Analytics

The Capacity Forecast analytic determines the “time‐to‐zero” period for an entity’s key metrics to reach capacity using trend estimates based on long‐term historical usage data. It flags each key metric whose time‐to‐zero period is less than specified thresholds.

Before you can begin analyzing for capacity forecasting, you must collect at least three days’ worth of data. The Integration cannot access capacity information from before the integration was installed.

Capacity Forecast analyzes the following metrics to provide capacity reporting and planning information.

This analytic provides a list of events across your infrastructure, prioritized by most impactful to your infrastructure so you know which events are most critical to address. Use the output with Trend Matcher for root cause analysis.

Event Advisor also enables you to specify an entity and a timeframe, and it provides a prioritized list of potentially interesting events and time periods (spikes, relevant performance issues, anomalous behavior, etc.) that require attention, ranked by magnitude and duration.

The Trend Matcher analytic correlates user‐selected trends (for example, unusual events like spikes or dips) to other related activity in the environment. Use this information in root cause analysis to determine how entities in your infrastructure impact each other.

This integration supports the Capacity Auditor analytic, which provides analysis and information on storage utilization and capacity. Top-level storage entities (e.g., storage array, cluster) are considered when running the analytic, unless those entities are filtered out by the user.