without ever leaving the Amazon network, significantly simplifying your internal network architecture.

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Amazon Simple Notification Service (Amazon SNS) now supports Attribute-based access control (ABAC) for API actions including Publish and PublishBatch. ABAC is an authorization strategy that defines access permissions based on tags which can be attached to IAM resources, such as IAM users and roles, and to AWS resources, like Amazon SNS topics, to simplify permission management.

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Today, AWS Compute Optimizer launches a new capability that makes it easier for customers to optimize their EC2 instances by leveraging multiple CPU architectures.

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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 R, Python, Scala, and PySpark. Today we are excited to announce that data scientists, engineers, and analysts can collaborate in real-time across teams using EMR Studio.

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Following the announcement of updates in MySQL database versions 5.7 and 8.0, we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.36, and 8.0.27. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about upgrading your database instances in the Amazon RDS User Guide, and create or update a fully managed Amazon RDS database using the latest available minor versions in the Amazon RDS Management Console.

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Amazon SageMaker Feature Store is announcing a new enhancement, a connector for Apache Spark that makes batch data ingestion easier for customers. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) model features. There are various ways to ingest data into SageMaker Feature Store including the PutRecord API, SageMaker Python SDK’s FeatureGroup.ingest functionality and SageMaker Processing Job.

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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 R, Python, Scala, and PySpark. With EMR Studio, you get fully managed notebooks based on JupyterLab. JupyterLab is the next-generation web-based user interface for open source Project Jupyter. Today, we are excited to announce that EMR Studio is now upgraded to JupyterLab v3.1.4, providing an enhanced user experience and new usability features.

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AWS Firewall Manager now enables you to centrally deploy AWS Shield Advanced automatic application layer (L7) DDoS protections across accounts in your organization. AWS Shield Advanced automatic L7 DDoS protections block application layer DDoS events with no manual intervention needed. With this launch, security administrators for AWS Firewall Manager can now enable automatic L7 DDoS protections across accounts using the Firewall Manager security policy for AWS Shield Advanced.

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Amazon RDS for SQL Server now supports SQL Server Analysis Services (SSAS) in Multidimensional mode. There is no additional cost to install SSAS directly on your Amazon RDS for SQL Server DB instance.

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Starting today, the compute-optimized Amazon EC2 C6g instances are now available in Middle East (Bahrain) region. The C6g instances are ideal for compute-intensive applications such as high performance computing, video encoding, gaming, and CPU-based machine learning inference acceleration. Additionally, memory-optimized Amazon EC2 R6gd instances with local NVMe-based SSD storage are available in Asia Pacific (Mumbai), Canada (Central), and Europe (Paris). R6gd instances deliver up to 50% more NVMe storage GB/vCPU over comparable x86-based instances, and are ideal for applications that need access to high-speed, low latency storage, as well as for temporary storage of data such as batch and log processing, and for high-speed caches and scratch files. The Amazon EC2 C6g and R6gd instances are powered by AWS Graviton2 processors and deliver best price performance in EC2.

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Starting today, Amazon EC2 M6a instances are available in are available in the Asia Pacific (Mumbai) region. Designed to provide a balance of compute, memory, storage and network resources, M6a instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. These instances are SAP-Certified and are ideal for workloads such as web and application servers, back-end servers supporting enterprise applications (e.g. Microsoft Exchange Server and SharePoint Server, SAP Business Suite, MySQL, Microsoft SQL Server, and PostgreSQL databases), web servers, micro-services, multi-player gaming servers, caching fleets, as well as for application development environments.

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