Amazon SageMaker(AMZN)

Amazon EMR Serverless is now generally available in six additional AWS Regions - Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Taipei), Asia Pacific (Thailand), and Mexico (Central). Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple and cost effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run your Apache Spark and Apache Hive applications without having to configure, optimize, tune, or manage clusters. EMR Serverless offers fine-grained automatic scaling, fast launch times, customizable worker configurations, and support for batch, interactive and streaming workloads. To get started, visit the Amazon EMR Serverless User Guide . For pricing info, visit the EMR Serverless pricing page .

Today, AWS announces that the AWS Partner Central agents now accelerate opportunity creation through natural language conversation. AWS Partner Central agents , released on March 16, 2026, are AI-powered capabilities built on Amazon Bedrock AgentCore that help partners surface pipeline insights, advance deals with next-step recommendations, and identify funding opportunities. With this update, partners create opportunities through a short conversation instead of completing a multi-step form, so partner sales teams spend less time on data entry and more time selling. Partners describe a deal in natural language, upload meeting notes, proposals, or call transcripts (PDF, DOCX, Excel, TXT), or clone an existing opportunity. The agent extracts the information, enriches customer details, and recommends improvements — such as adding missing context, correcting field values, or strengthening the business problem statement — so partners submit higher-quality opportunities, improve pipeline hyg

Amazon Connect Cases now supports editing and deleting related items, and deleting cases directly from the agent workspace without administrator help. Agents can update comments, unlink contacts associated with the wrong case, or delete cases opened in error. Agents can also create, edit, and delete custom related items such as orders, returns, and invoices to capture additional case context. 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 and documentation .

Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor versions 11.22-rds.20260224, 12.22-rds.20260224, and 13.23-rds.20260224. We recommend that you upgrade to these versions to fix known security vulnerabilities and bugs in prior versions of PostgreSQL. Amazon RDS Extended Support provides up to three additional years of critical security and bug fixes beyond a major version's end of standard support date, giving you more time to upgrade to a new major version. Learn more about Extended Support in the Amazon RDS User Guide . You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical repl

Amazon Managed Grafana now supports in-place upgrade from Grafana version 10.4 to 12.4. You can upgrade with just a few clicks from the AWS Console or via AWS SDK or AWS CLI. Upgrading to version 12.4 brings native Grafana Scenes-powered dashboards for faster rendering and queryless Drilldown apps for point-and-click exploration of Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiles. Amazon CloudWatch plugin enhancements simplify log analysis with PPL/SQL query support, broaden visibility through cross-account Metrics Insights, and surface issues proactively with log anomaly detection. The rebuilt table visualization delivers smoother performance with CSS cell styling and interactive Actions buttons, while trendline transformations and navigation bookmarks streamline data exploration.  In-place upgrade to Grafana 12.4 is supported in all  AWS regions  where Amazon Managed

AWS announces the public preview of AWS Interconnect — multicloud with Oracle Cloud Infrastructure (OCI). Customers have been adopting multicloud strategies while migrating more applications to the cloud. They do so for many reasons including interoperability requirements, the freedom to choose technology that best suits their needs, and the ability to build and deploy applications on any environment with greater ease and speed. Previously, when interconnecting workloads across multiple cloud service providers (CSPs), customers had to go the route of a ‘do-it-yourself’ multicloud approach, leading to complexities of building and managing global multi-layered networks at scale. AWS Interconnect - multicloud is the first purpose-built product of its kind and a new way of how clouds connect and talk to each other, allowing customers to quickly provision resilient, scalable private connections to other cloud providers. OCI is the latest CSP to adopt the open specification that powers AWS I

AWS Organizations now supports higher quotas for service control policies (SCPs). The maximum number of SCPs that can be attached to a single node (root, OU, or account) has increased from 5 to 10, and the maximum SCP size has increased from 5,120 to 10,240 characters. With these higher quotas, you can write SCPs with finer-grained permissions and conditions, and attach more SCPs per node to build more comprehensive security controls across your organization. These higher quotas are available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions, and are available automatically to all organizations with no action required. To learn more, see quotas for AWS Organizations in the AWS Organizations User Guide .

Amazon CloudFront now supports passthrough mode for mutual TLS (mTLS) viewer authentication, allowing CloudFront to forward client certificates to the origin without verifying the certificates on CloudFront. Customers who already validate client certificates at their origin can now add CloudFront to their existing mTLS infrastructure without changing how or where validation happens. In passthrough mode, customers configure mutual TLS on their CloudFront distribution without setting up a trust store. CloudFront forwards every request along with the client's full certificate chain directly to the origin for authentication. Connection functions, which allow customers to inspect or transform connection-level data at the edge, still run on every request, enabling customers to process or reformat certificate headers before requests reach the origin. Customers benefit from CloudFront's global edge network while maintaining their current mutual TLS authentication architecture. Passthrough mode

Amazon CloudFront now supports Online Certificate Status Protocol (OCSP) revocation checking for viewer mTLS, enabling you to validate client certificate revocation status in real time during connection establishment. This enables customers using mutual TLS (mTLS) on CloudFront  to verify that client certificates haven't been revoked before accepting connections—a common requirement for regulated industries and zero-trust architectures. Previously, customers implemented certificate revocation using CloudFront Functions and KeyValueStore, maintaining static revocation lists that were only as current as the last manual update. With OCSP, CloudFront queries the responder URL embedded in the client certificate at connection time, validating revocation status directly with the issuing Certificate Authority. CloudFront caches OCSP responses for up to 30 minutes to minimize latency impact on subsequent connections. The OCSP result is exposed in the connection function, enabling cust

Customers spend days to weeks optimizing prompts and evaluating responses when they want to migrate to a new model or just get better performance out of their current model. They struggle with changing their prompts quickly and then testing them to prevent regressions and improve on underperforming tasks. These situations call for the same tool – a prompt optimizer with built-in evaluations.  Today, Amazon Bedrock introduces Advanced Prompt Optimization, a new tool that allows customers to optimize their prompts for any model on Bedrock, while comparing their original prompts to their optimized prompts across up to 5 models simultaneously. Customers can use this if they are migrating to a new model or just want to get better performance on their current model. If they’re changing models, they can select their current model as a baseline and up to 4 other models. If they aren’t changing models

Amazon Web Services announces general availability of Amazon EC2 M3 Ultra Mac instances, powered by the latest Mac Studio hardware. Amazon EC2 M3 Ultra Mac instances are the next-generation EC2 Mac instances, that enable Apple developers to migrate their most demanding build and test workloads onto AWS. These instances are ideal for building and testing applications for Apple platforms such as iOS, macOS, iPadOS, tvOS, watchOS, visionOS, and Safari.    M3 Ultra Mac instances are powered by the AWS Nitro System, providing up to 10 Gbps network bandwidth and 8 Gbps of Amazon Elastic Block Store (Amazon EBS) storage bandwidth. These instances are built on Apple M3 Ultra Mac Studio computers featuring a 28-core CPU, 60-core GPU, 32-core Neural Engine, and 256GB of unified memory. Compared to EC2 M4 Max Mac instances, M3 Ultra Mac instances provide 2x the unified memory, 1.75x the CPU cores, 1.5x the GPU cores, and 2x the Neural Engine cores, giving Apple