PLATFORM • ANOMALY DETECTION

Detect abnormal system behavior

Real-time anomaly detection provides valuable insights so you can take immediate action.

Isolating issues or waiting for a ticket isn’t enough. Comprehensive anomaly detection powered by machine learning delivers proactive identification of system problems. So, you can drill down to their root causes before they become incidents or outages.

Track what’s normal and respond to what’s not

Spot issues in real time with smart dashboards that focus your attention on the real issues affecting your systems.

Get the information you need to track down the real problem affecting your system so you can fix it.

Act faster with relevant data and contextual alerts delivered how (and where) you want them.

Monitor your way

Establish a baseline and set alerts for unexpected changes or performance regressions.

Detect behavior changes from the network all the way up to your applications – you’ll see anomalies in metrics, logs, and events.

Account for seasonality and/or time-based historical analysis.

Use ChatOps to conversationally query the health of your systems, and smart dashboards to visually identify problems.

Prevent customer-impacting issues

Find and solve problems before your customers notice them.

Upgrade infrastructure and applications with confidence that regressions will be spotted quickly.

Cut down on ticket generation.

Our priority at NBC Sports is delivering uninterrupted coverage as we broadcast live action from sporting events across the globe. In order to serve our viewers, we have to rapidly build entire new networks no matter where in the world the events are taking place. Over the last two years, Selector Analytics has provided valuable insights on configuration changes and network analytics.

Harry Ryan
Senior Director of Network Technologies, NBC Sports