11/14/2024, 12:00:00 AM ~ 11/15/2024, 12:00:00 AM (UTC)

Recent Announcements

Amazon S3 now supports up to 1 million buckets per AWS account

Amazon S3 has increased the default bucket quota from 100 to 10,000 per AWS account. Additionally, any customer can request a quota increase up to 1 million buckets. As a result, customers can create new buckets for individual datasets that they store in S3 to more easily take advantage of capabilities such as default encryption, security policies, S3 Replication, and more to remove barriers to scaling and optimize their S3 storage architecture.\n Amazon S3’s new default bucket quota of 10,000 buckets is now applied to all AWS accounts and requires no action by customers. To increase your bucket quota from 10,000 to up to 1 million buckets, simply request a quota increase via Service Quotas. You can create your first 2,000 buckets at no cost. Above 2,000 buckets, you are charged a small monthly fee. The increased default general purpose bucket limit per account now applies to all AWS Regions. To learn more about general purpose bucket quotas, visit the S3 User Guide.

Amazon QuickSight launches self serve Brand Customization

Amazon QuickSight launches self serve brand customization which allows QuickSight admins with relevant AWS Identity and Access Management (IAM) permissions to align QuickSight’s user interface with their organization’s brand by modifying visual elements like brand colors and logo. This creates a cohesive look and feel that aligns with their organization’s identity. Brand customization includes customization of logo, favorite icon, and color scheme used for QuickSight screen elements. Admins can configure and apply custom brand through public API or UI. Once a brand is applied to the account, it gets materialized across all non-admin pages in the QuickSight console, embedded components, as well as schedules, alerts and share emails. For more information and to see the list of all QuickSight components which can be customized click here.\n The self serve brand customization is available with the Amazon QuickSight Enterprise Edition in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), China (Beijing) Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West).

Amazon IVS introduces Multitrack Video to save input costs

Today we are launching Multitrack Video, a new capability in Amazon Interactive Video Service (Amazon IVS) which can save you up to 75% on live video input costs with standard channels. With Multitrack Video, you send multiple video quality renditions directly from your own device instead of using Amazon IVS for transcoding.\n Multitrack Video is supported in OBS Studio. Once you enable Multitrack Video on your IVS channels, your broadcasters can simply check a box in OBS to automatically send an optimal set of video qualities based on their hardware and network capabilities. This enables viewers to watch in the best quality for their connection, while you pay $0.50 an hour for standard channel input compared to $2.00 an hour without Multitrack Video. For more pricing information, visit the Amazon IVS pricing page. Amazon IVS is a managed live streaming solution that is designed to make low-latency or real-time video available to viewers around the world. Video ingest and delivery are available over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available. To get started, see the Multitrack Video documentation

AWS Partner Central now provides API for Selling with AWS

Today, AWS introduces the AWS Partner Central API for Selling, enabling AWS Partners to integrate their Customer Relationship Management (CRM) systems with AWS Partner Central. This API allows partners to streamline and scale their co-selling process by automating the creation and management of APN Customer Engagements (ACE) opportunities within their own CRM. This API provides improved efficiency, scale, and error handing compared to the existing Amazon S3-based CRM integration, and is available to all AWS Partners.\n AWS Partner Central API for Selling enables partners to create, update, view, and assign opportunities, as well as accept invitations to engage on AWS referrals. Additionally, partners can retrieve a list of their solutions on AWS Partner Central, and associate specific solutions, AWS products, or AWS Marketplace offers with opportunities as needed. Real-time notifications via AWS EventBridge keep partners up to date on any changes on the opportunity. The API also integrates with AWS services, enabling partners to monitor co-selling via Amazon CloudWatch and audit with AWS CloudTrail. Partners can use this API in combination with the AWS Marketplace Catalog API to manage the entire opportunity-to-offer process directly within their CRM. AWS Partner Central API for Selling is now available in the US East (N. Virginia) region and is accessible through AWS SDKs in .NET, Python, Java, Go, and other programming languages. Partners can also use this API via the AWS Partner CRM Connector or our multiple integration partners. Learn more on Automations for Partners. To get started, visit AWS Partner Central API documentation.

AWS Backup now supports Amazon Neptune in three new Regions

Today, we are announcing the availability of AWS Backup support for Amazon Neptune in the Asia Pacific (Jakarta, Osaka) and Africa (Cape Town) Regions. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon Neptune along with other AWS services (spanning compute, storage, and databases) and third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection activity.\n With this launch, AWS Backup support for Amazon Neptune is available in the following regions: in the following Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Stockholm), Asia Pacific (Hong Kong, Jakarta, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Middle East (Bahrain, UAE), Africa (Cape Town), Israel (Tel Aviv), South America (Sao Paulo), AWS GovCloud (US-East, US-West), and China (Beijing, Ningxia). For more information on Region availability, feature availability, and pricing, see the AWS Backup pricing page and the AWS Backup feature availability page. To learn more about AWS Backup support for Amazon Neptune, visit AWS Backup’s technical documentation. To get started, visit the AWS Backup console.

Amazon Keyspaces (for Apache Cassandra) reduces prices by up to 75%

Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service. Effective Today, Amazon Keyspaces (for Apache Cassandra) is reducing prices by up to 75% across several pricing dimensions.\n Amazon Keyspaces supports both on-demand and provisioned capacity modes for writing and reading data within a Region or across multiple Regions. Keyspaces’ on-demand mode provides a fully serverless experience with pay-as-you-go pricing and automatic scaling, eliminating the need for capacity planning. Many customers choose on-demand mode for its simplicity, enabling them to build modern, serverless applications that can start small and seamlessly scale to millions of requests per second. Amazon Keyspaces has lowered prices for on-demand mode by up to 56% for single-Region and up to 65% for multi-Region usage, and for provisioned mode by up to 13% for single-Region and up to 20% for multi-Region usage. Additionally, to make data deletion more cost-effective, Keyspaces has lowered time-to-live (TTL) delete prices by 75%. Previously, on-demand was the cost-effective choice for spiky workloads, but with this pricing change, it now offers a lower cost for most provisioned capacity workloads as well. This change transforms on-demand mode into the recommended and default choice for the majority of Keyspaces workloads. Together, these price reductions make Amazon Keyspaces even more cost-effective and simplify building, scaling, and managing Cassandra workloads. This pricing change is available in all AWS Regions where AWS offers Amazon Keyspaces. To learn more about the new price reductions, visit the Amazon Keyspaces Pricing.

Amazon DynamoDB reduces prices for on-demand throughput and global tables

Amazon DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. Starting today, we have made Amazon DynamoDB even more cost-effective by reducing prices for on-demand throughput by 50% and global tables by up to 67%.\n DynamoDB on-demand mode offers a truly serverless experience with pay-per-request pricing and automatic scaling without the need for capacity planning. Many customers prefer the simplicity of on-demand mode to build modern, serverless applications that can start small and scale to millions of requests per second. While on-demand was previously cost effective for spiky workloads, with this pricing change, most provisioned capacity workloads on DynamoDB will achieve a lower price with on-demand mode. This pricing change is transformative as it makes on-demand the default and recommended mode for most DynamoDB workloads. Global tables provide a fully managed, multi-active, multi-Region data replication solution that delivers increased resiliency, improved business continuity, and 99.999% availability for globally distributed applications at any scale. DynamoDB has reduced pricing for multi-Region replicated writes to match the pricing of single-Region writes, simplifying cost modeling for multi-Region applications. For on-demand tables, this price change lowers replicated write pricing by 67%, and for tables using provisioned capacity, replicated write pricing has been reduced by 33%. These pricing changes are already in effect, in all AWS Regions, starting November 1, 2024 and will be automatically reflected in your AWS bill. To learn more about the new price reductions, see the AWS Database Blog, or visit the Amazon DynamoDB Pricing page.

Amazon OpenSearch Service now supports OpenSearch version 2.17

You can now run OpenSearch version 2.17 in Amazon OpenSearch Service. With OpenSearch 2.17, we have made several improvements in the areas of vector search, query performance and machine learning (ML) toolkit to help accelerate application development and enable generative AI workloads.\n This launch introduces disk-optimized vector search, a new option for the vector engine that’s designed to run efficiently with less memory to deliver accurate, economical vector search at scale. In addition to this, OpenSearch’s FAISS engine now supports byte vectors lowering cost and latency by compressing k-NN indexes with minimal recall degradation. You can now encode numeric terms as a roaring bitmap that enables you to perform aggregations, filtering and more, with lower retrieval latency and reduced memory usage. This launch also includes key features to help you build ML-powered applications. Firstly, with ML inference search processors you can now run model predictions while executing search queries. In addition to this, you can also perform high-volume ML tasks, such as generating embeddings for large datasets and ingesting them into k-NN indexes using asynchronous batch ingestion. Finally, this launch adds threat intelligence capabilities to Security Analytics solution. This enables you to use customized Structured Threat Information Expression (STIX)-compliant threat intelligence feeds to provide insights to support decision-making and remediation. For information on upgrading to OpenSearch 2.17, please see the documentation. OpenSearch 2.17 is now available in all AWS Regions where Amazon OpenSearch Service is available.

Customers can now make payments using SEPA accounts in Five EU countries

Customers in UK, Spain, Netherlands and Belgium can now create an AWS Account using their bank account. Upon signup, customers with a billing address in these countries can now securely connect their bank account which supports the Single Euro Payment Area (SEPA) standard.\n SEPA direct debit is a popular payment method in Europe, widely used to make payments for utility bills. Until today, this feature was available only for customers in Germany. Customers in other countries needed to provide credit or debit card details to complete the sign up. With this launch, customers in 4 additional countries can sign and pay using their SEPA bank accounts. If you’re a customer signing up for AWS from any of these 5 countries, you can choose “Bank Account” from AWS sign up page, followed by “Link your bank account”. Select your bank from the list of available banks and sign in to your bank using your online banking credentials. Signing in to your bank allows you to securely add your bank account to your AWS account and verifies that you are the owner of the bank account. By default, this bank account will be used when paying for your future AWS invoices. Signup with Bank Account is available in Germany, the first country where this feature is available. To learn more, See Verify and link your bank account to your AWS Europe payment methods.

Customize scope of IAM Access Analyzer unused access analysis

Customers use Identity and Access Management (IAM) Access Analyzer unused access findings to identify over permissive access granted to IAM roles and users in their accounts or AWS organization. Now, customers can optionally customize the analysis to meet their needs. Customers can select accounts, roles, and users to exclude from analysis and focus on specific areas to identify and remediate unused access. They can use identifiers such as account ID or scale configuration using role tags. By scoping the analyzer to monitor a sub-set of accounts and roles, customers can streamline findings review and optimize costs of using unused access analysis. Customers can update the configuration at any time to change the scope of analysis. With the new offering, IAM Access Analyzer provides enhanced controls to help customers tailor the analysis more closely to their organization’s security needs.\n This new feature is available in all AWS Commercial Regions. To learn more about IAM Access Analyzer unused access analysis, see the documentation.

AWS Glue is now available in Asia Pacific (Malaysia)

We are happy to announce that AWS Glue, a serverless data integration service, is now available in the AWS Asia Pacific (Malaysia) Regions.\n AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides both visual and code-based interfaces to make data integration simpler so you can analyze your data and put it to use in minutes instead of months. To learn more, visit the AWS Glue product page and our documentation. For AWS Glue region availability, please see the AWS Region table.

AWS launches user-based subscription of Microsoft Remote Desktop Services

Today, AWS announces the general availability of Microsoft Remote Desktop Services with AWS provided licenses. Customers can now purchase user-based subscription of Microsoft Remote Desktop Services licenses directly from AWS. This new offering provides licensing flexibility and business continuity for customers running graphical user interface (GUI) based applications on Amazon Elastic Compute Cloud (Amazon EC2) Windows instances.\n Thousands of customers use Windows Server on Amazon EC2 to host custom applications or independent software vendor (ISV) products that require remote connectivity via Microsoft Remote Desktop Services. Previously, customers had to procure the licenses through various Microsoft licensing agreements. With the AWS provided subscription, customers can now access Microsoft Remote Desktop Services licenses from AWS on a per-user, per-month basis, eliminating the need for separate licensing agreements and reducing operational overhead. Unlike AWS provided Microsoft Office and Visual Studio, customers can continue using their existing Active Directory(s) for managing user access to GUI-based applications on Amazon EC2. Moreover, customers can have more than two concurrent user sessions with Windows Server instances. Lastly, AWS License Manager enables centralized tracking for license usage, simplifying governance and cost management. Customers can start using AWS provided Microsoft Remote Desktop Services licenses without rebuilding their existing Amazon EC2 instances, providing a seamless migration path for existing workloads. AWS provided user-based subscription of Microsoft Remote Desktop Services license is available in all AWS Regions currently License Manager supports. For further questions, visit the user guide. To learn more and get started, visit here.

AWS Transit Gateway and AWS Cloud WAN enhance visibility metrics and Path MTU support

AWS Transit Gateway (TGW) and AWS Cloud WAN now support per availability zone (AZ) metrics delivered to CloudWatch. Furthermore, both services now support Path Maximum Transmission Unit Discovery (PMTUD) for effective mitigation against MTU mismatch issues in their global networks.\n TGW and Cloud WAN allow customers to monitor their global network through performance and traffic metrics such as bytes in/out, packets in/out, and packets dropped. Until now, these metrics were available at an attachment level, and aggregate TGW and Core Network Edge (CNE) levels. With this launch, customers have more granular visibility into AZ-level metrics for VPC attachments. AZ-level metrics enable customers to rapidly troubleshoot any AZ impairments and provide deeper visibility in AZ-level traffic patterns across TGW and Cloud WAN. TGW and Cloud WAN now also support standard PMTUD mechanism for traffic ingressing on VPC attachments. Until now, jumbo sized packets exceeding the TGW/CNE MTU (8500 bytes) would get silently dropped on VPC attachments. With this launch, an Internet Control Message Protocol (ICMP) Fragmentation Needed response message is sent back to sender hosts allowing them to remediate packet MTU size and thus minimize packet loss due to MTU mismatches in their network. PMTUD support is available for both IPv4 and IPv6 packets. The per-AZ CloudWatch metrics and PMTUD support are available within each service in all AWS Regions where TGW or Cloud WAN are available. For more information, see the AWS Transit Gateway and AWS Cloud WAN documentation pages.

Announcing Infrastructure as Code template generation for AWS Step Functions

AWS Step Functions now supports exporting workflows as AWS CloudFormation or AWS Serverless Application Model (SAM) templates directly in the AWS console. This allows for centralized and repeatable provisioning and management of your workflow configurations. AWS Step Functions is a visual workflow service capable of orchestrating virtually any AWS service to automate business processes and data processing workloads.\n Now, you can export and customize templates from existing workflows to easily provision them in other accounts or jump-start the creation of new workflows. When you combine the Step Functions templates you generate with those from other services, you can provision your entire application using AWS CloudFormation stacks. Additionally, you can export your workflows to the AWS Infrastructure Composer console to take advantage of the visual builder capabilities to create a new serverless application project. Using Infrastructure Composer, you can connect the workflow with other AWS resources and generate the resource configurations in an AWS SAM template. For more information about the AWS Regions where AWS Step Functions is available, see the AWS Region table. You can get started in the AWS console. To learn more, see the AWS Step Functions Developer Guide.

Amazon OpenSearch Service adds supports for two new third party plugins

Amazon OpenSearch Service now supports two new third party plugins- encryption plugin from Portal26.ai and Name Match plugin from Babel Street. These are optional plugins that you can choose to associate with your OpenSearch Service clusters.\n The encryption plugin from Portal26.ai uses NIST FIPS 140-2 certified encryption to encrypt the data as it gets indexed by the Amazon OpenSearch Service. This plugin includes a Bring Your Own Key (BYOK) capability allowing you to setup separate encryption keys per index thus enabling you to easily support multi-tenant use-cases. Babel Street Match Plugin for OpenSearch accurately matches names, organisations, addresses, and dates in over 24 languages, enhancing security operations and regulatory compliance while reducing false positives and increasing operational efficiency. You can use the AWS Management Console and AWS CLI to associate, disassociate and list third party plugins in your domain. Customers can now use “CreatePackage” and “AssociatePackage” APIs to upload and associate the plugin with the Amazon OpenSearch Service cluster. ‘PACKAGE-CONFIG“ and ”PACKAGE-LICENSE“ package types are supported for uploading the plugin configuration and license files that you can directly procure from Portal26.ai for the encryption plugin, and Babel Street for the name match plugin. These third party plugins are available for Amazon OpenSearch domains running OpenSearch version 2.15 and above, and are available in all AWS regions except AWS GovCloud (US) Regions where Amazon OpenSearch service is available. For more information about third party plugins, please see the documentation. To learn more about Amazon OpenSearch Service, please visit the product page.

Three new Long-Form Voices

The Amazon Polly Long-Form engine now introduces two voices in Spanish and one in US English.\n Amazon Polly is a service that turns text into lifelike speech, allowing our customers to build speech-enabled products matching their business needs. Today, we add three new long-form voices to our premium Polly Text-to-Speech (TTS) line of products that we offer for synthesizing speech for longer content, such as articles, stories, or training materials. Male-sounding US English voice Patrick, female-sounding Spanish voice Alva, and male-sounding Spanish voice Raúl can now read long texts, such as blogs, articles, or learning materials. We trained them using the cutting edge technology that uses semantic cues to modify voice’s speaking style depending on the context. The result is natural-sounding, expressive voices that not only provide our customers with the ability of synthesizing their content in human-like Spanish and English, but expand their use-cases to long content reading. Patrick, Alva, and Raúl long-form voices are accessible in the US East (North Virginia) region and complement the other long-form voices that are already available for developing speech products for a variety of use cases. To hear how Polly voices sound, go to Amazon Polly Features. For more details on the Polly offerings and use, please read the Amazon Polly documentation and visit our pricing page.

Amazon RDS for PostgreSQL now supports major version 17

Amazon RDS for PostgreSQL now supports major version 17, starting with PostgreSQL version 17.1. The release includes support for the latest minor versions 16.5, 15.9, 14.14, 13.17, and 12.21. RDS for PostgreSQL comes with support for 94 PostgreSQL extensions such as pgvector 0.8.0, pg_tle 1.4.0, pgactive 2.1.4, and hypopg.1.4.1 that are updated to support PostgreSQL 17. This release also includes support for a new SQL function for monitoring autovacuum, providing insights to prevent transaction ID wraparound.\n PostgreSQL 17 community updates include support for vacuuming that reduces memory usage, improves time to finish vacuuming, and shows progress of vacuuming indexes. With PostgreSQL 17, you no longer need to drop logical replication slots when performing a major version upgrade. PostgreSQL 17 continues to build on the SQL/JSON standard, adding support for JSON_TABLE features that can convert JSON to a standard PostgreSQL table. PostgreSQL 17 also includes general improvements to query performance and adds more flexibility to partition management with the ability to SPLIT/MERGE partitions. You can upgrade your database using several options including RDS Blue/Green deployments, upgrade in-place, restore from a snapshot. Learn more about upgrading your database instances in the Amazon RDS User Guide. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Amazon Q Developer plugins for Datadog and Wiz now generally available

Today’s launch extends the abilities of Q Developer to access trusted AWS partner services that customers know and love. Administrators on the Q Developer Pro Tier can enable plugins in the AWS Management Console by configuring the credentials to access these third party services. Builders can now easily query and interact with Datadog and Wiz services directly in the console using Q Developer, helping them find information faster and stay in the flow longer. Customers can access a subset of information from Datadog and Wiz using natural language by asking “@datadog are there any active alerts?” or @wiz what are my top 3 security issues today?\n Datadog, an AWS Advanced Technology Partner and the observability and security platform for cloud applications, provides AWS customers with unified, real-time observability and security across their entire technology stack. With Wiz, organizations can democratize security across the development lifecycle, empowering them to build fast and securely. As an AWS Security Competency Partner, Wiz is committed to effectively reducing risk for AWS customers by seamlessly integrating into AWS services. When starting a new conversation with Q Developer, use the commands @datadog or @wiz to quickly learn more about these services in the context of your AWS resources. Q Developer will call out to these service APIs, assemble a natural language response, and return a summary with deep links to the Datadog and Wiz resources. To learn more about Amazon Q Developer, visit the service overview page.

AWS Deadline Cloud now supports GPU accelerated EC2 Instance Types

Today, AWS announces support for NVIDIA GPU accelerated instances in service-managed fleets (SMF) in AWS Deadline Cloud. 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 Now you can use Deadline Cloud SMF to create auto-scaling fleets of GPU accelerated instances without having to set up, configure, or manage the worker infrastructure yourself. Deadline Cloud SMF can be set up in minutes to deploy NVIDIA GPU accelerated EC2 Instance Types (G4dn, G5, G6, Gr6, G6e) with NVIDIA GRID drivers and Windows Server 2022 or Linux (AL2023) operating systems. This expands the digital content creation software you can use within a fully managed render farm. NVIDIA GPU accelerated instances, are supported in service-managed fleets in all AWS Regions where Deadline Cloud is available. For more information, please visit the Deadline Cloud product page, and see the Deadline Cloud pricing page for price details.

AWS Lambda adds support for Python 3.13

AWS Lambda now supports creating serverless applications using Python 3.13. Developers can use Python 3.13 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available.\n Python 3.13 is the latest long-term support (LTS) release of Python and is expected to be supported for security and bug fixes until October 2029. This release provides Lambda customers access to the latest Python 3.13 language features. You can use Python 3.13 with Lambda@Edge (in supported Regions), allowing you to customize low-latency content delivered through Amazon CloudFront. Powertools for AWS Lambda (Python), a developer toolkit to implement serverless best practices and increase developer velocity, also supports Python 3.13. The Python 3.13 runtime is available in all Regions where Lambda is available, including China and the AWS GovCloud (US) Regions. You can use the full range of AWS deployment tools, including the Lambda console, AWS CLI, AWS Serverless Application Model (AWS SAM), AWS CDK, and AWS CloudFormation to deploy and manage serverless applications written in Python 3.13. For more information, including guidance on upgrading existing Lambda functions, read our blog post. For more information about AWS Lambda, visit the product page.

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