Advanced Video Analytics Driven by Automated AI/ML

IDP Insights

Reduce data overload, pinpoint behavioral outliers and accurately predict future performance impacts

IDP Insights continuously sort through millions of telemetry data points, identifying performance anomalies and generating a Zixi Health score that accurately predicts future channel performance. IDP Insights enables users to confidently scale and launch new services without dramatically increasing operational monitoring overhead.

*_{Organize channels with Zixi IDP Health scores, AI/ML predictive analytics that accurately predict possible future outages and enable operator and programmatic response.}*

Anomaly Detection & Smart Alerting

IDP Insights simplify complex data in easily actionable dynamic visualizations that help operations teams more rapidly and accurately identify trends, outliers and anomalies that previously would’ve been difficult to find.

Simplify many dimensions of metric data in to easily understood & meaningful visualizations
Identifies normal behavior and alerts you of anomalies
Generate customized notifications and preferences to fit your needs
Engineers can pinpoint performance outliers faster, continuously improving operations

*_{IDP Insights simplify complex data in intuitive visualizations that make it far easier to identify and action against behavioral anomalies and performance outliers.}*

Predictive Analytics Health Score

IDP Predictive Analytics Health Score analyzes hundreds of discreet metrics to identify patterns that are associated with increased risk of outage. Zixi’s unique machine learning algorithms are continuously and iteratively refined with new data and correlation analysis, constantly improving the accuracy and lead time of outage predictions.

A numerical value, based on 100+ correlated measurements per source
Health score is computed by a machine learning model
Indicates the prevalence and likely impacts of specific metric deviations

*_{View how channel health changes over time and what factors are contributing to the changing health.}*

IDP Incidents

Automate incident detection, dramatically increase remediation performance and lower RCA costs

IDP Incidents automatically detects and generates incident lists, specifying incident time and likely cause. IDPs AI/ML analysis more rapidly identifies anomalies often missed by humans and IDP automatically builds shareable RCA reports complete with visualization across all relevant KPIs and impacted objects.

Automated Incident Detection

Automates incident detection building correlated multi-object incident reports
Track and sort incidents across time, infrastructure segment, channel objects and impacted services
Attribution yield provides deeper root cause insights and faster resolution times

RCA Reporting

IDP automatically generates highly detailed and user shareable RCA reports per incident
Correlates time aligned KPIs, logged events, alerts and likely causes in to a shareable report format
Users can manually augment the automated report, filling in additional details and notation
Significantly improves MTTR while dramatically reducing costly RCA processes

_{Incidents are programmatically detected and comprehensive reports are automatically generated. Time-series data graphs of critical KPIs, log messages, operator notes and other details are packaged into shareable RCA reports that greatly accelerate identifying and remediating incidents.}

IDP Impacts

Detailed analysis that visualizes impacted infrastructure and channels

IDP Impacts provide graphical representations that show how performance anomalies impacted video delivery over time. Removes ambiguity about what services may have been impacted while providing operations teams and business owners instant analysis they can use to remediate future incidents.

IDP Impacts with Zixi Blast Radius

Interactive channel graph that presents health across the media supply chain
Tracks how performance changes in one object impacted other objects
Correlates infrastructure and logical channel objects in to a common graph
Users can navigate over time to see how quickly incidents and fixes propagate through the supply chain

*_{Zixi Blast Radius graphically represents video flow from sources to target destinations presenting a time-aligned impact analysis.}*

Multi-Object Correlation Analysis (MOCA)

Zixi IDP includes multi-object correlation analysis, or MOCA

MOCA automatically analyzes incidents across all channel sources and target destinations. Incidents that share a common attribute are correlated, helping operators rapidly identify probable root causes and understand their impacts across seemingly unrelated channels.

Correlation Analysis

Identifies common cause across channels
Analysis summarizes incident attribution across channel objects, including shared source networks, server networks and/or broadcasters
Greatly speeds up root cause analysis (RCA)
RCA reports with correlation analysis automatically generated complete with corresponding time frames and time-aligned metric graphs

Learn more about MOCA

_{MOCA analyzes resources that have active incidents and automatically detects correlated attributes, such as a shared server network that is contributing to a high failure rate for channel targets that are using that network.}

Zixi Quick Dive on the Challenges of Live Video over IP

Zixi’s IDP simplifies operations, increases application availability and significantly improves incident resolution performance.

New Feature Overview

Zixi Senior Director of Product Management, Andrew Broadstone, provides a detailed overview of the new multi-object correlation analysis available within IDP.