Discovery

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Hybrid Discovery: Automatically identify IT infrastructure across hybrid environments, including on-premises and cloud. The system scans networks and platforms like AWS, ensuring a complete asset inventory. This supports compliance with accurate documentation.

Real-Time Updates: Maintain an accurate inventory with real-time updates reflecting changes instantly. The system continuously monitors the environment, updating the CMDB to reduce discrepancies. This ensures reliable data for IT operations.

Seamless Integrations: Support cloud and on-premises discovery with integrations to platforms like Azure. The system pulls in detailed data via APIs, simplifying hybrid management. This ensures comprehensive coverage of all IT assets.

Enhanced Visibility: Enhance visibility with detailed asset data on intuitive dashboards for insights. The system displays metrics like status and dependencies, aiding decision-making. This helps IT teams manage infrastructure effectively.

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Service Mapping

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Dynamic Mapping: Visualize service dependencies with real-time mapping that updates automatically. The system shows how services interact, aiding in impact analysis. This ensures accurate planning and reduces change-related risks.

Impact Assessment: Assess the impact of failures on business services using dependency maps. The system identifies affected areas, helping prioritize responses effectively. This minimizes disruptions to critical operations.

Auto-Updates: Auto-update maps to reflect infrastructure changes instantly for accuracy. The system detects new configurations, ensuring maps remain current without manual effort. This reliability supports effective troubleshooting.

Troubleshooting Support: Enable precise troubleshooting with dependency insights to pinpoint issues. The system highlights impacted services, reducing downtime through faster resolution. This improves overall service quality and uptime.

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Event Management

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Event Correlation: Correlate events in real-time to prioritize critical issues affecting services. AI groups related events, reducing noise and focusing teams on key problems. This improves response times and service stability.

Alert Consolidation: Reduce alert fatigue with intelligent event consolidation into actionable incidents. The system groups related alerts, streamlining monitoring for IT teams. This ensures focus on high-impact issues without overwhelm.

Monitoring Integration: Integrate with tools like Splunk for unified event handling and visibility. The system centralizes alerts, improving oversight and response times. This simplifies incident management across the organization.

Automated Escalation: Automate escalations to notify the right teams instantly for faster resolution. The system uses rules to prioritize critical events, ensuring timely action. This minimizes disruptions and maintains service levels.

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Operational Intelligence

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Predictive Analytics: Predict issues using AI-driven analytics to identify problems early. The system analyzes trends, providing insights to prevent disruptions proactively. This ensures service reliability and reduces downtime.

Anomaly Detection: Detect anomalies with machine learning for proactive IT management. The system flags unusual patterns, allowing teams to intervene before escalation. This minimizes disruptions and enhances operational stability.

Actionable Insights: Optimize operations with actionable insights from data analysis for improvement. The system recommends adjustments, enhancing performance and efficiency. This supports continuous improvement in IT operations.

AIOps Integration: Integrate with AIOps platforms for enhanced monitoring and automation. The system leverages AI to streamline operations, improving service reliability. This ensures a proactive approach to IT management.

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