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Finding a needle in a haystack

Having abundant KPIs is a good thing, but how do you make sense of them?

The good news is you’re generating KPIs for every service in your network—100% service visibility. The bad news is you’re now being swamped with KPIs—200,000 services generating 5 real-time KPIs per second means you’re generating 1.44 billion KPIs per day! With this volume of data, detecting major service issues could be challenging for a human. But what about trying to find services that are just starting to trend towards problems or looking at trends in utilization that could trigger network expansion?

This is where big-data analytics shines. Making sense of a sea of data means looking for subtle changes in KPIs that may otherwise go undetected. And being able to correlate changes in KPIs across many, possibly unrelated, services can lead to network insights that would have otherwise been hidden. Proactively detecting and managing changes in both network and services is the key to data-driven operations.

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White papers
Searching for clues to infrastructure failures (July 11, 2018)
White papers
Multi-dimensional analytics (April 6, 2018)
Real-time network & service mapping: why wait for NFV? (April 18, 2019)
Four steps to a higher network IQ! (July 16, 2019)
White papers
Deliver superior quality of experience through accurate one-way delay assurance. (March 15, 2018)
Success story
Using real-time 3D analytics to help Canadian CSP meet SLA targets (December 9, 2019)
Ten interesting facts about network outages (January 15, 2020)