All news with #aws tag

🔐 AWS Lake Formation now allows reading and writing the underlying Amazon S3 data files for tables registered in the AWS Glue Data Catalog, unifying permissions for SQL and direct file access. It issues temporary, scoped credentials tied to Lake Formation table grants—SELECT for read and SUPER for read/write—and is supported in Amazon EMR 7.13+. You can use Spark or Trino with provided APIs or an open source plugin, and all activity is logged in AWS CloudTrail. This capability is available at no extra charge in supported Regions.

🔧 Amazon Managed Service for Prometheus now supports out-of-order sample ingestion and a workspace-level rule query offset. By default, workspaces accept late-arriving samples within a 1-minute window, adjustable or disableable. A global rule query offset delays rule evaluations so late samples can be included, improving alerting accuracy. Two new CloudWatch vended metrics provide visibility to tune these settings.

🔍 Amazon Managed Service for Prometheus now supports ingestion, storage, and querying of Prometheus native histograms, enabling higher-resolution metric distributions with lower cardinality compared to classic histograms. DevOps and SRE teams can obtain more accurate percentile calculations without predefining bucket boundaries. Native histograms use exponential bucketing and store full distributions in a single time series, reducing series count and lowering costs by metering only populated buckets.

🔒 AWS announced the AWS Workload Credentials Provider, a lightweight client-side tool that automates export and deployment of certificates from AWS Certificate Manager and local caching of secrets from AWS Secrets Manager. It removes the need for custom EventBridge-based automation for certificate renewals, supports Windows and Linux, and works with Apache and NGINX. The provider is open source and compatible with Secrets Manager Agent functionality.

🚀 AWS has expanded availability of OpenAI's GPT-5.4 and GPT-5.5 models to the US East (N. Virginia) Region on Amazon Bedrock. These models support a 272K-token context window, accept text and image input, and are accessible via the Responses API with server- and client-side tool calling, projects, and response streaming. GPT-5.5 targets advanced coding, research, analysis, and long-running agentic tasks, while GPT-5.4 focuses on frontier reasoning, coding, tool use, and long-context workflows.

🔔 Amazon EC2 Future-dated Capacity Reservations now support cancellation, allowing customers to secure capacity up to 120 days in advance and cancel if plans change. Depending on timing, a cancellation charge may apply; when it does, EC2 provides a quoted charge for review and acceptance before cancellation completes. Cancellation charges are reportable in the AWS Cost and Usage Report (CUR) 2.0 under a new Capacity Reservation Status value. The feature is available to all Future-dated Capacity Reservation customers, with regional availability listed on the AWS Capabilities by Region site and further details in the Capacity Reservation user guide.

🚀 AWS announces availability of the Gemma 4 family from Google DeepMind on Amazon Bedrock. The offering includes three variants—Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B—covering dense and MoE architectures with multimodal and multilingual support. Models run on new Bedrock optimizations for tool calling, structured output, reasoning, and streaming, and are initially available in several AWS Regions.

🔍 Amazon VPC Flow Logs now supports EC2 resource tag embedding and next-hop interface metadata to simplify network monitoring and troubleshooting. With tag support you can include values from network interfaces, EC2 instances, and Auto Scaling groups, removing the need to join log data with external tag metadata. Next-hop metadata captures interface ID, subnet, AZ, VPC, and interface type to clarify traffic paths through NAT Gateways, NLBs, and Transit Gateways.

📣 AWS now allows customers to update AWS Cost and Usage Report 2.0 table configurations through the AWS Management Console and SDK/CLI. This change lets users modify export content, time granularity, column selection, export format, and destination settings without deleting and recreating exports. Updated preferences take effect starting with the next scheduled export delivery. The feature removes the previous requirement to recreate exports to adopt new CUR 2.0 schema enhancements.

🚀 Amazon FSx for OpenZFS now supports the Intelligent‑Tiering storage class in eight additional AWS Regions across the US, Europe, Asia Pacific, and South America. The Intelligent‑Tiering class automatically moves data among Frequent Access, Infrequent Access, and Archive tiers based on usage patterns and can include an optional SSD read cache for active data. This provides high performance for active workloads and lower-cost storage for less-active data, with up to 85% savings versus FSx SSD and up to 20% versus on‑premises HDD NAS.

🚀 Amazon SageMaker Unified Studio Notebooks now support Amazon EMR Serverless with Apache Spark Connect, enabling PySpark and Spark SQL execution on EMR Serverless Spark Applications directly from notebook cells. Users can choose their Spark runtime from the Notebook side panel, with the selection applying to both Python and SQL cells. The feature integrates with SageMaker Data Agent to generate code and execution plans from natural language prompts and offers pre-initialized capacity, unified Spark UI monitoring, and VPC connectivity for isolated workloads. It is available in all regions where SageMaker Unified Studio is offered and supports both Unified Studio notebooks and JupyterLab IDEs.

🛈 Amazon S3 Access Grants are now available in the AWS European Sovereign Cloud (Germany) Region. The feature maps identities from directories like Microsoft Entra ID and AWS IAM principals to S3 datasets, enabling automated, scalable data permission management. This simplifies granting S3 access to end users based on corporate identities. Check the AWS Region Table for full regional availability and refer to the product page for details.

🔍 Today AWS announced the preview of AWS FinOps Agent, a frontier agent designed for FinOps practitioners and engineering teams to answer cost questions, surface optimization opportunities, and automate investigations of cost anomalies. The agent can generate cloud cost reports, surface rightsizing and Savings Plans recommendations from AWS Cost Optimization Hub and AWS Compute Optimizer, and create Jira tickets. It can post anomaly findings to Slack and run recurring FinOps workflows on a defined schedule. The preview is available in US East (N. Virginia) and covers cost and usage data from most Regions; it is offered at no additional charge during the preview.

🤖 Claude Fable 5 is now generally available on AWS, offering Mythos-level capabilities with built-in safety classifiers for broader use. The model advances autonomous knowledge work and coding for professional tasks across finance, legal, marketing, sales, data, and engineering. Customers can access it via Amazon Bedrock or the Claude Platform on AWS, with options for AWS-managed guardrails and regional data residency.

🚀 Amazon CloudWatch now accepts metrics via the OpenTelemetry Protocol (OTLP) and supports Prometheus Query Language (PromQL) for querying. You are billed per GB ingested, with 15 months of storage included. Custom OTel metrics and AWS-vended metrics across 70+ services are queryable together, and a Prometheus-compatible API enables integration with Grafana and other tools. EKS customers can enable Container Insights with OpenTelemetry from the console or via CloudFormation, CDK, or Helm.

🔒 AWS Backup now supports Amazon EKS in the AWS European Sovereign Cloud (Germany) Region, providing fully managed, policy-driven data protection and recovery for EKS clusters. The service includes automated scheduling, retention management, immutable vaults, and cross-Region and cross-account copies. Customers can protect entire clusters, namespaces, or individual persistent volumes without agents, replacing custom scripts or third-party tools.

🚀 Amazon EMR Serverless now supports interactive sessions with Spark Connect, enabling development and execution of Apache Spark applications from managed notebooks like SageMaker Unified Studio and common IDEs such as Jupyter and Visual Studio Code. You can monitor and debug active and completed sessions in the EMR console and obtain granular cost and usage visibility for individual sessions. The Spark Connect client-server model keeps your development environment decoupled from the Spark driver, enabling ad hoc exploration, iterative debugging, and incremental PySpark development. Spark Connect support is available in EMR release 7.13 in all regions where EMR Serverless is offered, with the SageMaker experience in supported regions.

🔍 AWS Cost Explorer introduces Analyze with Amazon Q, enabling one-click, contextual cost explanations for any configured report. Amazon Q Developer provides analysis of cost trends, top drivers, anomalies, and optimization suggestions using your exact filters and time period. The feature adapts explanations to historical, forecast, or mixed-date views and supports follow-up questions while preserving conversation context. It is available in all commercial AWS Regions at no additional charge.

🛡️ This monthly AWS Security Blog digest highlights May 2026 posts on AI security, network protection, identity management, compliance guides, and supply chain defense. It summarizes new capabilities, hands-on samples, and workshops that demonstrate practical controls — from Cedar-based policy for agentic AI to URL category filtering in Network Firewall and post-quantum readiness checks.

🔍 AWS Compute Optimizer now detects idle resources for Amazon DynamoDB provisioned tables, Amazon ElastiCache (Redis and Valkey), Amazon MemoryDB, Amazon DocumentDB (provisioned and serverless), Amazon WorkSpaces, and Amazon SageMaker endpoints. It analyzes utilization metrics over a configurable lookback period and evaluates service-specific signals like consumed capacity, cache hits, active connections, and CPU utilization. Recommendations include detailed utilization metrics and estimated savings, viewable in the console and in the Cost Optimization Hub across AWS Organizations.