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Accelerate issue resolution with process automation

Resolving performance issues faster with AI, ML, and real-time analytics

Becoming more efficient in addressing the time spent on troubleshooting and root cause analysis is more difficult with the emergence of more dynamic complex environments with more volume, variety, and data velocity.

Digital Enterprise Journal reported that:

  • 72% site time and resources spent on resolving performance issues as a top challenge
  • $1.27 million spent on average annually on incident escalations that could be avoided
  • $36.34 million loss on average annually due to the inability to proactively prevent performance issue       
  • Source: Digital Enterprise Journal

Measurable KPI Improvement with VIA AIOps

End-to-End Service Assurance with VIA AIOps

VIA transforms incident management, application monitoring, application performance management, network monitoring, and network performance management through process automation and augmented intelligence

AIOps for content streaming customer support funnel
AIOps for content streaming customer support funnel
AIOps for content streaming customer support funnel

VIA AIOps Features

Learn more about VIA AIOps key features by clicking the feature icons.

  • Scales to billions of analyzed data points
  • Supports mission critical applications reliably
  • Enables integration with existing service management and monitoring systems
  • Collects, enriches and analyzes streaming data in real time
  • Supports cloud and traditional environments for fault and performance management 
  • Dynamic analysis and root cause identification across vertical and horizontal applications and workload layers
  • Makes existing systems and fix agents more efficient with intelligent and timely insights
  • Integrates with incident management systems and existing tools
  • Uncovers the how and why of system behavior to enable active response
  • Creates comprehensive ontology through learned and taught application and service dependencies
  • Provides advanced anomaly detection using intraday seasonal baselines computed automatically for metrics and event streams and updates coninuously with new data
  • Captures signals and outliers that simple threshold boundary conditions miss
  • Identifies behavioral changes and finds the root cause through affinity analysis that goes far beyond temporal correlation to include ontological overlap
  • Determines if events and signals are related and whether they should be treated together as a single incident or separately through AI-powered correlation and affinity analysis
  • Combines Artificial Intelligence and human intelligence changes to further optimize system performance
  • Intuitive and dynamic UI with persona-based views
  • Delivers the best information at the right times to the right people
      • Dashboard, graphic and table views
      • Flexible and dynamic ad hoc forensic analysis
      • Views created automatically within minutes based on the situation, issue, or incident
    • Accepts metrics, logs, event and trace data
        • Ingests data via native connectors from applications, network and monitoring tools
        • Onboards raw data in standard and non-standard formats
    • Collects and runs data in cloud-native environments from a wide range of sources
    • Ingests never before seen data in less than one hour with VIA’s Streaming Onboarding
        • Does not require data to fit a specific data model or data specifications
        • Eliminates the development of thousands of lines of code to ingest and parse data sets
    • Automates the preparation and capture of MIB data for use in fault and performance management

    VIA AIOps End-to-End Service Assurance

    VIA AIOps use case

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    See the VIA AIOps difference for yourself. Learn how you can create the service experience your customers tell their friends about – an experience that keeps them coming back.