ACUVA

Your Accurate Search for New Technology

Amazon CloudWatch Agent adds support for NVMe Local Volume Performance Statistics

By

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.

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.

Mountpoint for Amazon S3 and Mountpoint for Amazon S3 CSI driver add monitoring capability

By

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.

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 .

Amazon Kinesis Data Streams launches On-demand Advantage mode

By

Amazon Kinesis Data Streams launches On-demand Advantage, so customers can warm on-demand streams to handle instant throughput increases up to 10GB or 10 million events per second, eliminating the need to over-provision or build custom scaling solutions. Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale. On-demand streams automatically scale capacity based on data usage, and now you can warm write capacity ad hoc. On-demand Advantage also provides a simpler pricing structure that removes the fixed, per-stream charge, so customers only pay for data usage at better rates.

On-demand Advantage offers data usage with 60% lower pricing compared to On-demand Standard, with data ingest at $0.032/GB and data retrieval at $0.016/GB in the US East (N. Virginia) region. The price of Enhanced fan-out data retrieval is the same as shared-throughput retrievals, making higher fan-out use cases more cost effective. The mode also decreases the price of extended retention by 77% from $0.10/GB-month to $0.023/GB-month. Once you enable On-demand Advantage mode, the account will be billed for a minimum of 25MB/s of data ingest and 25MB/s of data retrieval at the lower rates across all on-demand streams. The new pricing means On-demand Advantage is the most cost effective way to stream with Kinesis Data Streams when you ingest at least 10MB/s in aggregate, fan out to more than two consumer applications, or have hundreds of streams in a region. You can check directly in the Kinesis console and the pricing page if On-demand Advantage is a good fit for your account.

On-demand Advantage is available in all AWS regions where Kinesis Data Streams is available, including AWS GovCloud (US) and China regions. To learn more, see the launch blog and the Kinesis Data Streams User Guide .

Amazon CloudWatch Synthetics adds multi-browser support in AWS GovCloud Regions

By

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.

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

By

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.

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 . 

AWS Config now supports 49 new resource types

By

AWS Config now supports 49 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.

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::Glue::Registry
AWS::ApiGateway::Method AWS::IoTCoreDeviceAdvisor::SuiteDefinition
AWS::ApiGateway::UsagePlan AWS::MediaPackageV2::Channel
AWS::AppConfig::Extension AWS::MediaPackageV2::ChannelGroup
AWS::Bedrock::ApplicationInferenceProfile AWS::MediaTailor::LiveSource
AWS::Bedrock::Prompt AWS::MSK::ServerlessCluster
AWS::BedrockAgentCore::BrowserCustom AWS::PaymentCryptography::Alias
AWS::BedrockAgentCore::CodeInterpreterCustom AWS::PaymentCryptography::Key
AWS::BedrockAgentCore::Runtime AWS::RolesAnywhere::CRL
AWS::CloudFormation::LambdaHook AWS::RolesAnywhere::Profile
AWS::CloudFormation::StackSet AWS::S3::AccessGrant
AWS::Comprehend::Flywheel AWS::S3::AccessGrantsInstance
AWS::Config::AggregationAuthorization AWS::S3::AccessGrantsLocation
AWS::DataSync::Agent AWS::SageMaker::DataQualityJobDefinition
AWS::Deadline::Fleet AWS::SageMaker::MlflowTrackingServer
AWS::Deadline::QueueFleetAssociation AWS::SageMaker::ModelBiasJobDefinition
AWS::EC2::IPAMPoolCidr AWS::SageMaker::ModelExplainabilityJobDefinition
AWS::EC2::SubnetNetworkAclAssociation AWS::SageMaker::ModelQualityJobDefinition
AWS::EC2::VPCGatewayAttachment AWS::SageMaker::MonitoringSchedule
AWS::ECR::RepositoryCreationTemplate AWS::SageMaker::StudioLifecycleConfig
AWS::ElasticLoadBalancingV2::TargetGroup AWS::SecretsManager::RotationSchedule
AWS::EMR::Studio AWS::SES::DedicatedIpPool
AWS::EMRContainers::VirtualCluster AWS::SES::MailManagerTrafficPolicy
AWS::EMRServerless::Application AWS::SSM::ResourceDataSync
AWS::EntityResolution::MatchingWorkflow

To view the complete list of AWS Config supported resource types, see the supported resource types page.

Scroll Up