Want to understand your system behavior as well?
Ready to gain deep insights into why your systems behave the way they do? Connect with our team today to try Causely and see how it can help you understand your system behavior.
This page explains how Causely provides deep insights into why your systems behave the way they do by building a causal model of your entire environment and making it queryable.
Once you've installed Causely, the system automatically generates your topology graph and builds a comprehensive understanding of your system's behavior and relationships. For more details on how Causely builds this understanding, see How Causely Works.
The Topology view provides a comprehensive view of your entire system. You can explore:
This topology graph forms the foundation for understanding system behavior, blast radius analysis, root cause attribution, and cross-service impact modeling.
Use Ask Causely to query your system's behavior using natural language. Ask questions like:
Causely uses its causal model and topology graph to provide intelligent answers about your system's behavior, helping you understand not just what happened, but why it happened.
To gain deeper insights into your system:
Connect more telemetry: Add additional telemetry sources to provide more comprehensive coverage. More telemetry means a more comprehensive topology graph and better causal insights.
Configure scopes: Set up scopes to organize your entities and focus on specific parts of your system.
Use Ask Causely regularly: Regularly query your system to build familiarity with how it behaves and to identify patterns and relationships.


Ready to gain deep insights into why your systems behave the way they do? Connect with our team today to try Causely and see how it can help you understand your system behavior.