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AWS Recent Announcements Note
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AWS Recent Announcements

AWS (Amazon Web Services) provides various services under its umbrella including compute, storage, security, and application services. Here are some recent announcements and updates: 1. AWS Outposts: AWS Outposts is a fully managed service that offers infrastructure consisting of compute, storage, and database capabilities. The latest update includes launch of Outposts in various countries. 2. AWS Lambda: Provides a compute service on-demand resource. Recent updates include enhancements for concurrency control and integration with Amazon API Gateway. 3. Amazon S3: Offers durable storage. Recent updates include the launch of the application migration API and encryption for snapshots. 4. AWS Billing: Allows you to view detailed billing information, and recent updates include improvements in billing details. 5. AWS Config: Provides resource monitoring, reporting, and auto-remediation for AWS resources. Recent updates include a notification action and AWS Step Functions. 6. AWS Multi-Region Access Point for Amazon S3: Multi-Region Access Points for S3 provide a global namespace to deliver a fast, secure, and resilient storage service. 7. Amazon Route 53: Provides domain registration and DNS service. Recent updates include support for multi-Region Access Points for S3. 8. AWS Lake Formation: A data engineering, data transformation and data governance service. Recent updates include creation of workflows and database credentials connection using JDBC drivers. 9. Amazon EMR: A big data processing service used for data processing, analytics, machine learning (ML) etc. Recent updates include cluster versioning and bug fixes. 10. AWS Step Functions: A service for coordinating the components of distributed applications and microservice-oriented architectures. Recent updates include enhanced task token input handling and auto-replace.
Recent Announcements aws.amazon.com
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RSS Hunter RSS Hunter • Aug 19, 2024

Thread Of Notes

Amazon Connect Customer now supports customizing the Customer Profiles app on the agent workspace

Amazon Connect Customer Profiles now allows administrators to customize which customer data that agents see in the agent workspace, and how it is displayed, using layouts they build in Profile Explorer. Customer Profiles provides agents with a real-time, unified view of each customer during interactions, combining contact history with customer data from multiple sources. Agents who handle different kinds of requests need different customer data in front of them. Within Profile Explorer, administrators can create and save each layout of Customer Profiles widgets, such as contact history, contact information, and lifetime value calculated attributes, and assign it to agents in place of the legacy Customer Profiles view. For example, an airline baggage claims agent sees contact history, active flights, and baggage ticket information, while a loyalty agent sees loyalty status, preferences, and upcoming flights. Layouts can also include an AI Profile Summary that focuses the agent's attention on key customer insights by summarizing the customer profile. You can use Profile Explorer in the following AWS Regions: US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), and Europe (London). To learn more about Profile Explorer, see Profile Explorer in the Amazon Connect Customer administrator guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/connect-customer-customize-cp aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AWS Continuum for code vulnerabilities is now generally available

Today, AWS announces the general availability of AWS Continuum for code vulnerabilities. Continuum for code vulnerabilities discovers, validates, prioritizes, and remediates code vulnerabilities at machine speed. Continuum for code vulnerabilities builds a context graph from your AWS environment, including resource topology, identity relationships, and network reachability. It knows which resources are part of your application, and which findings carry real business risk. It ingests your existing vulnerability findings, scans your code, and then confirms which findings are exploitable by testing them in an isolated sandbox. The findings are prioritized by business impact. And finally, it provides remediation patches as pull requests directly to developer workflows with exploitability proof and blast radius assessment attached. Continuum for code vulnerabilities picks the right AI model for each task. Continuum starts in Learn mode where it proposes the remediation fixes that you approve. When it builds sufficient trust in its precision, you switch to the Enforce mode and let it act autonomous within the guardrails you set.  AWS Continuum works alongside your existing AWS security services, including Amazon GuardDuty and AWS Security Hub. For more information about the AWS Regions where AWS Continuum is available, see the AWS Region table. To learn more, see the AWS Continuum product page.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-continuum-for-code-vulnerabilities-is-now-generally-available aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

Amazon OpenSearch Serverless now supports a 5-second default refresh interval

Starting today, Amazon OpenSearch Serverless reduces the default refresh interval to 5 seconds for both search and vector collections. The refresh interval controls how quickly newly ingested documents become available for search. By lowering the default from 10 seconds to 5 seconds, newly written data becomes searchable faster, giving applications quicker read-after-write visibility automatically, with no configuration changes and no action required on your part. This improvement applies to the next generation of Amazon OpenSearch Serverless and takes effect by default on both search and vector collections. Faster refresh is valuable for workloads that continuously ingest data and need near real-time retrieval, including full-text search over frequently updated content as well as vector use cases such as retrieval-augmented generation (RAG), semantic search, and recommendation and personalization systems. This means applications and AI agents can retrieve and act on the most recently ingested data sooner, improving the relevance and accuracy of search results and RAG responses for datasets that change frequently. The 5-second default refresh interval is available in all 24 regions where Amazon OpenSearch Serverless is available today. To learn more, see the Amazon OpenSearch Serverless documentation.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-opensearch-serverless-supports-5-second-refresh-interval/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AWS CloudFormation now simplifies stack update rollback operations

AWS CloudFormation now makes it simpler to complete an update rollback and get back to deploying. An update rollback returns your stack to a known good state. Starting today, if some resources cannot roll back automatically, force rollback enables you to complete the rollback it in a single operation. It works across every CloudFormation workflow, from the AWS CLI, and SDKs to AWS CDK and AI agents. With force rollback, CloudFormation completes the update rollback and returns your stack to a deployable state in a single operation, instead of requiring you to identify, list, and retry the operation for each affected resource. Any resource that still needs attention, such as one affected a change outside CloudFormation, is recorded for you to review and resolve it before your next deployment. To get started, run continue update rollback with the force rollback option, then create a drift-aware change set to review any configuration differences before your next deployment. To learn more, see  Continue rolling back an update  in the AWS CloudFormation User Guide. Force rollback is available in all Regions at no additional cost. Refer to the  AWS Region table  for service availability details.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-cloudformation-cdk/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

Amazon SageMaker AI announces training session APIs for serverless model customization

Amazon SageMaker AI serverless model customization now supports training session APIs, giving customers full control over their post-training algorithm without provisioning or managing GPU infrastructure. Managed techniques, including SFT, DPO, and other reinforcement learning methods, let customers pick a technique and a model and have SageMaker AI run the training. With training session APIs, teams get to write the training loop, whether that's reproducing SFT or DPO on their own terms or implementing a custom loss, a new RL reward signal, a data curriculum, or an algorithm straight from the latest research. Operations such as forward_backward(), optim_step(), and sample() become API calls against a live, stateful session, so customers compose whatever training procedure their technique requires while SageMaker AI handles GPU allocation, model and LoRA loading, distributed execution, fault recovery, checkpoint storage, and security. Customers can call these operations directly from their own Python code to drive reinforcement learning, supervised fine-tuning, or custom training objectives against a live session, with checkpointing and resume built in. Billing is per token processed, so local computation like reward scoring isn't billed as GPU time. SageMaker AI is also releasing the SageMaker training sessions cookbook, a set of ready-to-run SFT and RL recipes customers can use as blueprints for their own training loops. Training session APIs are generally available today in US East (N. Virginia), US West (Oregon), and Asia Pacific (Mumbai). To get started, install the SageMaker Python SDK and clone the cookbook, or launch a notebook in SageMaker Studio and connect a coding agent. To learn more, visit the documentation and the Amazon SageMaker AI webpage.
https://aws.amazon.com/about-aws/whats-new/2026/10/training-session-apis-on-sagemaker-ai aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AWS Direct Connect announces 100G expansion in Bangalore, India

Today, AWS announced the expansion of 100 Gbps dedicated connections at the existing AWS Direct Connect location in the Netmagic DC2 data center near Bangalore, India. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 150 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-direct-connect-100g-bangalore/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AWS announces AWS Interconnect - last mile preview with Megaport

AWS launches AWS Interconnect - last mile preview with Megaport, a fully managed connectivity offering that allows customers to connect their branch offices, data centers, and remote locations to AWS with just a few clicks, eliminating the friction and complexity of network setup. As a milestone collaboration between AWS and Megaport, AWS Interconnect - last mile combines AWS cloud innovation with Megaport operating one of the world's largest Software Defined Networks (SDN), with 1,200+ enabled data centers across 31 countries. Through the AWS Management Console, customers can now instantly establish private, high-speed connections to AWS by simply choosing their preferred AWS Region, bandwidth speed, Direct Connect Gateway ID and partner subscriber ID. Once initiated, AWS generates an activation key to complete connectivity provisioning with Megaport. The launch simplifies the connectivity experience by pre-provisioning capacity and automating complex network configuration including BGP peering, VLAN configuration, and ASN assignment. At GA, customers will also be able to dynamically scale bandwidth from 1 Gbps to 100 Gbps through the AWS Console. The service is designed for high availability, with zero down-time maintenance, backed by a 99.99% SLA.  AWS Interconnect - last mile is available in the San Jose (us-west-1) and N. Virginia (us-east-1) metros through Megaport. You can create a preview Interconnect using the AWS Management Console, Command Line Interface (CLI), or API. Partners can also easily adopt via a published open API package on GitHub. For more information, see the AWS Interconnect - last mile documentation and pricing pages.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-announces-AWS-interconnect-last-mile-megaport-preview/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

Amazon SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen 3.8 and Ministral 3 models

Amazon SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen3.8 27B, and Ministral 3 3B, 8B, and 14B models. In addition to deploying these models on SageMaker AI, you can now adapt them to your specific domains and workflows, using supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement fine-tuning (RFT) techniques. You can also adapt these models with either low-rank adaptation (LoRA) or full fine-tuning techniques. This launch adds these models to a wide variety of models available for serverless customization on SageMaker AI, including models from the Nova, Gemma 4, Nemotron 3.5, Qwen, Llama, gpt-oss, and DeepSeek families.Model customization lets you tailor foundation models with your proprietary data so a smaller, right-sized model can match frontier-model quality on your tasks, while also reducing cost and latency. You can use labeled data with SFT to improve accuracy on domain-specific tasks, preference data with DPO to align outputs with your organization's tone, or reward signals with RFT to improve performance on new tasks. With serverless customization, SageMaker AI handles all infrastructure provisioning and training orchestration, so you can focus on your data and evaluation rather than cluster management, and only pay for what you use.Serverless model customization on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). To get started, navigate to the Models page in Amazon SageMaker Studio to launch a customization job, use the SageMaker Python SDK or use our Agent skills with your choice of coding assistant. To learn more and see the full supported list of models, see the Amazon SageMaker AI model customization documentation.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-sagemaker-muse-qwen-ministral/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AgentCore Gateway now supports Bedrock InvokeModel APIs and model fallback

Amazon Bedrock AgentCore Gateway now supports the Amazon Bedrock InvokeModel and InvokeModelWithResponseStream APIs on its inference endpoint, along with model fallback routing for inference traffic. With InvokeModel support, you can point your existing Amazon Bedrock SDK integration at the gateway and reach any model provider through one governed endpoint, without rewriting client code for each provider. With model fallback, the gateway automatically routes a request to an alternative model or provider when the primary destination is throttled, out of capacity, or unreachable, so your agents stay available without each client implementing its own retry logic. For fallback routing, you define an ordered chain of alternative destinations in a gateway rule, along with the conditions that trigger a switch, such as throttling, server errors, or response timeouts. A built-in circuit breaker skips destinations that are currently failing, so requests reach a healthy destination faster and you avoid added latency for failed attempts. Fallback routing happens behind the scenes, which means you send one request and receive one response, regardless of the internal trial and error on a given request. These features are available in all AWS Regions where Amazon Bedrock AgentCore Gateway is available (except those in China). To learn more, see the Amazon Bedrock AgentCore Gateway User Guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/agentcore-gateway-invokemodel-fallback/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AWS Lambda MicroVMs is now available in 4 additional AWS regions

AWS Lambda MicroVMs is now available in 4 additional AWS Regions: Asia Pacific (Hong Kong), Asia Pacific (Malaysia), Asia Pacific (Thailand), and Europe (Spain). With this launch, you can use Lambda MicroVMs in a total of 14 AWS Regions. Lambda MicroVMs is a serverless compute primitive that provides VM-level isolation, near-instant launch and resume speeds, and state preservation for executing user or AI generated code.  Developers can use Lambda MicroVMs to give each user or job their own isolated compute environment without managing virtualization infrastructure or choosing between isolation, speed, and state retention. MicroVMs enable secure, stateful, and responsive code execution for applications including AI coding assistants, interactive development environments, and vulnerability scanners. With today's launch, developers can run Lambda MicroVMs closer to their end-users in 4 additional Regions, helping meet latency and data residency requirements. To get started, create a MicroVM image from your Dockerfile, then launch MicroVMs from that image. Give each user or job their own MicroVM with a dedicated HTTPS URL that supports popular connectivity protocols such as HTTP/2, gRPC, and WebSockets. You can use MicroVMs through the AWS Lambda console, AWS CloudFormation, AWS Cloud Development Kit, or with your preferred Agentic development tools using the Agent Toolkit for AWS. To learn more, visit the AWS Lambda MicroVMs developer guide. For information on pricing, see Lambda MicroVMs pricing. Visit the AWS Capabilities by Region page for the latest region availability.
https://aws.amazon.com/about-aws/whats-new/2026/10/lambda-microvms-4-additional-regions aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

Amazon Quick Now Available in the AWS Singapore Region

Amazon Quick is now available in the AWS Asia Pacific (Singapore) region (ap-southeast-1). This launch allows customers in Singapore to access the full power of Amazon Quick while meeting local requirements for data sovereignty. Amazon Quick provides business users an agentic teammate that quickly answers questions at work and turns those answers into actions. With Amazon Quick, every user is empowered to make better decisions faster and take actions without switching applications using AI they can trust. Today’s launch allows customers to take advantage of Amazon Quick’s capabilities including AI-powered chat, Research, Spaces, and QuickSight dashboards — with their data stored and processed locally within the AWS Singapore region.  For a full list of AWS regions where Amazon Quick is available, visit the Quick regional availability page. To learn more, visit the Amazon Quick documentation or product detail page.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-quick-now-available-in-the-aws-singapore-region/ aws.amazon.com
RSS Hunter RSS Hunter • Yesterday

AWS Transform adds storage migration assessments for Amazon S3, EBS, EFS, and FSx

Migration assessments in AWS Transform now evaluate on-premises storage for migration to AWS. Instead of manually analyzing thousands of volumes across protocols, capacity, and performance, you upload a storage inventory and AWS Transform does the mapping for you. It matches each workload to the best-fit service, sizes the recommendation, and projects costs to produce a total cost of ownership business case. Bring NAS shares, SAN LUNs, direct-attached disks, or backup repositories via a NetApp Digital Advisor export, RVTools file, or other inventory. AWS Transform routes workloads across Amazon S3, Amazon EBS, Amazon EFS, and Amazon FSx (NetApp ONTAP, Windows File Server, OpenZFS, Lustre). Run what-if scenarios to compare deployment options such as Single-AZ vs. Multi-AZ or cost-optimized vs. performance-optimized, then ask follow-up questions about any result in chat. Storage migration assessments are available in all AWS Regions where AWS Transform is available. To learn more, see the AWS Transform User Guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/transform-assess-s3-ebs-efs-fsx/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

AWS Service Reference Information now supports global condition keys, service names, and data plane classification

AWS is expanding programmatic service reference information to help you automate IAM policy management and keep your policies aligned with the latest service updates. The service reference now includes all aws:-prefixed global condition keys in a single machine-readable file, a ServiceName field mapping service identifiers to human-readable names, and an IsDataPlane property identifying which actions are data plane operations. You can automate retrieval of this information to eliminate manual effort, and incorporate it directly into your existing policy management tools and processes. This feature is available at no additional cost. To get started, refer to the documentation on programmatic service reference information.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-service-reference-information-global-condition-keys-service-names-data-plane/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

AWS Direct Connect announces 100G expansion in Manchester, England

Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the Equinix MA3 data center near Manchester, England. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This is the third AWS Direct Connect location in England to provide 100 Gbps connections with MACsec encryption capabilities. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 150 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-direct-connect-100g-manchester/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

Amazon Cognito extends multi-Region replication to AWS GovCloud (US) Regions

Amazon Cognito multi-Region replication (MRR) now supports AWS GovCloud (US) Regions, extending the resilience benefits of MRR to more workloads. MRR lets you synchronize user and machine identity data, including credentials, user pool configurations, and federation setups, to a secondary user pool in a standby Region you designate, in near real-time. With user data in the standby Region, you can redirect traffic and keep authentication available if there is a disruption in your primary Region. Previously, MRR was available in 16 commercial Regions. You can now also use MRR to replicate between additional AWS Regions, helping you meet resilience, data residency, and compliance requirements in the Regions that best align with your business needs. MRR is available as an add-on for user pools in the Essentials or Plus feature tiers, and requires a multi-Region AWS KMS customer managed key (CMK). For the full list of AWS Regions where Amazon Cognito is available, see AWS Capabilities by Region. To get started, visit the developer guide for instructions and the pricing page for pricing details.
https://aws.amazon.com/about-aws/whats-new/2026/10/cognito-multi-region-us-govcloud/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

Amazon Aurora and Amazon RDS now support On-Demand Capacity Reservations

Starting today, you can reserve compute capacity for your Amazon Aurora and Amazon RDS DB instances in one or more Availability Zones for as long as you need it. Reserving capacity helps ensure that DB instance create, restore, scale-compute, and start operations don't fail because of insufficient capacity. On-Demand Capacity Reservations are designed for workloads that need assurance that specific DB instance capacity will be available when they need it for business-critical events, such as migrations, product launches, seasonal peaks, high-availability deployments, or disaster recovery. You choose the DB instance class, engine, Availability Zones, and reserved capacity per Availability Zone, and RDS holds that capacity for you. Capacity can be reserved in two or more Availability Zones to support Multi-AZ deployments. To use the reserved capacity, reference the reservation when you create, restore, modify, or start a DB instance. You can reserve capacity for immediate use with no commitment and cancel at any time, or schedule a reservation to begin 5 to 120 days in the future with a minimum commitment. Reserved capacity is billed at On-Demand rates while the reservation is active, whether or not DB instances within the reservation are running. Discounts from your existing Reserved DB Instances or Database Savings Plans apply automatically. On-Demand Capacity Reservations are available for Amazon Aurora and Amazon RDS in all AWS commercial Regions. To learn more about On-Demand Capacity Reservations, visit the documentation for Amazon Aurora and Amazon RDS.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-aurora-rds-on-demand-capacity-reservations/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

AWS Neuron 2.33 adds native PyTorch support, Neuron Observer, and other new features

AWS Neuron 2.33 is released, featuring TorchNeuron, a native PyTorch backend for AWS Trainium, in public beta. Users can now run standard PyTorch models on Amazon EC2 Trn2 and Trn3 instances using eager mode or torch.compile. This update also introduces Neuron Observer in public beta to quickly detect and diagnose Trainium health issues. The vLLM Neuron plugin is upgraded to vLLM 0.29.0, and the vLLM Omni Neuron plugin for video generation is now integrated. Both plugins leverage TorchNeuron for native PyTorch compilation. New Neuron Deep Learning AMIs and Containers include TorchNeuron, PyTorch 2.14, and TorchTitan for PyTorch training. Neuron Explorer now attributes memory allocations to specific Python source lines for debugging out-of-memory errors. Kernels written using the Neuron Kernel Interface (NKI) can now utilize the full Python language for metaprogramming. The NKI Library has added 25 new experimental kernels, including those for recent large language models and attention mechanisms. These enhancements aim to simplify PyTorch training on AWS Trainium and improve debugging capabilities.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-announce-neuron-2-33-0 aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

Amazon Connect Customer launches two new layouts for agent workspace

Amazon Connect Customer now offers two different layouts that optimize screen space on the agent workspace. Contact center agents spend hours each day in the agent workspace, which includes all of the contact controls and applications they need to resolve customer issues. Agents who handle different channels and workflows want the workspace arranged differently, so that they can quickly read, respond, and access their tools. Now, administrators can choose the best layout for each team, maximizing agent efficiency and satisfaction. On the Modern layout, contact controls are at the top of the workspace, maximizing screen space for the applications beneath during voice calls. When agents handle chat, email, and task contacts on the Modern layout, they now have a taller, wider area to read and respond. The Classic layout offers a familiar experience for agents already using the agent workspace, now with contact controls that expand and contract by channel and a resizable agent assist application. Administrators can assign the Modern layout to a team migrating from another agent desktop with controls at the top, while teams already familiar with the agent workspace can use the Classic layout. You can use the new layouts for the Amazon Connect Customer agent workspace in the following AWS regions: US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), and Europe (London). To learn more and get started, see the agent workspace in the Amazon Connect Customer administrator guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/connect-customer-new-layouts-agent-workspace aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

Amazon S3 server access log delivery to Amazon CloudWatch Logs now available in five additional AWS Regions

Amazon S3 server access log delivery to Amazon CloudWatch Logs is now available in the AWS GovCloud (US) Regions, AWS European Sovereign Cloud, and AWS China Regions. With your access logs in CloudWatch Logs, you can query them as they arrive, set alarms, and encrypt them with AWS Key Management Service (AWS KMS) keys. This new delivery path complements the existing delivery of server access logs to S3 general purpose buckets, giving you more flexibility in how you monitor and analyze access to your data. With delivery to CloudWatch Logs, you can set alarms on error rates, monitor traffic patterns, investigate access incidents, and correlate S3 access activity with the rest of your operational data. S3 server access log delivery to CloudWatch Logs is now available in all AWS Regions. Amazon CloudWatch Logs charges for vended logs apply. For pricing details, visit Amazon CloudWatch pricing. To learn more, visit the Amazon S3 User Guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-s3-server-access-logs-cloudwatch-logs-regions/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

Amazon SageMaker AI now supports custom sequence lengths for serverless model customization jobs

Today, Amazon SageMaker AI announces the ability to configure the sequence length used during your serverless model customization job. Amazon SageMaker AI serverless model customization supports fine-tuning for many open-weight models, including models from popular families including gpt-oss, Gemma, Llama, Nemotron, and Qwen. Previously, each fine-tuning recipe ran at a fixed sequence length that customers could not modify. Customers sometimes need to modify these parameters to achieve better results for their use case. Customers also asked for longer sequence lengths than the static defaults we supported on some models.Now, you can set sequence length parameters as part of the customization job's hyperparameters, anywhere up to the published maximum for your chosen model and technique. You can set the dataset_max_len hyperparameter for SFT and DPO jobs or set max_prompt_length and max_response_length hyperparameters for RFT jobs. This gives you more control to match your training data characteristics, whether you are working with short question-answer pairs or multi-page documents. Published maximums are up to 16K tokens for many models depending on model and technique.Serverless model customization on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). To get started, navigate to the Models page in Amazon SageMaker Studio to launch a customization job, use the SageMaker Python SDK or use our Agent skills with your choice of coding assistant. To learn more, and see the list of models and supported sequence lengths per technique, see the SageMaker AI documentation.
https://aws.amazon.com/about-aws/whats-new/2026/10/sagemaker-custom-sequence-lengths/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

AWS Network Firewall now supports Route 53 Resolved IP Validation

AWS Network Firewall now supports IP validation, extending domain-based filtering beyond HTTP/HTTPS to protocols such as SFTP and SSH. This new capability validates that a connection's destination IP address was resolved through your VPC's Amazon Route 53 VPC Resolver, closing security gaps where clients could bypass domain rules. This feature enables Network Firewall customers to implement domain filtering rules for any protocol, not just HTTP/HTTPS, providing more flexible security policies than IP-based rules alone. It simplifies protection against Server Name Identifier (SNI) spoofing by validating the IPs resolved by the Route 53 VPC Resolver against the SNI, ensuring traffic only reaches legitimately resolved destinations. Organizations can now enforce consistent domain-based security policies across all outbound traffic types, from web applications to file transfer protocols, without complex workarounds. Additionally, Route 53 Resolver DNS Firewall can be used with your VPC Resolver for extended DNS security. Resolved IP validation is available in all AWS commercial regions where AWS Network Firewall and Route 53 Resolver DNS Firewall are available, at no additional charge. For a full list of supported regions, visit the AWS Capabilities by Region page. To learn more, visit AWS Network Firewall product page and service documentation.
https://aws.amazon.com/about-aws/whats-new/2026/10/network-firewall-route-53-ip-validation/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

AWS Transform now builds new networks and modernizes security groups

AWS Transform for migrations now gives you three ways to bring your network to AWS. In addition to migrating and modernizing your existing network, you can build a new network from scratch or convert your on-premises access rules into optimized security groups and deploy them into existing VPCs. Whichever path you choose, you arrive on AWS with a secure and scalable network foundation. On-premises networks accumulate years of definitions and access rules that you may not want to carry to AWS as-is. For a clean start, AWS Transform builds a new network aligned to AWS best practices. To bring your access rules with you, AWS Transform converts them into security groups and modernizes them as it goes, detecting stale rules and recommending optimizations, then deploys the groups into your existing VPCs without redeploying your network stack. These capabilities allow you migrate to any AWS commercial or GovCloud Region. To get started, see Migrate networks. To learn more, visit AWS Transform for migrations.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-transform-new-networks/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 21

Announcing Amazon ECS Gateway, a managed ingress solution for your ECS services

AWS announces Amazon Elastic Container Service (Amazon ECS) Gateway, a new resource that simplifies ingress networking for containerized applications by dynamically provisioning and managing Application Load Balancers (ALBs) and their supporting resources directly in your account. With ECS Gateway, platform teams define organizational networking standards once on a gateway and associate it with one or more clusters, giving organizations a centralized way to govern how traffic reaches their ECS services. Application teams simply opt in to inherit those standards without requiring networking expertise. ECS Gateway offers host-based routing, allows up to 25 services to share an ALB to optimize infrastructure costs, and gives each service a unique Domain Name System (DNS) hostname. ECS manages the full lifecycle of the underlying infrastructure, provisioning the first ALB when your first service connects, adding more ALBs when capacity is reached, and removing them when no longer needed. You can inspect these resources and the gateway route to each service to see exactly how requests reach your applications. For traffic and health monitoring, you can use standard ALB metrics in Amazon CloudWatch and target health information from Elastic Load Balancing. To get started, create an ECS Gateway, associate it with a cluster, and opt in your ECS service by adding the gateway connector parameter using the AWS Management Console, AWS CLI, API, AWS SDKs, or AWS CloudFormation. ECS Gateway is available for ECS services using the awsvpc network mode across all launch types. It is available now in all commercial AWS Regions at no additional charge. You pay only for the underlying infrastructure provisioned in your account when your services connect to the gateway. To learn more, refer to the AWS News blog and our documentation page.
https://aws.amazon.com/about-aws/whats-new/2026/10/announcing-amazon-ecs-gateway/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon DynamoDB global tables now support disassociating replicas

Amazon DynamoDB global tables now support disassociating a replica without deleting its table or data. Global tables provide fully managed, multi-Region, multi-active replication. You can now stop replication to and from a replica and continue using the same table as a single-Region table. An account can leave a shared multi-account global table and continue using its table independently. You can also stop replication to a Region while keeping its table for local workloads, validation, or audit, without creating a replacement table or copying data. DynamoDB supports disassociating replicas in all AWS Regions for same-account and multi-account global tables that use multi-Region eventual consistency (MREC). To get started, use the AWS Management Console, AWS CLI, DynamoDB API, or AWS CloudFormation. For more information, see Disassociating replicas in the Amazon DynamoDB Developer Guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/dynamodb-global-tables-disassociate/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon WorkSpaces simplifies secure AI agent access to enterprise cloud desktops with less infrastructure to operate and manage

AWS WorkSpaces now simplifies AI agent connections to cloud desktops through the Model Context Protocol (MCP). This managed service handles authentication and desktop connections, eliminating the need for custom code. Agents can now connect using OAuth 2.0 with existing AWS credentials, as the service manages the entire session lifecycle. Previously, agents required manual management of streaming URLs and presession requirements, which is now automated. You configure the desktop stack once, and agents automatically connect without handling streaming details. The service allows querying session state for visibility into agent connections and activity. Agents can now discover and launch applications programmatically via an MCP Tool catalog. This replaces manual navigation, improving accuracy and reducing token costs for agents working with multiple applications. WorkSpaces for AI agents operates within existing enterprise network isolation and compliance boundaries. The service has also expanded its availability to four new AWS Regions.
https://aws.amazon.com/about-aws/whats-new/2026/10/workspaces-ai-agents-oauth-connection-management aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Polly Generative engine upgraded with more natural speech, 14 new voices, and 2 new languages

Amazon Polly has launched a significant upgrade to its Generative engine, enhancing speech naturalness and accuracy with reduced latency. This update introduces an expanded voice portfolio featuring higher overall quality. Fourteen new voices have been added across nine locales, including the first-time availability of Hindi and Finnish voices on the Generative engine. The new voices cater to various languages and locales, such as US English, Australian English, Hindi, German, Spanish, Brazilian Portuguese, Korean, and Finnish. This model upgrade ensures more reliable pronunciation of complex content like numbers and addresses, minimizing the need for manual adjustments. Users can continue to utilize Speech Synthesis Markup Language (SSML) tags for customized speech output. The low-latency streaming API is beneficial for real-time applications like contact center experiences and chatbots. The diverse voice options are also ideal for media, e-learning, and accessibility needs. Furthermore, the Generative offering now extends to AWS GovCloud, serving public sector and regulated industries. These new voices are accessible in multiple AWS Regions globally.
https://aws.amazon.com/about-aws/whats-new/2026/10/polly-generative/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

AWS announces TorchNeuron: Native PyTorch Support for AWS Trainium (Public Beta)

Today, AWS launched the public beta of TorchNeuron, an open source native PyTorch backend for AWS Trainium. Trainium is a portfolio of AI chips designed to deliver high performance and cost efficiency for deep learning AI training and inference workloads. TorchNeuron enables AI scientists and researchers to experiment and build models with PyTorch natively on Trainium.With TorchNeuron, developers can enable their PyTorch code on Trainium simply by switching to .to('neuron') while maintaining full PyTorch compatibility with eager execution, torch.compile, and standard PyTorch APIs. Additionally, TorchNeuron integrates with Neuron Kernel Interface (NKI) to enable custom operators and performance optimization for Trainium hardware.TorchNeuron is available as open source through the TorchNeuron github repo for Amazon EC2 Trainium2 instances and Amazon EC2 Trainium3 instances.To learn more about TorchNeuron and AWS Trainium accelerators, visit the AWS Neuron page.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-announce-native-pytorch-support-trainium aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Structured outputs for Claude models available on Amazon Bedrock

Amazon Bedrock now supports structured outputs for all Anthropic Claude models across both the bedrock-runtime and the bedrock-mantle endpoint. Whether you call Claude through boto3 and the bedrock-runtime APIs or through the Messages API and the bedrock-mantle endpoint, you can now receive schema-compliant JSON responses that conform to a defined structure, without custom parsing, retry logic, or post-processing. With structured outputs for Claude on Amazon Bedrock, you can automate reliable, schema-compliant tasks across industries. Examples include extracting every required field from financial earnings reports and compliance documents, parsing clinical notes into Electronic Health Records (EHR), and enriching product catalogs with consistent, validated results. You can also analyze contracts for key terms, parties, and obligations, or power intelligent support ticket routing where intents, sentiments, and entities always match your application's data model. To learn more, see the Amazon Bedrock documentation . Structured outputs is available where claude models are available. For more information check the regional availability details page.
https://aws.amazon.com/about-aws/whats-new/2026/10/claude-structured-outputs-bedrock/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

AWS Clean Rooms now supports Databricks as a data source

AWS Clean Rooms now supports Databricks as a data source, so collaboration members and their partners can securely analyze data managed in Databricks without moving or revealing the source data. Members query a Databricks table shared through Delta Sharing directly in a collaboration. Databricks joins AWS Glue, Snowflake, and Amazon Athena as supported data sources in AWS Clean Rooms. Previously, members with data in Databricks had to export or replicate it into Amazon S3 to use it as a table in a collaboration, which added pipeline work and an extra copy of the data to govern. Now members can register a Databricks table directly by providing the workspace URL, schema, and table along with a Delta Sharing share, and make it available to a collaboration. For example, a retailer that manages its customer data in Databricks can collaborate with a media partner on campaign measurement in AWS Clean Rooms, running approved analyses against its Databricks data without first building and maintaining an export to S3. AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-clean-rooms-supports-databricks aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

AWS Partner Central launches Program Navigator, Case Study Generator, and streamlined specialization review

AWS Partner Central now features Program Navigator, a unified experience that lets partners discover, apply for, and track AWS Specialization program applications in one place. Partners can browse specialization designations, view requirements and benefits, and submit applications through a guided, step-by-step workflow.The new Case Study Generator in AWS Partner Central gives partners a redesigned creation experience with three starting paths: build a case study directly with AI assistance, import from an existing customer success story URL, or auto-populate from an opportunity. Case studies created for go-to-market purposes now follow a streamlined review path, a lightweight policy validation that lets partners publish directly to AWS domains without a specialization review. The deeper specialization-level review applies only to case studies associated with Program Navigator applications.Additionally, AWS has streamlined the specialization application review process through Program Navigator. Partners submitting applications can expect faster review times and more detailed, requirement-level feedback throughout the process. Partners applying for non-specialization programs continue to access those programs through the existing experience.Program Navigator and Case Study Generator are available to all AWS Partners in AWS Partner Central. To get started, navigate to Program Navigator and Case Studies under the Go to Market section in the left navigation panel.
https://aws.amazon.com/about-aws/whats-new/2026/10/partner-central-program-navigator/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon CloudWatch Alarms now supports tags in alarm actions payload

Today, Amazon CloudWatch announces support for including alarm tags in action payloads and Amazon EventBridge events, enabling customers to route and filter alarm notifications by tag without additional lookups. When enabled on an alarm, CloudWatch adds the alarm tags to the messages it sends to Amazon SNS, AWS Lambda, and Amazon EventBridge each time the alarm changes state. This option is designed for customers who route many alarms through a shared notification pipeline and need to identify the owning team, environment, or service directly from the message. With tags in actions payloads, customers can avoid the extra work of correlating tag metadata with alarm events after the fact. For example, a team that routes hundreds of alarms through a single SNS topic to a Lambda function previously had to call ListTagsForResource for each event to find the owning team before paging. With this feature, the tags arrive in the notification, so the function can route directly from the message. The setting is off by default and configurable per alarm, and customers can include all tags, only selected tag keys, or all tags except selected keys. It is supported for metric, composite, and log alarms. Tags in actions and events for CloudWatch Alarms are available in all AWS Regions where Amazon CloudWatch is available except Middle East (UAE), and Middle East (Bahrain). To get started, see  Alarm tags in action payloads  in the Amazon CloudWatch User Guide. To learn more about Amazon CloudWatch Alarms, visit the  Amazon CloudWatch  product page.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-cloudwatch-tags-on-alarm-actions-payload aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon Bedrock Advanced Prompt Optimization now supports prompt shortening

Amazon Bedrock Advanced Prompt Optimization now supports prompt shortening, an optional setting that reduces the length of your prompt while maintaining or improving your evaluation scores. Advanced Prompt Optimization optimizes prompts for any model on Amazon Bedrock against your own evaluation criteria. Until now, optimization focused on quality alone. Optimized prompts were often longer than the original. Longer prompts raise input token costs and can increase time to first token, which matters at scale and in latency-sensitive applications. When you turn on prompt shortening for a prompt template in your input dataset, the optimizer reduces the prompt's length. The optimized prompt is returned only when it is shorter than your original prompt and scores at least as high on your evaluation. Otherwise your original prompt is returned, so the setting never leaves you with a longer or lower-scoring prompt. Results include a compression ratio and the original and optimized token counts, in the output file and on the console results page. For example, a compression ratio of 0.7 means the optimized prompt uses 30% fewer tokens. Prompt shortening works with any evaluation method, including steering criteria, LLM-as-a-judge rubrics, and custom Lambda evaluators.     Prompt shortening is available in all AWS Regions where Advanced Prompt Optimization is available. To get started, enable prompt shortening for a prompt template in your input dataset and create an optimization job as usual. To learn more, see Shorten prompts in the Amazon Bedrock User Guide, the Amazon Bedrock pricing page, and the Amazon Bedrock product page.
https://aws.amazon.com/about-aws/whats-new/2026/10/bedrock-prompt-optimization-shortening/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon Bedrock Guardrails now supports Standard tier for contextual grounding checks

Amazon Bedrock Guardrails now offers a Standard tier for contextual grounding checks, which detect and filter hallucinations by checking whether a model response is grounded in your reference source and relevant to the user's query. The Standard tier is more robust than the Classic tier. It supports responses that include reasoning or conversational content, scores differently worded responses with the same meaning more consistently, and provides more comprehensive language support, matching the Standard tier for content filters and denied topics. Amazon Bedrock Guardrails provides configurable safeguards for generative AI applications on any foundation model through the ApplyGuardrail API.Until now, contextual grounding checks applied strict grounding suited to summarization, paraphrasing, and question answering. With the Standard tier, you can also apply contextual grounding checks to conversational applications and to responses that reason over the source. You choose the tier for each guardrail in the Amazon Bedrock console or API. Existing guardrails keep the Classic tier until you change them. Pricing is the same for both tiers. To use the Standard tier, your guardrail must use cross-Region inference with a guardrail profile.The Standard tier for contextual grounding checks is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (Milan), Europe (Paris), Europe (Spain), Europe (Stockholm), and Asia Pacific (Tokyo). To learn more, see the Amazon Bedrock Guardrails documentation on contextual grounding checks and safeguard tiers, or visit the Amazon Bedrock Guardrails product page.
https://aws.amazon.com/about-aws/whats-new/2026/10/bedrock-guardrails-grounding-standard/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

AWS Transform for migrations expands support for existing landing zones

AWS Transform now supports more types of existing AWS environments when building landing zones for your migration, including AWS Control Tower landing zones and landing zones built with AWS Organizations. AWS Transform runs a foundation gap analysis of your current environment against AWS best practices and expands your landing zone on top of what's already in your target accounts, so your team can start migrating sooner.AWS Transform also now supports an Infrastructure as Code (IaC)-only mode for building landing zones for your migration. In this mode, AWS Transform analyzes your organization, generates recommendations, and produces IaC tailored to your migration plan in AWS CDK, Terraform, or Landing Zone Accelerator (LZA) format. IaC-only mode is designed for organizations that prefer not to grant AWS Transform direct access to their management account. AWS Transform can now connect through a delegated administrator (DA) account instead. It also benefits customers who manage their own deployment pipeline and don't need the agent to deploy automatically.The AWS Transform for migrations landing zone agent automates landing zone design end to end, including foundation setup, organizational unit (OU) and account structure, service control policies (SCPs), and workload accounts aligned to your migration planning and waves. You can deploy directly or generate IaC for your own pipeline.These new capabilities are available in all target AWS Regions supported by AWS Transform for migrations.To learn more, please visit the AWS Transform User Guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/aws-transform-migrations-landing-zones/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

AWS IAM Identity Center simplifies identity source changes from Active Directory

AWS IAM Identity Center now retains your workforce identities and their assignments when you change your identity source from Active Directory to an external identity provider (IdP), such as Okta or Microsoft Entra ID, or to the Identity Center directory. Specifically, it preserves your users, groups, group memberships, permission set assignments, and application assignments. Previously, this change required you to recreate them in IAM Identity Center.IAM Identity Center helps you connect your workforce identities to AWS once and manage their access centrally across AWS applications and accounts. When you change your identity source from Active Directory, your existing identity store remains in place, so your users and groups keep the same IDs. As a result, users retain their access to AWS accounts and applications, and policies that reference your user IDs, group IDs, or identity store ID continue to work.To make this change, configure your new identity source with the standard setup required for users to sign in. After the change, your workforce signs in through your dual-stack AWS access portal URL. Changing your identity source in the other direction, to Active Directory, works as before. This feature is available for organization instances of IAM Identity Center in all AWS Regions where IAM Identity Center is available. IAM Identity Center is provided at no additional cost.To get started, navigate to the IAM Identity Center console. For more information, see Change your identity source in the IAM Identity Center User Guide. To learn more about IAM Identity Center, visit the product detail page.
https://aws.amazon.com/about-aws/whats-new/2026/10/iam-identity-center-chg-id-src-from-ad/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon ElastiCache Serverless for Valkey now supports online migration with zero downtime

Amazon ElastiCache Serverless for Valkey now offers zero-downtime online migration from self-managed Valkey and Redis OSS on EC2. This feature allows applications to continue reading and writing data throughout the migration process without errors. The migration occurs in three phases: preparation, data synchronization, and cutover. During preparation, users receive a migration endpoint for their application. Data synchronization replicates continuously from the source to the serverless cache. Cutover can be manual or automatic once data is synchronized. The migration process utilizes TLS encryption and authentication, storing credentials in AWS Secrets Manager for security. It supports self-managed Redis OSS from version 4.0 to 7.2 and Valkey from 7.2 to 8.1, migrating to Valkey 9.0. Migration usage is free for the initial 180 days per AWS account. Following the free period, node-hour charges apply for migration nodes. The ElastiCache Serverless cache is billed separately at standard rates. This online migration capability is available across all commercial, China, and AWS GovCloud Regions. To begin, create or select an empty ElastiCache Serverless cache and initiate the migration via the console or CLI.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-elasticache-serverless-valkey-online-migration/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 20

Amazon Connect Customer Global Resiliency now provides business users visibility into resiliency readiness across linked Regions

Amazon Connect Customer Global Resiliency now provides a Global Resiliency page in the admin website, giving administrators a single place to review their Region switch readiness. The page shows an overall readiness status and lists the resources that Global Resiliency natively replicates, including which resource types are in sync, which are still pending synchronization, and which need action. For example, if a phone number or user is not associated with a traffic distribution group, the page flags it and lets the administrator associate the affected resources directly from the page. With this readiness overview, administrators can review their resiliency posture at any time and verify that their instance is ready for a Region switch.This feature is available in all AWS Regions where Amazon Connect Customer Global Resiliency is supported. To learn more, see Amazon Connect Customer admin guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-connect-global-resiliency-readiness-overview aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

Amazon CloudWatch Omni is now available in additional AWS Regions

AWS announces that Amazon CloudWatch Omni is now available in eight additional AWS Regions. CloudWatch Omni is an AI-powered observability experience, organized around your teams and the applications they run, that helps you observe and troubleshoot your applications and agents in one place. It combines the interoperability of OpenTelemetry with the scale and reliability of CloudWatch, and meets you where you work — a standalone web experience with single sign-on (SSO), or a local IDE extension.With CloudWatch Omni, You create spaces in your central accounts to see telemetry across your AWS accounts, Regions, and other clouds, including Azure and GCP. Omni discovers services, maps dependencies, and surfaces golden metrics automatically and you can interact with telemetry through chat, point-and-click, or your own tool via Agent Toolkit for AWS to find signals, build dynamic views, and reach root cause powered by AWS DevOps Agent. A dedicated agent observability experience adds an evaluation-driven workflow for frameworks including LangGraph, CrewAI, OpenAI Agents SDK, Vercel AI SDK, and Strands.With this expansion, CloudWatch Omni is now available in Canada (Central), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (London), and South America (São Paulo), in addition to US East (N. Virginia), US West (Oregon), and Europe (Ireland).To get started, create your Omni space from the CloudWatch console, configure SSO, and sign in. Agent developers can install the free CloudWatch Omni extension for VS Code, Cursor, and Kiro. To learn more, see the Amazon CloudWatch Omni product page and documentation. For pricing, see the CloudWatch Omni pricing page.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-cloudwatch-omni-8-regions/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

EC2 Image Builder now integrates with ASG for faster image builds

EC2 Image Builder now supports using existing instances from an Auto Scaling Group (ASG) for building images, enabling faster builds by eliminating the time spent in launching and bootstrapping new instances and reusing already running EC2 instances.With this feature, you can provide an ASG in your Image Builder infrastructure configuration. Instead of launching a new instance at the build time, Image Builder selects an already-running instance from this ASG, applies your build components, and creates the image. The ASG continuously replenishes the pool as instances are used for builds, ensuring instances are always available for subsequent pipeline runs.This feature is fully opt-in and does not affect existing pipelines. Pipelines without an ASG configured continue to use the default launch path with no behavior change.This feature is available in all AWS Regions at no additional cost. To configure ASG integration in your Image Builder pipelines, see the EC2 Image Builder documentation.
https://aws.amazon.com/about-aws/whats-new/2026/10/ec2-image-builder-asg-faster-builds/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

Amazon GuardDuty adds optional threat detection rules for Runtime Monitoring

Amazon GuardDuty now supports optional detection rules for Runtime Monitoring. You can enable more than 50 Runtime Monitoring rules that help detect process, file, and network activity that might be routine in one environment but a sign of compromise in another, such as modifying sudoers files or disabling audit logging.The new rules provide detections for Amazon EC2 instances, Amazon EKS, and Amazon ECS on both EC2 and AWS Fargate, and span 13 finding types mapped to MITRE ATT&CK® tactics including persistence, privilege escalation, execution, defense evasion, discovery, exfiltration, and command and control. This release introduces four new finding types: CommandAndControl:Runtime/SuspiciousCommand, CredentialAccess:Runtime/SensitiveFileRead, Discovery:Runtime/SensitiveFileRead, and Exfiltration:Runtime/SuspiciousCommand.To get started, visit the GuardDuty console. You can enable rules in dry-run mode to evaluate detection efficacy before enabling live detection.Custom Detection Rules for Runtime Monitoring is available in all AWS commercial Regions and the AWS GovCloud (US) Regions. To learn more, see Amazon GuardDuty Custom Detection Rules. To receive programmatic updates on new Amazon GuardDuty features and threat detections, subscribe to the Amazon GuardDuty SNS topic.
https://aws.amazon.com/about-aws/whats-new/2026/10/guardduty-runtime-optional-detection-rules/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

Grok 4.7 is now available on Amazon Bedrock in AWS GovCloud (US)

Amazon Bedrock now supports SpaceXAI Grok 4.7, a frontier model built for coding, agentic tasks, and knowledge work in AWS GovCloud (US).Grok 4.7 builds on Grok 4.6 with better mixed-document handling, more dependable repo-scale coding with planning and error recovery, and enhanced browser-use agents for form fills and portal navigation.  Get started with Grok 4.7 in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the launch blog post.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-bedrock-grok-4-7-govcloud/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

AWS Elemental MediaConnect Router now supports high bitrate mode

AWS Elemental MediaConnect Router now supports high bitrate modes with two new tiers: 250 Mbps and 500 Mbps. This allows professional broadcasters that need higher bitrates to transport high-value content without compromising quality or reliability.This enhancement enables industry-standard workflows such as VSF TR-07 compliant transport stream distribution for broadcast contribution, content distribution, and remote production. High bitrate mode supports up to two redundant sources for reliability and includes data plane optimizations that reduce jitter for improved performance.To learn more, visit the AWS Elemental MediaConnect product page and the MediaConnect pricing page.
https://aws.amazon.com/about-aws/whats-new/2026/10/mediaconnect-router-high-bitrate/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

AWS IAM Identity Center now supports optimistic locking for users and groups in its identity store

IAM Identity Center helps you configure the single sign-on experience of your workforce to AWS accounts and applications. You can now use optimistic locking for users and groups in the identity store, so that update and delete requests succeed only if the user or group hasn't changed since you last read it. This helps when multiple administrators or automated workflows modify the same user or group at nearly the same time, where previously one write could silently overwrite another.Each user and group now has a Revision value that changes every time the user's or group's attributes are modified, including through SCIM provisioning, Active Directory sync, or the IAM Identity Center console. Create, describe, update, and list operations return the current Revision, and you can pass it on a later UpdateUser, UpdateGroup, DeleteUser, or DeleteGroup request. The request succeeds only if the supplied Revision matches the current Revision. Otherwise, it returns a ConflictException, so your workflow can re-read the user or group and retry with the latest values.Providing a Revision is optional. Requests that omit it behave as before, so existing integrations continue to work without changes. Conditional requests are supported through the Identity Store API, not the SCIM endpoint. Group membership operations don't accept a Revision, and adding or removing members doesn't change the Revision of the user or the group. This capability is available in all AWS Regions where IAM Identity Center is available. IAM Identity Center is provided at no additional cost.To learn more about IAM Identity Center, visit the product detail page. To get started, see UpdateUser in the Identity Store API Reference.
https://aws.amazon.com/about-aws/whats-new/2026/10/iam-identity-store-optimistic-locking/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

Amazon RDS Custom now supports the latest Cumulative Update and GDR updates for Microsoft SQL Server

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports the latest Cumulative Updates (CU) and General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for SQL Server 2019 CU32+GDR KB5122772(RDS version 15.00.4490.9.v1) and SQL Server 2022 CU26 + GDR KB5122768 (RDS version 16.00.4275.2.v1).For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5122772 and KB5122768. You can upgrade your Amazon RDS Custom for SQL Server instances to apply these recommended updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. To learn more about upgrading your database instances, see Amazon RDS Custom User Guide.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-rds-custom-supports-latest-cumulative-update-gdr-microsoft-sql-server/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

Amazon RDS for SQL Server now supports snapshots on read replicas

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports creating DB snapshots directly on read replica instances. Previously, you could create snapshots only on standalone and primary DB instances. You can now snapshot a read replica without promoting it first, giving you more flexibility in your backup and disaster recovery (DR) workflows.Previously, enabling Multi-AZ on a promoted read replica meant waiting for an initial full snapshot to finish before the conversion could begin. On larger storage configurations—such as io2 volumes up to 64 TiB—that first snapshot could take a long time, making DR timelines hard to predict. Now, Amazon RDS for SQL Server maintains snapshot data on the read replica throughout its lifecycle, so the first snapshot after promotion completes faster. This shortens the time to enable Multi-AZ and helps you plan DR exercises with more predictable recovery timelines. You can take manual snapshots of a read replica, turn on automated backups by setting a backup retention period greater than zero, and retain automated backups when you delete the replica; however, point-in-time recovery (PITR) from a read replica isn't supported.This feature works for both in-region and cross-region read replicas. It's available for SQL Server Enterprise Edition on all SQL Server versions that support read replicas, in all AWS Regions where Amazon RDS for SQL Server read replicas are available, including the AWS GovCloud (US) Regions.To learn more, see Working with read replicas for Microsoft SQL Server. For pricing details, see Amazon RDS for SQL Server Pricing.
https://aws.amazon.com/about-aws/whats-new/2026/10/rds-sqlserver-supports-snapshots-on-read-replicas aws.amazon.com
RSS Hunter RSS Hunter • Oct 19

AWS Partner Central adds Solution Matching Engine performance insights

AWS Partner Central now gives AWS Partners more visibility into how the Solution Matching Engine (SME) contributes to their co-sell pipeline. The Solution Matching Engine performance section in Partner Analytics helps partners understand how SME performs for their company and AWS Marketplace listings.Partners can view recommendations, SME-attributed opportunities, their share of AWS-originated opportunities, stall rate, and pipeline attributed to SME. They can filter by recommendation type or AWS Marketplace listing and explore top customer profiles by Region, industry, and segment. These insights help partners assess their visibility and decide where to improve their listings and opportunity information.All partners eligible for APN Customer Engagements (ACE) can find the section on the Opportunity pipeline analysis page under Partner Analytics in AWS Partner Central. To learn more about SME and how to strengthen your visibility with AWS sellers, read Solution Matching Engine: Your Gateway to AWS Sellers.
https://aws.amazon.com/about-aws/whats-new/2026/10/solution-matching-engine-performance aws.amazon.com
RSS Hunter RSS Hunter • Oct 17

Amazon CloudWatch log centralization now available in AWS GovCloud and additional commercial Regions

Amazon CloudWatch log centralization is now available in AWS GovCloud (US) and 13 additional commercial Regions. CloudWatch log centralization copies log data from multiple AWS accounts and Regions into a single destination account, integrating with AWS Organizations for efficient aggregation without the need for custom solutions.With this launch, organizations in the AWS GovCloud (US) partition and commercial partition can each centralize logs across their accounts and Regions for centralized monitoring. You can scope centralization rules to your entire organization, specific organizational units, or selected accounts and copy logs into a single account while preserving source context through enriched system fields.CloudWatch log centralization is now additionally available in Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), AWS GovCloud (US-East), and AWS GovCloud (US-West). For a complete list of supported Regions, see the AWS Region table.To get started, create a centralization rule in the Amazon CloudWatch console, or by using the AWS CLI or AWS SDKs. To learn more, see Log centralization in the Amazon CloudWatch Logs User Guide. Customers can centralize one copy of logs for free; additional copies are charged at $0.05/GB. For details, see Amazon CloudWatch pricing.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-cloudwatch-centralization-region-expansion aws.amazon.com
RSS Hunter RSS Hunter • Oct 16

Amazon EMR Serverless now supports IPv6 and dual-stack connectivity

Amazon EMR Serverless now supports IPv6 and dual-stack connectivity, expanding beyond the IPv4-only connectivity that was previously available. You can now run your Apache Spark and Apache Hive jobs over IPv6 in your Amazon Virtual Private Cloud (VPC) by supplying dual-stack (IPv4 and IPv6) or IPv6-only subnets. This gives you greater flexibility in how your applications connect to data stores and services, while maintaining full backward compatibility with your existing IPv4 workloads.As Spark and Hive workloads scale to many workers, the IPv4 address space in your VPCs and subnets can become a constraint, and a growing number of organizations face compliance mandates that require IPv6 adoption. With dual-stack connectivity, your EMR Serverless applications accept both IPv4 and IPv6, making it easy to adopt IPv6 gradually while maintaining backward compatibility with your existing IPv4 workloads. With IPv6-only subnets, you can eliminate the need for IPv4 addresses entirely, overcoming IPv4 address exhaustion and meeting the networking standards and compliance requirements that call for IPv6, while your jobs reach IPv6 endpoints and services both inside and outside your VPC.IPv6 and dual-stack connectivity for Amazon EMR Serverless is available at no additional cost in all AWS Regions where Amazon EMR Serverless is available. IPv6 and dual-stack subnets are supported on all EMR Serverless release versions. To get started, see Configure IPv6 subnets for EMR Serverless applications and Configuring VPC access for EMR Serverless applications.
https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-emr-serverless/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 16

AWS Lambda durable functions are now available in AWS GovCloud (US) Regions

AWS Lambda durable functions are now available in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience.Lambda durable functions extend the Lambda programming model with new primitives in your event handler, such as "step" and "wait", allowing you to checkpoint progress, automatically recover from failures, and pause executions without incurring compute charges for on-demand functions. With availability in the AWS GovCloud (US) Regions, government customers and regulated industries can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks while meeting stringent compliance and security requirements.You can activate durable functions for new Python (versions 3.13 and 3.14), Node.js (versions 22 and 24), Go (versions 1.24 or later), .Net (version 2.2), or Java (17+) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS CloudFormation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK).For more information on durable functions, visit the AWS Lambda durable functions product page or the AWS Lambda Developer Guide. To learn about pricing, visit AWS Lambda pricing. For region availability, visit the AWS Capabilities by Region page.
https://aws.amazon.com/about-aws/whats-new/2026/10/durablefunctions-govcloud/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 16

Nemotron 3.5 Super VL model now available on Amazon SageMaker JumpStart

NVIDIA's Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This vision-language model from the Nemotron 3.5 family accepts images, video, and text as input and generates text, enabling customers to deploy multimodal AI solutions on AWS infrastructure.Nemotron 3.5 Super VL is designed for document intelligence, GUI understanding, video question answering, and multimodal agentic applications. It pairs a 120B-parameter hybrid Mixture-of-Experts (MoE) language backbone with 12B active parameters and a vision encoder, supporting context lengths of up to 1 million tokens. The model includes a built-in Multi-Token Prediction (MTP) head for speculative decoding to accelerate text generation, with reasoning configurable per request. It supports ten languages including English, French, Spanish, German, Japanese, Hindi, Korean, and Chinese. Post-trained with multimodal supervised fine-tuning on image, video, document, chart, and GUI data followed by GRPO reinforcement learning, it delivers structured JSON output, tool calling, and configurable reasoning for enterprise agent workflows. SageMaker JumpStart offers two variants: NVFP4 for optimized inference on G7 instances with NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, and BF16 reference weights on ml.p5en.48xlarge for customization including SFT, RL, distillation, and domain adaptation.With SageMaker JumpStart, customers can deploy Nemotron 3.5 Super VL with just a few clicks to address their specific AI use cases.To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
https://aws.amazon.com/about-aws/whats-new/2026/01/nvidia-nemotron-3.5-super-vl-on-sagemaker-jumpstart/ aws.amazon.com
RSS Hunter RSS Hunter • Oct 16