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AWS Elemental MediaTailor now automatically authenticates server-to-server connections with Google Ad Manager (GAM), Google Campaign Manager (GCM), and Google Display & Video 360 (DV360). This delivers a seamless integration experience for customers using Google's ad platforms. MediaTailor provides server-side ad insertion (SSAI) to personalize ads in video streams. Google requires SSAI providers to establish a secure, authenticated connection when making ad requests and firing ad tracking events. Previously, MediaTailor customers needed to request activation of this integration through an AWS support case and be added to an allow list. With this update, MediaTailor automatically detects requests destined for Google's ad servers and establishes the required secure connection — no customer action required. Specifically: Google Ad Manager (GAM): Server-side ad requests to Google's ad server for publishers are automatically secured, which is r

AWS Serverless Application Model Command Line Interface (SAM CLI) now supports BuildKit for building container images from Dockerfiles, enabling faster, more efficient container image builds for Lambda functions packaged as container images. SAM CLI is a command-line tool for building, testing, debugging, and packaging serverless applications locally before deploying to AWS Cloud. Developers packaging Lambda functions as container images often need advanced build features provided by BuildKit to optimize their images for production. However, SAM CLI previously did not support BuildKit features. Now, with BuildKit support in SAM CLI, you can utilize multi-stage builds to create smaller final images without development dependencies, improved caching to reduce rebuild times, and better parallelization of build steps. BuildKit also enables cross-archite

AWS Serverless Application Model (AWS SAM) now supports WebSocket APIs for Amazon API Gateway, enabling you to define complete WebSocket APIs with minimal configuration in your SAM template. AWS SAM is a collection of open-source tools that make it easy for you to build and manage serverless applications. WebSocket APIs are critical for real-time applications such as chat, live dashboards, AI/LLM streaming, and IoT. However, SAM previously did not support WebSocket APIs, requiring you to manually configure all of the underlying resources in AWS CloudFormation. This made it difficult to debug common issues such as missing IAM permissions for Lambda functions. Now, SAM handles all of this automatically, generating the required resources and permissions from your template. The new resource provides feature parity with

Amazon ElastiCache customers can now detect network throttling, memory fragmentation, and connection exhaustion, using thirteen new Amazon CloudWatch metrics for node-based clusters. You can monitor these host-level and engine-level diagnostics directly from CloudWatch without running INFO commands on individual nodes or calculating baselines from raw byte counters. Network capacity: NetworkBaselineUsageInPercentage, NetworkBaselineUsageOutPercentage, NetworkBaselineMaxUsageInPercentage, and NetworkBaselineMaxUsageOutPercentage report network utilization relative to instance baseline, enabling portable alarms that remain valid across instance type changes. Values above 100 percent signal that a host is consuming burst credits, a leading indicator that a sustained workload will eventually lead to credit exhaustion and throttling. The variants capturing max report pe

Amazon WorkSpaces, AWS's fully managed cloud desktop service, now enables AI agents to securely access and operate desktop applications through managed WorkSpaces environments. Many enterprises run critical business processes on desktop applications—mainframes, ERP systems, and proprietary tools—that lack modern APIs, creating a "last-mile challenge" for AI agents. WorkSpaces now allows organizations to automate everyday workflows at scale while maintaining full enterprise-grade governance and compliance. AI agents built on any framework and running anywhere—cloud-hosted, on-premises, or hybrid—can now connect to business applications with minimal code using industry-standard Model Context Protocol (MCP) integration. Builders gain fast time-to-value without standing up new infrastructure, while IT administrators maintain centralized permissions, logging, and auditing controls identical to human WorkSpaces environments. Enterprise observability features including scre

AWS IoT Core for Device Location now supports two enhancements that give developers greater control over location resolution and richer metadata for resolved device locations. Customers using the Cell ID, Wi-Fi, or Cell+Wi-Fi solvers can now specify a desired confidence level between 50% and 99% when resolving device locations. The confidence level represents the statistical probability that the actual device location falls within the reported accuracy radius. A higher confidence level (for example, 95%) increases certainty that the device falls within the reported radius but produces a larger accuracy radius. A lower confidence level (for example, 50%) yields a smaller radius with less certainty. Customers can now configure this value to balance accuracy and confidence based on their specific requirements. This feature is currently supported for HTTP-based location resolution. This update also introduces a measurement type field in resolved location metadata, givi

Amazon MQ now supports in-place version upgrades for RabbitMQ brokers, enabling you to upgrade your brokers to RabbitMQ 4 without creating a new broker or migrating your data. You can now upgrade from RabbitMQ 3.13 to 4.2, directly from the Amazon MQ console, AWS CLI, or API. In-place upgrades preserve your broker configuration, queues, exchanges, bindings, users, and policies. RabbitMQ 4.2 introduces breaking changes including the removal of classic mirrored queues and migration from Mnesia to the Khepri metadata store. Brokers must be running on M7G (Graviton) instance types and must not have classic mirrored queues to be eligible for the upgrade. A queue migration tool is available to convert classic mirrored queues to quorum queues before upgrading. During a major version upgrade, your broker will be unavailable while Amazon MQ performs the upgrade. To upgrade your broker, simply select RabbitMQ 4.2 as your version through the AWS Management console, AWS CLI, o

Amazon Quick, your AI assistant for work, now integrates with New Relic's AI agents, enabling on-call engineers, SREs, and engineering leaders to investigate incidents, generate root cause analysis briefs, and create tracked tasks without leaving their Amazon Quick workspace. After connecting to New Relic's remote model context protocol (MCP) server, you can invoke New Relic's AI agents directly from a conversational prompt in Quick – including alert insights, user impact analysis, log analysis, transaction diagnostics, and natural language NRQL queries. In a single chat exchange, you can investigate an incident across your observability data, generate a root cause analysis (RCA) document with evidence links, and send it as an email attachment. Quick Flows can also invoke New Relic AI agents to automate recurring triage runbooks or escalation workflows. Because Quick surfaces responses alongside enterprise knowledge stored in Spaces&

Amazon Elastic Kubernetes Service (Amazon EKS) now supports using the Amazon EKS console, and AWS Command Line Interface (CLI) to install and manage the Amazon Elastic Cloud Compute (EC2) Container Storage Interface (CSI) driver. This launch enables a simple experience for attaching a EC2 local instance store to an EKS cluster. The Amazon EC2 Instance Store CSI driver is a plugin that enables Kubernetes to use EC2 instance store volumes. Instance store volumes provide ephemeral block-level storage that is physically attached to the host computer. The driver manages the lifecycle of these NVMe storage volumes and makes them available as Kubernetes persistent volumes.  This feature is available in all commercial reg

Amazon Connect Cases now automatically reassociates cases when duplicate customer profiles are merged, so agents always see a complete case history for each customer. When the same customer has multiple profiles, such as when they reach out through different channels or provide different contact details, Identity Resolution in Amazon Connect Customer Profiles detects and merges those duplicates, and Cases now brings all associated cases together under the unified profile. Agents no longer have to search across profiles or piece together a customer's history manually. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage