11/3/2025, 12:00:00 AM ~ 11/4/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon CloudWatch Synthetics adds multi-browser support in AWS GovCloud Regions
Amazon CloudWatch Synthetics multi-browser support is now available in the AWS GovCloud (US-East, US-West) Regions. This expansion enables customers in these two regions to test and monitor their web applications using both Chrome and Firefox browsers.\n With this launch, you can run the same canary script across Chrome and Firefox when using Playwright-based canaries or Puppeteer-based canaries. CloudWatch Synthetics automatically collects browser-specific performance metrics, success rates, and visual monitoring results while maintaining an aggregate view of overall application health. This helps development and operations teams quickly identify and resolve browser compatibility issues that could affect application reliability. To learn more about configuring multi-browser canaries, see the canary docs in the Amazon CloudWatch Synthetics User Guide.
Amazon Cognito removes Machine-to-Machine app client price dimension
We’re excited to announce a simplified pricing model for Amazon Cognito’s machine-to-machine (M2M) authentication. Starting today we are removing the M2M app client pricing dimension, making it more cost-effective for customers to build and scale their M2M applications. Cognito supports applications that access API data with machine identities. Machine identities in user pools are clients that run on application servers and connect to remote APIs. Their operation happens without user interaction such as scheduled tasks, data streams, or asset updates. This change reduces the pricing of Cognito for customers using M2M authentication by removing the app client price dimension. Customers will continue to be charged based on the number of successful M2M token requests per month.\n Previously, customers were charged for each M2M app client registered, regardless of usage amount, and each successful token request made by the app client to access a resource. With this change, customers will only pay for their successful token requests, making it more cost-effective to build and scale M2M applications using Amazon Cognito. This pricing change is automatic and requires no action from customers. It is effective in all supported Amazon Cognito regions. To learn more about Amazon Cognito pricing, visit our pricing page.
Amazon CloudWatch Agent adds support for NVMe Local Volume Performance Statistics
Amazon CloudWatch agent now supports the collection of detailed performance metrics for NVMe local volumes on Amazon EC2 instances. These metrics give you insights into behavior and performance characteristics of your NVMe local storage.\n The CloudWatch agent can now be configured to collect and send detailed NVMe metrics to CloudWatch, providing deeper visibility into storage performance. The new metrics include comprehensive performance indicators such as queue depths, I/O sizes, and device utilization. These metrics are similar to the detailed performance statistics available for EBS volumes, providing a consistent monitoring experience across both storage types. You can create CloudWatch dashboards, set alarms, and analyze trends for your NVMe-based instance store volumes. Detailed performance statistics for Amazon EC2 instance store volumes via Amazon CloudWatch agent are available for all local NVMe volumes attached to Nitro-based EC2 instances in all AWS Commercial and AWS GovCloud (US) Regions. See the Amazon CloudWatch pricing page for CloudWatch pricing details. To get started with detailed performance statistics for Amazon EC2 instance store volumes in CloudWatch, see Collect Amazon EC2 instance store volume NVMe driver metrics in the Amazon CloudWatch User Guide. To learn more about detailed performance statistics for Amazon EC2 instance store volumes, see Amazon EC2 instance store volumes in the Amazon EC2 User Guide.
AWS Config now supports 52 new resource types
AWS Config now supports 52 additional AWS resource types across key services including Amazon EC2, Amazon Bedrock, and Amazon SageMaker. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.\n With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:
Resource Types
AWS::ApiGateway::DomainName AWS::IAM::GroupPolicy
AWS::ApiGateway::Method AWS::IAM::RolePolicy
AWS::ApiGateway::UsagePlan AWS::IAM::UserPolicy
AWS::AppConfig::Extension AWS::IoTCoreDeviceAdvisor::SuiteDefinition
AWS::Bedrock::ApplicationInferenceProfile AWS::MediaPackageV2::Channel
AWS::Bedrock::Prompt AWS::MediaPackageV2::ChannelGroup
AWS::BedrockAgentCore::BrowserCustom AWS::MediaTailor::LiveSource
AWS::BedrockAgentCore::CodeInterpreterCustom AWS::MSK::ServerlessCluster
AWS::BedrockAgentCore::Runtime AWS::PaymentCryptography::Alias
AWS::CloudFormation::LambdaHook AWS::PaymentCryptography::Key
AWS::CloudFormation::StackSet AWS::RolesAnywhere::CRL
AWS::Comprehend::Flywheel AWS::RolesAnywhere::Profile
AWS::Config::AggregationAuthorization AWS::S3::AccessGrant
AWS::DataSync::Agent AWS::S3::AccessGrantsInstance
AWS::Deadline::Fleet AWS::S3::AccessGrantsLocation
AWS::Deadline::QueueFleetAssociation AWS::SageMaker::DataQualityJobDefinition
AWS::EC2::IPAMPoolCidr AWS::SageMaker::MlflowTrackingServer
AWS::EC2::SubnetNetworkAclAssociation AWS::SageMaker::ModelBiasJobDefinition
AWS::EC2::VPCGatewayAttachment AWS::SageMaker::ModelExplainabilityJobDefinition
AWS::ECR::RepositoryCreationTemplate AWS::SageMaker::ModelQualityJobDefinition
AWS::ElasticLoadBalancingV2::TargetGroup AWS::SageMaker::MonitoringSchedule
AWS::EMR::Studio AWS::SageMaker::StudioLifecycleConfig
AWS::EMRContainers::VirtualCluster AWS::SecretsManager::RotationSchedule
AWS::EMRServerless::Application AWS::SES::DedicatedIpPool
AWS::EntityResolution::MatchingWorkflow AWS::SES::MailManagerTrafficPolicy
AWS::Glue::Registry AWS::SSM::ResourceDataSync
To view the complete list of AWS Config supported resource types, see the supported resource types page.
Mountpoint for Amazon S3 and Mountpoint for Amazon S3 CSI driver add monitoring capability
You can now monitor Mountpoint operations in observability tools such as Amazon CloudWatch, Prometheus, and Grafana. With this launch, Mountpoint emits near real-time metrics such as request count or request latency using OpenTelemetry Protocol (OTLP), an open source data transmission protocol. This means you can use applications such as CloudWatch agent or the OpenTelemetry (OTel) collector to publish the metrics into observability tools and create dashboards for monitoring and troubleshooting.\n Previously, Mountpoint emitted operational data into log files, and you needed to create custom tools to parse the log files for insights. Now, when you mount your Amazon S3 bucket, you can configure Mountpoint to publish the metrics to an observability tool to proactively monitor issues that might impact your applications. For example, you can check if an application is unable to access S3 due to permission issues by analyzing the S3 request error metric that provides error types at an Amazon EC2 instance granularity. Follow the step-by-step instructions to set up the CloudWatch agent or the OTel collector and configure Mountpoint to publish metrics into an observability tool. For more information, visit the Mountpoint for Amazon S3 GitHub repository, Mountpoint product page, and Mountpoint for Amazon S3 CSI driver GitHub page.
AWS Blogs
AWS Japan Blog (Japanese)
AWS News Blog
- AWS Weekly Roundup: Project Rainier online, Amazon Nova, Amazon Bedrock, and more (November 3, 2025)
AWS Cloud Operations Blog
AWS Big Data Blog
- Amazon Kinesis Data Streams launches On-demand Advantage for instant throughput increases and streaming at scale
- Scaling data governance with Amazon DataZone: Covestro success story
AWS Contact Center
AWS Database Blog
- Building secure Amazon ElastiCache for Valkey deployments with Terraform
- PostgreSQL as a JSON database: Advanced patterns and best practices
Desktop and Application Streaming
AWS DevOps & Developer Productivity Blog
AWS HPC Blog
AWS for Industries
- Inocras reduced genome analysis costs by 72% with AWS HealthOmics
- AWS Professional Services and BMW collaborate to optimize petabyte-scale storage costs for automated driving data
- AWS accelerates healthcare AI innovation to leaders in Greater China region
- Transforming healthcare enrollment with agentic AI for payors
- Generator interconnection automation using multi-agent collaboration