Investigating data with log rate analysis

This recipe is the first of three where we will cover the artificial intelligence for IT operations (AIOps) capabilities of the Elastic Stack. AIOps can be summed up as the application of various machine learning techniques to IT operations with the goal of ultimately enabling teams to respond more quickly and proactively to issues and outages.

Within the stack, AIOps is part of the broader ML capabilities and provides features that leverage advanced statistical methods to understand data trends and behavior.

In this recipe, we’ll focus on the log rate analysis feature and learn how we can apply it to detect the reasons behind decreases or increases in the log rates.

Getting ready

To follow along with this recipe, you’ll need an up-and-running Elastic deployment with Elasticsearch, Kibana, and an ML node. To spin up a cluster on Elastic Cloud refer to the Installing the Elastic Stack on Elastic Cloud recipe in Chapter...