6/16/2026, 12:00:00 AM ~ 6/17/2026, 12:00:00 AM (UTC)

Recent Announcements

AWS Transform now supports model-to-model migration assessment for generative AI workloads

AWS Transform now offers a model-to-model migration custom transformation that assesses your generative AI workloads and produces a comprehensive migration plan for moving from third-party providers to Amazon Bedrock. The AI-powered agent scans your codebase, identifies every AI SDK and model in use, gathers your migration requirements through interactive questions, and maps models to Bedrock equivalents with transparent cost comparisons and production-ready code changes. This managed custom transformation helps organizations consolidate their AI workloads on AWS to gain IAM-based security, VPC endpoint isolation, prompt caching, Amazon Bedrock Guardrails, and unified operational tooling through Amazon CloudWatch.  \n The transformation supports migrations from OpenAI, Google Gemini, direct Anthropic SDK usage, and open-source models via LiteLLM or Ollama. It handles direct SDK integrations, framework-wrapped patterns such as LangChain and LlamaIndex, agentic architectures including CrewAI and LangGraph, and multi-provider routing layers — preserving your application architecture while swapping only the model layer. The agent includes intelligent cost optimization with tiered model routing recommendations, prompt caching analysis, and model lifecycle awareness that excludes models within 90 days of end-of-life from all recommendations. For some workloads, it recommends Amazon Bedrock’s OpenAI-compatible endpoints as a zero-code-change migration path.

AWS Transform model-to-model migration is available in all AWS Regions where AWS Transform is offered, at no additional charge beyond standard AWS Transform pricing. To get started, install the ATX CLI and run the mke-genai-model-migration custom transformation against your codebase. To learn more, see the AWS Transform Custom Transformations documentation and the announcement blog.

AWS Transform for mainframe now delivers a traceable reimagine workflow

AWS Transform for mainframe now delivers a connected, traceable reimagine experience from assessment through code generation. Previously, modernizing mainframe applications required months of analysis across multiple tools for discovery, reverse engineering, and code generation with manual handoffs between phases. With this launch, enterprises running z/OS COBOL and PL/I workloads can assess their portfolio to identify the discrete business functions, extract business rules, generate development-ready requirements, and produce traceable cloud-native code in a single connected workflow.\n The experience starts with a portfolio assessment, where AWS Transform systematically identifies and catalogs discrete business functions. Selected business functions flow directly into the reimagine workflow, creating a connected path from portfolio analysis through code generation. For each business function, AWS Transform generates development-ready requirements with full traceability, flowing directly into Kiro and other IDEs through MCP-based integrations. Teams can generate interactive documentation for any requirement or code directly in the IDE. Every requirement traces back to the source code, so teams can audit any transformation decision back to its origin. This end-to-end approach compresses what previously took years of manual effort into months of automated, evidence-based modernization.

These capabilities are available in all AWS Regions where AWS Transform for mainframe is available. For more information, see the AWS Region table.

To learn more, visit AWS Transform for mainframe or see the AWS Transform for mainframe documentation.

AWS Sign-in now supports resource-based policies and resource control policies

AWS Sign-in now supports resource-based policies and resource control policies (RCPs) for the AWS Management Console. You can use these policies to restrict console sign-in to expected networks. Policies are evaluated during sign-in and whenever the console session requests new credentials.\n Resource-based policies apply to individual AWS accounts. Resource control policies apply organization-wide through AWS Organizations. You can combine these policies with AWS Management Console Private Access to control both which networks users can sign in from and which accounts they can access.

AWS Sign-in resource-based policies and RCPs are available at no additional cost in all AWS commercial Regions. To learn more, see the AWS Sign-in User Guide. For API details, see the AWS Sign-in API Reference.

Amazon Redshift RG instances powered by AWS Graviton now available in additional regions

Amazon Redshift is expanding the general availability of RG instances — powered by AWS Graviton processors — to three additional AWS Regions: Africa (Cape Town), Asia Pacific (Bangkok), and Mexico (Central). Amazon Redshift’s new Graviton-based RG instances deliver up to 4.2X better price-performance for data warehouse workloads compared to other data warehouses, run workloads up to 2.4x faster than previous-generation RA3 instances, and cost 30% less per vCPU.\n Customers in Cape Town (af-south-1), Bangkok (ap-southeast-7), and Mexico Central (mx-central-1) can provision rg.xlarge and rg.4xlarge node types — ideal for a wide range of workloads from smaller development environments to production data warehouse deployments. Customers can upgrade their existing RA3 provisioned instances to RG instances and immediately benefit from improved query performance and reduced compute costs. RG instances come with additional cost savings built in by default. With Amazon Redshift incremental manual snapshots, customers now pay less for backup storage as snapshot costs are metered based on unique data blocks rather than total snapshot size. Additionally, RG instances eliminate Redshift Spectrum scanning charges, meaning customers no longer pay for data scanned in Amazon S3 via Spectrum — further reducing the total cost of running data lake queries. To get started, visit the Amazon Redshift documentation and the RG instances pricing page.

AWS announces AWS Blocks, an open-source framework for composing application backends on AWS (Preview)

Today, AWS announces the public preview of AWS Blocks, an open-source TypeScript framework for application developers who want backend capabilities on AWS removing the need to learn infrastructure tools. AWS Blocks runs a fully functional local environment with Postgres, authentication, and real-time messaging, no AWS account required. When ready to deploy, the same application code runs on production AWS services with zero changes, and developers can drop into AWS CDK at any point for direct resource configuration.\n A developer building a SaaS application can add database tables, user authentication, AI agents, file uploads, and background jobs in a single session, test the full stack locally, and deploy to AWS when ready. Built-in guidance for AI coding tools enables correct architecture without custom configuration, and end-to-end type safety flows from the data schema to the frontend without a code generation step. At preview, supported frontend frameworks include SPAs (e.g. Vite + React) and SSR frameworks such as Next.js, Nuxt, and Astro. AWS Blocks is available at no additional charge. You pay only for the AWS services your application uses.

AWS Blocks deploys to all commercial AWS regions.

To get started, run npx @aws-blocks/create-blocks-app. Read more here:

AWS Blocks product page

Getting started guide in the AWS Blocks Developer Guide

AWS Blocks on GitHub

AWS Partner Central agents now accelerate co-selling on every deal

Starting today, AWS Partner Central agents qualify every co-sell opportunity in real time and make recommendations that drive AWS engagement and accelerate deal progression. Building on the AWS Partner Central agents released on March 16, 2026, the agent can act on the partner’s behalf through conversation to enrich the opportunity details. This eliminates waiting for manual review, so partners build a stronger pipeline and progress deals faster.\n Now, each opportunity is matched to a co-sell motion that determines AWS engagement: AWS field-engaged, where an AWS sales team collaborates directly; Agent-engaged, where the agent strengthens the submission to increase AWS engagement; and Partner-led, where the partner drives the deal with agent support. Across all motions, the agent provides customer insights, recommendations, and sales plays, and each opportunity receives an Opportunity Quality Score that measures co-sell readiness and directly influences how AWS engages. The agent recommends how to improve this score, and as the opportunity improves, the score and motion recalculate in real time, moving it closer to AWS engagement. The new enhanced experience is available today to AWS Partners in all commercial AWS Regions. To get started, log in to AWS Partner Central and access opportunity management. Partners can also use the agentic experience in native AI tools like Amazon Quick and Kiro, or through MCP in their own CRM. See the Partner Central agents MCP server guide to get started.

Amazon CloudWatch introduces native OpenTelemetry metrics with PromQL querying and per-GB pricing

Amazon CloudWatch now natively supports OpenTelemetry metrics. You can send metrics via the OpenTelemetry Protocol (OTLP) and query them using Prometheus Query Language (PromQL), with per-GB ingestion pricing and 15 months of storage included.\n This allows you to consolidate custom application metrics and AWS vended metrics from more than 70 services in a single solution, queryable together in PromQL. CloudWatch exposes a Prometheus-compatible query API, so teams already using OpenTelemetry, Prometheus, or Grafana can use CloudWatch as a destination that fits seamlessly with their existing tools.

Available in all commercial AWS Regions except Middle East (UAE), Middle East (Bahrain), and Israel (Tel Aviv). For pricing details, see the Amazon CloudWatch pricing page. To get started, see the Amazon CloudWatch metrics documentation.

AWS Marketplace announces AI-assisted product listing

Today, AWS Marketplace announces AI-assisted product listing in Partner Assistant chat, helping Independent Software Vendors (ISVs) and Consulting Partners create high-quality product listings on AWS Marketplace using their existing digital assets. This new capability helps partners create listings optimized for discovery by buyers, while eliminating the time-consuming manual data entry and guesswork around meeting AWS Marketplace requirements.\n Partner Assistant automatically generates and validates product listing content by importing information from your existing digital assets, including website URLs, PDFs, case studies, and product documentation. The AI-powered assistant creates content across all required product information fields, validates it against AWS Marketplace size and format requirements, and optimizes it for search. You’ll receive field-level recommendations based on AWS Marketplace best practices, with a quality score indicating where your listing stands relative to the standards that drive buyer engagement. Whether you’re creating your first listing or managing multiple products, Partner Assistant streamlines the process while helping ensure your listings are best positioned to be discoverable and considered by customers in AWS Marketplace.

AI-assisted product listing capability is available through the Partner Assistant chat in AWS Partner Central and the AWS Marketplace Management Portal (AMMP). For programmatic access, you can use the Partner Agent MCP server. This feature is not available in AWS GovCloud (US) Regions or China Regions.

To learn more about creating product listings with AI assistance, visit AI-assisted Product Listing.

AWS Partner Central launches new funding benefits for Business Value Realization

AWS Partner Central now supports the Business Value Realization (BVR) motion, a new experience and funding motion for partners who drive customer adoption and business outcomes after deploying strategic AWS services. BVR helps partners drive business outcomes for their customers by structuring the AWS service adoption journey across defined stages, with funding tied to proven demonstrated value realization.\n Partners can now enroll in BVR through a self-service registration flow in AWS Partner Central, nominate customer opportunities, and track customer progress towards value realization. The new experience enables partners to track customer progression across structured adoption stages, with guided activities to help customers achieve desired outcomes. As partners drive customer adoption, AI agents in AWS Partner Central generate weekly adoption reports that surface highlights, risks, and recommendations, helping partners identify where customer users drop off and how tooling adoption is accelerating. When partners complete stages, funding is automatically disbursed through the AWS Partner Funding Portal without requiring separate requests. BVR is available in AWS Partner Central for consulting, system integrator, and managed services partners with advance or premier tier status and a qualifying domain competency. Learn more in the APN blog or visit AWS Partner Central guide for Business Value Realization.

AWS Partner Central now validates Foundational Technical Review in minutes

AWS Partner Central now accepts SOC 2 Type II audit reports or AWS Well-Architected Framework Reviews (WAFR) reports to complete Foundational Technical Review (FTR) in minutes. This streamlined process with AI-powered validation provides AWS partners with immediate feedback on their solution’s validation against AWS Partner Network (APN) requirements. Partners now receive approval or actionable feedback within minutes to accelerate validation of their solutions and unlock the qualified software badge, APN program eligibility, and access to co-selling and funding benefits.\n The streamlined FTR aligns AWS partner validation with industry compliance standards that enterprise customers already recognize and often require. Partners with SOC 2 certifications can satisfy FTR requirements by submitting third party reports in AWS Partner Central, while partners without SOC 2 can submit WAFR reports generated in the AWS Well-Architected Tool as an alternate validation pathway. When issues are identified, partners receive specific AI-generated feedback with remediation steps for each failing control, enabling immediate iteration and re-submission.  FTR is available to all partners, and can be attained on software solutions deployed on AWS and AWS Partner Revenue Measurement enabled. To learn more about the streamlined Foundational Technical Review process and submission requirements, visit the AWS Partner Central Builder Guide.

Amazon RDS for SQL Server now supports X2m instances

Amazon Relational Database Service (Amazon RDS) for SQL Server launches memory-optimized X2m database instances. Based on the Amazon EC2 X2iedn instance, X2m database instances provide the Amazon RDS Optimize CPU feature, which allows customers to reduce SQL Server software licensing costs by 50% or more compared to Amazon RDS x2iedn database instances for memory-intensive database workloads. X2m instances offer up to 64 vCPUs, up to 4 TB memory, up to 256K IOPS, and up to 32:1 memory to vCPU ratio. \n To use the X2m instances, you can modify your existing RDS database instance or create a new RDS database instance from the RDS Management Console, or using the AWS SDK or CLI. X2m instances can be purchased using On-Demand pricing, and qualify for AWS Database Savings Plan. See Amazon RDS for SQL Server Pricing for up-to-date pricing of instances, storage, data transfer and regional availability.

AWS Marketplace reduces listing fee for professional services to 0.5%

AWS Marketplace now offers a 0.5% listing fee for professional services private offers, reduced from 2.5%. This makes it more cost-effective for consulting partners, systems integrators, managed services providers and independent software vendors to transact their services through AWS Marketplace, while retaining the procurement and billing benefits that come with it.\n Professional services is an established and growing category on AWS Marketplace, with hundreds of partners actively transacting. The reduced fee complements capabilities purpose-built for the discovery and purchase of services through AWS Marketplace. Customers can find the right Partner through AI-powered discovery in Agent Mode, procure complete solutions through multi-product solutions that combine software and services in a single transaction, and pay through variable billing models like time-and-materials — all through AWS Marketplace. For Partners, these improvements make it simpler and more economical to transact professional services through AWS Marketplace.

Partners with existing professional services listings benefit automatically, with the reduced fee applying to all new private offers going forward while existing offers and subscriptions continue at their original terms. The fee applies in all AWS Regions where AWS Marketplace operates, across all pricing models and currencies. To get started, Partners can review the seller documentation and list professional services through AWS Partner Central. Customers can explore professional services directly in AWS Marketplace.

AWS Partners can now accelerate co-sell deals with express private offers

AWS Partners co-selling with AWS can now use express private offers to automate pricing within co-sell workflows. Partners configure their pricing rules, discount boundaries, and eligible products once, and when AWS sales representatives identify their solution as a fit for a customer’s needs, the deal can move from opportunity to private offer in minutes rather than weeks of manual negotiation.\n As AWS sellers identify relevant Partner solutions through co-sell tools, they can see which Partners have express private offers enabled and directly invite customers to receive personalized pricing. Customers specify their purchase requirements, contract duration, and configuration needs, and receive a tailored private offer based on the Partner’s pre-configured pricing rules. Partners receive the customer’s contact details and can follow up at any time to assist with offer acceptance or provide additional context. This gives Partners increased visibility in AWS-led sales motions, faster deal conversion, and the ability to engage with customers who have expressed purchase intent, while giving AWS sellers confidence that matched Partners can deliver customized pricing without delays.

To get started, Partners can onboard their products to express private offers by following the AWS Marketplace Seller Guide. For best practices on co-selling with AWS, review this guide on improving your visibility to AWS Sales.

AWS announces Amazon Connect Customer Services Competency

AWS announces the Amazon Connect Customer Competency, a new AWS Specialization that helps customers identify Services Partners with proven expertise in transforming enterprise-wide customer experience on Amazon Connect Customer.\n Today’s customers expect seamless, personalized experiences at every touchpoint, but legacy contact centers fall short — relying on queues, manual routing, and handle-time metrics, with AI added as a separate layer rather than built in from the start.

The Amazon Connect Customer Competency recognizes Services Partners across two categories: Contact Center Transformation and AI-Powered Customer Experience. Partners validated in this Competency have demonstrated technical depth and proven success in migrating legacy contact centers and operationalizing AI at scale on Amazon Connect. Customers gain confidence working with validated Partners who can deliver AI-native transformations spanning voice, chat, email, SMS, and social channels.

This is the first AWS Competency directly aligned to an AWS service, replacing the Amazon Connect Service Delivery Program designation, which will be deprecated on June 1, 2027.

AWS Partners on the Services Path who are validated or differentiated members and have demonstrated customer success with Amazon Connect are encouraged to apply. To learn more and discover validated Partners, visit the Amazon Connect Customer Competency page.

AWS Transform now supports Amazon FSx for NetApp ONTAP (Public Preview)

Today, AWS announced the public preview of a new storage migration capability for AWS Transform that enables customers to migrate block storage workloads from any on-premises or cloud source to Amazon FSx for NetApp ONTAP (FSx for ONTAP), in addition to Amazon EBS. AWS Transform for migrations is an agentic AI service that automates the discovery, planning, and migration of workloads, accelerating infrastructure modernization with increased speed and confidence. FSx for ONTAP is a fully managed shared storage service built on NetApp’s ONTAP file system, allowing you to migrate on-premises applications that rely on NetApp ONTAP or other storage appliances to AWS without having to change how you manage your data. AWS Transform has supported migration of block-level storage directly attached to your server to Amazon EBS as part of compute rehosting. Now, customers can also migrate attached block storage to Amazon FSx for NetApp ONTAP, from any source vendor including NetApp, Dell, Pure Storage, and VMware environments.\n Customers migrating to AWS have traditionally managed storage migration separately, using additional tools and workflows. With this new capability, AWS Transform replicates block storage data directly to FSx for ONTAP volumes as part of the same migration wave that handles compute and network, eliminating the need for intermediate storage platforms, separate migration tools, and the additional cost and risk they introduce. Whether migrating from NetApp ONTAP or any other storage platform, including block storage or NFS datastores in VMware environments, customers access a fully managed service that combines ONTAP’s enterprise capabilities with the scalability and resiliency of AWS service.

To get started, visit AWS Transform for migrations. To learn more about the storage destination service, see the Amazon FSx for NetApp ONTAP product page.

AWS Marketplace Storefront is now generally available

AWS Marketplace Storefront is now generally available, enabling AWS Partners to create and deploy their own branded catalog of solutions and services on their website or application in hours. Channel Partners and Independent Software Vendors can now simplify how they manage their cloud marketplace business and make it easier for customers to discover and purchase their solutions from AWS Marketplace.\n With AWS Marketplace Storefront, Partners can configure a fully branded storefront with no code required, importing listings from AWS Marketplace and going live the same day. Transactions flow through AWS Marketplace billing infrastructure and appear automatically on customers’ AWS invoices, eliminating the need to build or maintain separate payment systems. Partners can automate deal workflows with private offer templates, approval automation, and native CRM connectivity to tools like Salesforce and HubSpot. The storefront supports a curated catalog on the Partner’s own domain, helping them maintain and strengthen customer relationships. For Channel Partners who resell multiple vendors’ solutions, this means presenting each customer a tailored catalog of approved products and expanding it as their channel business grows, with listing automation and catalog management tools. This new capability is available in all AWS Regions where AWS Marketplace operates. To learn more, visit the AWS Marketplace Storefront product page.

AWS Partner Central agents now guide new partners from registration to ready-to-sell

Today, AWS announces the general availability of onboarding capabilities for AWS Partner Central agents. The agent acts as an always-available advisor that guides new partners through every step required to be ready to sell with AWS, from profile setup to guidance to complete compliance requirements like verifications, tax, and payment setup, all the way to being ready to create listings on Marketplace. Partners can engage with the onboarding agent directly in the AWS Partner Central console or programmatically through Model Context Protocol (MCP).\n The agent builds complete partner profiles automatically, pulling facts from your company website to populate industries served, solutions offered, and key capabilities. The agent identifies what each partner needs to do next to be ready to sell with AWS and why, and provides step-by-step guidance through tax, banking, and compliance requirements. Partners who previously had to research across several documents to understand the quickest path to start selling with AWS now get a personalized roadmap on demand.

These agentic onboarding capabilities are available today in all commercial AWS Regions. To get started, log in to AWS Partner Central in the AWS Management Console and access agents by clicking on any of the default prompts available on the dashboard, or review the agents guide. To integrate into your own CRM or partner management tools, visit the Partner Central agents MCP server guide.

Amazon EC2 P6-B200 instances are now available in the Asia Pacific (Mumbai) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P6-B200 instances accelerated by NVIDIA Blackwell GPUs are available in Asia Pacific (Mumbai) Region. These instances offer up to 2x performance compared to P5en instances for AI training and inference.\n P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI workloads within Amazon EC2 UltraClusters to tens of thousands of GPUs. P6-B200 instances are now available in p6-b200.48xlarge size in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), AWS GovCloud (US-West, US-East) and Asia Pacific (Mumbai) Region. To learn more about P6-B200 instances, visit Amazon EC2 P6 instances.

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