Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Issue page revamp for NRAI #19790
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Issue page revamp for NRAI #19790
Changes from all commits
0497784
884f236
4ed82f2
987d7d9
9865cc2
87066bc
0ded11d
1ab7e28
67beb49
7884805
d121f07
File filter
Filter by extension
Conversations
Jump to
There are no files selected for viewing
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
After this pararaph, please add the following:
Overview
The causal analysis engine identifies potential symptoms that might have triggered an alert event and suggests immediate mitigating actions to address them.
Consider a scenario where a PHP application encounters a memory leak, leading to a failure in the throughput SLI and triggering an alert. Our engine investigates by moving from the service level to the APM application and then to the infrastructure container to detect the symptom.
How does the engine work? The causal analysis engine uses distinct analysis categories, such as deployment events, infrastructure resource limits, and more. Each category is designed to address various potential sources of anomalies and performance issues. These categories focus on specific data types and metrics, enabling precise analysis and more accurate identification of causal relationships.
At the moment, we’re primarily focused on APM entity causal analysis. In the near term, our plan is to include infrastructure, Browser, among other entity types.
Mitigating actions & visualizations
For every identified potential cause, the engine offers tailored mitigation actions that guide users through the necessary steps to quickly restore services and entities to their normal operational states. We recognize that many of our customers typically rely on NRQL to analyze significant queries, hence we provide relevant visuals alongside the underlying query for each cause.
New Relic AI generated analysis
In some scenarios, our causal engine may not identify an algorithm-driven cause. However, we have insights that can be utilized with LLMs to offer you actionable steps. Customers interested in this capability must have the New Relic AI entitlement enabled.