Amazon announces generative AI-based artifacts in Amazon Q Developer for visualizing resource and cost data

Today, AWS announces the general availability of Amazon Q Developer artifacts in the AWS Management Console. Amazon Q artifacts is a generative AI-based user experience that enables customers to visualize resource data in tables and cost data in charts. The launch also moves the Q icon to the navigation bar and the chat panel to the left, making Amazon Q easier to use and find.

Customers can access Amazon Q artifacts by selecting the Amazon Q icon from the navigation bar in the AWS Management Console. They can ask questions about their AWS resources to understand the state of their resources and costs using Amazon Q artifacts. For example, on asking “List S3 buckets with tag value production”, Amazon Q displays the S3 buckets that has a tag value of production in a tabular format. Customers can then select the hyperlinks on the bucket name to view the bucket details in the S3 console. Customers can also visualize cost and billing information with charts. For example, on entering “Show me RDS costs by instance type over the last 6 months”, Q will render the response in a Q artifacts using a chart (e.g., bar graph, line chart, pie chart, or area chart). Customers can also use sample prompts in the Prompt Library in the Amazon Q chat panel to get started quickly. The artifacts are displayed in an artifact panel next to the Amazon Q chat panel, which is now on the left. Users can expand Amazon Q to full-screen for a dedicated focus mode experience.

The Amazon Q Developer artifacts are available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer documentation.

Categories: marketing:marchitecture/management-and-governance,marketing:marchitecture/management-tools,marketing:marchitecture/artificial-intelligence

Source: Amazon Web Services

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