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Overview
Zero Incident Framework is a leading AI platform for IT Operations that pivots operations from reactive incident response to proactive prediction. Despite the platform's limited integrations, it delivers value by improving mean time to resolve (MTTR). Its capability to automate complex remediation makes it an essential tool for IT enterprises.
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Starting Price
Custom
Zero Incident Framework Specifications
Smart Data Discovery
Self-Service Dashboards
Automation
Predictive Capabilities
What Is Zero Incident Framework?
Zero Incident Framework software (ZIF) is an enterprise-grade AIOps platform designed to help organizations achieve a truly zero-incident enterprise. It acts as a sophisticated big data engine, ingesting vast real-time telemetry from IT infrastructure. The software uses patented machine learning algorithms to predict future outages, empowering IT teams to focus on strategic tasks.
Zero Incident Framework Pricing
Disclaimer: The pricing has been sourced from third-party websites and is subject to change.
Zero Incident Framework Integrations
Who Is Zero Incident Framework For?
The software is ideal for several industries and sectors, including:
- Telecom
- Manufacturing
- Healthcare
- Information technology
Is Zero Incident Framework Right For You?
If you are seeking a genuine transformation, leveraging patented predictive analytics to ensure superior application reliability and uptime, then the Zero Incident Framework might be a suitable choice. It is ideal for large, complex enterprises seeking to reduce the mean time to resolve (MTTR).Still have concerns about Zero Incident Framework software? Contact our customer support experts at (661) 384-7070, who will address all your queries to help you make an informed decision.
Zero Incident Framework Features
Zero Incident Framework software enables the AIOps platform to intake real-time telemetry from all connected monitoring tools and infrastructure endpoints. It ingests diverse data types seamlessly, providing the necessary comprehensive visibility for subsequent, advanced machine learning analysis.
Insights derived from platform analytics are clearly displayed as widgets, offering both business and operational insights. Users can customize and arrange these widgets on dashboards, allowing floor engineers and managers to track activities and landscape views effectively.
ZIF features predictive analytics tools that utilize unsupervised machine learning to anticipate potential failures and performance degradation in applications or devices. By continuously learning from data patterns, the platform creates opportunity cards that prompt operations teams to take proactive action before disruptions occur.
The functionality uses unsupervised learning to process aggregated data from multiple external tools. It identifies unique, recurring patterns, clustering them into high-priority cases and drastically reducing alarm fatigue for the IT operations team.
The software automatically clusters correlated events and alerts as distinct cases, each assigned a unique ID for tracking. The case description clearly displays the probable root cause, enabling operators to quickly analyze the issue and take the appropriate actions according to established procedures.
