10/8/2024, 12:00:00 AM ~ 10/9/2024, 12:00:00 AM (UTC)

Recent Announcements

Announcing Amazon ElastiCache for Valkey

Today, Amazon ElastiCache announces support for Valkey with Serverless priced 33% lower and node-based priced 20% lower than other supported engines. With ElastiCache Serverless for Valkey, customers can create a cache in under a minute and get started as low as $6/month. Valkey is an open source, high performance, key-value datastore stewarded by Linux Foundation. It is a drop in replacement of Redis OSS, backed by 40+ companies with rapid adoption since project inception in March 2024.\n Hundreds of thousands of customers use ElastiCache to improve their database and application performance and optimize costs. ElastiCache for Valkey provides a fully managed experience built on open-source technology while leveraging the security, operational excellence, 99.99% availability, and reliability from AWS. It is ideal for use cases such as caching, leaderboards, and session stores. To lower costs, ElastiCache Serverless for Valkey minimum data storage is 100MB, 90% lower than ElastiCache Serverless for Redis OSS. If you are using ElastiCache reserved nodes, when you switch from ElastiCache for Redis OSS to ElastiCache for Valkey, you retain your existing discounted reserved node rates across all node sizes within the same family. ElastiCache for Valkey is now available in all AWS regions. You can upgrade from ElastiCache for Redis OSS to ElastiCache for Valkey in a few clicks with zero downtime. You can get started using the AWS Management Console, Software Development Kit (SDK), or Command Line Interface (CLI). For more information, please visit the ElastiCache features page, getting started blog, and documentation.

Announcing Amazon MemoryDB for Valkey

Today, Amazon MemoryDB announces support for Valkey, which is priced 30% lower than MemoryDB for Redis OSS. With MemoryDB for Valkey, you are not charged for data written up to 10 TB/month. Any data written over 10TB/month is billed at $0.04/GB, which is 80% lower than MemoryDB for Redis OSS. Valkey is an open source, high performance, key-value datastore stewarded by Linux Foundation. It is a drop in replacement of Redis OSS. Valkey is backed by 40+ companies and has seen rapid adoption since the project was created in March 2024.\n Amazon MemoryDB is a fully managed, Valkey- and Redis OSS-compatible database service, which provides multi-AZ durability, microsecond read and single-digit millisecond write latency, and high throughput. It is ideal for use cases such as caching, leaderboards, and session stores. With MemoryDB for Valkey, you can benefit from a fully managed experience built on open-source technology while leveraging the security, operational excellence, and reliability that AWS provides. MemoryDB for Valkey also delivers the fastest vector search performance at the highest recall rates among popular vector databases on AWS. MemoryDB for Valkey is available in all AWS Regions that MemoryDB is available. To get started, you can create a new Valkey cluster by specifying a database name or upgrade an existing MemoryDB for Redis OSS cluster to MemoryDB for Valkey using the AWS Management Console, Software Development Kit (SDK), or Command Line Interface (CLI). For more information, please visit the MemoryDB features page, getting started blog, and documentation.

Access organization-wide views of agreements and spend in AWS Marketplace

AWS Marketplace announces the general availability of a new procurement insights dashboard, helping you manage your organization’s renewals and optimize your AWS Marketplace spend. The new dashboard gives you detailed visibility into your organization’s AWS Marketplace agreements and associated spend across the AWS accounts in your organization.\n The procurement insights dashboard identifies contracts nearing their end of term, enabling you to proactively address upcoming renewals. The comprehensive view of your organization’s AWS Marketplace agreements allows you to identify consolidation opportunities across teams. You can gain a deeper understanding of your organization’s AWS Marketplace spend, as it offers insights into historical spend by offer type, subscriber ID, solution provider, and more. You can also embed the dashboard within other tools using an API. The procurement insights dashboard and API are available in all AWS Regions where the AWS Marketplace console is available. You can access the dashboard in the procurement insights tab in the AWS Marketplace console. If you have a management or delegated administrator account, you can enable organizational visibility in the console settings by following the directions in the AWS Marketplace Buyer Guide. You can access the directions to use the API here.

Extension of EOL Dates for Amazon Corretto 8 and 11

We are pleased to announce that Amazon is extending the End of Life (EOL) dates for Amazon Corretto 8 and Amazon Corretto 11.\n The new EOL dates are as follows:

Amazon Corretto 8: December-2030

Previous EOL date was April 2026

Amazon Corretto 11: January-2032

Previous EOL date was September 2027

Please note that Amazon will halt support for JavaFX, which is currently included in Corrretto 8, on its original EOL date of March-2026. After this date, JavaFX will no longer be included with Corretto 8. If you have any questions or need further assistance, please reach out to the Amazon Corretto team by creating a GitHub ticket or, if you have an AWS service contract, you may alternatively raise a ticket through the AWS Support Center. For customers looking to upgrade the JDK version for their Java applications, check out Amazon Q Developer for code transformation assistance. Thank you for choosing Amazon Corretto!

Amazon OpenSearch Serverless introduces a suite of new features and enhancements

Amazon OpenSearch Serverless has recently introduced a suite of new features and enhancements that enable faster indexing, improved search performance, and expanded analytical capabilities.\n The updates include the introduction of a flat object data type, which allows for more efficient storage and searching of nested data. OpenSearch Serverless now supports enhanced geospatial features, providing users with the ability to uncover valuable insights from location-based data. OpenSearch Serverless has also expanded its field types, including support for unsigned long, and doc count mapper. The new multi-term aggregation feature enables you to perform complex aggregations, and gain deeper insights into your data. Furthermore, OpenSearch Serverless has also seen significant reduction in indexing latencies and faster ascending/descending search sorts, improving the overall efficiency and performance. These new features for OpenSearch Serverless are automatically enabled for all collections and is now available in 14 regions globally: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe West (Paris), Europe West (London), Asia Pacific South (Mumbai), South America (Sao Paulo), Canada (Central), and the AWS GovCloud (US-West) Region. Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.

Amazon VPC Lattice is now available in 3 additional Regions

Amazon VPC Lattice is now available in 3 additional AWS Regions: Asia Pacific (Osaka), Asia Pacific (Hong Kong), and Middle East (Bahrain).\n Amazon VPC Lattice is an application networking service that simplifies connecting, securing, and monitoring service-to-service communication. You can use Amazon VPC Lattice to facilitate cross-account and cross-VPC connectivity, as well as application layer load balancing for your workloads in a consistent way regardless of the underlying compute type – instances, containers, and serverless. With this launch, Amazon VPC Lattice is now generally available in 21 AWS regions: Please visit the AWS region table for more information on AWS regions and services. To learn more, visit the Amazon VPC Lattice homepage, Amazon VPC Lattice User Guide, Frequently Asked Questions, and browse the most recent VPC Lattice blog posts here.

Amazon Q in Connect adds personalized guidance for agents

Amazon Q in Connect, a generative-AI powered assistant for contact center agents, now recommends personalized guidance to agents using customer data from Amazon Connect and other third-party CRM systems. Amazon Q in Connect detects the customer’s intent from the real-time voice or chat conversation and understands customer data to recommend what an agent should say or what action they should take.\n For example, when a customer contacts a hotel to upgrade their room, Amazon Q in Connect analyzes the real-time conversation, identifies the customer’s loyalty tier, and provides the agent with a step-by-step guide of upgrade options and discounts to offer the customer. With Amazon Q in Connect, contact centers can empower agents to provide a more personalized and efficient customer interaction while driving increased customer satisfaction. For region availability, please see the availability of Amazon Connect features by Region. To learn more about Amazon Q in Connect, please visit the website or see the help documentation.

Mountpoint for Amazon S3 CSI driver introduces new access controls for individual Kubernetes pods

The Mountpoint for Amazon S3 Container Storage Interface (CSI) driver now supports configuring distinct AWS Identity and Access Management (IAM) roles for individual Kubernetes pods. Built on Mountpoint for Amazon S3, the CSI driver presents an S3 bucket as a volume accessible by containers in Amazon Elastic Kubernetes Service (Amazon EKS) and self-managed Kubernetes clusters. Now, you can use IAM roles for each pod to restrict access to specific buckets or objects, without making changes to your applications.\n Previously, you could configure an IAM role that the CSI driver used for all pods in your Kubernetes cluster. With this launch, you can further strengthen your application security when building multi-tenant environments by configuring the CSI driver to use individual IAM roles for each pod that attaches a volume. This means that you can run data-intensive jobs, like machine learning or media transcoding, across multiple pods while allowing each pod to access only the data it needs, providing data isolation between pods as a result. Amazon EKS supports the Mountpoint for Amazon S3 CSI driver as an EKS add-on. You can install, configure, and update the CSI driver with just a few clicks in the Amazon EKS console, AWS Command Line Interface (AWS CLI), EKS Application Programming Interface (API), and AWS CloudFormation. To get started, follow the user guide.

Amazon Connect launches prompt customizations for Amazon Q in Connect

Amazon Q in Connect, a generative-AI powered assistant for contact center agents, now enables contact center supervisors to pre-configure LLM prompts to match your company’s brand and business guidelines. Supervisors can tailor prompts to change Amazon Q in Connect’s tone and behavior to incorporate specific company phrases, follow language guidelines, and designate certain “fixed” responses for situations requiring absolute consistency. For example, when a customer contacts a healthcare insurance provider, Amazon Q in Connect can be customized to be sensitive for use cases such as denied claim. Agents using step-by-step guides for the claim appeals process will be provided empathetic phrasing and automated disclaimers for different types of medical advice. With Amazon Q in Connect, contact centers can empower agents to consistently represent the company’s brand, reduce compliance risks, and increase customer satisfaction.\n
For region availability, please see the availability of Amazon Connect features by Region. To learn more about Amazon Q in Connect, please visit the website or see the help documentation.

AWS Deadline Cloud now supports resubmitting jobs

Today, AWS announces support for resubmitting your Deadline Cloud jobs, via API, CLI, and within the Deadline Cloud monitor, so you can easily run jobs again with updated parameters. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design.\n Resubmitting jobs makes it easy to run the same job with updated parameters. For example, you can submit a job to render a subset of testing frames, verify their output, then run the job again with the full frame range. Resubmitting jobs is available in all AWS Regions where Deadline Cloud is available. For more information, please visit the Deadline Cloud product page, and the Deadline Cloud User Guide.

Preview: Amazon Q Business now supports an integration with Smartsheet

Amazon Q Business now supports the integration with Smartsheet, the modern enterprise work management platform trusted by millions of people at companies across the globe. This connector makes it easy to synchronize data from your Smartsheet instance with your Amazon Q index. When implemented, your employees can use Amazon Q Business to query their intelligent assistant on information about their Smartsheet projects and tasks.\n Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The over 40 connectors supported by Q Business can be scheduled to automatically sync your index with your selected data sources, so you’re always securely searching through the most up-to-date content. To learn more about Amazon Q Business and its integration with Smartsheet, visit the Amazon Q Business connectors webpage. The new connector with Smartsheet is available in all AWS Regions where Q Business is available.

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