Amazon MSK Replicator is now available in AWS GovCloud (US-East, US-West) Regions

You can now use Amazon MSK Replicator in the AWS GovCloud (US-East, US-West) Regions to replicate streaming data across Amazon MSK clusters and from external Apache Kafka clusters including on-premises, self-managed on AWS, or other cloud providers to Amazon MSK Provisioned clusters.
MSK Replicator is a feature of Amazon MSK that automates data replication between Kafka clusters, eliminating the need to manage custom replication infrastructure or configure open-source tools. With MSK Replicator, you can easily build regionally resilient streaming applications for increased availability and business continuity. MSK Replicator provides automatic asynchronous replication across Kafka clusters, eliminating the need to write custom code, manage infrastructure, or setup cross-region networking. MSK Replicator automatically scales the underlying resources so that you can replicate data on-demand without having to monitor or scale capacity. MSK Replicator also replicates the necessary Kafka metadata including topic configurations, Access Control Lists (ACLs), and consumer group offsets. If an unexpected event occurs in a region, you can failover to the other AWS Region and seamlessly resume processing.
You can get started with MSK Replicator from the Amazon MSK console or the Amazon CLI. To learn more, visit the MSK Replicator documentation, product page, and pricing page.
Quelle: aws.amazon.com

Amazon Redshift expands SUPER data type to store strings up to 16 million bytes

Amazon Redshift now supports individual strings up to 16 million bytes within SUPER data types. Once you opt in through a database parameter, this enhancement applies when ingesting structured or semi-structured data from JSON, PARQUET, TEXT, and CSV source files, and when transforming data through extract load and transform (ELT) processes. Previously, individual strings within SUPER data types were limited to 65,535 bytes.
Storing large individual strings in the SUPER data type helps avoid complex pre-loading transformations needed to store the source data in Amazon Redshift. You can now directly ingest large individual strings greater than 65,535 bytes without extra processing (for example, lengthy documents like terms and conditions and contracts), making them queryable using SQL. Once the data is in Amazon Redshift, you can use the flexibility of PartiQL language to explore and navigate through the data or use string functions to transform the data. Functions such as JSON_PARSE, CONCAT, and LISTAGG can now take input strings and return output strings up to 16 million bytes in length.
This enhancement is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. See the AWS Region Table for more details. To learn more, please visit our documentation or blog.  
Quelle: aws.amazon.com

Agent Registry is now generally available in AWS GovCloud (US-West) Region

AWS Agent Registry, available through Amazon Bedrock AgentCore, is now available in the AWS GovCloud (US-West) Region.
AWS Agent Registry is a fully managed discovery service that gives your organization a central catalog for organizing, curating, and discovering resources. You can publish MCP servers, tools, agents, agent skills, and custom resources to a searchable registry, and control what becomes discoverable through an approval workflow. People and AI agents can then find the right tools and agents through hybrid search, catalog browsing, and a native MCP endpoint.
With Agent Registry in AWS GovCloud (US-West), public sector organizations and their partners get a single governed inventory of the agents and tools in their environment. Approval workflows and AWS CloudTrail audit logs support their compliance and oversight requirements.
To get started, see the AWS Agent Registry documentation.
Quelle: aws.amazon.com

Kimi K3.1 Pro (Highspeed) now available on Amazon Bedrock

Today, Kimi K3.1 Pro from Moonshot AI is available on Amazon Bedrock, expanding our open weight model portfolio with the security and governance that customers rely on. Customers using Amazon Bedrock can now run agentic use cases such as coding and document processing on Kimi K3.1 Pro (Highspeed), which delivers high output tokens per second (OTPS) for faster, more responsive results.
According to Moonshot AI, Kimi K3.1 Pro is an open-weight, natively multimodal agentic model with a 1-million-token context window, and its most capable 3-trillion-parameter-class model to date. Moonshot AI reports improvements in coding, 3D creation, financial research, and other agentic work. On Amazon Bedrock, it runs within the same security boundary as proprietary models and supports explicit prompt caching to reduce latency and input costs.
Kimi K3.1 Pro is available in all AWS Regions where Amazon Bedrock is available through cross-Region inference. To get started, visit the Amazon Bedrock console. To learn more, see the Amazon Bedrock documentation.
Quelle: aws.amazon.com