Extract business and application intelligence with AI and data analytics

Slick dashboards and the occasional snapshot detail are no longer enough to pinpoint the often subtle and interdependent causes of application performance issues. Today’s IT performance investigator needs to be equipped with better and more complete diagnostic data, and with a variety of analytics tools to pivot and visualize the data from a number of different perspectives.

With SteelCentral AppInternals, you can quickly surface insights and proactively resolve issues before business is impacted. Using intuitive queries, machine learning algorithms and innovative visualizations, you’re only two clicks from an answer to virtually any performance question.

White Paper

What is AIOps? The Four Dimensions of Artificial Intelligence for Operations (AIOps)



The Future of APM: It’s Bigger, Smarter and More Integrated Than Ever

White Paper

Solution Brief

Riverbed Solutions for AIOps

AI and machine learning

  • Leverage high definition metrics and complete diagnostics data for accurate analysis
  • Be proactive with automated anomaly detection that alerts you to unusual performance behavior before end user SLAs are breached
  • Surface unsuspected issues with pattern recognition based on performance “clusters” and “correlations” to identify groups of related transactions and metrics, and quickly find the needle in the haystack

Business-relevant insights

  • Use simple queries applied to transaction records with full user and business payload detail, indexed across billions of transactions, to quickly generate business-relevant reports, compare historical performance, or drill down for further analysis
  • Prioritize the development efforts that will have the most overall business impact by identifying the backend components implicated in the most important transactions, by processing time, volume or financial value
  • Enhance troubleshooting with fully integrated log analysis that allows you to easily search across application log messages, immediately see which methods generated the errors or exceptions, and identify every business transaction and user that was impacted

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