Amazon EC2 M8i-flex instances are now available in additional AWS regions

Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Malaysia, Seoul, Singapore, Tokyo), Europe (Frankfurt) and Canada (Central) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances. M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. To get started, sign in to the AWS Management Console. For more information about the M8i-flex instances visit the AWS News blog.
Quelle: aws.amazon.com

Aurora DSQL launches new Go, Python, and Node.js connectors that simplify IAM authentication

Today we are announcing the release of Aurora DSQL Connectors for Go (pgx), Python (asyncpg), and Node.js (WebSocket for Postgres.js) that simplify IAM authentication for customers using standard PostgreSQL drivers to connect to Aurora DSQL clusters. These connectors act as transparent authentication layers that automatically handle IAM token generation, eliminating the need to write token generation code or manually supply IAM tokens. Tokens are automatically generated for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing PostgreSQL driver features. The Postgres.js connector additionally supports WebSocket protocol, enabling customers to connect to DSQL clusters in environments where TCP connections are not available. These connectors streamline authentication and eliminate security risks associated with traditional user-generated passwords. All three connectors support custom IAM credential providers, giving customers flexibility in how they manage their AWS credentials. To get started, visit the Connectors for Aurora DSQL documentation page. For code examples, visit our Github page for pgx for Go, asyncpg for Python, and Websocket for Postgres.js. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.
Quelle: aws.amazon.com

AWS Clean Rooms announces support for remote Apache Iceberg REST catalogs

AWS Clean Rooms now supports catalog federation for remote Iceberg catalogs. This capability simplifies clean room setup by providing direct, secure access to Iceberg tables stored in Amazon S3 and cataloged in remote catalogs—without requiring table metadata replication. Organizations can now use AWS Glue catalog federation to provide direct access to their existing Iceberg REST catalog in a Clean Rooms collaboration. For example, a media publisher with data cataloged in the AWS Glue Data Catalog and an advertiser with data cataloged in a remote Iceberg catalog can analyze their collective datasets to evaluate advertising spend—without having to build ETL data pipelines or share underlying data with one another. 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.
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Amazon Managed Grafana now supports AWS KMS customer managed keys

Amazon Managed Grafana now supports customer-managed keys (CMK) through AWS Key Management Service (KMS), enabling you to encrypt data stored in in your Amazon Managed Grafana workspaces with your own encryption keys. Amazon Managed Grafana is a fully managed service based on open-source Grafana that makes it easier for you to visualize and analyze your operational data at scale.
Amazon Managed Grafana provides encryption at rest using AWS owned keys by default. With this launch, you now have an option to use a customer-managed key when creating an Amazon Managed Grafana workspace. This allows you to add a self-managed security layer, helping you meet your organization’s compliance and regulatory requirements.
This feature is now available in all regions where Amazon Managed Grafana is generally available, except in AWS GovCloud (US) Regions. To get started with Amazon Managed Grafana, refer Amazon Managed Grafana user guide. To learn more about Amazon Managed Grafana, visit the product page and pricing page.
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Amazon Connect Cases now supports AWS Service Quotas

Amazon Connect Cases now supports AWS Service Quotas, giving administrators a centralized way to view applied limits, monitor utilization, and scale case workloads without hitting unexpected service constraints. You can request quota increases directly from the Service Quotas console, and eligible requests are automatically approved without manual intervention. Amazon Connect Cases is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
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Amazon Aurora DSQL now integrates with Kiro powers and AI agent skills

Today, AWS announces Amazon Aurora DSQL integration with Kiro powers and AI agent skills, enabling developers to build Aurora DSQL-backed applications faster with AI agent-assisted development. These integrations bundle the Aurora DSQL Model Context Protocol (MCP) server with development best practices, so AI agents can help you with Aurora DSQL schema design, performance optimization, and database operations out of the box. Kiro powers is a registry of curated and pre-packaged MCP servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. With the Kiro power for Aurora DSQL, agents have instant access to specialized knowledge, so developers can work confidently without any prior context, reducing trial-and-error development cycles. The power is available within the Kiro IDE for one-click installation. The Aurora DSQL skill extends the same capabilities to additional AI coding agents through the Skills CLI. Developers can install the skill with a single command and select their preferred agents including Kiro CLI, Claude Code, Gemini, Codex, Cursor, Copilot, Cline, Windsurf, Roo, OpenCode, and more. When developers work on database tasks, the agent dynamically loads relevant skill guidance, including Aurora DSQL Postgres-compatible SQL patterns, distributed database design, and IAM authentication, eliminating the need to repeatedly provide the same context across conversations. As Aurora DSQL adds new features, future skill releases will include updated patterns and guidance, ensuring that agents always have current best practices.
For more information on the Aurora DSQL Kiro power and agent skills, visit the Aurora DSQL steering documentation and GitHub page. Get started with Aurora DSQL for free with the AWS Free Tier.
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Amazon OpenSearch Service now supports storage optimized i7i instances

Amazon OpenSearch Service now supports latest generation x86 based high performance Storage Optimized i7i instances. Powered by 5th generation Intel Xeon Scalable processors, I7i instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. I7i instances have 3rd generation AWS Nitro SSDs with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. Built on the AWS Nitro System, these instances offload CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. Amazon OpenSearch Service supports i7i instances in following AWS Regions US East (N. Virginia, Ohio), US West (N. California, Oregon), Canada (Central), Canada West (Calgary), Europe (Frankfurt, Ireland, London, Milan, Spain, Stockholm, Zurich ), Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Middle East (UAE), South America (São Paulo) & AWS GovCloud (US-West). For region specific availability & pricing, visit our pricing page. To learn more about Amazon OpenSearch Service and its capabilities, visit our product page.
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Amazon OpenSearch Service expands support for Graviton4 (c8g,m8g & r8g ) instances

Amazon OpenSearch Service expands support for the latest generation Graviton4-based Amazon EC2 instance families. These new instance types are compute optimized (c8g), general purpose (m8g), and memory optimized (r8g, r8gd) instances. AWS Graviton4 processors provide up to 30% better performance than AWS Graviton3 processors with c8g, m8g and r8g & r8gd offering the best price performance for compute-intensive, general purpose, and memory-intensive workloads respectively. To learn more about Graviton4 improvements, please see the blog on r8g instances and the blog on c8g & m8g instances. Amazon OpenSearch Service Graviton4 instances are supported for all OpenSearch versions, and Elasticsearch (open source) versions 7.9 and 7.10. Apart from the regions already supported, one or more than one Graviton4 instance types are now also available in following region: Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Osaka), Asia Pacific (Thailand), Europe (Milan), Europe (Paris), Europe (Zurich), Middle East (UAE), AWS GovCloud (US-West) and AWS GovCloud (US-East). For region specific availability & pricing, visit our pricing page. To learn more about Amazon OpenSearch Service and its capabilities, visit our product page.
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Amazon MSK now supports dual-stack (IPv4 and IPv6) connectivity for existing clusters

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports dual-stack connectivity (IPv4 and IPv6) for existing MSK Provisioned and MSK Serverless clusters. This capability enables customers to connect to Amazon MSK using both IPv4 and IPv6 protocols, in addition to the existing IPv4-only option. It helps customers modernize applications for IPv6 environments while maintaining IPv4 compatibility, making it easier to meet compliance requirements and prepare for future network architectures. Amazon MSK is a fully managed service for Apache Kafka that makes it easier for customers to build and run applications that use Apache Kafka as a data store. Previously, MSK Provisioned and Serverless clusters exclusively utilized IPv4 addressing for all connectivity options. With this new capability, customers can now enable dual-stack connectivity (IPv4 and IPv6) on existing MSK clusters using Amazon MSK Console, AWS CLI, SDK, or CloudFormation by modifying the Network Type parameter for a cluster from IPv4 to dual-stack. Upon successful update, MSK provisions IPv6-enabled network interfaces while maintaining existing IPv4 connectivity, ensuring uninterrupted service. To retrieve new IPv6 bootstrap broker strings for MSK Provisioned clusters, customers can use the GetBootstrapBrokers API to obtain the necessary connection information. All MSK Provisioned and Serverless clusters will retain IPv4-only connectivity unless explicitly updated. Dual-stack connectivity for existing MSK Provisioned and Serverless clusters is now available in all AWS Regions where Amazon MSK is available, at no additional cost. To learn more about Amazon MSK dual-stack support, refer to the Amazon MSK developer guide. 
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Amazon Connect now supports multi-line text fields on case templates

Amazon Connect now supports larger, multi-line text fields on case templates allowing agents to capture detailed free-form notes and structured data directly within cases. These fields expand vertically to accommodate multiple paragraphs, making it easier to document root cause analysis, transaction details, investigation findings, or customer-facing updates. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
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