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Amazon SageMaker HyperPod now supports AMI-based node lifecycle configuration for Slurm clusters using continuous provisioning - devamazonaws.blogspot.com

Amazon SageMaker HyperPod now supports AMI-based configuration for Slurm clusters that use continuous provisioning. Continuous provisioning adds nodes to the cluster as capacity becomes available, and this launch extends AMI-based configuration to clusters using this mode. With this support, clusters using continuous provisioning can be created without downloading, configuring, or uploading lifecycle configuration scripts to Amazon S3. AMI-based configuration provisions nodes with the software and configurations needed for a production-ready environment to run AI/ML training workloads, including required software such as Docker, Enroot, and Pyxis, and configurations such as Slurm accounting, SSH key generation, and log rotation. When using continuous provisioning, each node is configured from the AMI as it is added to the cluster, without the need to manage lifecycle configuration scripts, so nodes become available to schedule jobs sooner. To enable AMI-based configuration, omit the ...
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AWS Config now supports 191 additional managed rules - devamazonaws.blogspot.com

AWS Config now supports 191 additional managed rules across key services including Amazon Bedrock, Amazon SageMaker, Amazon ECS, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, and Amazon CloudTrail. This expansion increases built-in governance coverage across AI workloads and core cloud infrastructure. Examples of the new managed rules include evaluating resource configurations for encryption, logging, public access, network security, data protection, and other operational best practices across AWS services.  With this launch, you can deploy these new managed rules individually or as part of a conformance pack in the AWS Regions where the corresponding AWS services are available.    AWS Certificate Manager  ACM_CERTIFICATE_RSA_CHECK   Amazon API Gateway  API_GWV2_ACCESS_LOGS_ENABLED   AWS AppSync  APPSYNC_AUTHORIZATION_CHECK   APPSYNC_LOGGING_ENABLED   Amazon Athena...
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Amazon MSK Replicator now supports replication from external Apache Kafka clusters to MSK Standard brokers - devamazonaws.blogspot.com

Amazon MSK Replicator now supports data replication from external Apache Kafka clusters - including on-premises, self-managed on AWS, or other cloud providers to Amazon MSK Standard brokers. This capability extends replication support to MSK Standard brokers, in addition to the existing support for MSK Express brokers. With this launch, you can migrate workloads to MSK Standard brokers, support disaster recovery by using MSK clusters as a failover or backup target, and enable data distribution across hybrid and multi-cloud environments. MSK Replicator is a feature of Amazon MSK that automates data replication between Kafka clusters, eliminating the need to manage custom replication infrastructure or configure open-source tools. Previously, MSK Replicator supported replication from external Apache Kafka clusters to MSK Express brokers only. With this launch, you can now also replicate data from external Kafka clusters to MSK Standard brokers, using either SASL/SCRAM or mutual TLS (mTL...
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[MS] From Noisy Queries to Precise Frames: Query Decomposition for Media Asset Search - devamazonaws.blogspot.com

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Introduction: The Problem Media and entertainment teams work with massive asset catalogs for films and TV series. Each asset often includes structured metadata such as episode ID, scene ID, and shot ID, along with the visual content itself. Teams want a unified search experience that understands both metadata constraints and natural language intent. The problem appears when users provide both types of information in one query, for example: Two soldiers facing off across a battlefield in episode 20, scene 5, shot 2 If we embed this raw query directly for semantic retrieval, two issues appear: Metadata tokens dilute visual intent in the embedding representation. Retrieval can return visually similar assets from the wrong episode, scene, or shot. This gap is common in real workflows. Editors, archivists, and production teams often know part of the context, but they still describe the visual moment in natural language. Query decomposition solves this by splitting one noisy que...
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[MS] What's New in vcpkg (June 2026) - devamazonaws.blogspot.com

This blog post summarizes changes to the vcpkg package manager as part of the 2026.06.01 and 2026.06.24 registry releases and the 2026-05-27 tool release. These updates add a vcpkg-tool switch to skip installation when packages are already cached, OpenHarmony (OHOS) platform support, and major library updates including curl 8.21, CGAL 6.2, and Graphviz 15, along with other minor improvements and bug fixes. There are now 2,849 total ports available in the vcpkg curated registry. A port is a versioned recipe for building a package from source, such as a C or C++ library. 28 new ports were added to the curated registry. 142 ports were updated in the 2026.06.01 release and 283 ports were updated in the 2026.06.24 release . As always, we validate each change to a port by building all other ports that depend on or are depended by the library that is being updated for our main triplets . 82 community contributors made commits. The main vcpkg repo has over 7,600 for...
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Amazon Aurora DSQL change data capture (CDC) Is now generally available - devamazonaws.blogspot.com

Amazon Aurora DSQL change data capture (CDC) is now generally available, enabling you to stream real-time database changes to Amazon Kinesis Data Streams for event-driven architectures and data integration workflows. Aurora DSQL CDC automatically captures the results of insert, update, and delete operations as change events and delivers them to Kinesis Data Streams with no infrastructure to manage. You can use CDC to synchronize data across microservices, trigger AWS Lambda functions, or deliver changes to Amazon S3, Amazon Redshift, and Amazon OpenSearch Service via Amazon Data Firehose. CDC streaming is designed to have zero impact on your database workload performance. CDC streaming is available in all AWS Regions where Aurora DSQL is available. Get started with Aurora DSQL for free with the AWS Free Tier . To learn more about CDC in Aurora DSQL, visit the documentation page . Post Updated on July 8, 2026 at 07:00PM
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Amazon RDS for Oracle now supports Oracle Database 26ai - devamazonaws.blogspot.com

Amazon RDS for Oracle now supports Oracle Database 26ai, Oracle's latest Long Term Support Release, with Amazon Bedrock integration which provides access to foundation models such as Anthropic Claude, Amazon Nova, and Meta Llama. With Oracle Database 26ai, you can leverage Oracle's Select AI feature to generate and run SQL queries from natural language prompts, increasing productivity for both developers and business users. You can also implement retrieval augmented generation (RAG) directly from SQL using Oracle AI Vector Search without moving data out of their database. Oracle Database 26ai also includes AI Vector Search for storing vector embeddings alongside relational data and performing semantic similarity and hybrid searches without a separate vector database, JSON Relational Duality Views for accessing the same underlying data as either JSON documents or relational tables, and SQL Property Graphs for in-database graph analytics. You can create new DB instances runnin...
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