2/12/2026, 12:00:00 AM ~ 2/13/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon Bedrock increases default quotas for Anthropic’s Claude Sonnet 4.5 model in AWS GovCloud (US)
Amazon Bedrock has increased the default quotas for Anthropic’s Claude Sonnet 4.5 in AWS GovCloud (US-West) and AWS GovCloud (US-East) to 5,000,000 tokens per minute and 1,000 requests per minute, aligning with commercial AWS regions. This 25x increase enables customers to scale their AI workloads more effectively in regulated environments.\n Claude Sonnet 4.5 is Anthropic’s latest Sonnet model, excelling at building complex agents, coding, and long-horizon tasks while maintaining optimal speed and cost-efficiency for high-volume use-cases.
AI Troubleshooting in the AWS Support Center Console now supports 7 additional languages
AI troubleshooting in the AWS Support Center Console is now available in seven languages in addition to English: Japanese, Korean, Mandarin (Simplified), Mandarin (Traditional), Spanish, Portuguese, French. AWS Support Center Console is the primary interface where customers manage their AWS support experience, including creating and tracking support cases. Previously, AI troubleshooting capabilities were only available in English, creating a barrier for customers who prefer to work in their native language. With this launch, customers can now interact with AI-powered troubleshooting assistance in their preferred language.\n AWS Support’s AI troubleshooting helps customers resolve issues faster by providing immediate, contextual recommendations while they create a support case. For example, a Japanese developer troubleshooting an EC2 connectivity issue can now receive AI-generated insights and potential solutions in Japanese, reducing the time needed to understand and implement fixes. This capability is seamlessly integrated into the support experience and is available to all customers regardless of support plan, ensuring that language is no longer a barrier to self-service support. All customers regardless of support plan can access the experience by selecting a supported language in their console settings and clicking the “Try it now” link in the banner at the top of the AWS Support Center Console.
Amazon RDS for PostgreSQL supports minor versions 18.2, 17.8, 16.12, 15.16 and 14.21
Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view.\n You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).
Announcing new Amazon EC2 general purpose M8azn instances
AWS is announcing the general availability of new Amazon EC2 M8azn instances, general purpose high-frequency high-network instances powered by fifth generation AMD EPYC (formerly code named Turin) processors, offering the highest maximum CPU frequency, 5GHz in the cloud. M8azn instances offer up to 2x compute performance compared to previous generation M5zn instances, and up to 24% higher performance than M8a instances.\n M8azn instances deliver up to 4.3x higher memory bandwidth and 10x larger L3 cache compared to M5zn instances allowing latency-sensitive and compute-intensive workloads to achieve results faster. These instances also offer up to 2x networking throughput and up to 3x EBS throughput versus M5zn instances. Built on the AWS Nitro System using sixth generation Nitro Cards, these instances are ideal for applications such as real-time financial analytics, high-performance computing, high-frequency trading (HFT), CI/CD, intensive gaming, and simulation modeling for the automotive, aerospace, energy, and telecommunication industries. M8azn instances feature a 4:1 ratio of memory to vCPU and are available in 9 sizes ranging from 2 to 96 vCPUs with up to 384 GiB of memory, including two bare metal variants. M8azn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt) Regions. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. To get started, sign in to the AWS Management Console. For more information visit the Amazon EC2 M8azn instance page.
Amazon S3 Tables add partition and sort order definition in the CreateTable API
Amazon S3 Tables announce partition and sort order definition support for the CreateTable API. This enhancement simplifies setting these properties programmatically, making it easier to manage and optimize data in tables when they are created.\n To use this feature, you can specify fields for partition transforms and sort order in the CreateTable API call. You can also define these properties when you create tables using the AWS CLI or the AWS SDK. To create tables with partition and sort order, upgrade to the latest version of the AWS CLI and AWS SDKs. This support is available in all AWS Regions where S3 Tables are available. To learn more, visit the Amazon S3 Tables overview page and documentation.
AWS Backup adds cross-Region database snapshot copy to logically air-gapped vaults
AWS Backup now supports single-action database snapshot copies to logically air-gapped vaults across AWS Regions. This capability is available for Amazon Aurora, Amazon Neptune, and Amazon DocumentDB snapshots, eliminating the need for an intermediate copying step in target Regions.\n You can perform cross-Region and cross-account snapshot copies to protect against incidents like ransomware events and Region outages that might affect your production accounts or primary Regions. Previously, this required a two-step process—first copying snapshots to the target Region in a backup vault, then copying them to the logically air-gapped vault in the same Region. Now, you can complete this in one step, achieving faster recovery point objectives (RPOs) while eliminating costs associated with intermediate copies. This streamlined process also removes the need for custom scripts or AWS Lambda functions to monitor intermediate copy status.
This feature is available for Amazon Aurora, Amazon Neptune and Amazon DocumentDB, in all Regions where AWS Backup supports these databases and logically air-gapped vaults. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer to the AWS Backup documentation.
AWS Blogs
AWS Japan Blog (Japanese)
- AWS Weekly Roundup: Claude Opus 4.6 on Amazon Bedrock, Sign in with Apple with an AWS Builder ID, etc. (February 9, 2026)
- [Contribution] From SIEM to Data Infrastructure — Mitsui & Co. Digital Asset Management’s AWS Security Lake Use Case
- How to implement and verify post-quantum TLS in Python
- AWS KMS, ACM, and Secrets Manager now support ML-KEM post-quantum TLS
- Secure TLS connection mechanism and client configuration guide in the transition to post-quantum cryptography
AWS Cloud Operations Blog
AWS Big Data Blog
AWS Database Blog
- Achieve near-zero downtime database maintenance by using blue/green deployments with AWS JDBC Driver
AWS HPC Blog
AWS for Industries
Artificial Intelligence
- AI meets HR: Transforming talent acquisition with Amazon Bedrock
- Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration