Tag: SysAdmin

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports linked servers to Teradata databases. Linked server is a SQL Server feature that enables customers to read data and execute commands on remote database servers outside of the SQL Server instance. With this launch, customers can link their RDS for SQL Server instance to a Teradata database running on AWS or on premises. To start setting up a linked server for Teradata, add the ODBC_TERADATA option to your RDS for SQL Server instance's Option Group. Amazon RDS automatically installs and configures the Teradata ODBC driver, enabling you to run distributed queries, and execute SQL commands on your Teradata database from your RDS for SQL Server instance. Linked servers on RDS support distributed transactions through Microsoft Distributed Transaction Coordinator (MSDTC) and use TLS (Transport Layer Security) encryption for secure connecti

Amazon Keyspaces (for Apache Cassandra) has expanded its Multi-Region Replication capabilities, now enabling you to replicate your tables beyond the previous quota of six AWS Regions to all available AWS Regions. This enhancement to the existing multi-Region Replication provides even greater flexibility for organizations requiring broader global presence and data distribution. Customers can now automatically replicate their data across any number of AWS Regions supported within Amazon Keyspaces. With multi-Region replication, Amazon Keyspaces asynchronously replicates data between Regions, and data is typically propagated across Regions within a second. The expanded regional support helps you to better serve your global user base, meet regional compliance requirements, and implement more robust disaster recovery strategies. Getting started is easy through the AWS Management Console, AWS CLI, o

Amazon DataZone is now available in 2 additional commercial regions: Asia Pacific (Mumbai) and Europe (Paris). Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. With Amazon DataZone, data producers populate the business data catalog with structured data assets from AWS Glue Data Catalog and Amazon Redshift tables. Data consumers search and subscribe to data assets in the data catalog and share with other business use case collaborators. Consumers can analyze their subscribed data assets with tools—such as Amazon Redshift or Amazon Athena query editors—that are directly accessed from the Amazon DataZone portal. The integrated publishing-and-subscription workflow provides access-auditing capabilities across projects. For more information on AWS Regions where Amazon DataZone is available in preview, see

Amazon OpenSearch Service introduces two new instances- OR2 and OM2, expanding the OpenSearch Optimized Instance family. The new generation OR2 instance delivers up to 26% higher indexing throughput compared to previous OR1 instances and 70% over R7g instances. The new OM2 instance delivers up to 15% higher indexing throughput compared to OR1 instances and 66% over M7g instances in internal benchmarks. The new generation OpenSearch Optimized instances use the same architecture as the OR1 instances, leveraging best-in-class cloud technologies like Amazon S3, to provide high durability, and improved price-performance for higher indexing throughput better for indexing heavy workload. Each OpenSearch Optimized instance is provisioned with compute, local instance storage for caching, and remote Amazon S3-based managed storage. OR2 and OM2 offers pay-as-you-go pricing and reserved instances, with a simple hourly rate for the instance, local instance storage, as well as the manage

Amazon EventBridge Scheduler now supports AWS PrivateLink, providing you access to Scheduler from within your Amazon Virtual Private Cloud (VPC) without using the public internet. This feature eliminates the need for an internet gateway, firewall rules, or proxy servers when accessing EventBridge Scheduler from a private subnet. With Amazon EventBridge Scheduler, you can create billions of scheduled events and tasks that run across more than 270 AWS services, without provisioning or managing infrastructure. You can set up one-time schedules for specific dates and times, or create recurring schedules using cron and rate expressions, with support for time zones and daylight savings. With AWS PrivateLink support in EventBridge Scheduler, you can reduce the infrastructure required to create and manage your schedules when making API calls to Scheduler from within your VPC. AWS PrivateLink support for Even

Amazon RDS for MySQL now supports MySQL Innovation Release 9.2 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.2 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MySQL 9.2 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next major & minor release, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the

The next generation of Amazon SageMaker is now available in two additional AWS Regions: Asia Pacific (Mumbai), and Europe (Paris). Amazon SageMaker is the center for all your data, analytics, and AI. Users can access all their data and tools from Amazon SageMaker Unified Studio, a single data and AI development environment that brings together the functionality and tools from existing AWS Analytics and AI/ML services, including Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Bedrock, and Amazon SageMaker AI. Unified access to data is provided by Amazon SageMaker Lakehouse, and catalog and governance features are available via SageMaker Catalog (built on Amazon DataZone) to help you meet enterprise security requirements. For more information on AWS Regions where the next generation of Amazon SageMaker is available, see supported region

Amazon Redshift announces the general availability of Query Editor V2 with Amazon Redshift in the AWS Mexico (Central) and Asia Pacific (Thailand) regions. Amazon Redshift Query Editor V2 makes data in your Amazon Redshift data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers. With Query Editor V2, users can explore, analyze, and collaborate on data. It reduces the operational costs of managing query tools by providing a web-based application that allows you to focus on exploring your data without managing your infrastructure. The Amazon Redshift Query Editor V2 is a separate web-based SQL client application that you use to author and run queries on your Amazon Redshift data warehouse. You can use it to edit and run queries, visualize results, and share your work with your team. With Amazon Redshift Query Editor V2, you can create databases, schemas, tables, and user-defined functions

Today, AWS announces the general availability of the scenarios capability of Amazon Q in QuickSight. Amazon Q guides you through data analysis by uncovering hidden trends, making recommendations for your business, and intelligently suggesting next steps for deeper exploration—all in response to natural language interactions. Now anyone can explore past trends, forecast future scenarios, and model solutions without needing specialized skill, analyst support, or manual manipulation of data in spreadsheets. With its intuitive interface and step-by-step guidance, the scenarios capability of Amazon Q in QuickSight helps users perform complex data analysis up to 10x faster than spreadsheets. Whether you're optimizing marketing budgets, streamlining supply chains, or analyzing investments, Amazon Q makes advanced data analysis accessible so you can make data-driven decisions across your organization. This capability is accessible from any Amazon QuickSight dashboard, so you

Starting today, AWS Elemental MediaConnect will support NDI® (Network Device Interface) outputs from MediaConnect flows. NDI is a high-quality and low-latency video connectivity technology, widely used in live production applications and supported by more than 500 hardware products and 300 software applications. At launch, the MediaConnect support for NDI allows you to take an incoming transport stream source encoded as AVC or HEVC up to 1080p at 60FPS and output it as NDI High Bandwidth to a VPC. NDI enabled flows can simultaneously output NDI as well as transport stream-based outputs. NDI outputs will use the field-proven SpeedHQ codec and allow you to configure the quality between 100% and 200%. With NDI outputs, the process of connecting on-premises sources such as cameras for use in live cloud production is simpler to deploy, more scalable, and cost-effective using a pay-as-you-go pricing model. NDI support is available in all regions where MediaConnect is cu