All news with #aws tag

🔥 Amazon EC2 High Memory U7i-8TB instances (u7i-8tb.112xlarge) are now available in the AWS Europe (Paris) region. These 7th-generation U7i instances are powered by custom 4th-generation Intel Xeon Scalable (Sapphire Rapids) processors and provide 8 TiB of DDR5 memory for scaling transaction processing throughput. They deliver 448 vCPUs, up to 100 Gbps EBS and network bandwidth, ENA Express, and up to 45% better price performance versus U-1 instances. U7i instances are targeted at mission-critical in-memory databases such as SAP HANA, Oracle, and SQL Server.

🤝 Amazon Quick now integrates with Snowflake Cortex AI via the Model Context Protocol (MCP), allowing teams to query Snowflake data and documents in natural language and automate multi-step workflows within Quick. After configuring Snowflake's managed MCP server with OAuth, users can query structured data with Cortex Analyst and unstructured documents with Cortex Search. The MCP connection is available across Quick features, including Quick Chat and Flows, and the integration is live in all AWS Regions where Amazon Quick is offered.

🆕 AWS now supports Amazon EKS local clusters on first- and second-generation AWS Outposts racks that boot Amazon EC2 instances from EC2 instance store. This extends Outposts’ static stability benefits to EKS local clusters, keeping the entire Kubernetes control plane on the Outpost to meet data residency needs and reduce impact from temporary network disconnects. The updated architecture brings greater operational parity with cloud EKS, includes managed control plane responsibilities, and adds support for EKS add-ons and modern auth mechanisms.

🛠️ Amazon CloudWatch Application Signals now ranks service health on the application map and adds new infrastructure, logs, and traces tabs on the service overview page, enabling operators to triage unhealthy services and inspect compute, log snippets, and trace details in one place. These features surface runtime indicators for Amazon EKS, Amazon ECS, AWS Lambda, and Amazon EC2, and provide curated metrics with deep links to relevant monitoring tools to speed root-cause analysis. The capabilities are available in all Regions that support Application Signals.

🎯 Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 18, starting with 18.3. This release brings community improvements to query performance and database management and adds the pg_roaringbitmap extension for fast, memory-efficient set operations on large integer collections. PostgreSQL 18 also introduces B-tree skip scans, retained optimizer statistics during major upgrades, and parallel streaming of large transactions for logical replication. Aurora 18.3 is available in all commercial AWS Regions and AWS GovCloud (US); upgrade options include RDS Blue/Green, in-place upgrades, or snapshot restores.

📣 Amazon Managed Workflows for Apache Airflow (MWAA) Serverless now publishes workflow and task state change events to Amazon EventBridge, enabling event-driven automation for Airflow pipelines. Previously, teams relied on custom polling or manual monitoring; this capability lets MWAA Serverless emit events for workflow states (started, running, succeeded, failed) and task states (scheduled, succeeded, failed, up for retry). Use cases include alerting on failures, triggering downstream pipelines when upstream workflows succeed, and logging state transitions for compliance.

🗂️ Elastic Beanstalk now surfaces Amazon CloudWatch Logs directly within the environment Logs tab, letting users view and filter log groups and streams without leaving the Elastic Beanstalk console. The Logs tab lists environment-associated log groups (including those matching the aws/elasticbeanstalk//* prefix), auto-selects the most recently active stream, and offers a stream dropdown and filtering options. A "View in CloudWatch" dropdown provides direct links to the log group, log stream, or CloudWatch Logs Insights for deeper analysis. This capability is available across all Elastic Beanstalk platform branches in AWS Commercial and AWS GovCloud (US) Regions where the service is offered.

🔐 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.