Amazon WorkSpaces now supports IPv6

Amazon WorkSpaces now supports IPv6 for WorkSpaces domains and external endpoints, enabling users to connect through an IPv4/IPv6 dual-stack configuration from compatible clients (excluding SAML authentication). This helps customers meet IPv6 compliance requirements and eliminates the need for costly networking equipment to handle address translation between IPv4 and IPv6. Dual-stack support for WorkSpaces addresses the Internet’s growing demand for IP addresses by offering a vastly larger address space than IPv4. This eliminates the need to manage overlapping address ranges within your Virtual Private Cloud (VPC). Customers can deploy WorkSpaces through dual-stack that supports both IPv4 and IPv6 protocols while maintaining backward compatibility with existing IPv4 systems. Customers can also connect to their WorkSpaces through PrivateLink VPC endpoints over IPv6, enabling them to access the service privately without routing traffic over the public internet. Connecting to Amazon WorkSpaces over IPv4/IPv6 dual-stack configuration is supported in all AWS Regions where Amazon WorkSpaces is available, including the AWS GovCloud (US East & US West) Regions. There is no additional cost for this feature. To enable IPv6, you must use the latest WorkSpaces client application for Windows, macOS, Linux, PCoIP zero clients, or web access. To learn more about IPv6 support on Amazon WorkSpaces, refer to the Amazon WorkSpaces administration guide.
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Amazon MSK Connect now supports dual-stack (IPv4 and IPv6) connectivity for new connectors

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports dual-stack connectivity (IPv4 and IPv6) for new connectors on Amazon MSK Connect. This capability enables customers to create connectors on MSK Connect using both IPv4 and IPv6 protocols, in addition to the existing IPv4-only option. It helps customers modernize applications for IPv6 environments while maintaining IPv4 compatibility, making it easier to meet compliance requirements and prepare for future network architectures. Amazon MSK Connect is a fully managed service that allows you to deploy and operate Apache Kafka Connect connectors in a fully managed environment. Previously, connectors on MSK Connect only supported IPv4 addressing for all connectivity options. With this new capability, customers can now enable dual-stack connectivity (IPv4 and IPv6) on new connectors using the Amazon MSK Console, AWS CLI, SDK, or CloudFormation by setting the Network Type parameter during connector creation. All connectors on MSK Connect will by default use IPv4-only connectivity unless explicitly opted-in for dual-stack while creating new connectors. Existing connectors will continue using IPv4 connectivity. To change that you will need to delete and recreate the connector. Dual-stack connectivity for new connectors on MSK Connect is now available in all AWS Regions where Amazon MSK Connect is available, at no additional cost. To learn more about Amazon MSK dual-stack support, refer to the Amazon MSK developer guide.
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AWS announces enhanced custom line item controls for AWS Billing Conductor

Starting today, AWS Billing Conductor customers gain greater flexibility when using custom line items. Customers can now create service-specific custom line items scoped at either one AWS service or to a set of selected AWS service and can choose how these line items are presented in the pro forma billing artifacts, such as Bills Page, Cost Explorer and Cost and Usage Records. These enhancements enable customers to create more precise and tailored charge-back and re-billing strategies that better reflect their pricing structures and improve the traceability experience for pro forma users. Customers can use this functionality to apply percentage discounts on Saving Plans fees or allocate shared flat support charges under AWS Support service. Service specific custom line items are available for standard billing group regardless of the type of pricing plan selected, and for billing-transfer billing groups exclusively when customer-managed pricing plans are selected. To start, use AWS Billing Conductor console or APIs, create a custom line item and specify the cost reference value (one or multiple AWS services) and the display setting options (itemized or consolidated under your service of choice). To learn more about custom line items visit AWS Billing Conductor documentation. This feature is available now in all AWS commercial Regions, excluding AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD.
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Amazon WorkSpaces Applications announces additional health and performance metrics

Today, Amazon WorkSpaces Applications announced a new set of Amazon CloudWatch metrics for monitoring the health and performance of fleets, sessions, instances, and users. Administrators and support operations personnel can conveniently enable monitoring across fleets from the Amazon CloudWatch console. These metrics simplify troubleshooting and dynamically update to reflect the latest state of important performance metrics. Users can make informed decisions on sizing and end users’ streaming instances by setting performance thresholds on available metrics to meet performance and budgeting criteria. They can view instance and session performance metrics to troubleshoot end user streaming session related issues. To enable this feature for your fleet instancess, you must use a WorkSpaces Applications image that uses latest agent released on or after December 06, 2025 or has been updated using Managed WorkSpaces Applications image updates released on or after December 05, 2025.
These CloudWatch metrics are available in all the AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Applications is currently available. To get started or learn more, you can visit Amazon WorkSpaces Applications Metrics and Dimensions documentation. 
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Now generally available: Amazon EC2 M8gn and M8gb instances

Today, AWS announces the general availability of the new Amazon Elastic Compute Cloud (Amazon EC2) M8gn and M8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. M8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. M8gb offer up to 150 Gbps of EBS bandwidth to provide higher EBS performance compared to same-sized equivalent Graviton4-based instances. M8gn are ideal for network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function (UPF). M8gb are ideal for workloads requiring high block storage performance such as high performance databases and NoSQL databases.
M8gn instances offer instance sizes up to 48xlarge, up to 768 GiB of memory, up to 600 Gbps of networking bandwidth, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). They also support EFA networking on the 16xlarge, 24xlarge, and 48xlarge sizes. M8gb instances offer sizes up to 24xlarge, up to 768 GiB of memory, up to 150 Gbps of EBS bandwidth, and up to 200 Gbps of networking bandwidth. They support Elastic Fabric Adapter (EFA) networking on the 16xlarge and 24xlarge sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.
The new instances are available in the following AWS Regions: US East (N. Virginia), and US West (Oregon). To learn more, see Amazon EC2 M8gn and M8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page.
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Amazon OpenSearch Service announces new OI2 instances

Amazon OpenSearch Service introduces OI2 instances, expanding the OpenSearch Optimized Instance family. The new OI2 instances delivers up to 9% higher indexing throughput compared to OR2 instances and up to 33% over I8g instances in our internal benchmarks.
The new OI2 OpenSearch Optimized instances use the same architecture as the OR2 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, 3rd generation AWS Nitro SSDs for caching, and remote Amazon S3-based managed storage. OI2 offers pay-as-you-go pricing and reserved instances, with a simple hourly rate for the instance including the NVMe storage, as well as managed storage provisioned. OI2 instances come in sizes ‘large’ through ‘24xlarge’, and offer compute, memory, and up to 22.5 TB storage. Please refer to the Amazon OpenSearch Service pricing page for pricing details. OI2 instance family is now available on Amazon OpenSearch Service across 12 regions globally: US East (N. Virginia, Ohio), US West (Oregon), Canada (Central), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), Europe (Frankfurt, Ireland, London, Spain).
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Amazon EC2 C8g, M8g, R8g instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g and M8g instances are available in AWS GovCloud (US-West) and R8g and M8g instances are available in AWS GovCloud (US-East) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. They are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C8g, M8g and R8g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g and R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 C8g Instances, Amazon EC2 M8g Instances, and Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS GovCloud (US) Console.
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Amazon EC2 C8g instances now available in Europe (Zurich)

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Europe (Zurich) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 C8g Instances. To get started, see the AWS Management Console.
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Amazon Aurora now supports PostgreSQL 18.1 in the Amazon RDS Database preview environment

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL version 18.1 in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 18.1 on Amazon Aurora PostgreSQL. PostgreSQL 18.1 was released by the PostgreSQL community on September 9, 2025.  PostgreSQL 18.1 includes “skip scan” support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel GIN index builds and updates join operations. Observability improvements show buffer usage counts and index lookups during query execution, along with a per-connection I/O utilization metric. To learn more about PostgreSQL 18.1, read here.   Database instances in the RDS Database Preview Environment allow testing of a new database engine without the hassle of having to self-install, provision, and manage a preview version of the Aurora PostgreSQL database software. Clusters are retained for a maximum period of 60 days and are automatically deleted after this retention period. Amazon RDS Database Preview Environment database instances are priced the same as production Aurora instances created in the US East (Ohio) Region.   Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.
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AWS Databases are now available on the Vercel Marketplace

Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create and connect to an AWS database directly from Vercel in seconds. To get started, you can create a new AWS Account from Vercel that includes access to the three databases and $100 USD in credits. These credits can be used with any of these database option for up to six months. Once your account is set up, you can have a production-ready Aurora database or DynamoDB table powering your Vercel projects within seconds. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit the AWS landing page on the Vercel Marketplace. The integration includes serverless options for Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB to simplify your application needs and reduce costs by scaling to zero when not in use. You can create a database in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai) with more Regions coming soon. AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you’re prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.
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