Amazon Managed Service for Prometheus supports 1.5B active metrics and 200K rules per workspace

Amazon Managed Service for Prometheus now supports up to 1.5 billion active metric time series and up to 200,000 total recording and alerting rules per workspace. Customers can also create many workspaces per account, enabling the storage and analysis of billions of Prometheus metrics across their organization.
Amazon Managed Service for Prometheus is a fully managed, Prometheus-compatible monitoring service that makes it easy to monitor and alert on operational metrics at scale. It automatically scales ingestion and storage for high-cardinality workloads across containerized, serverless, and hybrid environments, and integrates with AWS security services for fast, secure access to data.
To get started, create an Amazon Managed Service for Prometheus workspace and increase your workspace active series or rules limits by filing a service limit increase request in AWS Support Center or AWS Service Quotas.
Quelle: aws.amazon.com

Amazon ECS now provides Action Logs for deployment and orchestration visibility

Today, Amazon Elastic Container Service (Amazon ECS) introduces Action Logs, a new observability feature that delivers detailed, timestamped records of the actions Amazon ECS performs on behalf of customers during service deployments and ECS Managed Daemon updates. By surfacing service-side operations that were previously invisible, Action Logs help you monitor and troubleshoot your workloads directly, without contacting AWS Support or manually correlating data from multiple sources.
With Action Logs, you gain visibility into key deployment state transitions of service deployments, Managed Daemon updates. Each log entry includes the event name, log level(INFO, WARN, OR ERROR), relevant resource ARNs, and a status reason, helping you reduce mean time to resolution when issues arise. You can opt in at the cluster level through the Amazon ECS console or by using Amazon CloudWatch vended logs APIs, and choose to deliver logs to Amazon CloudWatch Logs, Amazon S3, or Amazon Kinesis Data Firehose depending on your operational needs. At launch, Amazon Q in the Amazon ECS console integrates with Action Logs to automatically detect deployment issues such as circuit breaker rollbacks and unstable service revisions, providing customers with root cause analysis, resource-level comparisons, and step-by-step remediation guidance without leaving the console. Standard CloudWatch Logs, Amazon S3, or Amazon Data Firehose pricing applies for log ingestion and storage. For pricing details, see Amazon CloudWatch Pricing.
Amazon ECS Action Logs are available in all AWS Regions, including the AWS GovCloud (US) Regions. To learn more, refer Monitor Amazon ECS operations with Action Logs in Amazon ECS Developer Guide.
Quelle: aws.amazon.com

Amazon SES introduces pricing plans

Today, Amazon Simple Email Service (SES) introduced pricing plans, making it easy to purchase and access SES capabilities without evaluating them individually. Amazon SES pricing plans include three hierarchical options: Essentials, Pro, and Enterprise. Each plan builds on the one before it, offering progressively more capability at a discount compared to à-la-carte pricing.
Businesses depend on email reaching the inbox and getting read, but the capabilities needed to ensure this have traditionally been sold as individual add-ons that must be evaluated and purchased independently. With pricing plans, customers pick a plan and have access to the right capabilities at no additional cost. Essentials provides deliverability insights, Pro adds managed dedicated IPs, email validation, and global inbox placement visibility to proactively prevent problems, and Enterprise adds multi-region resilience, workload-level reputation isolation, and an annual deliverability assessment.
Pricing plans are available in all AWS Regions where Amazon SES is available, except the Middle East (UAE) and Middle East (Bahrain) Regions.
To get started, sign in to the Amazon SES console and navigate to the pricing plan section. To learn more, visit the Amazon SES Pricing page or the Amazon SES Developer Guide.
Quelle: aws.amazon.com

Amazon EC2 I8ge instances are now available in AWS GovCloud (US) Regions

Amazon Web Services (AWS) announces the availability of Amazon EC2 I8ge instances in AWS GovCloud (US-East, US-West) regions. I8ge instances are powered by AWS Graviton4 processors and deliver up to 60% better compute performance compared to previous generation Graviton2-based storage optimized Amazon EC2 instances. I8ge instances use the third generation AWS Nitro SSDs, local NVMe storage, and deliver up to 55% better real-time storage performance per TB compared to previous generation Amazon EC2 Im4gn instances. They offer up to 60% lower storage I/O latency and up to 75% lower storage I/O latency variability compared to Im4gn instances.
I8ge instances are storage-optimized instances, and offer up to 120TB of local NVMe storage. They are ideal for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large datasets. These versatile instances are offered in eleven different sizes including two metal sizes, providing flexibility to match customers’ computational needs. They deliver up to 180 Gbps of network performance bandwidth and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications.
To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs. To learn more, visit the I8ge instances page. 
Quelle: aws.amazon.com

AWS Data Exports now provides standardized Amazon Bedrock product metadata

Today, AWS announces standardized product metadata for Amazon Bedrock in AWS Data Exports (Cost and Usage Report), giving FinOps teams and cloud administrators consistent, structured attributes to understand  Bedrock costs. AWS Data Exports lets you create customized exports of your AWS cost and usage data and deliver them to Amazon S3 for querying with Amazon Athena or loading into your data warehouse. With these attributes, you can attribute Bedrock spend without building custom logic to parse various product metadata in CUR 2.0.
The standardized attributes include model provider, model name, pricing unit, inference type (such as input tokens or output tokens), and feature (the inference serving mode, such as On-Demand or Batch), along with a unified “Amazon Bedrock” product family name that consolidates all Bedrock costs. In CUR 2.0, the model provider, model name, inference type, and feature attributes are available in the product map column, and pricing unit is available as a column. The standardized fields are available by default, at no additional cost, to Amazon Bedrock customers using AWS Data Exports.
To learn more, visit the Amazon Bedrock product page, and see Product columns in the AWS Data Exports User Guide for the standardized product attributes.
Quelle: aws.amazon.com