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After ingesting and exploring your NGINX data, we will walk users through common, real-world use cases for their data.
After some discussion with interested logs parties, the first use case is using the machine learning module included with the integration to identify anomalies and unusual activity in access logs. It's important to show not only the types of anomalies that can be detected, but also what those anomalies might mean and where users can do after detecting them.
After ingesting and exploring your NGINX data, we will walk users through common, real-world use cases for their data.
After some discussion with interested logs parties, the first use case is using the machine learning module included with the integration to identify anomalies and unusual activity in access logs. It's important to show not only the types of anomalies that can be detected, but also what those anomalies might mean and where users can do after detecting them.
Relevant docs:
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