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Amazon RDS for MySQL now supports community MySQL Innovation Release 9.6 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.6 in the Amazon RDS Database Preview Environment which provides the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MySQL 9.6 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next innovation minor, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the MySQL 9.6 relea

Amazon DocumentDB (with MongoDB compatibility) is now available in the Canada West (Calgary) region adding to the list of available regions where you can use Amazon DocumentDB. Amazon DocumentDB is 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. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low latency read replicas in minutes with no application d

Amazon CloudFront now allows you to invalidate cached objects by cache tag, enabling you to remove groups of related content from CloudFront edge locations with a single invalidation request. Cache tag invalidation simplifies common operational workflows such as updating product information across multiple pages, managing legal takedown requests, handling regulatory compliance requests, and refreshing content across multi-tenant platforms. Previously, invalidating related objects that didn't share a common URL path required tracking individual URLs or using broad wildcard patterns that could unnecessarily clear unrelated content. With invalidation by cache tag, developers and site reliability engineers can tag cached objects when returning an object by including a specified header in HTTP responses with comma-separated tag values. When needed, they can invalidate all objects sharing a tag in one request, maintaining high cache hit ratios while ensuring end users see fresh c

Today, AWS announced the availability of Gemma 4 E4B, Gemma 4 26B-A4B, and Gemma 4 31B in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three instruction-tuned models from Google DeepMind bring multimodal capabilities with configurable reasoning, native function calling, and multilingual support across 140+ languages, enabling customers to build sophisticated AI applications across diverse use cases on AWS infrastructure. All three models share a common set of capabilities that address a broad range of enterprise AI use cases: Thinking - Built-in reasoning mode that lets the model think step-by-step before answering Image Understanding - Object detection, document and PDF parsing, screen and UI understanding, chart comprehension, OCR including multilingual, and handwriting recognition Video Understanding - Analyze video content by processing sequences of frames Interleaved Multimodal

Today, AWS announced the availability of paraphrase-multilingual-MiniLM-L12-v2, Microsoft Table Transformer Detection, and Bielik-11B-v3.0-Instruct in Amazon SageMaker JumpStart. Paraphrase-multilingual-MiniLM-L12-v2 from Sentence Transformers is a lightweight semantic similarity model that maps sentences and paragraphs to a 384-dimensional dense vector space across 50+ languages. It is well suited for finding semantically similar content within and across languages, making it ideal for cross-lingual semantic search, multilingual document clustering, and sentence similarity scoring without requiring language-specific configuration. Microsoft Table Transformer Detection is a DETR-based object detection model trained on the PubTables-1M dataset, purpose-built for detecting tables in unstructured documents such as PDFs and scanned images. It is well suited for document digitization pipelines and automated data extraction workflows that require

Amazon CloudWatch now provides a visual configuration editor for the CloudWatch agent directly in the Amazon EC2 console, enabling you to set up and manage observability for your EC2 instances without hand-editing JSON. The CloudWatch agent collects infrastructure and application metrics, logs, and traces from EC2 instances and sends them to CloudWatch and AWS X-Ray. With the new visual editor, you can build agent configurations graphically, selecting metrics, log sources, and deployment targets, and deploy with a single click. From the EC2 console, you can select one or more instances, install the CloudWatch agent, or create tag-based policies for automated fleet-wide management. From the instance detail page, you can view agent status, update configurations, and troubleshoot agent health. Automated policies automatically apply the correct monitoring settings to every new instance, including those launched by auto-scaling. To get started, navigat

Amazon Bedrock now supports OpenAI's open-weight GPT OSS models (120B and 20B) and NVIDIA Nemotron (Nano 9B v2, Nano 12B v2, Nano 30B, Super 120B) models expanding your ability to build and scale generative AI applications with diverse, high-performance foundation models. This offers the flexibility to leverage OpenAI's and NVIDIA's latest models alongside other leading AI models through a single, unified API—allowing you to select the best model for each specific use case without changing your application code. OpenAI GPT OSS models deliver powerful language understanding and generation capabilities with open-weight architectures, enabling enterprises to build sophisticated AI applications with transparency and flexibility. NVIDIA Nemotron models offer both small language model (SLM) and large language model (LLM) capabilities delivering high compute efficiency and accuracy that developers can use to build specialized agentic AI systems. The models are fully open with op

Quick Sight in Amazon Quick now supports custom sort for filter controls, giving authors control over how values appear in dropdown and list controls. Previously, filter control values were always sorted alphabetically. With custom sort, authors can arrange values to match business logic or rank them by a related metric, so the most relevant options appear first. Custom sort applies to dropdown and list controls, both single-select and multi-select. Authors can choose ascending, descending, or a fully user-defined order for controls with manually entered values. For controls tied to a dataset column, authors can sort by that column or by a different field using aggregation functions like Sum, Average, Count, Min, and Max. For example, a priority field can be ordered as Critical, High, Medium, Low instead of alphabetically, or a list of product categories can be ranked by total revenue so top sellers surface first. This feature is now available in

AWS Transfer Family Terraform module now includes end-to-end examples for deploying Transfer Family endpoints integrated with Okta and Microsoft Entra ID as custom identity providers (IdP) for authentication and access control. This allows enterprises already using these platforms to automate and streamline the deployment of Transfer Family servers with their existing identity infrastructure. The Terraform module and examples are based on the open source Custom IdP solution, which provides standardized integration with widely used identity providers and includes built-in security controls such as multi-factor authentication, audit logging, and per-user IP all

Amazon Relational Database Service (Amazon RDS) for Db2 is now available in the AWS GovCloud (US-East, US-West) Regions. Amazon RDS for Db2 makes it easy to set up, operate, and scale Db2 databases in the cloud. Customers can deploy a Db2 database in minutes with automatically configured parameters for optimal performance. For databases setup with Multi-AZ configuration, Amazon RDS performs synchronous replication to a standby instance in a different Availability Zone to provide high availability. To use Amazon RDS for Db2, customers can use Bring Your Own License (BYOL) available in Standard and Advanced Editions. Your RDS for Db2 usage may be eligible for Database Savings Plan, a flexible pricing model that offers savings in exchange for a commitment to a specific amount of usage (measured in $/hour) over a 1-year term. You can learn more about eligible usage on the