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Exploring nodes using text prompts in Amazon Q

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Exploring nodes using text prompts in Amazon Q - AWS Systems Manager

Using Systems Manager integration with Amazon Q Developer, you can use text prompts to view information created by generative AI about your managed nodes.

Amazon Q Developer is a generative AI-powered conversational assistant that can help you to understand, build, extend, and operate AWS applications. To accelerate your building on AWS, the model that powers Amazon Q is augmented with high-quality AWS content to produce more complete, actionable, and referenced answers. For more information, see What is Amazon Q Developer? in the Amazon Q Developer User Guide.

The integration between Systems Manager and Amazon Q lets you quickly get visibility and control over large, distributed environments across multiple AWS accounts and Regions. You can use natural language querying to quickly search node data, and then identify issues and take action faster.

When you ask a natural language question about managed nodes or managed instances, Amazon Q uses the Systems Manager ListNodes action and creates filters based on your textual input to retrieve results.

For example, say that you give Amazon Q the following prompt:

List my managed nodes running Red Hat Enterprise Linux 9.2

Amazon Q determines what filters to include in a request, and then runs a query similar to the following:

aws ssm list-nodes \ --filters Key=PlatformName,Values='Red Hat Enterprise Linux',Type=Equal Key=PlatformVersion,Values=9.2,Type=Equal

Amazon Q then generates a report about Red Hat Enterprise Linux instances in your account, listing information such as the number of instances, their IDs, and their Regions.

You can also view a JSON summary of each instance's details, as well open a link to view the entire lists of EC2 instances or managed nodes in the Systems Manager Explore nodes page. The Explore nodes displays results that match the filter criteria you included in your prompt. From there, you can change or refine the filters for your request, as described in Exploring nodes.

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