Tag: SysAdmin

AWS Outposts racks now support the LagStatus Amazon CloudWatch metric in all AWS commercial Regions and the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. This metric provides you with the ability to monitor Outposts LAG connectivity status directly within the CloudWatch console, without having to rely on external networking tools or coordination with other teams. You can use this metric to set alarms, troubleshoot connectivity issues, and ensure your Outposts racks are properly integrated with your on-premises infrastructure. The LagStatus metric indicates whether an Outposts LAG is operationally up and ready to forward traffic. A value of "1" means that the LAG is up, while "0" means that it is down. When combined with the existing VifConnectionStatus and VifBgpSessionState metrics, you can quickly identify whether issues stem from LAG configuration, BGP peering, or connection problems. The LagStatus metric is now available for all Outposts LAGs in all

Amazon Elastic Container Service (Amazon ECS) now offers NVIDIA GPU metrics for containerized workloads running on Amazon ECS Managed Instances. These metrics are available through Amazon CloudWatch Container Insights with enhanced observability, giving customers visibility into GPU health and performance to help troubleshoot and optimize GPU-accelerated workloads on Amazon ECS. With the new GPU metrics, Amazon ECS Managed Instances customers can now monitor GPU capacity, utilization, memory, hardware health, and thermal conditions directly in CloudWatch. Using Container Insights with enhanced observability, customers get granular visibility into these metrics, including at the GPU device level. These metrics give customers visibility into GPU operational and hardware health across their Amazon ECS Managed Instan

Amazon MQ for RabbitMQ now supports the Prometheus plugin on RabbitMQ 4.2 brokers, providing a native Prometheus-compatible metrics endpoint on your RabbitMQ brokers. You can scrape broker, queue, and connection metrics directly from your brokers using any Prometheus-compatible monitoring tool, giving you more flexibility in how you observe and alert on your messaging infrastructure. The plugin exposes metrics through the /metrics, /metrics/detailed, and /metrics/memory-breakdown endpoints in Prometheus text format. Amazon MQ also publishes a curated subset of these Prometheus metrics to CloudWatch. With the Prometheus plugin, you can now integrate your brokers into existing Prometheus-based monitoring stacks including Grafana dashboards, Amazon Managed Service for Prometheus, and self-hosted Prometheus servers. The Prometheus plugin is enabled by default on all Amazon MQ for

Amazon Bedrock AgentCore Identity now supports On-Behalf-Of (OBO) token exchange, enabling developers to build agents that securely access protected resources on behalf of authenticated users — without requiring users to complete multiple consent flows. Previously, developers building agents that needed to act on behalf of a user had to manage separate consent flows for each protected resource, adding friction for end users and complexity for builders. With OBO token exchange, developers can exchange an access token for a new scoped-down access token that carries both the original user identity and the agent identity. This token is targeted specifically to the outbound protected resource, granting just-in-time, least-privilege access without prompting the user for additional consent. Amazon Bedrock AgentCore Identity OBO token exchange is now generally available in 14 AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), Asia Pac

Amazon Bedrock AgentCore launches recommendations and two ways to validate performance (batch evaluations and A/B tests). This completes the observe, evaluate, improve loop for AI agents in production. Until now, translating evaluation findings into concrete, validated improvements required manual developer intervention and intuition rather than a systematic approach. With recommendations, batch evaluations and A/B tests, developers now have the tools to act on what evaluations surface. As models evolve and user behavior shifts, agent quality degrades quietly over time. The recommendations capability analyzes production traces and evaluation outputs generated by AgentCore to create optimized system prompts and tool descriptions tailored to your specific workload. Batch evaluations are then used for validating the recommendations against pre-defined test cases. A/B tests further validate those recommendations through controlled A/B testing against pre-defined test sets or li

AWS Neuron announces the Neuron Agentic Development capabilities, an open-source collection of agents and skills that equip AI coding assistants to accelerate development on AWS Trainium and AWS Inferentia. The initial release provides agentic coding capabilities for Neuron Kernel Interface (NKI) kernel development, covering the workflow from authoring to profiling and performance analysis. NKI gives developers direct, low-level programming access to Trainium for writing custom compute kernels that maximize hardware performance. Neuron Agentic Development brings NKI expertise directly into the developer's agentic IDE (such as Claude Code and Kiro) through natural language. For example, a developer can describe a PyTorch operation and receive a working NKI kernel, ask the agent to fix a compilation error and have it automatically identi

AWS Lambda now supports creating serverless applications using Ruby 4.0. Developers can use Ruby 4.0 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available. Ruby 4.0 is the latest long-term support (LTS) release of Ruby and is expected to be supported for security and bug fixes until March 2029. In addition to providing access to the latest Ruby language features, the Lambda Runtime for Ruby 4.0 also adds support for Lambda advanced logging controls, providing customers with JSON structured logs, configurable logging levels, and the ability to configure the target Amazon CloudWatch log group. The Ruby 4.0 runtime is available in all AWS Regions, including China Regions and the AWS GovCloud (US) Regions.

Today, Amazon Quick introduces new and upgraded Microsoft 365 extensions in preview for Excel, PowerPoint, and Word, enabling Quick to perform tasks directly within users’ Microsoft 365 environments. These extensions allow you to use AI to perform complex local tasks such as redlining documents, building financial models, and creating presentation-ready decks. The Microsoft Excel extension helps with complex spreadsheet analysis, creating pivot tables and charts, and importing and cleaning data. The Microsoft PowerPoint extension helps you create and refine presentations from Quick data using organization-defined templates. Updates to the Microsoft Word extension include the ability to generate formatted documents with Word primitives, make sweeping edits with track changes enabled, and participate as a reviewer in comments. These extensions transform daily work across teams. Finance teams can build complex models by describing what they need, and sales teams can draf

Amazon OpenSearch Service now supports index-level encryption, enabling you to encrypt data at rest on a per-index basis using AWS Key Management Service (KMS) customer managed keys. You can use different customer managed keys for different indexes on the same domain, enabling more granular, tenant-specific encryption policies. Index-level encryption builds on the existing encryption at rest capability in Amazon OpenSearch Service. While domain-level encryption uses a single AWS KMS key to encrypt all data on a domain, index-level encryption lets you specify a customer managed key for each index, isolating encrypted data across indexes. To get started, register your KMS key using the Amazon OpenSearch Service API, then specify the key ARN in the index settings when creating an encrypted index. Index-level encryption is available at no additional

Amazon RDS for MySQL now supports community MySQL Innovation Release 9.6 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.6 in the Amazon RDS Database Preview Environment which provides the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MySQL 9.6 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next innovation minor, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the MySQL 9.6 relea