Action recommendation
Site Reliability Engineers (SREs) are the glue that holds the application together and are essential to keeping the product up and running at all times. It is critical for them to keep the Mean Time to Repair (MTTR) as low as possible.
When incidents or issues occur, the action framework provides the following algorithms or integrations to match actions to incidents.
NLP (Natural Language Processing)
When an incident or issue occurs, an event signature is created to match against action signatures in the catalog. The signature includes the name, description, entity type, and tags. A score is normalized and grouped into a confidence score category of High, Medium, and Low. The highest confidence score appears first in the table.
To increase the confidence score of an action to event, add tags to the action definition that better align with the details of the event.
Event similarity
When an incident or issue occurs and there are no action recommendations, this algorithm uses NLP to match to other events. If the event has a high score and is associated with an action, the action is recommended based on the event-to-event score.
Turbonomic
When an incident or issue occurs and the Turbonomic integration is enabled, Turbonomic suggests action recommendations. For more information, see Integrating Turbonomic with Instana.
Intelligent remediation with watsonx
When an incident or issue occurs for a supported built-in event type, a "Generate with watsonx" link appears on the "Recommended Actions" tab to allow generation of a new action based on AI-recommendations specific to this event.
Clicking the link opens a multi-page dialog.
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On the first page, there is a list of watsonx-generated and curated actions that are created for the event. Select an action and continue to the second page.
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On the second page, you can customize the new action. Customizations include adding a name, description, tags, and updating the action content. When finished, continue to the third page.
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On the third page, you can configure the new policy. For more information, see Automation policies.
After you click Create, a new manual policy is created. From the policy tab, you can view the action.
Please note: The watsonx based recommendations cannot be directly used in a policy. They can be copied and curated into a new actions, and then added to a new policy.