AWS Recent Announcements

Amazon DocumentDB (with MongoDB compatibility), a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure, is now available in the AWS Asia Pacific (Osaka), Asia Pacific (Thailand), Asia Pacific (Malaysia) and Mexico (Central) Regions. Amazon DocumentDB provides scalability and durability for mission-critical MongoDB workloads, supporting millions of requests per second and can be scaled to 15 low latency read replicas in minutes without application downtime. Storage scales automatically up to 128 TiB without any impact to your application. Amazon DocumentDB also natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, and see the AWS Region Table for complete regional availability. You can create a Amazon DocumentDB cluster from the AWS Management console, AWS Command Line Interface (CLI), or SDK.

Amazon Relational Database Service (Amazon RDS) for Db2 now enables customers to perform native database-level backups, offering greater flexibility in database management and migration. With this feature, customers can selectively back up individual databases within a multi-database RDS for Db2 instance, enabling efficient migration of specific databases to another instance or on-premises environment. Using a simple backup command, customers can easily create database copies for development and testing environments, while also meeting their compliance requirements through separate backup copies. By backing up specific databases instead of full instance snapshots, customers can reduce their storage costs. This feature is now available in all AWS Regions where Amazon RDS for Db2 is offered. For detailed information about configuring and using native database backups, visit the Amazon RDS for Db2 documentation. For pricing details, see the Amazon RDS pricing page.

Starting today, Amazon VPC Lattice lets you configure the number of IPv4 addresses assigned to resource gateway elastic network interfaces (ENIs). This enhancement builds on VPC Lattice’s capability of providing access to resources on Layer-4 such as databases, clusters, domain names, etc. across multiple VPCs and accounts. When configuring a resource gateway, you can now specify the number of IPv4 addresses per ENI, which becomes immutable after setting. The IPv4 addresses are used for network address translation and determine the maximum number of concurrent IPv4 connections to a resource. You should consider your expected connection volume when configuring the IPv4 address count. By default, VPC Lattice assigns 16 IPv4 addresses per ENI. For IPv6, VPC Lattice always assigns a /80 CIDR per ENI. This feature is available at no additional cost in all AWS Regions where VPC Lattice is offered. For more information, visit the Amazon VPC Lattice product detail page and Amazon VPC Lattice documentation.

Starting today, AWS Marketplace expands its Japan consumption tax (JCT) support for Channel Partner Private Offers (CPPOs), enhancing the tax experience for Independent Software Vendors (ISVs) and Channel Partners. For transactions where Japan ISVs authorize Japan Channel Partners to resell to Japan addressed buyers, AWS Japan G.K. (“AWS Japan”) will now collect the 10% JCT for the first leg of the transaction between ISVs and Channel Partners, issue a tax qualified invoice (TQI) to the Channel Partners and disburse the JCT to ISVs. AWS Japan will continue to collect the 10% JCT for the second leg of the transaction between Japan Channel Partners and Japan buyers and issue a TQI to the buyers, as previously established under the Japan Marketplace Facilitator rule. This launch unifies the compliance across both transactions, creating a seamless tax experience. This feature is applicable for Japan ISVs and Japan Channel Partners when transacting via the AWS Japan Marketplace Operator. To learn more, please visit the AWS Japan FAQ or AWS Marketplace Seller Guide.

AWS Marketplace now supports usage-based private offers in four new currencies: EUR, GBP, AUD, and JPY. AWS Marketplace Sellers and Channel Partners can now reach buyers globally without currency conversion complexity or foreign exchange risk by pricing their offers in these new currencies. For sellers, this means faster deal cycles, simplified cash flow management in local currency, and the ability to close larger deals with confidence. For AWS Marketplace buyers, software and services can now be procured in their preferred currency, eliminating foreign exchange risk in invoice amounts, and streamlining the procurement process for private offers. Sellers can now create private offers in EUR, GBP, AUD, and JPY, and receive their disbursements in the offer currency, regardless of pricing types, including contract with consumption-based pricing and usage-based (pay-as-you-go) pricing, in addition to contract-only pricing. For Channel Partner Private Offers (CPPO), the seller, channel partner, and buyer must all transact in the same currency. Sellers need to issue a resale authorization in the negotiated currency, and the channel partner then creates the CPPO in that currency. This functionality is available worldwide for all AWS Marketplace Sellers for all private offers. Public offers remain in USD only. AWS Marketplace Sellers can choose to get disbursed to a bank account in one of the eligible jurisdictions by updating your banking information and set your currency preferences in the AWS Marketplace Management Portal Settings page. To learn more, visit the documentation on local currency offers and disbursements.

Today, AWS Marketplace announces enhanced pricing dimension capabilities, increasing limits and improving flexibility for sellers managing their product pricing. These enhancements increase the maximum pricing dimensions from 24 to 200, enable immediate use of new SaaS dimensions, and remove the 90-day price update restriction for dimensions without active subscriptions. These enhancements address key product pricing needs for sellers offering complex enterprise software. With 200 dimensions each for contract and usage-based pricing, sellers can now fully represent pricing across multiple features, user types, and consumption metrics in a single listing; matching the same pricing structures they offer outside of AWS Marketplace. When sellers add new usage dimensions to their public offers, these become available immediately for use. For instance, when a seller launches a new feature, subscribers can now instantly access it. Similarly, for dimensions without active subscriptions, sellers can adjust prices to align with their external pricing strategies without waiting through multiple 90-day periods. These enhancements to pricing dimensions are now available in all AWS Regions where AWS Marketplace is supported. To learn more, visit the AWS Marketplace Seller Guide, or access the AWS Marketplace Management Portal to try the new capabilities.

Today, AWS announces the general availability of a new capability of AWS Service Quotas called automatic quota management. AWS Service Quotas helps you view and manage your quotas from a central location. This new feature monitors quota usage, and notifies customers before they run out of their allocated quotas supported on AWS Service Quotas. This helps customers with better visibility and proactive awareness about their quota usage, enabling them to scale their applications without interruptions. AWS customers can get notified of their quota usage with automatic quota management. Customers can configure their preferred notifications channels, such as email, SMS, or Slack, through Service Quotas console or API. Notifications are also available in AWS Health, and customers can subscribe to related AWS Cloudtrail events for automation workflows. This new capability is now available at no additional cost in all AWS commercial regions. To explore this feature and for details, please visit Service Quotas console and AWS Service Quotas documentation.

Starting today, Amazon EC2 Im4gn Instances are available in Asia Pacific (Mumbai) region. Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of instance storage with the 2nd Generation AWS Nitro SSDs that are custom-designed by AWS for the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics. These instances help with transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads requiring fast access to data sets on local storage. The Im4gn instances also feature up to 100 Gbps networking and support for Elastic Fabric Adapter (EFA) for applications requiring high levels of inter-node communication. Get started with Im4gn instances by visiting the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To learn more, visit the Im4gn instances page. 

Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Seoul) and Canada (Central) regions. Each RPU provides 16 GB of memory. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to support a diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs. Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.

Kubernetes version 1.34 introduced several new features and bug fixes, and AWS is excited to announce that you can now use Amazon Elastic Kubernetes Service (EKS) and Amazon EKS Distro to run Kubernetes version 1.34. Starting today, you can create new EKS clusters using version 1.34 and upgrade existing clusters to version 1.34 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool. Kubernetes version 1.34 introduces several key improvements, including projected service account tokens for kubelet image credential providers helping improve security for container image pulls, and Pod-level resource requests and limits for simplified multi-container resource management. The release also introduces Dynamic Resource Allocation (DRA) prioritized alternatives, enabling workloads to define prioritized device requirements for improved resource scheduling. To learn more about the changes in Kubernetes version 1.34, see our documentation and the Kubernetes project release notes. EKS now supports Kubernetes version 1.34 in all the AWS Regions where EKS is available, including the AWS GovCloud (US) Regions. You can learn more about the Kubernetes versions available on EKS and instructions to update your cluster to version 1.34 by visiting EKS documentation. You can use EKS cluster insights to check if there any issues that can impact your Kubernetes cluster upgrades. EKS Distro builds of Kubernetes version 1.34 are available through ECR Public Gallery and GitHub. Learn more about the EKS version lifecycle policies in the documentation.

AWS Incident Detection and Response is now available in both AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. AWS Incident Detection and Response offers eligible AWS Enterprise Support customers proactive incident engagement to reduce the potential for failure and accelerate recovery of critical workloads from disruption. Incident Detection and Response facilitates your collaboration with AWS to develop runbooks and response plans customized to each onboarded workload.

Amazon Connect now allows you to programmatically enrich case data by linking related cases, attaching custom related items, and searching across them, so agents have the full context they need to resolve issues faster. For example, an airline can link all customer cases tied to a single flight cancellation to coordinate rebookings and send proactive updates, while a retailer can attach order and shipment details to a refund request to deliver faster resolutions and keep customers informed. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.

Amazon Connect now enables you to customize service level calculations to your specific needs. Supervisors and managers can define time thresholds for when a contact is considered to meet service level standards and select which contact outcomes to include in the calculation. For example, managers can choose to count callback contacts, exclude contacts transferred out while waiting in queue, and exclude short abandons using a configurable time threshold. Customization of service level calculation is available from the metric configuration section on the analytics dashboards. With this feature supervisors and managers can now create a service level metric calculation that better aligns with their business operations. With a customized view of service level performance, operations managers can assess how effectively they have met their service standards. This new feature is available in all AWS regions where Amazon Connect is offered. To learn more about customizing your service level calculation, visit the Admin Guide. To learn more about Amazon Connect, the easy-to-use cloud contact center, visit the Amazon Connect website.

AWS is announcing the general availability of new compute optimized Amazon EC2 C8i and C8i-flex instances. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. These C8i and C8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than C7i and C7i-flex instances, with even higher gains for some workloads. The C8i and C8i-flex instances are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex instances. C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. C8i instances are a great choice for all compute intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. C8i and C8i-flex instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain). To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i and C8i-flex instances visit the AWS News blog.

AWS Glue adds write operations support for SAP OData, Adobe Marketo Engage, Salesforce Marketing Cloud, and HubSpot connectors. This allows you to not only extract data from those applications, but also write data to them directly from your AWS Glue ETL jobs. With the new write functionality you can create and update records in SAP systems; sync leads into Adobe Marketo Engage; updating subscriber and campaign data in Salesforce Marketing Cloud; manage contacts, companies, and deals in HubSpot; and more. This feature simplifies building end-to-end ETL pipelines that both extract data from and write processed results back to target applications, eliminating the need for custom scripts or intermediate systems. Write operations support for SAP OData, Adobe Marketo Engage, Salesforce Marketing Cloud, and HubSpot connectors is available in all Regions where AWS Glue is available. To learn more and see the list of supported entities, visit AWS Glue documentation.

You can now perform batch AI inference within Amazon OpenSearch Ingestion pipelines to efficiently enrich and ingest large datasets for Amazon OpenSearch Service domains. Previously, customers used OpenSearch’s AI connectors to Amazon Bedrock, Amazon SageMaker, and 3rd-party services for real-time inference. Inferences generate enrichments such as vector embeddings, predictions, translations, and recommendations to power AI use cases. Real-time inference is ideal for low-latency requirements such as streaming enrichments. Batch inference is ideal for enriching large datasets offline, delivering higher performance and cost efficiency. You can now use the same AI connectors with Amazon OpenSearch Ingestion pipelines as an asynchronous batch inference job to enrich large datasets such as generating and ingesting up to billions of vector embeddings. This feature is available in all regions that support Amazon OpenSearch Ingestion and 2.17+ domains. Learn more from the documentation.

Today, AWS announces Internet Protocol version 6 (IPv6) addressing support for Amazon Kinesis Video Streams (KVS). With this enhancement, KVS now offers dual-stack endpoints that let customers use both IPv4 and IPv6 addresses to stream video from millions of devices. This means that existing IPv4 implementations continue to work seamlessly while gaining the benefits of IPv6 connectivity. As customers increasingly encounter IPv4 address exhaustion in their private networks, this enhancement delivers much-needed flexibility. Organizations can now seamlessly stream videos using IPv4, IPv6, or dual-stack clients. This advancement simplifies IPv6-based system transitions, ensures compliance requirements are met, and eliminates dependency on costly address translation equipment. IPv6 support is available in all commercial AWS Regions where Amazon KVS is available except Ap-Southeast-1 and GovCloud regions . To learn more about Amazon KVS, refer to the developer guide.

Today, AWS Clean Rooms announces support for cross-region data collaboration. This launch enables companies and their partners to easily collaborate with data sources stored in different regions, without having to move, copy, or share their underlying data. With AWS Clean Rooms support for cross-region data collaboration, organizations can collaborate with their partners by leveraging datasets stored in regions outside of their own. Companies can collaborate with data sources stored in different AWS and Snowflake Regions from where their collaboration is hosted, eliminating the need to move or replicate data across regions to collaborate with their partners. Collaboration creators can control where their analysis results are delivered by configuring a set of allowed regions, helping each collaborator comply with applicable data residency requirements and sovereignty laws. For example, a media publisher with data stored in US East (N. Virginia) can collaborate with an advertising partner whose data resides in EU Central (Frankfurt) without building additional data pipelines or sharing underlying data with one another. With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.

Amazon Connect now provides agents with generative AI-powered email conversation overviews, suggested actions, and responses. This enables agents to handle emails more efficiently, and customers to receive faster, more consistent support. For example, when a customer emails about a refund request, Amazon Connect automatically provides key details about the customer’s purchase history, recommends a refund resolution step-by-step guide, and generates an email response to help resolve the contact quickly. To enable this feature, add the Amazon Q in Connect block to your flows before an email contact is assigned to your agent. You can customize the outputs of your email generative AI-powered assistant by adding knowledge bases and defining your prompts to guide the AI agent with generating responses that match your company’s language, tone, and policies for consistent customer service. This new feature is available in all AWS regions where Amazon Q in Connect is available. To learn more and get started, refer to the help documentation, pricing page, or visit the Amazon Connect website.

Starting today, AWS End User Messaging customers can be notified of updates to their SMS onboarding progress in Slack, Email, or any other Amazon EventBridge destination. Before this launch, tracking the status of your onboarding progress was difficult. Customers had to periodically check the status of a phone number registration in the console. Now with this launch, you can be immediately notified when phone number or sender ID registrations in your AWS account are created, submitted, denied or requires an update. AWS End User Messaging provides developers with a scalable and cost-effective messaging infrastructure without compromising the safety, security, or results of their communications. Developers can integrate messaging to support uses cases such as one-time passcodes (OTP) at sign-ups, account updates, appointment reminders, delivery notifications, promotions and more. Support for EventBridge for SMS is available in all AWS Regions where End User Messaging is available, see the AWS Region table. To learn more, see AWS End User Messaging.

EC2 Image Builder now automatically disables pipelines after consecutive failures and allows customers to configure custom log groups for image pipelines. These capabilities address common operational needs including improved control over pipeline execution, enhanced customization options for logging requirements, and better visibility. Image Builder pipelines are used to automate the creation, testing, and distribution of custom images across your AWS infrastructure. With the new automatic disablement feature, you can configure pipelines to stop execution after a specified number of consecutive failures, preventing creation of unnecessary resources and reducing costs from repeatedly failed builds. Additionally, you can also configure custom log groups for pipelines with specific log retention periods and encryption settings that align with your organizational policies, providing you enhanced customization options for logging and better visibility. These enhancements collectively provide greater control and efficiency in managing your image building processes. These capabilities are available to all customers at no additional costs, in all AWS commercial regions including AWS China (Beijing) Region, operated by Sinnet, AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions. You can get started from the EC2 Image Builder Console, CLI, API, CloudFormation, or CDK, and learn more in the EC2 Image Builder documentation.

Today, AWS announces the general availability of a self-service Invoice correction feature to update AWS invoices. This launch enables all AWS customers to correct key invoice attributes—including purchase order numbers, business legal name, and addresses — on their AWS invoices and get corrected invoices instantaneously. AWS customers can now access the new self-service Invoice correction feature directly from the AWS Billing and Cost Management console. This feature offers AWS customers a guided self-service workflow to update invoice attributes in their account settings and on select invoices. This feature gives AWS customers direct control over invoice corrections while reducing wait times and improving efficiency in managing their AWS accounts. AWS self-service Invoice Correction feature is generally available in all AWS Regions, excluding GovCloud (US) Regions and China (Beijing) and China (Ningxia) Regions. To get started with AWS self-service invoice correction feature, please visit the product details page. 

AWS Directory Service now supports IPv6 connectivity for Managed Microsoft AD and AD Connector. The IPv6 capabilities allow customers to deploy directories with IPv4-only, IPv6-only, or dual-stack configurations, helping organizations meet government mandates and standardize on next-generation Internet protocol. The IPv6 support helps organizations meet regulatory requirements, including U.S. federal agencies’ mandate to transition to IPv6 by 2025, while eliminating dual-protocol network complexity. This enables organizations to modernize their network infrastructure and comply with evolving security standards without maintaining separate IPv4 and IPv6 network stacks. Customers can upgrade existing IPv4-only directories to dual-stack by enabling IPv6 in VPC subnets, then adding IPv6 support through the Directory Service Management Console. IPv6 capabilities are available in all AWS Directory Service regions, with IPv6 accessible through Console, CLI, and API. To learn more, see the AWS Directory Service documentation.

AWS Directory Service now enables customers to upgrade Managed Microsoft AD from Standard to Enterprise Edition programmatically through the UpdateDirectorySetup API. The self-service edition upgrade eliminates the need for support tickets when scaling Managed Microsoft AD directories. The API-driven Standard to Enterprise Edition upgrade removes operational barriers that previously required coordinating maintenance windows with AWS support, enabling on-demand directory scaling with automated pre-upgrade snapshots and sequential domain controller upgrades. This streamlined process ensures data protection through automatic backup creation before upgrades begin, while the sequential upgrade approach maintains directory availability throughout the process. Organizations can now scale their directory infrastructure in response to growing user bases or expanding application requirements without the delays associated with traditional support-driven upgrade processes. The programmatic approach enables integration with existing automation frameworks and infrastructure-as-code deployments. Directory size upgrades are available in all AWS Directory Service regions through the AWS SDK, providing consistent upgrade capabilities across global deployments. To learn more, see the AWS Directory Service documentation and UpdateDirectorySetup API reference.

Amazon Connect now provides screen recording for agents using ChromeOS devices making it easier for you to help improve their performance. With screen recording, you can identify areas for agent coaching (e.g., long contact handle duration or non-compliance with business processes) by not only listening to customer calls or reviewing chat transcripts, but also watching agents’ actions while handling a contact (i.e., a voice call, chat, or task). Screen recording on ChromeOS is available in all the AWS Regions where Amazon Connect is already available. To learn more about screen recording, please visit the documentation and webpage. For information about screen recording pricing, visit the Amazon Connect pricing page.

Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the ePLDT data center near Makati City, Philippines. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

Amazon Connect now provides agent time-off balance data in analytics data lake, making it easier for you to generate reports and insights from this data. With this launch, you can now access latest and historical agent time-off balances across different time-off categories (paid time-off, sick leave, leave of absence, etc.) in the analytics data lake. In addition to balances, you can also view a chronological list of all transactions that impacted the balance. For example, if an agent starts with 80 hours of paid time-off on January 1, submits a 20-hour request on January 3, and later cancels it, you can see each transaction’s impact on the final 80-hour balance. This launch makes time-off management easier by eliminating the need for managers to manually reconcile balances and time-off transactions, thus improving manager productivity and making it easier for them to respond to agent inquiries. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.

Amazon Cognito now allows you to configure terms of use and privacy policy documents for Managed Login pages. This helps customers seamlessly present legal terms during user registration while simplifying implementation. With Managed Login, Cognito customers could previously use its no-code editor to customize the user journey from signup and login to password recovery and multi-factor authentication. Now, customers can additionally use Managed Login to easily set up terms of use and privacy policy documents, saving development teams from building custom solutions. With this capability, you can configure terms of use and privacy policy URLs for each app client in your Cognito user pool. When users register, they see text indicating that by signing up, they agree to your terms of use and privacy policy, and a link to your webpage with the agreement. You can configure different URLs for each supported language to match your Managed Login localization settings. For example, if you have configured the privacy policy and terms of use documents for French (fr) and the same is selected in the lang query-parameter on the sign-up page URL, users will see the French URL you configured. This capability is available to Amazon Cognito customers using the Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to the developer guide and Pricing Detail Page for Cognito Essentials and Plus tier.

You can now create an AWS Builder ID using sign in with Google. AWS Builder ID is a personal profile that provides access to AWS applications including Kiro, AWS Builder Center, AWS Training and Certification, AWS re:Post and AWS Startups. AWS Builder ID represents you as an individual and is independent from any credentials and data you may have in existing AWS accounts. Like other personal profiles, AWS Builder ID remains with you as you progress through your personal, educational, and career goals. Sign in with Google offers a convenient way for you to access AWS applications and websites with a single click using your Google account. This eliminates the need for separate credentials, further simplifies the registration process, and reduces the likelihood of forgotten passwords. Returning users will benefit from a frictionless sign-in experience to their AWS applications. Sign in with Google is available to help you get started quickly with any of the applications that support AWS Builder ID.

Today, Amazon GameLift Servers launched new console capabilities that let you view and connect to individual fleet instances. The EC2 and Container Fleet Detail pages have a new Instances tab to see a list of instances associated with a fleet. For each instance, there is an instance details page that displays metadata in a human-readable format (data also available via Amazon GameLift Server APIs). From the list and detail views, you can invoke the connect button, open a modal, and launch AWS CloudShell to start an SSM session directly into that instance. These console improvements give hands-on tools to debug, inspect, and resolve issues faster. Instead of relying on external tooling or guesswork, directly investigate host performance, pull recent game server logs, or diagnose issues such as network configuration and instance health – all from within the Amazon GameLift Servers Console. This reduces turnaround time when troubleshooting and enhances visibility into what’s happening “under the hood” of a game server fleet. SSM in Console is available in Amazon GameLift Servers supported regions, except AWS China. For more information, visit the Amazon GameLift Servers documentation.