4/29/2025, 12:00:00 AM ~ 4/30/2025, 12:00:00 AM (UTC)

Recent Announcements

Announcing Generation 7i instance support for Amazon RDS on AWS Outposts

Amazon Relational Database Service (Amazon RDS) on AWS Outposts now supports generation 7i instances for Amazon RDS for MySQL on Outposts and amazon RDS for PostgreSQL on Outposts. Amazon RDS on Outposts allows you to deploy fully managed database instances in your on-premises environments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. You can deploy Amazon RDS on Outposts to set up, operate, and scale MySQL, Microsoft SQL Server and PostgreSQL relational databases on-premises, just as you would in the cloud.\n Amazon RDS on Outposts now support Generation 7i instances in Asia Pacific (Singapore), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm), US East (N. Virginia, Ohio), US West (N. California, Oregon) regions. For more information about Amazon RDS on Outposts, visit our product page, our documentation, or get started now.

Amazon EKS Hybrid Nodes now supports Bottlerocket

Today, AWS announced Amazon EKS Hybrid Nodes support for Bottlerocket, the Linux-based operating system purpose-built for containers. EKS Hybrid Nodes unifies Kubernetes management across cloud, on-premises, and edge environments by enabling customers to use their on-premises infrastructure as nodes in EKS clusters. Customers can now use Bottlerocket as the node operating system for hybrid nodes running in VMware vSphere environments.\n EKS Hybrid Nodes customers get the security and efficiency benefits of the Bottlerocket operating system purpose-built for containers and supported by AWS. Customers can now use the same Bottlerocket operating system with EKS across their cloud and on-premises environments to further strengthen their operational consistency. EKS Hybrid Nodes supports VMware variants of Bottlerocket versions 1.37 and newer across all AWS Regions where EKS Hybrid Nodes is available. These variants support Kubernetes versions 1.28 and above. To get started, see the Amazon EKS User Guide.

AWS Budgets announces support for additional cost metrics and filtering capabilities

AWS Budgets now offers enhanced filtering capabilities and cost metrics, providing greater flexibility in how customers track and manage their cloud costs. Customers can now create budgets for new cost metrics such as net unblended costs and net amortized costs allowing monitoring for costs after discounts. Customers can also exclude dimension values when creating a budget and include existing Cost Explorer charge types such as reservation applied usage, Savings Plan Upfront Fee, and Savings Plan Covered Usage.\n These new capabilities enable customers to budget against the actual cost of their applications, teams, or cost centers with support for automated discounts and advanced filtering. For example, customers can now create budgets that incorporate Savings Plans and Reservation discounts, ensuring alignment between budgeted amounts and actual invoiced costs. The new dimension exclusion capabilities allow customers to create more targeted budgets - for instance, a development team could track their project spending by excluding shared enterprise services, or a finance team could monitor regional spending by excluding global services. These enhancements are available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To learn more about this new feature, AWS Budgets, and how to monitor costs, visit the AWS Budget product page and documentation.

AWS Systems Manager launches just-in-time node access

Today, AWS Systems Manager announces the launch of just-in-time node access, which helps remove long-standing permissions to nodes while maintaining operational efficiency. Customers can create zero standing privileges to nodes by requiring operators to request access to nodes managed by AWS Systems Manager that are running on AWS, hybrid, and multi-cloud environments before remotely connecting using AWS Systems Manager Session Manager.\n As organizations grow, administrators need to track and control access to nodes. Just-in-time node access helps customers limit access to their systems and data to only when needed. Administrators can enable dynamic, time-bound access to nodes through policy-based approvals, controlling who can access which nodes and when. The policies determine whether an operator is denied access, automatically approved, or must obtain human approval before remotely connecting to nodes. Administrators can also increase visibility into Remote Desktop Protocol (RDP) sessions by recording session activity and storing recordings in S3. AWS Systems Manager just-in-time node access is available in the following AWS Regions: Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Ireland), Europe (London), Europe (Paris), South America (São Paulo), US East (N. Virginia), US East (Ohio), US West (N. California), and US West (Oregon). Just-in-time node access can be enabled in individual accounts, select organization units (OUs), or across an entire organization through the AWS Systems Manager console. To get started, visit our user guide. To learn more about pricing, visit our pricing page.

Announcing second-generation AWS Outposts racks

Today, AWS announces the general availability of second-generation AWS Outposts racks, marking the latest innovation from AWS at the edge of the cloud for your workloads that require low latency, local data processing, and data residency.\n Second-generation Outposts racks support the latest generation of x86-powered Amazon Elastic Compute Cloud (Amazon EC2) instances, starting with general purpose M7i instances, compute-optimized C7i instances, and memory-optimized R7i instances. These instances deliver twice the virtual CPU, memory, and network bandwidth, and up to 40% better performance compared to C5, M5, and R5 instances on first-generation Outposts racks. Second-generation Outposts racks also feature a new networking architecture that has built-in resiliency to handle network device failures and enables decoupling of compute and networking and self-service local gateway (LGW) configurations. These advancements simplify network operations and enable cost-efficient scaling of on-premises workloads. The launch also introduces a new category of EC2 instances for AWS Outposts racks with accelerated networking. These instances feature specialized network accelerator cards and are designed for the most latency-sensitive, compute-intensive, and throughput-intensive on-premises workloads such as core trading systems of financial exchanges, real-time market data distribution, telecom 5G core, and media distribution.

With second-generation Outposts racks, you can continue to leverage the same APIs, management console, automation, governance policies, and security controls for your applications across AWS Regions and on-premises locations. This allows you to centralize infrastructure management and boost developer productivity by standardizing on a common set of continuous integration and continuous delivery (CI/CD) pipelines.

For a current list of AWS Regions and countries/territories where Outposts racks are supported, check out the Outposts rack FAQs page.

To learn more, read this blog post.

Amazon DynamoDB Accelerator now supports R7i instances

Amazon DynamoDB Accelerator (DAX) now supports R7i instances, powered by custom 4th Generation Intel Xeon Scalable processors. R7i instances provide instance sizes up to 24xlarge, feature an 8:1 ratio of memory to vCPU, and include the latest DDR5 memory. These instances are now available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), and South America (Sao Paulo).\n DAX is a fully managed, highly available caching service built for Amazon DynamoDB that improves performance from milliseconds to microseconds - up to 10 times faster - even at millions of requests per second. As a fully compatible service with existing DynamoDB API calls, DAX requires no application logic modification. The service manages all aspects of cache invalidation, data population, and cluster management, allowing developers to focus on building applications without worrying about performance at scale. For more information about R7i instance pricing, see DynamoDB pricing. To get started with DAX, see DAX: How It Works.

Amazon Q Developer CLI now supports Model Context Protocol (MCP)

Today, Amazon Q Developer announced support for Model Context Protocol (MCP) in Amazon Q Developer Command Line Interface (CLI), enabling developers to leverage tools and prompts to support richer contextual, development workflows. MCP is an open protocol that standardizes how AI models can, in a secure and structured way, access external tools, data sources, and APIs.\n Before this launch, you could only use the tools that were natively available in Q Developer CLI to help generate code and execute development workflows. With MCP tools support, now you can integrate into Q Developer CLI tools from an expansive list of AWS pre-built integrations or MCP Servers that support the stdio transport layer. This allows Q Developer to provide more customized responses by orchestrating tasks across native and MCP server based tools. To get started with using an MCP server in Amazon Q Developer CLI and explore its new capabilities, visit the Amazon Q Developer documentation or read this blog to learn more.

Amazon S3 Access Grants are now available in the AWS Asia Pacific (Malaysia) Region

You can now create Amazon S3 Access Grants in the AWS Asia Pacific (Malaysia) Region.\n Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity. Visit the AWS Region Table for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our product page.

Amazon ElastiCache now supports Global Datastore in 15 additional Regions

Amazon ElastiCache now supports Global Datastore in the Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Thailand), Africa (Cape Town), Canada West (Calgary), Europe (Milan, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), and Middle East (Bahrain, UAE) Regions. Global Datastore is a feature of ElastiCache that provides fully managed, fast, reliable, and secure cross-Region replication. Using Global Datastore, you can write to your ElastiCache cluster in one Region and have the data available for read in two other cross-Region replica clusters, thereby enabling low-latency reads and disaster recovery across Regions.\n Customers use Global Datastore for real-time applications with a global footprint, as it provides cross-Region replication with latency of typically under one second, increasing application responsiveness by providing geo-local reads closer to end users. In the unlikely event of regional degradation, one of the healthy cross-Region replica clusters can be promoted to become the primary cluster with full read and write capabilities. Once initiated, the promotion typically completes in less than a minute, allowing applications to remain available. To secure cross-Region data transfer traffic, Global Datastore uses encryption in transit. To get started, you can set up a Global Datastore with an existing cluster, or create new clusters and designate a primary (active) cluster. Creating a Global Datastore takes only a few clicks in the AWS Management Console for ElastiCache or can be automated by downloading the latest AWS SDK or AWS CLI. For pricing and the regional availability, refer to the Amazon ElastiCache pricing page and our documentation.

AWS Amplify introduces data seeding

AWS Amplify now supports seeding data across Amazon Cognito, AWS AppSync, Amazon DynamoDB, and Amazon S3. Developers can programmatically create test users and associated resources through new APIs and a CLI command.\n This feature simplifies testing and development workflows by enabling quick population of auth-dependent resources. Create Cognito users, seed DynamoDB records via AppSync with user context, and upload S3 objects - all while maintaining proper authentication relationships. This eliminates manual user creation and authentication steps previously required for testing auth-protected resources. This feature is available in all regions where AWS Amplify is supported. To learn more about implementing auth-dependent data seeding in your application, visit the AWS Amplify documentation for seeding.

AWS End User Messaging helps customers combat SMS pumping

Today, AWS End User Messaging introduces new features to help developers combat artificially inflated traffic (AIT), also known as SMS pumping. AIT occurs when bad actors use automated systems or bots to trigger large volumes of SMS messages, leading to unexpected charges that can cost businesses millions of dollars each year.\n End User Messaging SMS Protect now allows developers to configure AIT detections setting rules for entire countries or specific messaging use cases. The granular control helps developers more accurately identify potential abuse while allowing legitimate messages to be delivered. End User Messaging now identifies and block messages that have a potential pumping risk with results shown on in-console dashboards, CloudWatch metrics, and in SMS events. These new AIT mitigations are available in all AWS Regions where AWS End User Messaging is offered. SMS protect AIT monitoring and filter is priced at $0.01 per message in addition to standard SMS fees. Customers will not be charged SMS per-message fees for messages blocked by SMS protect. To learn more about these new features, visit the Protect in the AWS End User Messaging SMS User Guide. You can also get started today by visiting the AWS End User Messaging console or reviewing our API documentation.

Meta’s Llama 4 now available fully managed in Amazon Bedrock

The first models in the new Llama 4 herd of models—Llama 4 Scout 17B and Llama 4 Maverick 17B—are now available fully managed in Amazon Bedrock. You can power your applications with Llama 4 through Amazon Bedrock’s fully managed service via a single API. These advanced multimodal models empower you to build more tailored applications that respond to multiple types of media. Llama 4 offers improved performance at lower cost compared to Llama 3, with expanded language support for global applications. Featuring mixture-of-experts (MoE) architecture, these models deliver efficient multimodal processing for text and image inputs, improved compute efficiency, and enhanced AI safety measures.\n According to Meta, the smaller Llama 4 Scout 17B model is the best multimodal model in the world in its class, and is more powerful than Meta’s Llama 3 models. Scout is a general-purpose model with 17 billion active parameters, 16 experts, and 109 billion total parameters that delivers state-of-the-art performance for its class. Scout significantly increases the context length from 128K in Llama 3, to an industry leading 10 million tokens. This enables many practical applications, including multi-document summarization, parsing extensive user activity for personalized tasks, and reasoning over vast code bases. Llama 4 Maverick 17B is a general-purpose model that features 128 experts, 400 billion total parameters, and a 1 million context length. It excels in image and text understanding across 12 languages, making it suitable for versatile assistant and chat applications. Meta’s Llama 4 models are available in Amazon Bedrock in the US East (N. Virginia) and US West (Oregon) AWS Regions. You can also access Llama 4 in US East (Ohio) via cross-region inference. To learn more, read the launch blog, product page, Amazon Bedrock pricing, and documentation. To get started with Llama 4 in Amazon Bedrock, visit the Amazon Bedrock console.

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