8/5/2025, 12:00:00 AM ~ 8/6/2025, 12:00:00 AM (UTC)
Recent Announcements
Systems Manager Run Command now supports interpolating parameters into environment variables
AWS Systems Manager (SSM) Run Command now allows customers to interpolate parameters into environment variables before command execution. Run Command allows customers to define commands that will be executed on managed instances via the SSM Agent. By interpolating parameters into environment variables, this new feature makes it easier for customers to prevent unintended command injection by handling parameters as literal strings.\n Run Command is available in all AWS Commercial and AWS GovCloud (US) Regions. To get started, ensure that you are using SSM Command Documents with Schema version 2.2 and that your SSM Agent is updated to version 3.3.2746.0 or higher. To learn more about Run Command, see the Systems Manager documentation.
Amazon RDS io2 Block Express now available in all commercial regions
Amazon RDS io2 Block Express volumes are now available in all commercial regions, except and AWS GovCloud (US) and AWS China regions. Amazon RDS io2 Block Express volumes provide consistent sub-millisecond latency for mission critical workloads.\n Amazon RDS io2 Block Express volumes are designed for all your critical database workloads that demand high performance, high throughput, and consistently low latency. io2 Block Express storage has the lowest p99.9 I/O latency and the best outlier latency control among major cloud providers, making it ideal for the most I/O-intensive, mission-critical database workloads. io2 Block Express supports 99.999% durability, up to 64 TiB volumes, 4,000 MB/s throughput, and up to 256,000 Provisioned IOPS for your most demanding database needs for the same price as Amazon RDS io1 volumes. You can upgrade from an Amazon RDS io1 volume to an Amazon RDS io2 Block Express without any downtime using the ModifyDBInstance API.
To learn more about Amazon RDS storage, visit the Amazon RDS User’s Guide. Create or update a fully managed Amazon RDS database with an io2 Block Express volume or modify an existing io1, gp2, or gp3 volume type without disruptions in the Amazon RDS Management Console.
Anthropic’s Claude Opus 4.1 now in Amazon Bedrock
Customers can now use Anthropic’s Claude Opus 4.1 in Amazon Bedrock. Claude Opus 4.1 is Anthropic’s most intelligent model to date and an industry leader for coding and agents.\n Claude Opus 4.1 is a drop-in replacement for Opus 4 and delivers superior performance and precision for real-world coding and agentic tasks. Its advanced coding capabilities include independently planning and executing complex end-to-end development tasks while adapting to your style and maintaining high quality. The model also offers improved frontend code generation, delivering strong visual output quality with a focus on effectively handling complex logic. Opus 4.1’s long-horizon task handling and complex problem-solving abilities make it an ideal virtual collaborator for sustained reasoning and long chains of actions. It also enhances AI agent performance, enabling agents to tackle complex, multi-step tasks with peak accuracy. Anthropic believes Opus 4.1 shines in agentic search and research, content creation, memory and context management—allowing for comprehensive insight synthesis, high-quality content production, and effective summarization.
Claude Opus 4.1 is now available in Amazon Bedrock in US West (Oregon), US East (N. Virginia), and US East (Ohio). To get started with Claude Opus 4.1 in Amazon Bedrock, visit the Amazon Bedrock console, Anthropic’s Claude in Amazon Bedrock product page, and the Amazon Bedrock pricing page.
Amazon EC2 C8g instances now available in additional regions
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in Asia Pacific (Seoul, Jakarta, Hyderabad, Thailand) regions. 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.\n 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 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 Management Console.
AWS announces general availability of Amazon Elastic VMware Service (Amazon EVS)
Today, AWS announces the general availability of Amazon Elastic VMware Service (Amazon EVS), allowing you to run VMware Cloud Foundation (VCF) directly within your Amazon Virtual Private Cloud (Amazon VPC). With Amazon EVS, you can leverage the scale, elasticity, and performance of AWS while maintaining your familiar VCF software and existing skills, eliminating the need to re-platform or re-factor applications during your migration.\n Amazon EVS offers you choice, control, and flexibility in managing your VMware environments. You can self-manage your infrastructure or leverage the expertise of AWS Partners to manage and operate your VCF environment on AWS. The service allows you to retain control over your VMware architecture in the cloud with full administrative access to your environment. Meet your unique needs as you optimize your virtualization stack on AWS and integrate preferred external storage, backup, and disaster recovery solutions. You can also take advantage of flexible consumption models, including on-demand, one-year, and three-year options, enabling cost optimization. Amazon EVS combines the benefits of AWS with a ready-to-use VCF environment so you can migrate, scale, and optimize with over 200 fully featured services, from advanced generative AI capabilities to foundational compute, storage, and database services. With license portability entitlement, you can bring your VCF licenses to Amazon EVS. The service currently supports VCF version 5.2.1 and runs workloads on i4i.metal instances.
Amazon EVS is now generally available in six AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). To get started with Amazon EVS, access the service through the AWS Console. For more information about features and pricing, visit the Amazon EVS product page and refer to the documentation to help you get started.
AWS Parallel Computing Service now supports Internet Protocol Version 6 (IPv6)
AWS Parallel Computing Service (PCS) now supports Internet Protocol Version 6 (IPv6) for Slurm endpoints, enabling customers to run workloads in IPv6-only or dual-stack Amazon Virtual Private Clouds (VPCs). This helps customers meet IPv6 compliance requirements.\n PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use PCS to build complete, elastic environments that integrate compute, storage, networking, and visualization tools. PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure. PCS support for IPv6 is available in all AWS Regions where PCS is available. Visit our getting started documentation to start using the feature.
AWS Elastic Beanstalk now supports FIPS 140-3 enabled interface VPC endpoints
AWS Elastic Beanstalk now supports VPCE endpoints that have been validated under the Federal Information Processing Standard (FIPS) 140-3 program. You can now easily use AWS PrivateLink to access Elastic Beanstalk endpoints when you require a secure connection using a FIPS 140-3 validated cryptographic module.\n FIPS compliant endpoints help companies contracting with the US federal government meet the FIPS security requirement to encrypt sensitive data in supported regions. To create a VPC endpoint that connects to an Elastic Beanstalk endpoint, see Setting up a VPC endpoint for Elastic Beanstalk. This new capability is available in all AWS Commercial Regions in the United States. For a complete list of regions and service offerings, see AWS Regions. For more information about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
Amazon OpenSearch Serverless now supports backup and restore
Amazon OpenSearch Serverless has added support for backup and restore. System will backup all collections/indexes in the account automatically every hour. The backups are retained for 14 days and available to restore indexes using APIs. The feature is automatically enabled and does not require users to configure.\n Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.
AWS Resource Explorer supports 120 new resource types
AWS Resource Explorer now supports 120 more resource types across all AWS commercial Regions from services including Amazon API Gateway, Amazon Bedrock, Amazon Kendra, Amazon Sagemaker, and more.\n With this release, customers can now search for the following resource types in AWS Resource Explorer:
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apigateway:restapis/deployments 61. iotwireless:WirelessDevice
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apigateway:restapis/resources/methods 62. iotwireless:WirelessGateway
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apigateway:restapis/resources 63. iotwireless:WirelessGatewayTaskDefinition
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apigateway:restapis/stages 64. ivs:playback-key
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apigateway:apis 65. kendra:index/access-control-configuration
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apigateway:apis/routes 66. kendra:index/data-source
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apigateway:apis/stages 67. kendra:index/faq
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appmesh:mesh/virtualGateway/gatewayRoute 68. kendra:index/featured-results-set
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appmesh:mesh/virtualRouter/route 69. kendra:index/query-suggestions-block-list
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appmesh:mesh/virtualGateway
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kendra:index/thesaurus
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appmesh:mesh/virtualRouter
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kendra:index/experience
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apprunner:autoscalingconfiguration
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kinesisvideo:channel
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apprunner:connection
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license-manager:grant
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autoscaling:autoScalingGroup
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mediapackage-vod:assets
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backup-gateway:hypervisor
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mediastore:container
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batch:job-definition
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mediatailor:channel
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bedrock:agent
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mediatailor:liveSource
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bedrock:application-inference-profile
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memorydb:snapshot
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bedrock:data-automation-project
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mobiletargeting:templates/SMS
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bedrock:flow
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mobiletargeting:templates/PUSH
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bedrock:guardrail
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mobiletargeting:templates/EMAIL
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bedrock:knowledge-base
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mq:configuration
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bedrock:prompt
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profile:domains
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bedrock:prompt-router
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proton:environment-template
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chime:app-instance
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proton:service-template
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chime:app-instance/bot
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redshift:hsmclientcertificate
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chime:app-instance/user
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s3:multiregionaccesspoint
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chime:media-insights-pipeline-configuration
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sagemaker:action
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chime:media-pipeline
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sagemaker:algorithm
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chime:media-pipeline-kinesis-video-stream-pool
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sagemaker:app
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chime:sma
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sagemaker:artifact
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chime:vc
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sagemaker:code-repository
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config:config-rule
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sagemaker:context
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connect:instance/operating-hours
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sagemaker:endpoint-config
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dms:cert
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sagemaker:experiment
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eks:eks-anywhere-subscription
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sagemaker:experiment-trial
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eks:podidentityassociation
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sagemaker:experiment-trial-component
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emr-containers:jobtemplates
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sagemaker:human-task-ui
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emr-containers:virtualclusters/endpoints
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sagemaker:image-version
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emr-containers:securityconfigurations
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sagemaker:inference-component
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events:api-destination
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sagemaker:inference-experiment
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gamelift:script
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sagemaker:model-package-group
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guardduty:detector
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sagemaker:model-package
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guardduty:malware-protection-plan
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sagemaker:model-card
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guardduty:detector/publishingDestination
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sagemaker:notebook-instance-lifecycle-config
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inspector2:filter
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sagemaker:project
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iot:billinggroup
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sagemaker:space
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iot:fleetmetric
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sagemaker:user-profile
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iot:scheduledaudit
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sagemaker:workforce
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iot:thinggroup
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sagemaker:cluster
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iot:thingtype
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sagemaker:flow-definition
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iotfleethub:application
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sagemaker:hub
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iotsitewise:access-policy
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sagemaker:mlflow-tracking-server
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iotsitewise:portal
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sagemaker:studio-lifecycle-config
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iotsitewise:project
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sagemaker:workteam
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iotwireless:Destination
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ses:dedicated-ip-pool
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iotwireless:DeviceProfile
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ssm:session
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iotwireless:FuotaTask
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synthetics:canary
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iotwireless:MulticastGroup
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transfer:server
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iotwireless:SidewalkAccount
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transfer:user
To view a complete list of all supported types, see the supported resource types page.
AWS IoT SiteWise introduces asset model interfaces
AWS IoT SiteWise is a managed service that simplifies the collection, organization, and monitoring of industrial equipment data at scale. Today, we are excited to announce asset model interfaces in AWS IoT SiteWise, a new feature that enables industrial customers to define and maintain standardized properties and metrics across similar equipment and process types, while maintaining the flexibility to accommodate equipment variations. \n Prior to asset model interfaces, users needed to define properties, metrics, and hierarchies at the individual asset model level. This process becomes extensive when scaling to hundreds or thousands of assets. Now, users can create a standardized interfaces that define required properties and metrics across multiple asset types. These interfaces act as templates that ensure consistency in data modeling while still allowing individual assets to maintain their unique characteristics. The feature includes automatic property mapping, standardized metric calculations, and simplified rollup metrics management, facilitating data aggregation and analysis across entire industrial operations. To support larger industrial operations, we have also increased service quotas for AWS IoT SiteWise Asset Model properties and hierarchies. This enhancement allows customers to scale their asset model interfaces more effectively. Asset model interfaces is available in all regions where AWS IoT SiteWise is available. Visit the AWS IoT SiteWise documentation and explore Asset Model Interface examples to see how this feature can be implemented in various industrial scenarios. For details on the new limits, please refer to the AWS Service Quotas console.
YouTube
AWS Black Belt Online Seminar (Japanese)
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing seminars and materials related to AWS relational databases from July to September 2025
- Implementing Multi-Layered Security for the AWS CodeBuild Pipeline
- AWS Weekly Roundup: Amazon DocumentDB, AWS Lambda, Amazon EC2, etc. (August 4, 2025)
- Introducing Amazon Application Recovery Controller Region Switching: Multi-Region Application Recovery Service
- [AWS Summit Japan 2025] Introducing solution demonstrations for the education industry using generative AI
- Introducing the Next Generation of Amazon Connect: Using AI to Improve Customer Relationships and Business Outcomes
AWS News Blog
AWS Cloud Operations Blog
- Best practices for analyzing AWS Config recording frequencies
- Centralized Multi-Account Application Resilience Assessment Using AWS Resilience Hub
AWS Big Data Blog
- Create an OpenSearch dashboard with Amazon OpenSearch Service
- Build a multi-tenant healthcare system with Amazon OpenSearch Service
- Integrate scientific data management and analytics with the next generation of Amazon SageMaker, Part 1
Integration & Automation
AWS for Industries
Artificial Intelligence
- GPT OSS models from OpenAI are now available on SageMaker JumpStart
- Discover insights from Microsoft Exchange with the Microsoft Exchange connector for Amazon Q Business
- Cost tracking multi-tenant model inference on Amazon Bedrock