Tag: Internet

Amazon Athena now offers managed connectors for 12 data sources, including Amazon DynamoDB, PostgreSQL, MySQL, and Snowflake. Managed connectors are AWS Glue Data Catalog federated connectors that Athena creates and manages on your behalf, so you can query data outside Amazon S3 without deploying or maintaining connector resources in your AWS account. With Athena, you can interactively query relational, non-relational, object, and custom data sources without moving or duplicating data. To get started with managed connectors, you create a connection for your data source in Athena. Athena automatically sets up and manages connector resources on your behalf, registering the data source as a federated catalog in AWS Glue Data Catalog. You can then query the data source alongside your Amazon S3 data and optionally set up fine-grained access controls through AWS Lake Formation. Federated queries with managed connectors are avai

AWS Parallel Computing Service (AWS PCS) now supports Slurm version 25.11, with support for a Prometheus-compatible OpenMetrics endpoint, and introduces new log types including scheduler audit logs. This release of Slurm 25.11 introduces expedited re-queue, which can automatically reschedule jobs affected by node issues at the highest priority to help your workloads recover faster. You can enable a new OpenMetrics endpoint for real-time visibility into jobs, nodes, and scheduling using your existing monitoring tools. AWS PCS can now also send Slurm database daemon (slurmdbd) and REST API daemon (slurmrestd) logs to Amazon CloudWatch Logs, Amazon S3, or Amazon Data Firehose, helping diagnose accounting issues and debug API integrations. Scheduler audit logs, previously included in operational logs, are now delivered as a dedicated log type, providing independent control over ingestion and storage costs. AWS PCS is a managed service that makes it easier for you to ru

Amazon SageMaker HyperPod now automatically selects and continuously maintains the optimal network topology configuration for Slurm clusters based on the GPU instance types in the cluster. Network topology directly impacts distributed training performance — when jobs are placed on nodes that are topologically close, GPU-to-GPU communication is faster, NCCL collective operations are more efficient, and training throughput improves. HyperPod dynamically adapts the topology as the cluster evolves through scaling operations and node replacements, so job placement remains optimized throughout the cluster lifecycle without requiring manual updates to topology files or Slurm reconfiguration. HyperPod inspects the instance types across all instance groups at cluster creation, identifies the networking and interconnect characteristics of each instance type, and automatically selects the best-fit topology model. HyperPod supports tree topology for instance types with hierarchical i

Amazon SageMaker Unified Studio now supports serverless notebooks with a built-in data agent for AWS IAM Identity Center (IdC) domains. Previously, the notebook experience and data agent were available only in IAM domains. With this launch, customers who use IdC for authentication and access management can access the high-performance, serverless notebook environment for analytics and machine learning (ML) workloads. The serverless notebook gives data engineers, analysts, and data scientists one place to perform SQL queries, execute Python code, process large-scale data jobs, run ML workloads, and create visualizations. A built-in AI data agent accelerates development by generating code and SQL statements from natural language prompts and guides users through their tasks. Customers can flexibly combine SQL, Python, and natural language within a single interactive workspace, removing the need to switch between different tools based on the workload. For example, you can start w

Today, AWS announces the launch of the Attributed Revenue dashboard in AWS Partner Central in the AWS Console, giving Partners self-service visibility into the revenue impact of their solutions as measured by Partner Revenue Measurement. The dashboard displays aggregated monthly attributed revenue by Partner product, AWS service, and billing period. It provides consolidated insights from all three Partner Revenue Measurement capabilities—Resource Tagging, User Agent string, and AWS Marketplace Metering—in a single view. Partners who implement Partn

Second-generation AWS Outposts racks are now supported in the AWS Asia Pacific (Seoul, Sydney) and Europe (Paris) Regions. Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Organizations from startups to enterprises and the public sector in and outside of South Korea, Australia, and France can now order their Outposts racks connected to this new supported region, optimizing for their latency and data residency needs. Outposts allows customers to run workloads that need low latency access to on-premises systems locally while connecting back to their home Region for application management. Customers can also use Outposts and AWS services to manage and process data that needs to remain on-premises to meet data residency requirements. This regional expansion provides additional flexibility in the AWS Regions that customers’ Outposts can connect to.

AWS Elastic Beanstalk AI-powered environment analysis is now available on Windows Server platforms. Previously available on Amazon Linux 2 and AL2023, this feature now extends to Windows-based environments, enabling you to quickly identify root causes and get recommended solutions for environment health issues. Elastic Beanstalk collects recent events, instance health, and logs from your Windows environment and sends them to Amazon Bedrock for analysis. With this expansion, developers and operations teams running .NET applications and other Windows workloads on Elastic Beanstalk can now diagnose and resolve environment issues faster without manually reviewing logs and events. You can request an AI analysis from the Elastic Beanstalk console using the AI Analysis button or using the AWS CLI with the RequestEnvironmentInfo and RetrieveEnvironmentInfo API operations. The analysis provides step-by-step troubleshooting recommendations tailored to your Windows environment's curre

Amazon Quick now enables you to add co-owners to knowledge bases and data source connections for admin-managed Microsoft SharePoint Online and Google Drive integrations. This makes it easier to collaborate across teams and reuse existing connections without re-entering credentials. Knowledge base owners can share their knowledge bases with two roles: Owner (full management access including editing, syncing, sharing, and deleting) and Viewer (query-only access). Co-owner sharing with the Owner role is available exclusively for admin-managed SharePoint and Google Drive knowledge bases. All other knowledge base types support Viewer sharing only. To share, navigate to the actions menu next to any knowledge base or use the Permissions tab. Administrators can also share data source connections, allowing other users to create knowledge bases from the same connection. Data source sharing supports Owner (create knowledge bases and edit connection details) and Viewer (create

Amazon Redshift now supports row-level UPDATE, DELETE, and MERGE operations on Apache Iceberg tables. Customers who use Iceberg to build interoperable data lakes can now perform data manipulation language (DML) operations directly from Amazon Redshift, without moving data to external processing engines. Previously, modifying individual rows in Iceberg tables required using separate engines, adding complexity and latency to data pipelines. With this launch, you can run UPDATE, DELETE, and MERGE (UPSERT) statements on both partitioned and unpartitioned Iceberg tables, including S3 Tables. Supported Iceberg partition transforms include identity, bucket, truncate, year, month, day, and hour. MERGE enables you to combine insert and update logic in a single statement for common data integration patterns such as change data capture and slowly changing dimensions. Tables modified by Redshift are compatible with other Iceberg-compatible

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Ireland) region. These instances are powered by AWS Graviton4 processors and deliver up to 60% better performance than AWS Graviton2-based Amazon EC2 X2gd instances. X8g instances offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instance. They have the best price performance among EC2 X-series instances, and are ideal for memory-intensive workloads such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications. X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elast