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Forecasting in Metric Explorer

Overview​

Forecasting is a crucial capability offered by the Metric Explorer, allowing users to predict future values of metrics based on historical data. By analyzing past trends and patterns, the Metric Explorer provides insights into the expected behavior of metrics, empowering users to make informed decisions and take proactive actions.

The concept behind the forecasting feature involves utilizing statistical models, machine learning algorithms, and time series analysis to project the future trajectory of metrics. This enables users to anticipate trends, plan capacity, optimize resource allocation, and predict potential issues before they impact the system's performance.

Use-Case​

Practical Use Cases for Forecasting in Metric Explorer:

  1. Capacity Planning: By forecasting resource utilization, organizations can estimate future capacity requirements and ensure sufficient resources are allocated to support anticipated workloads.

  2. Service Level Management: Forecasting helps predict future service levels based on historical data, enabling proactive optimization to meet performance targets and ensure customer satisfaction.

  3. Infrastructure Optimization: Predicting future metrics, such as network traffic or server loads, allows IT teams to optimize infrastructure configurations and fine-tune resource allocation for optimal performance.

Go to Menu, Select Metric Explorer. The Metric explorer screen is displayed.

Forecast using Metric Explorer​

Add the metric trend to the metric explorer for which you want to forecast the values. After adding the metric to the metric explorer, click on .

Select Forecast to display the screen showing forecasted values.

The Metric Explorer will forecast the values for the selected metric and visually indicate the forecasted values on the trend. You can hover over the forecasted points to view detailed information about the forecast, such as the time and value of the forecasted points.