Cloud Computing Köln

Amazon CloudWatch pipelines adds GeoIP, RDS, and XML processors

Amazon CloudWatch pipelines now includes three new processors that parse and enrich log data as it’s ingested: an Amazon RDS log parser, an XML parser and a GeoIP enrichment processor. CloudWatch pipelines is a fully managed service that ingests, transforms, and routes telemetry to CloudWatch without managing infrastructure.
Log sources often produce data that isn’t immediately queryable without reprocessing the data. RDS Aurora logs arrive in their native engine format, application logs carry embedded XML, and IP addresses lack location context. The new processors address each case. The Amazon RDS processor parses Aurora audit and error logs into structured fields, the XML parser converts a field containing an XML string into JSON, and the GeoIP processor enriches any IP address field with geographic context such as city, country, and coordinates. For example, you can parse an Aurora audit log into structured fields for compliance reporting. In a separate pipeline, you can extract the XML payload from a Windows Event Log into JSON and resolve its source IP to a city and country for security analysis. You can use these processors independently or combine them in one pipeline.
These processors are available at no additional cost in all AWS Regions where CloudWatch pipelines is generally available. CloudWatch logs ingestion and storage rates apply. You can add these processors to your pipelines using the AWS Management Console, AWS CLI, or AWS SDKs. To get started, see the Amazon CloudWatch pipelines documentation.
Quelle: aws.amazon.com

Amazon SageMaker notebooks now support trusted identity propagation

Amazon SageMaker Notebooks now support Trusted Identity Propagation (TIP) with Amazon Athena, Amazon Redshift, and Amazon EMR Serverless, enabling per-user access control for data analytics.
When connected to a TIP-enabled compute in a TIP-enabled Project, each notebook user’s IAM Identity Center identity flows through to AWS Lake Formation, ensuring they see only the tables, columns, and rows their permissions allow, without sharing a single broad execution role. With TIP, enterprises get per-user data boundaries enforced based on who is running the query, full audit attribution with CloudTrail recording which user accessed data, and reduced admin friction since identity propagates automatically through the existing compute connection with no extra login, token, or role management required.
To get started, use a notebook in a TIP enabled Project with the supported engines.  This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, see Trusted identity propagation in the Amazon SageMaker Unified Studio Administrator Guide and Notebooks in the Amazon SageMaker Unified Studio User Guide.
Quelle: aws.amazon.com

Amazon CloudWatch log Centralization now supports log group tag propagation

Amazon CloudWatch Centralization now copies log group tags from source accounts to the destination log groups created by centralization rules. CloudWatch Centralization aggregates log data from multiple accounts and Regions into one destination account. With tag propagation, the cost, ownership, and compliance tags you maintain at the source now apply to the copied log groups.
With today’s launch, CloudWatch copies the tags of each source log group to its destination log group and keeps them in sync based on the tag propogation behaviour selected as part of the centralization rule setup. For example, a platform team can preserve Application and CostCenter tags on centralized log groups, then use those tags to scope access with IAM conditions and report centralized log spend by team in AWS Cost Explorer.
Tag propagation is available in all AWS Regions where CloudWatch Centralization is available. For a list of Regions, see the AWS Regions table.
To get started, turn on tag propagation for a centralization rule in the Amazon CloudWatch console, or by using the AWS CLI or AWS SDKs. To learn more about centralizing logs while preserving their tags, see Log Centralization User Guide. For Centralization pricing, see Amazon CloudWatch pricing.
Quelle: aws.amazon.com

Web Search in Amazon Bedrock AgentCore adds domain and published date filtering, expands to Europe and Asia Pacific

Web Search in Amazon Bedrock AgentCore now supports domain filtering and published-date filtering, giving agents per-request control over which web sources and time windows they search. Amazon Bedrock AgentCore provides the infrastructure to build, connect, and optimize AI agents, and Web Search enables those agents to ground responses in current web data. With runtime domain filtering, agents can narrow search results to trusted sources or block unwanted domains on a per-call basis without requiring admin reconfiguration. Published-date filtering allows agents to constrain results to a specific time window using inclusive from and to date bounds, ensuring responses reflect only timely, relevant content. With this launch, agents can pass include and exclude domain lists and a published-date range directly in each tool call, while admins gain new gateway-level allowlist support and an increased domain cap of up to 100 domains per list. These capabilities are ideal for regulated industries, research workflows, and applications that require strict control over information sources and recency. The Web Search Tool is also expanding to Europe (Ireland) (eu-west-1) and Asia Pacific (Tokyo) (ap-northeast-1), joining the existing US East (N. Virginia) (us-east-1) availability. To learn more, read the technical blog about domain and published date filters , and review the Amazon Bedrock AgentCore product documentation.
Quelle: aws.amazon.com

Launching External Web Access for Web Search on Amazon Bedrock

Earlier this month, we announced Web Search on Amazon Bedrock, a built-in server-side tool that allows you to ground model responses with current web knowledge, while maintaining data within your secured AWS environment with zero data egress. Today, we are expanding Web Search to enable the external_web_access parameter allowing Web Search to retrieve content directly from the public web so models can ground responses in the latest information.
To enable external_web_access, grant the bedrock-websearch:ExternalWebAccess IAM permission to the request identity and leave the external_web_access parameter at its default of true.  In doing so, Web Search can then fetch content live from the public web for use cases that need the freshest possible information, such as latest sports score, live pricing, or newly released documentation. If handling sensitive data, to keep retrieval entirely within your AWS boundary, set external_web_access: false. By setting it false, Web Search serves results only from Amazon’s in-AWS web index and knowledge graph, with no request data leaving the AWS boundary.  
Enabling External Web Access is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon). To learn more, read our blog post Introducing Web Search on Amazon Bedrock for foundation model grounding, review Controlling external web access in the Amazon Bedrock User Guide, and visit the Amazon Bedrock pricing page for cost details.
 
Quelle: aws.amazon.com