Adapting AIOps Models for Multi-Cloud Computing Systems
Abstract:
Mechanisms are provided for migrating an application to a new cloud computing system. A causal model is generated based on configuration parameters for a first cloud computing system, monitoring data collected for an execution of the application in the first cloud computing system, and an inserted causal layer. Chaos engineering logic is executed on the causal model to perform a fault injection on the configuration parameters to emulate a second cloud computing system configuration. A mapping, by the causal layer, of the configuration parameters to the monitoring data is learned based on the fault injection. An artificial intelligence for information technology operations (AIOps) model is updated, based on the learned mapping of the causal layer, for monitoring the application execution in the new cloud computing system. The updated AIOps model is provided to an observability tool executing on the new cloud computing system.
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