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Amazon Redshift now supports allocating extra compute for automatic optimizations

Amazon Redshift now supports allocating extra compute for automatic optimization features, known as autonomics. Database administrators managing Amazon Redshift workloads can now allocate additional resources for their clusters to enable autonomics even during periods of high user activity, eliminating the need to manually schedule optimizations such as Automatic Table Optimization (ATO), Automatic Table Sorting (ATS), Auto Vacuum, and Auto Analyze. This enhancement extends Amazon Redshift’s autonomics capabilities to automatically leverage extra compute resources, to run reliably without impacting user workloads. It also includes a cost control feature for provisioned clusters, allowing database administrators to limit the amount of resources available to autonomics. Additionally, the new SYS_AUTOMATIC_OPTIMIZATION system table enhances observability by providing detailed information on autonomics operations for both provisioned clusters and serverless workgroups. This feature is available in all AWS Regions where Amazon Redshift is supported. To learn more, see Allocating extra compute resources for automatic database optimization.
Quelle: aws.amazon.com

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AWS HealthOmics introduces a Kiro Power and Kiro IDE extension for bioinformatics workflow development

AWS HealthOmics announces a Kiro Power and Kiro IDE extension to create, run, debug, and optimize HealthOmics workflows faster with AI agent-assisted development. With the HealthOmics extension for Kiro IDE, customers can create, modify, and analyze workflows in domain-specific languages including Nextflow and WDL directly in the Kiro interface. AWS HealthOmics is a HIPAA-eligible service that helps accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. Kiro Powers is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. The Kiro Power for HealthOmics packages the HealthOmics MCP server with guidance, giving the Kiro agent expertise in HealthOmics workflow creation and optimization. The HealthOmics Kiro IDE extension provides syntax highlighting, code completion, and troubleshooting guidance, along with HealthOmics engine compatibility checking, performance optimization recommendations, automated run analysis with failure diagnostics, and workflow import/export capabilities. To get started, download and install the HealthOmics Kiro Power from https://kiro.dev/powers/ and HealthOmics Kiro IDE extension from Open VSX Registry.
Quelle: aws.amazon.com

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Amazon Neptune Analytics is now available in 7 additional regions

Amazon Neptune Analytics is now available in Middle East (Bahrain), Middle East (UAE), Israel (Tel Aviv), Africa (Cape Town), Canada (Calgary), Asia Pacific (Malaysia), and Europe (Zurich) regions. You can now create and manage Neptune Analytics graphs in these new regions and run advanced graph analytics. Amazon Neptune is a serverless graph database for connected data, improves the accuracy of AI applications, and lowers operational burden and costs. Neptune instantly scales graph workloads removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database and analytics engine that gives you the power of connected data with the enterprise capabilities and value of AWS. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.
Quelle: aws.amazon.com