Salesforce and AWS are accelerating agentic AI transformation by pioneering solutions that make advanced AI accessible, secure, and outcome-oriented through unified data access, interoperable AI agents, modernized contact centers, and streamlined procurement via AWS Marketplace. This decade-long collaboration empowers enterprises to confidently adopt agentic systems with the same trust they had moving to the cloud, delivering personalized, AI-powered experiences at scale.

This blog is co-authored by Steve Cockett, Sports Data Adviser – Tech, at Warner Bros. Discovery and Andrea Fanfani, Principal Product Manager – Tech, at Warner Bros. Discovery. Feed latency and marker accuracy are two critical challenges in live sports broadcasting. Warner Bros. Discovery (Nasdaq: WBD) has developed a solution to tackle both as it [...]

If you’ve launched an online multi-player game, you’re aware that few things are as frustrating (and perhaps inevitable) as forum complaints about latency. It can often be challenging to separate issues which you can influence (proximity of servers or code optimization) from problems outside of your control (under-sized hardware or network issues on the player [...]

AWS is committed to empowering the FinOps community with the knowledge, tools, and best practices needed to excel in cloud financial management. Our dedication to the FinOps community goes beyond providing world-class cloud services—we’re invested in your professional growth and success. Through our comprehensive digital training portfolio, we aim to equip FinOps professionals with the expertise needed to drive meaningful cost optimization, establish effective governance frameworks, and demonstrate clear business value from cloud investments. Today, we’re excited to share updates to our Cloud Financial Management training courses and introduce a specialized new course designed specifically for the growing demands of generative AI cost management.

AWS launched Amazon EBS Volume Clones, a new capability that allows users to create instant point-in-time copies of EBS volumes within the same Availability Zone with a single API call, eliminating the previous multi-step process of taking snapshots and creating volumes from them.

AWS Transfer Family SFTP connectors now support VPC-based connectivity, allowing secure file transfers between Amazon S3 and remote SFTP servers through your existing VPC infrastructure without exposing endpoints to the internet.

By using Amazon Bedrock AgentCore, developers can build agentic workloads using a comprehensive set of enterprise-grade services that help quickly and securely deploy and operate AI agents at scale using any framework and model, hosted on Amazon Bedrock or elsewhere. AgentCore services are modular and composable, allowing them to be used together or independently. To [...]

Co-authored by CHS SAP team members Haritha Malempati, Naresh Kumar Aedudodla, and Mukesh Kakani AWS customer CHS has learned a lot about operating in the cloud since beginning their SAP on AWS journey in 2020. Today we’ll reflect on their 4+ years of production operation in the cloud and explore how they delivered efficiency gains [...]

Amazon Q Developer CLI (Amazon Q CLI) with the Model Context Protocol (MCP) for Billing and Cost Management and Amazon CloudWatch enables teams to quickly generate detailed cost analyses, perform deep dives into usage patterns, and receive optimization recommendations through a streamlined interface. Amazon Q CLI with MCP servers simplifies CloudWatch cost analysis. Using natural language prompts, you can identify cost drivers and receive optimization recommendations for your resources. This streamlined approach minimizes manual exploration, enhances financial control, and improves cloud efficiency.

Amazon Bedrock is now available for resale by AWS Channel Partners in the Solution Provider and Distribution programs, providing customers access to the fully managed generative AI service with foundation models from leading providers including AI21, Anthropic, Cohere, Meta, and OpenAI.

In this post, we introduce the Slinky Project and explore how it enables organizations to run Slurm workload management within Amazon EKS, combining the deterministic scheduling capabilities of Slurm with Kubernetes’ dynamic resource allocation for efficient hybrid workload management. This unified approach allows teams to maximize resource utilization across both batch processing jobs and cloud-native applications without maintaining separate infrastructure silos.

In this post, we explore how zero-ETL integration works, the key benefits it delivers for data-driven teams, and how it aligns with the broader zero-ETL strategy in AWS services. You’ll learn how this integration can enhance your data workflows, whether you’re building predictive models, entering interactive SQL queries, or visualizing business trends. By eliminating traditional extract, transform, and load (ETL) processes, this solution enables real-time intelligence securely and at scale to help you make faster, data-driven decisions.

In this post, we explore how enterprises can transform their Oracle Database environments by combining Accenture’s proven migration expertise with Oracle Database@AWS’s innovative capabilities to achieve faster modernization, enhanced performance, and seamless integration with AWS services

This post builds on our workshop “Build multi-party crypto wallets with AWS Nitro Enclaves” which demonstrates a Shamir Secret Sharing (SSS) application. The SSS app securely splits cryptographic private keys into multiple shards, requiring a threshold number to reconstruct the original key, ideal for Nitro Enclaves as it prevents any single party from accessing the complete key while maintaining operational functionality. AWS Nitro Enclaves provide isolated environments that keep critical operations such as decryption and cryptographic key management secure from both from root user and external threats.

In this post, we explore how to build a conversational device management system using Amazon Bedrock AgentCore. With this solution, users can manage their IoT devices through natural language, using a UI for tasks like checking device status, configuring WiFi networks, and monitoring user activity.

This post shows how Salesforce integrated Amazon Bedrock Custom Model Import into their machine learning operations (MLOps) workflow, reused existing endpoints without application changes, and benchmarked scalability. We share key metrics on operational efficiency and cost optimization gains, and offer practical insights for simplifying your deployment strategy.

Global enterprises often design their customer service architecture using multiple Amazon Connect instances across regions – for example, using US region instances for US customers and EU region instances for EU customers. These organizations frequently need to route emails from a single domain to different regional Amazon Connect instances. This blog post demonstrates how Amazon [...]

At California Community Colleges (CCC), administrators estimate that nearly one in five applications is fraudulent. That creates a difficult choice for the college system, whose core mission is to make higher education as accessible as possible. To intelligently and thoughtfully flag fraud at scale without restricting students’ ability to apply, the CCC turned to Amazon Web Services (AWS) and AWS partner, Pariveda Solutions, to develop a solution. In this blog post, you will learn how CCC and Pariveda built a machine learning (ML)-powered fraud detection and prevention solution that helps identify and manage fraudulent accounts before they reach the campuses.

PartyRock, an Amazon Bedrock playground from Amazon Web Services (AWS), makes creating artificial intelligence (AI) applications simple and engaging—even if you have never written a line of code. With just a few steps, you can build your own AI assistant to help with homework, share with friends, or spark new creative ideas. Read this post to learn more.

Are you ready to transform your Microsoft workloads with AI-powered modernization and migration capabilities? AWS re:Invent 2025 brings you an extensive lineup of sessions focused on .NET modernization, SQL Server migration, and Windows workload optimization. As we gear up for AWS re:Invent 2025, we’re thrilled to present an extensive lineup of sessions focused on Microsoft [...]

AWS announces major certification updates, introducing the AWS Certified Generative AI Developer – Professional certification and refreshing the AWS Certified Security – Specialty exam with enhanced AI security coverage.

In this blog post, we will extend the analysis of the Optimize CPUs feature provided in a previous publication to other Amazon Elastic Compute Cloud (Amazon EC2) instances suitable for deployment of Microsoft SQL Server workloads on the Amazon Web Services (AWS) Cloud. Introduction In our previous blog post, we detailed the Optimize CPUs feature [...]

Version 2.0 of the AWS Deploy Tool for .NET is now available. This new major version introduces several foundational upgrades to improve the deployment experience for .NET applications on AWS. The tool comes with new minimum runtime requirements. We have upgraded it to require .NET 8 because the predecessor, .NET 6, is now out of [...]

Development and testing of AWS integrated applications incur AWS costs and need reliable internet connectivity. LocalStack helps reduce AWS costs by running emulated AWS services locally, while also eliminating connectivity issues. In this blog post, we will demonstrate how to reduce AWS costs for a sample .NET application in Development and Test cycles by setting [...]

IBM Db2 as a relational database is certainly not new to customers or on AWS. Recently Db2 has become available as an engine supported in Amazon Relation Database Service (RDS) with customers exploring shifting to managed and moving from their exiting Db2 or other engines to RDS for Db2. One consideration with RDS for Db2 [...]