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Metric Analysis

Overview​

In today's IT and business landscape, machine learning plays a crucial role. However, many businesses and IT leaders find it challenging to develop a strategy to leverage these cutting-edge techniques to their advantage.

Motadata AIOps aims to improve the lives and businesses of others through their expertise in machine learning technology. By using machine learning technology, organizations can make data-driven decisions from complex data sources and enhance their capabilities.

Use-Case​

Motadata AIOps provides a powerful metric analysis tool that enables users to understand the data in a way that can drive better business relationships with their IT teams. By analyzing a certain set of metric values, users can check how they compare to other metrics, how their values have changed over time, when they are showing sudden changes in their values, and even predict their values and behavior in the future.

Here are some examples of how Metric Explorer can help users:

  1. To reduce false positives, a user can configure an alert for anomalous behavior of one of the metrics for a monitor. The user can access a tool that enables them to understand historical metric patterns to identify the best possible algorithm to configure the policy and thus have a better alert posture.

  2. A user can identify an anomaly in a specific application metric and wants to locate the root cause of the issue. They can use metrics correlation functionality to locate similar behavior in other infrastructure stacks and identify the probable root cause of the anomaly.

  3. A user might want to do some analysis on a given set of data points for a metric. Before starting the analysis, they might want to remove the outlier points to have a filtered dataset that enables more efficient and accurate analysis.

  4. An IT admin preparing for a release wants to understand the infrastructure stack resource utilization from the past and then forecast future required resources based on the historical behavior.

These are some of the questions that call for a tool which enables you to view past, predict future, compare, co-relate, and find anomalous metric behaviour thus enabling a comprehensive metric analysis of the monitors in your infrastructure. Motadata AIOps enables you to acheive all this through Metric Explorer.

Metric Explorer is a metric exploration board which uses next-gen machine learning algorithms like anomaly, outlier, and forecast. This is one of the many ways in which Motadata AIOps provides value to the clients by lending machine learning expertise to answer client-specific questions.

This machine learning enriched dataset of metrics enables you to easily understand your IT infrastructure needs by comparing it to other similar datasets of metrics, the value of these metrics from the past, and even go on to forecast their values.

Let us explore this in more detail in the next section.