Amazon SageMaker AI now supports optimized generative AI inference recommendations Today, Amazon SageMaker AI supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon SageMaker AI keeps your model developers focused on building accurate models, not managing infrastructure.

📰 New article by Mona Mona, Dmitry Soldatkin, Lokeshwaran Ravi, Kareem Syed-Mohammed, Vinay Arora

Amazon SageMaker AI now supports optimized generative AI inference recommendations

#AWS #AI #MachineLearning

Get to your first working agent in minutes: Announcing new features in Amazon Bedrock AgentCore Today, we’re introducing new capabilities that further streamline the agent building experience, removing the infrastructure barriers that slow teams down at every stage of agent development from the first prototype through production deployment.

📰 New article by Madhu Parthasarathy

Get to your first working agent in minutes: Announcing new features in Amazon Bedrock AgentCore

#AWS #AI #MachineLearning

Automating Incident Investigation with AWS DevOps Agent and Salesforce MCP Server This post was co-written with Ross Belmont, Senior Director, Rodrigo Duran, Strategist Director at Salesforce Every minute counts when managing a critical infrastructure incident. Organizations need to quickly identify issues, diagnose root causes, and implement solutions—all while keeping customers informed. AWS DevOps Agent changes this by automating investigation and response, reducing mean time to resolution [...]

📰 New article by Rohit Sharma, Conor Manton

Automating Incident Investigation with AWS DevOps Agent and Salesforce MCP Server

#AWS #DevOps #DeveloperProductivity

A technical walkthrough of multicloud full-stack security using AWS Security Hub Extended Building on our recent announcement of AWS Security Hub Extended —our full-stack enterprise security offering — we want to show you how we’re simplifying security procurement and operations for your multicloud environments. Whether you’re a security architect evaluating solutions or a CISO looking to streamline vendor management, this post walks through the streamlined experience that [...]

📰 New article by Matt Meck, Michael Fuller

A technical walkthrough of multicloud full-stack security using AWS Security Hub Extended

#AWS #Security #Identity #Compliance

Company-wise memory in Amazon Bedrock with Amazon Neptune and Mem0 Company-wise memory in Amazon Bedrock, powered by Amazon Neptune and Mem0, provides AI agents with persistent, company-specific context—enabling them to learn, adapt, and respond intelligently across multiple interactions. TrendMicro, one of the largest antivirus software companies in the world, developed the Trend’s Companion chatbot, so their customers can explore information through natural, conversational interactions

📰 New article by Shawn Tsai, Ray Wang, Zhihao Lin

Company-wise memory in Amazon Bedrock with Amazon Neptune and Mem0

#AWS #AI #MachineLearning

Using Apache Sedona with AWS Glue to process billions of daily points from a geospatial dataset In this post, we explore how to use Apache Sedona with AWS Glue to process and analyze massive geospatial datasets.

📰 New article by Ruan Roloff, Denys Gonzaga, Lucas Vitoreti

Using Apache Sedona with AWS Glue to process billions of daily points from a geospatial dataset

#AWS #BigData

AWS purpose-built database recovery: A guide to business continuity and disaster recovery strategies This post addresses recovery challenges in multi-database architectures, focusing on both low-consistency and mission-critical scenarios. We explore practical strategies for implementing resilient recovery mechanisms across Amazon DynamoDB, Amazon Aurora, Amazon Neptune, Amazon OpenSearch Service, and other AWS database services.

📰 New article by Marco Tamassia, Domenico di Salvia

AWS purpose-built database recovery: A guide to business continuity and disaster recovery strategies

#AWS #Databases

Analyzing your data catalog: Query SageMaker Catalog metadata with SQL In this post, we demonstrate how to use the metadata export capability in Amazon SageMaker Catalog and perform analytics such as historical changes, monitor asset growth and track metadata improvements.

📰 New article by Ramesh H Singh, Rohith Kayathi, Pradeep Misra, Steve Phillips

Analyzing your data catalog: Query SageMaker Catalog metadata with SQL

#AWS #BigData

PACIFIC enables multi-tenant, sovereign product carbon footprint exchange on the Catena-X data space using AWS This post explores how PACIFIC enables multi-tenant, sovereign PCF exchange on the Catena-X data space using Amazon Elastic Container Service (Amazon ECS) on AWS Fargate, Amazon Cognito, and AWS Identity and Access Management (IAM) to deliver measurable environmental impact and competitive advantage in a carbon-conscious marketplace.

📰 New article by Kevin S. Ridolfi, Anil Akarsu, Jonas Bürkel, Dr. Renè Holschuh

PACIFIC enables multi-tenant, sovereign product carbon footprint exchange on the Catena-X data space using AWS

#AWS #Architecture

Winter 2025 SOC 1 report is now available with 184 services in scope Amazon Web Services (AWS) is pleased to announce that the Winter 2025 System and Organization Controls (SOC) 1 report is now available. The report covers 184 services over the 12-month period from January 1, 2025 – December 31, 2025, giving customers a full year of assurance. This report demonstrates our continuous commitment to adhering to [...]

📰 New article by Tushar Jain, Atulsing Patil, Allen Beam, Jeff Cheung, Michael Murphy, Nathan Samuel, Noah Miller, Shalini Mishra, Will Black, Ziv Wand

Winter 2025 SOC 1 report is now available with 184 services in scope

#AWS #Security #Identity #Compliance

Centralized ingress inspection architecture in AWS Cloud WAN In this post, we explore architectural patterns for implementing centralized internet ingress with inspection using AWS Cloud WAN. We examine different design considerations and integration strategies with centralized internet egress while walking through practical examples and deployment scenarios. We demonstrate how to use the AWS Cloud WAN core networking capabilities alongside other AWS networking services [...]

📰 New article by Vihar Kodakandla, Mandar Alankar

Centralized ingress inspection architecture in AWS Cloud WAN

#AWS #Networking #CDN

Automated network incident response with AWS DevOps Agent Your on-call engineer gets paged at 2 AM. A payment service in Workload Account cannot reach a shared database in Shared Services Account. The Amazon CloudWatch alarm fired eight minutes ago. The engineer starts by checking route tables across two accounts, Amazon Virtual Private Cloud (Amazon VPC) attachment states, security group rules on both sides, [...]

📰 New article by Salman Ahmed, Ankush Goyal

Automated network incident response with AWS DevOps Agent

#AWS #Networking #CDN

Breaking Down Barriers: How AWS Democratizes Genomic Data for the World This blog is the first in a three-part series that explores how AWS is transforming genomic research through democratized data access, sovereign-by-design outbreak intelligence platforms, and population-scale biobanks that enable global collaboration while maintaining data security and privacy.

📰 New article by Dr. Dawn Heisey-Grove, Dr. Beryl Rabindran, Ankit Malhotra

Breaking Down Barriers: How AWS Democratizes Genomic Data for the World

#AWS #PublicSector

Deploying cloud-based engineering workbenches with the Virtual Engineering Workbench on AWS Introduction Organizations in automotive, manufacturing, and embedded systems increasingly rely on cloud-based development environments to reduce hardware dependency and accelerate software delivery. As vehicle architectures shift toward software-defined platforms, engineering teams need access to specialized toolchains, virtual hardware models, and simulation environments that are consistent across sites and reproducible across projects. Provisioning these environments manually [...]

📰 New article by Andrea Meroni, Alessandro Trisolini, Christoph Kappey, Dominik Goby, Hendrik Schoeneberg, Stanislav Kruglov, Darius Kunce

Deploying cloud-based engineering workbenches with the Virtual Engineering Workbench on AWS

#AWS #OpenSource

24 new or updated datasets available on the Registry of Open Data on AWS Learn how the Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS.

📰 New article by Kyle Cook

24 new or updated datasets available on the Registry of Open Data on AWS

#AWS #PublicSector

From developer desks to the whole organization: Running Claude Cowork in Amazon Bedrock Today, we’re excited to announce Claude Cowork in Amazon Bedrock. You can now run Cowork and Claude Code Desktop through Amazon Bedrock, directly or using an LLM gateway. In this post, we walk through how Claude Cowork integrates with Amazon Bedrock and show an example of how knowledge workers use it in practice.

📰 New article by Sofian Hamiti, Ayan Ray, Antonio Rodriguez

From developer desks to the whole organization: Running Claude Cowork in Amazon Bedrock

#AWS #AI #MachineLearning

CME Group MDP multicast data access on AWS using Transit Gateway This blog post shows you how to design an architecture that receives CME Group MDP multicast data on AWS, then deploy and configure the solution with setup steps.

📰 New article by Shiyang Wei, Yibai Liu

CME Group MDP multicast data access on AWS using Transit Gateway

#AWS #Industries

Impetus LeapLogic’s automated path to Amazon SageMaker Legacy application migrations can slow innovation and drain resources. Impetus LeapLogic simplifies modernization by automating code, pipeline, and validation workflows—accelerating migration to Amazon SageMaker with unmatched speed and confidence. Discover how LeapLogic and SageMaker empower enterprises to transform legacy workloads on AWS with reduced risk, greater efficiency, and faster business results.

📰 New article by Sujit Singh, Ashish Dahiya, Arpan Bhandari, Gurvinder Arora, Dayananda Swamy VT

Impetus LeapLogic’s automated path to Amazon SageMaker

#AWS #AWSPartnerNetwork

Unlock revenue insights in the new Attributed Revenue Dashboard The Attributed Revenue Dashboard in AWS Partner Central brings Partner Revenue Measurement insights to life with automated revenue data by Partner product, AWS service, and billing period. Partners can use these insights to demonstrate impact, sharpen co-sell strategies, and unlock greater AWS investment.

📰 New article by Jahnai Bilovsky, Kelly Bornholdt, Chris Xu

Unlock revenue insights in the new Attributed Revenue Dashboard

#AWS #AWSPartnerNetwork

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps In this post, we show how to combine DVC (Data Version Control), Amazon SageMaker AI, and Amazon SageMaker AI MLflow Apps to build end-to-end ML model lineage. We walk through two deployable patterns — dataset-level lineage and record-level lineage — that you can run in your own AWS account using the companion notebooks.

📰 New article by Manuwai Korber, Paolo Di Francesco, Nick McCarthy, Sandeep Raveesh-Babu

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps

#AWS #AI #MachineLearning

Real-time analytics: Oldcastle integrates Infor with Amazon Aurora and Amazon Quick Sight This post explores how Oldcastle used AWS services to transform their analytics and AI capabilities by integrating Infor ERP with Amazon Aurora and Amazon Quick Sight. We discuss how they overcame the limitations of traditional cloud ERP reporting to deploy real-time dashboards and build a scalable analytics system. This practical, enterprise-grade approach offers a blueprint that organizations can adapt when extending ERP capabilities with cloud-native analytics and AI.

📰 New article by Avdhesh Paliwal, Erik Cordsen, Meera Balasubramaniam, Sourabh Jain

Real-time analytics: Oldcastle integrates Infor with Amazon Aurora and Amazon Quick Sight

#AWS #Architecture

Configure a custom domain name for your Amazon MSK cluster enabled with IAM authentication In the first part of Configure a custom domain name for your Amazon MSK cluster, we discussed about why custom domain names are important and provided details on how to configure a custom domain name in Amazon MSK when using SASL_SCRAM authentication. In this post, we discuss how to configure a custom domain name in Amazon MSK when using IAM authentication.

📰 New article by Mazrim Mehrtens, Mark Taylor, Subham Rakshit

Configure a custom domain name for your Amazon MSK cluster enabled with IAM authentication

#AWS #BigData

Ring’s Billion-Scale Semantic Video Search with Amazon RDS for PostgreSQL and pgvector In this post, we share Ring’s billion-scale semantic video search on Amazon RDS for PostgreSQL with pgvector architectural decisions vs alternatives, cost-performance-scale challenges, key lessons, and future directions. The Ring team designed for global scale their vector search architecture to support millions of customers with vector embeddings, the key technology for numerical representations of visual content generated by an AI model. By converting video frames into vectors-arrays of numbers that capture what’s happening (visual content) in each frame – Ring can store these representations in a database and search them using similarity search. When you type “package delivery,” the system converts that text into a vector and finds the video frames whose vectors are most similar-delivering relevant results in under 2 seconds.

📰 New article by Alexander Onbysh, Gopinath Jagadesan, Sorin Maftei, Raj Vaidyanath, Shayon Sanyal, Steve Dille

Ring’s Billion-Scale Semantic Video Search with Amazon RDS for PostgreSQL and pgvector

#AWS #Databases

Aurora Serverless: Faster performance, enhanced scaling, and still scales down to zero Amazon Aurora Serverless is an on-demand, auto scaling configuration for Aurora that scales up to support your most demanding workloads and down to zero when you don’t need it. The latest improvements deliver up to 30% better performance and enhanced scaling that understands your workload. These enhancements are available at no additional cost for a better price-performance ratio. In this post, we’ll share recent performance and scaling improvements with benchmark results, showing how Aurora Serverless can now scale up to 45.0% faster with a 32.9% faster workload completion time.

📰 New article by Jiaming Yan, Ashok Kurakula, Nashad Safa

Aurora Serverless: Faster performance, enhanced scaling, and still scales down to zero

#AWS #Databases

How retailers solve the customer identity puzzle with Amperity and AWS In this blog post, learn more about Chuck Data which is a command-line AI agent for customer data, built by Amperity. It embeds years of customer data expertise and multi-patented identity resolution algorithms.

📰 New article by Isha Doshi, Eric Garner, Joe Timmes, Pragyan Tripathi, Punit Naik

How retailers solve the customer identity puzzle with Amperity and AWS

#AWS #Industries

The four questions every government leader should be asking about AI Learn how the pace of change in AI is reshaping how governments approach national security, economic progress, scientific discovery, and critical infrastructure.

📰 New article by David Appel

The four questions every government leader should be asking about AI

#AWS #PublicSector

Amazon EVS now offers Windows Server Licensing: A step-by-step guide Flexibility, control, and choice have always been core pillars of the Amazon Elastic VMware Service (Amazon EVS). Amazon EVS gives you the ability to maintain existing investments in VMware technologies while embracing the benefits of the cloud. With Amazon EVS, you can run VMware Cloud Foundation (VCF) directly within your Amazon VPC on EC2 bare-metal [...]

📰 New article by James Selwood, Allan Scott, Alex Pylnev, Bianca Velasco

Amazon EVS now offers Windows Server Licensing: A step-by-step guide

#AWS #Migrations #Modernization

Getting started with the Oracle Database@AWS high performance networking In this post, we explore Oracle Database@AWS high performance networking capabilities and provide a step-by-step guide to help you configure and deploy this feature.

📰 New article by Sameer Malik, Kevin Closson

Getting started with the Oracle Database@AWS high performance networking

#AWS #Databases

Migrate third-party and self-managed Apache Kafka clusters to Amazon MSK Express brokers with Amazon MSK Replicator In this post, we walk you through how to replicate Apache Kafka data from your external Apache Kafka deployments to Amazon MSK Express brokers using MSK Replicator. You will learn how to configure authentication on your external cluster, establish network connectivity, set up bidirectional replication, and monitor replication health to achieve a low-downtime migration.

📰 New article by Ankita Mishra, Mazrim Mehrtens

Migrate third-party and self-managed Apache Kafka clusters to Amazon MSK Express brokers with Amazon MSK Replicator

#AWS #BigData

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes with 1, 2, 4, and 8 RTX PRO 6000 GPU instances, with each GPU providing 96 GB of GDDR7 memory. This launch provides the capability to use a single-node GPU, G7e.2xlarge instance to host powerful open source foundation models (FMs) like GPT-OSS-120B, Nemotron-3-Super-120B-A12B (NVFP4 variant), and Qwen3.5-35B-A3B, offering organizations a cost-effective and high-performing option.

📰 New article by Hazim Qudah, Dmitry Soldatkin, Venu Kanamatareddy, Sanghwa Na

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

#AWS #AI #MachineLearning