Augment AIOps With Service-Dependency Models From Zenoss

Add rich context to AIOps events to gain insights into your IT services.

What is AIOps?

AIOps stands for artificial intelligence for IT operations. At a high level, AIOps tools work to reduce alert noise when event storms occur. They do this by performing real-time analysis on mass quantities of event data and inferring probable root causes based on data analyzed from previous issues. They are not designed to tell you how issues with a given system may affect IT services or applications. AIOps tools are not service-centric and have no concept of real-time models.

AIOps tools also rely almost solely on processed event data. The strengths of most AIOps tools are in the analytics, while the shortcomings are usually associated with the blind spots that come from having limited visibility into metrics, model and other types of data.

Augment AIOps Tools With Service-Dependency Models

Zenoss Cloud lets you combine the probabilistic AIOps event correlations with root-cause analysis informed by definitive service-dependency models, eliminating guesswork when investigating IT incidents. The net result is definitive, dynamic Zenoss IT service modeling enriched with intelligently analyzed event data from AIOps tools.

Zenoss Cloud is the first intelligent IT operations management platform that streams and normalizes all machine data, uniquely enabling the emergence of context to prevent service disruptions in complex, modern IT environments.


AIOps and Monitoring - The Best of Both WorldsGet Reliable, Actionable Insights

  • Contextualize the wave of IT data within the certainty of our service-dependency model, and remove the guesswork of pattern matching
  • Easily identify root cause of novel IT incidents even when they can’t be pattern matched to prior occurrences
  • Reduce mean time to resolution (MTTR) by sorting through noise with machine learning, visualization, retrospective analytics and dashboards
  • Get enriched context for key events from AIOps tools for pinpoint accuracy

Eliminate Blind Spots

  • Get full visibility into IT service relationships and dependencies through real-time modeling that AIOps solutions can't provide
  • Augment insufficient log and event data used for AIOps correlation with rich metrics from every system constituting every IT service
  • Merge logs, events, metrics, model data and more in a single contextualized view

Streamline Enterprise IT Performance

  • Apply machine learning to the most comprehensive data set, far beyond AIOps tools alone
  • Provide your IT Ops team with advanced analytics that help organizations deliver streamlined performance and make proactive decisions
  • Leverage predictive analytics to identify issues before they lead to downtime or service degradation
  • Immediately identify issue root causes

Infrastructure Telemetry Meets Machine Learning: AIOps at Cloud-Provider Scale    WATCH THE WEBCAST

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