10/7/2025, 12:00:00 AM ~ 10/8/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon DocumentDB (with MongoDB compatibility), a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure, is now available in the AWS Asia Pacific (Osaka), Asia Pacific (Thailand), Asia Pacific (Malaysia) and Mexico (Central) Regions. Amazon DocumentDB provides scalability and durability for mission-critical MongoDB workloads, supporting millions of requests per second and can be scaled to 15 low latency read replicas in minutes without application downtime. Storage scales automatically up to 128 TiB without any impact to your application. Amazon DocumentDB also natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more.\n To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, and see the AWS Region Table for complete regional availability. You can create a Amazon DocumentDB cluster from the AWS Management console, AWS Command Line Interface (CLI), or SDK.
Amazon VPC Lattice now supports configurable IP addresses for Resource Gateways
Starting today, Amazon VPC Lattice lets you configure the number of IPv4 addresses assigned to resource gateway elastic network interfaces (ENIs). This enhancement builds on VPC Lattice’s capability of providing access to resources on Layer-4 such as databases, clusters, domain names, etc. across multiple VPCs and accounts.\n When configuring a resource gateway, you can now specify the number of IPv4 addresses per ENI, which becomes immutable after setting. The IPv4 addresses are used for network address translation and determine the maximum number of concurrent IPv4 connections to a resource. You should consider your expected connection volume when configuring the IPv4 address count. By default, VPC Lattice assigns 16 IPv4 addresses per ENI. For IPv6, VPC Lattice always assigns a /80 CIDR per ENI. This feature is available at no additional cost in all AWS Regions where VPC Lattice is offered. For more information, visit the Amazon VPC Lattice product detail page and Amazon VPC Lattice documentation.
Amazon RDS for Db2 launches support for native database backups
Amazon Relational Database Service (Amazon RDS) for Db2 now enables customers to perform native database-level backups, offering greater flexibility in database management and migration.\n With this feature, customers can selectively back up individual databases within a multi-database RDS for Db2 instance, enabling efficient migration of specific databases to another instance or on-premises environment. Using a simple backup command, customers can easily create database copies for development and testing environments, while also meeting their compliance requirements through separate backup copies. By backing up specific databases instead of full instance snapshots, customers can reduce their storage costs. This feature is now available in all AWS Regions where Amazon RDS for Db2 is offered. For detailed information about configuring and using native database backups, visit the Amazon RDS for Db2 documentation. For pricing details, see the Amazon RDS pricing page.
AWS Marketplace now supports new currencies for usage-based private offers
AWS Marketplace now supports usage-based private offers in four new currencies: EUR, GBP, AUD, and JPY. AWS Marketplace Sellers and Channel Partners can now reach buyers globally without currency conversion complexity or foreign exchange risk by pricing their offers in these new currencies. For sellers, this means faster deal cycles, simplified cash flow management in local currency, and the ability to close larger deals with confidence. For AWS Marketplace buyers, software and services can now be procured in their preferred currency, eliminating foreign exchange risk in invoice amounts, and streamlining the procurement process for private offers.\n Sellers can now create private offers in EUR, GBP, AUD, and JPY, and receive their disbursements in the offer currency, regardless of pricing types, including contract with consumption-based pricing and usage-based (pay-as-you-go) pricing, in addition to contract-only pricing. For Channel Partner Private Offers (CPPO), the seller, channel partner, and buyer must all transact in the same currency. Sellers need to issue a resale authorization in the negotiated currency, and the channel partner then creates the CPPO in that currency. This functionality is available worldwide for all AWS Marketplace Sellers for all private offers. Public offers remain in USD only. AWS Marketplace Sellers can choose to get disbursed to a bank account in one of the eligible jurisdictions by updating your banking information and set your currency preferences in the AWS Marketplace Management Portal Settings page. To learn more, visit the documentation on local currency offers and disbursements.
AWS Marketplace expands Japan consumption tax support for Channel Partner Private Offers
Starting today, AWS Marketplace expands its Japan consumption tax (JCT) support for Channel Partner Private Offers (CPPOs), enhancing the tax experience for Independent Software Vendors (ISVs) and Channel Partners. For transactions where Japan ISVs authorize Japan Channel Partners to resell to Japan addressed buyers, AWS Japan G.K. (“AWS Japan”) will now collect the 10% JCT for the first leg of the transaction between ISVs and Channel Partners, issue a tax qualified invoice (TQI) to the Channel Partners and disburse the JCT to ISVs. \n AWS Japan will continue to collect the 10% JCT for the second leg of the transaction between Japan Channel Partners and Japan buyers and issue a TQI to the buyers, as previously established under the Japan Marketplace Facilitator rule. This launch unifies the compliance across both transactions, creating a seamless tax experience. This feature is applicable for Japan ISVs and Japan Channel Partners when transacting via the AWS Japan Marketplace Operator. To learn more, please visit the AWS Japan FAQ or AWS Marketplace Seller Guide.
Amazon EC2 Im4gn instances now available in AWS Asia Pacific (Mumbai) region
Starting today, Amazon EC2 Im4gn Instances are available in Asia Pacific (Mumbai) region. Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of instance storage with the 2nd Generation AWS Nitro SSDs that are custom-designed by AWS for the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics. These instances help with transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads requiring fast access to data sets on local storage. \n The Im4gn instances also feature up to 100 Gbps networking and support for Elastic Fabric Adapter (EFA) for applications requiring high levels of inter-node communication. Get started with Im4gn instances by visiting the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To learn more, visit the Im4gn instances page.
AWS Marketplace announces enhanced pricing dimension capabilities for sellers
Today, AWS Marketplace announces enhanced pricing dimension capabilities, increasing limits and improving flexibility for sellers managing their product pricing. These enhancements increase the maximum pricing dimensions from 24 to 200, enable immediate use of new SaaS dimensions, and remove the 90-day price update restriction for dimensions without active subscriptions.\n These enhancements address key product pricing needs for sellers offering complex enterprise software. With 200 dimensions each for contract and usage-based pricing, sellers can now fully represent pricing across multiple features, user types, and consumption metrics in a single listing; matching the same pricing structures they offer outside of AWS Marketplace. When sellers add new usage dimensions to their public offers, these become available immediately for use. For instance, when a seller launches a new feature, subscribers can now instantly access it. Similarly, for dimensions without active subscriptions, sellers can adjust prices to align with their external pricing strategies without waiting through multiple 90-day periods. These enhancements to pricing dimensions are now available in all AWS Regions where AWS Marketplace is supported. To learn more, visit the AWS Marketplace Seller Guide, or access the AWS Marketplace Management Portal to try the new capabilities.
Automatic quota management is now generally available for AWS Service Quotas
Today, AWS announces the general availability of a new capability of AWS Service Quotas called automatic quota management. AWS Service Quotas helps you view and manage your quotas from a central location. This new feature monitors quota usage, and notifies customers before they run out of their allocated quotas supported on AWS Service Quotas. This helps customers with better visibility and proactive awareness about their quota usage, enabling them to scale their applications without interruptions.\n AWS customers can get notified of their quota usage with automatic quota management. Customers can configure their preferred notifications channels, such as email, SMS, or Slack, through Service Quotas console or API. Notifications are also available in AWS Health, and customers can subscribe to related AWS Cloudtrail events for automation workflows. This new capability is now available at no additional cost in all AWS commercial regions. To explore this feature and for details, please visit Service Quotas console and AWS Service Quotas documentation.
Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Seoul) and Canada (Central) regions. Each RPU provides 16 GB of memory. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to support a diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs.\n Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.
AWS Blogs
AWS Japan Blog (Japanese)
- Accelerate Amazon S3 Throughput with the AWS Common Runtime
- How to manage AI bots and enhance security with AWS WAF
- The Essential Guide to Cloud Governance in AWS Re:Invent 2025
- [AWS Summit Japan 2025] Introduction of solution demonstrations for local governments using generative AI
- An example of using AWS-generated AI by Information Strategy Technology Co., Ltd.: Using Amazon Bedrock, we have developed an AI agent secretary “Paio Nyan” that is close to each and every employee and grows together. Information search operations were improved by 83%, and employee growth was visualized.
- Daiichi Sankyo collaborates with AWS to begin building an AI agent-integrated drug discovery platform - realizing a next-generation drug discovery research process by fusing AI, cloud, and experimental automation technology
AWS Cloud Financial Management
- Introducing multi-source custom billing views: unified cost management across multiple organizations on AWS
- Your Ultimate Guide to Cloud Financial Management sessions at re:Invent 2025: Know Before You Go
AWS Cloud Operations Blog
AWS Big Data Blog
- Best practices for migrating from Apache Airflow 2.x to Apache Airflow 3.x on Amazon MWAA
- Breaking down data silos: Volkswagen’s approach with Amazon DataZone
AWS Database Blog
AWS DevOps & Developer Productivity Blog
AWS for Industries
Artificial Intelligence
- Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act
- Implement automated monitoring for Amazon Bedrock batch inference