5/28/2025, 12:00:00 AM ~ 5/29/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon FSx for NetApp ONTAP now supports write-back mode for ONTAP FlexCache volumes
Amazon FSx for NetApp ONTAP, a service that provides fully managed shared storage built on NetApp’s popular ONTAP file system, now supports write-back mode for ONTAP FlexCache volumes. Write-back mode is a new ONTAP capability that helps you achieve faster performance for your write-intensive workloads that are distributed across multiple AWS Regions and on-premises file systems.\n FlexCache is an ONTAP caching technology that enables distributed access to data. Previously, FlexCache only supported write-around mode, where every write operation to a FlexCache volume had to go back to the origin volume before it was acknowledged, increasing write latency. Starting today, FSx for ONTAP now supports the new write-back mode for FlexCache. Write-back mode improves the performance of write-heavy workloads by caching writes locally on FlexCache volumes and asynchronously updating the origin volume, reducing write latency. You can now use write-back mode to improve write performance for write-intensive distributed applications such as collaborative content creation, distributed databases, and engineering workflows that need to operate across multiple AWS Regions or between cloud and on-premises environments. Starting today, you can enable FlexCache write-back mode at no additional cost on all FSx for ONTAP file systems in all AWS Regions where the service is available. For more information, refer to the FSx for ONTAP User Guide.
Amazon EC2 C8gd, M8gd, and R8gd instances are now available Europe (Spain) and Asia Pacific (Tokyo)
Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances, M8gd instances, and R8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in AWS Regions Europe (Spain) and Asia Pacific (Tokyo). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage.\n Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. These instances are now available in AWS Regions US East (Ohio, N. Virginia), US West (Oregon), Europe (Frankfurt, Spain), and Asia Pacific (Tokyo). To learn more, see Amazon C8gd instances, Amazon M8gd Instances, and Amazon R8gd Instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton.
Amazon DocumentDB (with MongoDB compatibility) Announces 99.99% Service Level Agreement
Amazon DocumentDB (with MongoDB compatibility) announces an updated Service Level Agreement (SLA), promising a 99.99% availability when using a Multi-Availability Zone (Multi-AZ) configuration. Previously, Amazon DocumentDB offered a 99.9% SLA. Now, Amazon DocumentDB has updated the SLA to 99.99%, increasing our commitment to service availability.\n Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. The updated SLA for Amazon DocumentDB applies to all regions where DocumentDB is generally available, at no additional cost. To learn more about Amazon DocumentDB, please see our product page and documentation.
Amazon CloudWatch Synthetics Adds Java Runtime for Lightweight API Monitoring
Amazon CloudWatch Synthetics now supports the Java programming language for authoring canaries, enabling developers to write monitoring scripts using the Java 21 runtime environment. This new runtime, syn-java-1.0, allows customers to leverage existing Java expertise to continuously monitor the availability and performance of their services and applications using CloudWatch Synthetics.\n With Java support, customers can now bring their existing Java-based tests—often used in integration pipelines—into production environments as part of their synthetic monitoring strategy. These canaries support modular step execution with built-in metric generation, queryable logs using the canaryRunId, and optional X-Ray tracing to visualize request paths across services. The Java runtime is designed for non-browser use cases, making canaries lightweight and faster and letting customers bring their own libraries and frameworks suited to their differentiated monitoring needs. Customers can use Java build tools like Maven or Gradle to package their monitoring code—along with a synthetics.json configuration file—into a deployable ZIP artifact, which can then be used with the Synthetics APIs, SDKs, or infrastructure-as-code tools such as Terraform and CloudFormation for deploying canaries. The Java runtime is now available in all commercial AWS Regions where CloudWatch Synthetics is supported. Visit this page to learn more about the features and support policy for the Java runtime, or visit CloudWatch Synthetics user guide to create your first canary today.
AWS Network Firewall Adds Support for Multiple VPC Endpoints
AWS Network Firewall now supports configuring multiple VPC endpoints for a single firewall. This new capability gives you more options to scale your Network Firewall deployment across multiple Amazon Virtual Private Clouds (VPCs), using a centralized security policy.\n AWS Network Firewall is a managed, cloud-native firewall service that makes it easy to deploy essential network protections for all your Amazon VPCs. A Network Firewall instance is deployed within a VPC subnet, with a VPC endpoint providing a secure connection to the firewall. Now you can associate up to 50 VPC endpoints per Availability Zone with the firewall and route traffic through the firewall for inspection, reducing operational complexity and lowering costs as you protect more VPCs. The multiple VPC endpoints feature is supported in all AWS Regions where AWS Network Firewall is available today, including the AWS GovCloud (US) Regions and China Regions. You can enable multiple VPC endpoints from the Amazon VPC Console or the Network Firewall API. To learn more about this feature and pricing, please see the AWS Network Firewall product page and service documentation.
Cost Optimization Hub now supports Savings Plans and reservations preferences
Cost Optimization Hub, a feature within the Billing and Cost Management Console, now allows you to configure preferred Savings Plans and reservation term and payment options preferences, so you can see your resulting recommendations and savings potential based on your preferred commitments.\n Cost Optimization Hub allows you to easily identify, filter, and aggregate AWS cost optimization recommendations, such as EC2 instance rightsizing recommendations, graviton recommendations, idle recommendations, reservations recommendations and Savings Plans recommendations. By providing new preferences, you can now select 1 or 3 year term lengths, as well as All upfront, Partial upfront, and No upfront payment options. This helps align the savings potential with your organization’s preferred commitment settings, giving you even more accurate potential savings. Cost Optimization Hub is available at no additional charge in all AWS Regions, except for the AWS China Regions and AWS GovCloud (US) Regions. You can start using Cost Optimization Hub and the new Preferences options through the AWS Management Console, AWS CLI, or AWS SDK. Visit product details page and user guides to learn more.
Amazon Neptune announces MCP (Model Context Protocol) Server
Today, AWS announces the launch of the Amazon Neptune MCP Server, now available in the AWS MCP open-source repository. This new server makes it easier for developers and AI assistants to interact with Amazon Neptune, enabling seamless integration of graph queries into generative AI workflows.\n Part of AWS’s growing suite of Model Context Protocol (MCP) tools, the Neptune MCP Server supports openCypher and Gremlin queries, schema discovery, and natural language querying. Users can now seamlessly integrate Neptune into MCP capable tools like Amazon Q CLI, Cursor, Claude Code, as well as the ability to ask questions in plain English and receive accurate graph responses—without writing complex code. Whether you’re building a knowledge graph, analyzing relationships, or powering an AI assistant, the Neptune MCP Server lets you explore and query graph data more intuitively and efficiently than ever before. Amazon Neptune MCP Server is now available in all AWS regions where Amazon Neptune is offered. For more details, learn more about Neptune MCP Server on our blog.
AWS Backup enhances Amazon EC2 restores with custom volume configuration support
AWS Backup now offers enhanced Amazon EC2 restore capability that allows you to customize volume configurations during the restoration process. This new feature enables users to specify custom settings for all the attached Amazon EBS volumes to an EC2 AMI, including volume type, size, IOPS, AWS KMS encryption keys and others, directly through AWS Backup. The capability works seamlessly for restores from standard backup vaults and logically air-gapped vaults.\n You can start using this feature through the AWS Backup CLI, or SDK. During EC2 backup restoration, you can now include a new section (block device mappings) in your restore metadata to configure Amazon EBS volume settings. You can also specify additional volumes in the block device mappings to attach when launching the instance. The enhancement applies to both existing and new EC2 backups and is available at no extra cost. AWS Backup support for enhanced EC2 restores is available in all commercial and AWS GovCloud (US) Regions, where AWS Backup is supported. To learn more about AWS Backup support for this feature, visit the AWS Backup product documentation.
AWS Blogs
AWS Japan Blog (Japanese)
- New AWS Fault Injection Service Recovery Actions for Zone Auto Shift
- Contribution: Digital Innovation in the Steel Industry — JFE Steel Co., Ltd. challenges the path to infrastructure renewal with AWS
AWS Architecture Blog
AWS Big Data Blog
AWS Compute Blog
Containers
AWS Database Blog
- Automate Amazon RDS for PostgreSQL major or minor version upgrade using AWS Systems Manager and Amazon EC2
- Supercharging vector search performance and relevance with pgvector 0.8.0 on Amazon Aurora PostgreSQL
AWS HPC Blog
AWS for Industries
AWS Machine Learning Blog
- Part 3: Building an AI-powered assistant for investment research with multi-agent collaboration in Amazon Bedrock and Amazon Bedrock Data Automation
- A generative AI prototype with Amazon Bedrock transforms life sciences and the genome analysis process
- Gemma 3 27B model now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart
- Building a multimodal RAG based application using Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases
- Tailoring foundation models for your business needs: A comprehensive guide to RAG, fine-tuning, and hybrid approaches
- How Rufus doubled their inference speed and handled Prime Day traffic with AWS AI chips and parallel decoding