AWS Compute Optimizer now applies AWS-generated tags to EBS snapshots created during automation AWS Compute Optimizer makes it easier to identify snapshots that are created when snapshotting and deleting unattached Amazon Elastic Block Store (EBS) volumes by automatically applying an AWS-generated tag during creation. This enhancement improves visibility and tracking of EBS snapshots created through Compute Optimizer Automation. When Compute Optimizer creates a snapshot before deleting an unattached EBS volume—whether initiated through manual actions or automation rules—the snapshot now receives the tag aws:compute-optimizer:automation-event-id with a tag value that links the snapshot to the unique identifier of the automation event that created it. This allows you to easily identify, track, and manage snapshots created through the automated optimization process, helping you maintain better governance over your backup resources and understand the source of snapshots in your environment. This is available in all AWS Regions where AWS Compute Optimizer Automation is available. To get started with automated optimization, go to the AWS Compute Optimizer console or visit the user guide documentation.

🆕 AWS Compute Optimizer tags EBS snapshots from automation with aws:compute-optimizer:automation-event-id for improved tracking and governance of optimization-related snapshots, available in all regions with Compute Optimizer Automation.

#AWS #AwsComputeOptimizer #AmazonElasticBlockStore

AWS Compute Optimizer now applies AWS-generated tags to EBS snapshots created during automation

AWS Compute Optimizer makes it easier to identify snapshots that are created when snapshotting and deleting unattached Amazon Elastic Block Store ...

#AWS #AwsComputeOptimizer #AmazonElasticBlockStore

AWS Compute Optimizer
#AWS #AWSComputeOptimizer #CloudOptimization
#CostOptimization #CloudPerformance #AWSTools
#CloudComputing #Ekascloud #TechTraining
#CloudEfficiency #AWSLearning

AWS Compute Optimizer now supports unused NAT Gateway recommendations

Today, AWS announces that AWS Compute Optimizer now supports idle resource recommendations for NAT Gateways. With this new recommendation type, you will be able to identif...

#AWS #AwsComputeOptimizer #CloudFinancialManagement

AWS Compute Optimizer now supports unused NAT Gateway recommendations Today, AWS announces that AWS Compute Optimizer now supports idle resource recommendations for NAT Gateways. With this new recommendation type, you will be able to identify NAT Gateways that are unused, resulting in cost savings. With the new unused NAT Gateway recommendation, you will be able to identify NAT Gateways that show no traffic activity over a 32-day analysis period. Compute Optimizer analyzes CloudWatch metrics including active connection count, incoming packets from source, and incoming packets from destination to validate if NAT Gateways are truly unused. To avoid recommending critical backup resources, Compute Optimizer also examines if the NAT Gateway resource is associated in any AWS Route Tables. You can view the total savings potential of these unused NAT Gateways and access detailed utilization metrics to verify unused conditions before taking action. This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.

🆕 AWS Compute Optimizer now recommends unused NAT Gateways, helping you identify idle resources for cost savings. Available in most regions, it analyzes traffic metrics and route tables to ensure recommendations are safe.

#AWS #AwsComputeOptimizer #CloudFinancialManagement

Announcing AWS Compute Optimizer automation rules

Today, we are introducing automation rules, a new feature in AWS Compute Optimizer that enables you to optimize Amazon Elastic Block Store (EBS) volumes at scale. Wit...

#AWS #CloudFinancialManagement #AmazonElasticBlockStore #AwsComputeOptimizer

Announcing AWS Compute Optimizer automation rules Today, we are introducing automation rules, a new feature in AWS Compute Optimizer that enables you to optimize Amazon Elastic Block Store (EBS) volumes at scale. With automation rules, you can streamline the process of cleaning up unattached EBS volumes and upgrading volumes to the latest-generation volume types, saving cost and improving performance across your cloud infrastructure. Automation rules let you automatically apply optimization recommendations on a recurring schedule when they match your criteria. You can set criteria like AWS Region to target specific geographies and Resource Tags to distinguish between production and development workloads. Configure rules to run daily, weekly, or monthly, and AWS Compute Optimizer will continuously evaluate new recommendations against your criteria. A new dashboard allows you to summarize automation events over time, examine detailed step history, and estimate savings achieved. If you need to reverse an action, you can do so directly from the same dashboard. AWS Compute Optimizer automation rules are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), and South America (São Paulo). To get started, navigate to the new Automation section in the AWS Compute Optimizer console, visit the AWS Compute Optimizer user guide documentation, or read the announcement blog to learn more.

🆕 AWS Compute Optimizer adds automation rules for EBS volume optimization, saving costs and boosting performance. Automate cleanup and upgrades with criteria-based scheduling. Available in multiple regions; manage via a …

#AWS #CloudFinancialManagement #AmazonElasticBlockStore #AwsComputeOptimizer

AWS Compute Optimizer now supports 99 new Amazon EC2 instance types

AWS Compute Optimizer now supports 99 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. These enhancements help you identify additional savings opportunities across your EC2 instan...

#AWS #AwsComputeOptimizer

AWS Compute Optimizer now supports 99 new Amazon EC2 instance types AWS Compute Optimizer now supports 99 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. These enhancements help you identify additional savings opportunities across your EC2 instances without specialized knowledge or manual analysis. Compute Optimizer has expanded support to include the latest generation Compute Optimized (C8gn, C8gd), General Purpose (M8i, M8i-flex, M8gd), Memory Optimized (R8i, R8i-flex, R8gd), and Storage Optimized (I8ge) instance types. This expansion enables Compute Optimizer to help you take advantage of the price-to-performance improvements offered by the newest instance types. This new feature is available in all AWS Regions where Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. For more information about Compute Optimizer, visit our product page and documentation. You can start using Compute Optimizer through the AWS Management Console, AWS CLI, or AWS SDK.

🆕 AWS Compute Optimizer now supports 99 new EC2 instance types, including C8gn, M8i, R8i, and I8ge, to help identify savings opportunities across instances. Available in all regions except AWS GovCloud (US) and China Regions.

#AWS #AwsComputeOptimizer

Announcing the AWS Billing and Cost Management MCP server

Today, AWS announced the release of a model context protocol (MCP) server for Billing and Cost Management, now available in the github.com/awslabs/mcp/tree/main/sr...

#AWS #AwsCostExplorer #AwsComputeOptimizer

Announcing the AWS Billing and Cost Management MCP server Today, AWS announced the release of a model context protocol (MCP) server for Billing and Cost Management, now available in the AWS Labs GitHub repository. The Billing and Cost Management MCP server allows customers to analyze their historical spending, find cost optimization opportunities, and estimate the costs of new workloads using the AI agent or assistant of their choice. Artificial intelligence is transforming the way that customers manage FinOps practices. While customers can access AI-powered cost analysis and optimization capabilities in Amazon Q Developer in the console, the Billing and Cost Management MCP server brings these capabilities to any MCP-compatible AI assistant or agent that customers may be using, such as Q Developer CLI tool, the Kiro IDE, Visual Studio Code, or Claude Desktop. This MCP server gives these clients rich capabilities to analyze historical and forecasted cost and usage data, identify cost optimization opportunities, understand AWS service pricing, find cost anomalies, and more. The MCP server not only provides access to AWS service APIs; it also provides a dedicated SQL-based calculation engine allowing AI assistants to perform reliable, reproducible calculations — ranging from period-over-period changes to unit cost metrics — and easily handle large volumes of cost and usage data. You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Billing and Cost Management services using standard AWS credentials with minimal configuration required. To get started, visit the AWS Labs GitHub repository.

🆕 AWS released a GitHub Billing and Cost Management MCP server for analyzing spending, finding optimizations, and estimating costs with any MCP-compatible AI. It securely connects to AWS services and uses a SQL-based engine for reliable cost analysis.

#AWS #AwsCostExplorer #AwsComputeOptimizer

AWS Compute Optimizer now identifies idle EC2 Auto Scaling groups with GPU instances

AWS Compute Optimizer now detects idle EC2 Auto Scaling groups using G and P instance types, enabling you to identify additional savings opportunities in your A...

#AWS #AwsComputeOptimizer #AmazonEc2AutoScaling

AWS Compute Optimizer now identifies idle EC2 Auto Scaling groups with GPU instances AWS Compute Optimizer now detects idle EC2 Auto Scaling groups using G and P instance types, enabling you to identify additional savings opportunities in your AWS spend. As AI development accelerates, organizations are creating more Auto Scaling groups with G and P instance types for training and inference workloads. Once you enable the NVIDIA CloudWatch agent, Compute Optimizer analyzes utilization data and identifies groups that have completed jobs and remained idle during your specified lookback period, making it easier to identify and prevent waste on these high-cost instance types. This new feature is available in all AWS Regions where AWS Compute Optimizer is available except for the AWS GovCloud (US) and the China Regions. The new recommendations will also be available in Cost Optimization Hub. For more information about Compute Optimizer, visit our product page and documentation. You can start using AWS Compute Optimizer through the AWS Management Console, AWS Services CLI, or AWS SDK.

🆕 AWS Compute Optimizer now identifies idle EC2 Auto Scaling groups with GPU instances, helping you save on high-cost G and P instances by detecting unused groups. Available in most regions except AWS GovCloud (US) and China.

#AWS #AwsComputeOptimizer #AmazonEc2AutoScaling

AWS Compute Optimizer now supports 57 new Amazon EC2 instance types

AWS Compute Optimizer now supports 57 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. The newly supported instance types include the latest g...

#AWS #AwsComputeOptimizer #AmazonEc2 #CloudFinancialManagement

AWS Compute Optimizer now supports 57 new Amazon EC2 instance types AWS Compute Optimizer now supports 57 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. The newly supported instance types include the latest generation accelerated computing instances (P5e, P5en, G6e), storage optimized instances (I7ie, I8g), and compute optimized instances (M8g), as well as high memory instances (U7i) and new instance sizes for C7i-flex and M7i-flex. With these newly supported instance types, AWS Compute Optimizer delivers recommendations to help you identify cost and performance optimization opportunities across a wider range of EC2 instance types, helping you improve performance and cost savings for your workloads. This new feature is available in all AWS Regions where AWS Compute Optimizer is available, except the AWS GovCloud (US) and the China Regions. For more information about Compute Optimizer, visit our product page and documentation. You can start using AWS Compute Optimizer through the AWS Management Console, AWS Services CLI, or AWS SDK.

🆕 AWS Compute Optimizer now supports 57 new EC2 instance types, including P5e, G6e, I7ie, and M8g, to help optimize cost and performance across a wider range of instances in all regions except AWS GovCloud (US) and China.

#AWS #AwsComputeOptimizer #AmazonEc2 #CloudFinancialManagement

AWS Compute Optimizer now expands idle and rightsizing recommendations for Amazon EC2 Auto Scaling groups

AWS Compute Optimizer now expands idle and rightsizing recommendations to Amazon EC2 Auto Scaling groups with scaling policies and mult...

#AWS #AwsComputeOptimizer #CloudFinancialManagement

AWS Compute Optimizer now expands idle and rightsizing recommendations for Amazon EC2 Auto Scaling groups AWS Compute Optimizer now expands idle and rightsizing recommendations to Amazon EC2 Auto Scaling groups with scaling policies and multiple instance types. With the new recommendations, you can take actions to optimize cost and performance of these groups without requiring specialized knowledge or engineering resources to analyze them. Compute Optimizer analyzes EC2 Auto Scaling groups' scaling policies, instance configurations, and utilization metrics to understand their usage patterns and identify opportunities for cost and performance optimization. For EC2 Auto Scaling groups using multiple instance types, Compute Optimizer helps identify the most cost-efficient instance types, enabling you to prioritize them in your groups. When EC2 Auto Scaling groups use scaling policies to scale based on CPU utilization, Compute Optimizer recommends optimizing the CPU-to-memory ratio by considering only instance types with identical vCPU counts. Compute Optimizer also identifies and flags EC2 Auto Scaling groups that demonstrate consistently low CPU and network usage throughout the lookback period as idle, recommending that you scale them down to save costs. This new feature is available in all AWS Regions where AWS Compute Optimizer is available, except the AWS GovCloud (US) and AWS China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.

🆕 AWS Compute Optimizer now expands idle and rightsizing recommendations for Amazon EC2 Auto Scaling groups

#AWS #AwsComputeOptimizer #CloudFinancialManagement

AWS Compute Optimizer now supports idle resource recommendation

Today, AWS announces that AWS Compute Optimizer now supports recommendations to help you identify idle AWS resources. With this new recommendation type, you will be able to iden...

#AWS #CloudFinancialManagement #AwsComputeOptimizer

AWS Compute Optimizer now supports rightsizing recommendations for Amazon Aurora

AWS Compute Optimizer now provides recommendations for Amazon Aurora DB instances. These recommendations help you identify idle database instances...

#AWS #AwsComputeOptimizer #CloudFinancialManagement #AmazonAurora

AWS Compute Optimizer now supports idle resource recommendation Today, AWS announces that AWS Compute Optimizer now supports recommendations to help you identify idle AWS resources. With this new recommendation type, you will be able to identify resources that are un-used and may be candidates for turning off or deleting, resulting in cost savings. With the new idle resource recommendation, you will be able to identify idle EC2 instances, EC2 Auto Scaling groups, EBS volumes, ECS services running on Fargate, and RDS instances. You can view the total savings potential of stopping or deleting these idle resources. Compute Optimizer analyzes 14 consecutive days of utilization history to validate if resources are idle to provide trustworthy savings opportunities. You can also view idle resource recommendation across all AWS accounts in your organization through the Cost Optimization Hub, with de-duplicated estimated savings with other recommendations on the same resources. For more information about the AWS Regions where Compute Optimizer is available, see AWS Region table. For more information about Compute Optimizer, visit our product page and documentation. You can start using AWS Compute Optimizer through the AWS Management Console, AWS CLI, and AWS SDK.

🆕 AWS Compute Optimizer now supports idle resource recommendation

#AWS #CloudFinancialManagement #AwsComputeOptimizer

AWS Compute Optimizer now supports rightsizing recommendations for Amazon Aurora AWS Compute Optimizer now provides recommendations for Amazon Aurora DB instances. These recommendations help you identify idle database instances and choose the optimal DB instance class, so you can reduce costs for unused resources and increase the performance of under-provisioned workloads. AWS Compute Optimizer automatically analyzes Amazon CloudWatch metrics such as CPU utilization, network throughput, and database connections to generate recommendations for your DB instances running Amazon Aurora MySQL-Compatible Edition and Aurora PostgreSQL-Compatible Edition engines. If you enable Amazon RDS Performance Insights on your DB instances, Compute Optimizer will analyze additional metrics such as DBLoad and out-of-memory counters to give you more insights to choose the optimal DB instance configuration. With this launch, AWS Compute Optimizer now supports recommendations for Amazon RDS for MySQL, Amazon RDS for PostgreSQL, and Amazon Aurora database engines. This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.

🆕 AWS Compute Optimizer now supports rightsizing recommendations for Amazon Aurora

#AWS #AwsComputeOptimizer #CloudFinancialManagement #AmazonAurora