Analytics

Analytics help your organization work faster and smarter. You can proactively manage and solve simple and complex IT operations problems by using the provided capabilities, such as log analytics and anomaly detection.

Log analytics

HPE Operations Bridge Suite helps your organization turn volumes of raw data into actionable insight by unifying search, reporting, alerting, and analysis across all types of IT data. Generate insights from the data in your IT environment that you choose to collect by using log analytics.

To find the root causes of problems, use the Operations Bridge Suite capabilities to prepare, predict, and pinpoint:

  • Prepare. Collect and use all your data in a Big Data based system
  • Predict. Identify trends as they happen by using predictive analysis
  • Pinpoint. Pinpoint root causes of events that cause a problem in your IT network

Log analytics help to pinpoint — identify the root cause of a problem by creating a list of the top suspected log messages and displaying them visually in a pane.

Anomaly detection

Identify and fix problems before they happen with HPE Operations Bridge Suite's anomaly detection.

Use the anomaly alerting capability to avoid severe business impacts by being aware of anomalies before they become an issue for your network environment.

As part of the predictive analytics capability, anomaly detection learns and analyzes the metric behavior in order to detect when a metric is critically above or below the specified baseline. Alerts are generated once an anomaly is detected.

Log streaming

HPE Operations Bridge Suite offers you a unified and robust mechanism to collect, process, and stream application logs in your IT environment. You no longer need to use third-party systems to collect and stream logs. Operations Bridge can collect and stream logs to multiple targets, for example, Operations Bridge Analytics. Operations Bridge Analytics can use these logs to predict trends and pinpoint issues in your IT environment.

Enable Log Streaming to:

  • Collect: Collect and consolidate data from diverse data sources.
  • Process: Normalize the consolidated data. For example, with value maps.
  • Stream: Forward the logs to the required target.

The following figure shows a high level work flow for log streaming: