AWS Machine Learning Blog
In this post, we show you how to create an AI-powered, event-driven operations assistant that automatically responds to operational events. The assistant can filter out irrelevant events (based on your organization’s policies), recommend actions, create and manage issue tickets in integrated IT service management (ITSM) tools to track actions, and query knowledge bases for insights related to operational events. <replace with your Slack app verification token> SLACK_ACCESS_TOKEN=<replace with your Slack Bot User OAuth Token value> Deploy the solution using the AWS CDK Deploy the processing microservice to your worker account (the worker account can be the same as your administrator account): In the project root directory, run the following command: cdk deploy --all --require-approval never Capture the HandleSlackCommApiUrl stack output URL, Go to your Slack app and navigate to Event Subscriptions, Request URL Change, Update the URL value with the stack output URL and save your settings. Test the solution Test the solution by sending a mock operational event to your administration account . Run the following AWS Command Line Interface (AWS CLI) command: aws events put-events --entries file://test-events/mockup-events.json You will receive Slack messages notifying you about the mock event followed by automatic update from the AI assistant reporting the actions it took and the reasons for each action. You don’t need to manually choose Accept or Discharge for each event. Try creating more mock events based on your past operational events and test them with the use cases described in the Use case examples section. If you have just enabled AWS Security Hub in your administrator account, you might need to wait for up to 24 hours for any findings to be reported and acted on by the solution. AWS Health events, on the other hand, will be reported whenever applicable. Clean up To clean up your resources, run the following command in the CDK project directory: cdk destroy --all Conclusion This solution uses AI to help you automate complex tasks in cloud operational events management, bringing new opportunities for you to further streamline cloud operations management at scale with improved productivity, and operational resilience. To learn more about the AWS services used in this solution, see: Concepts for AWS Health Understanding how findings work in Security Hub Agents for Amazon Bedrock About the author Sean Xiaohai Wang is a Senior Technical Account Manager at Amazon Web Services. He helps enterpise customers build and operate efficiently on AWS.
Published: 2024-10-11T19:47:24
