VIA AIOps with Cisco Network Automation is an integrated service‑assurance solution designed to detect, analyze, and remediate service‑impacting issues across applications, infrastructure, and networks. It ingests metrics, logs, events, and traces from diverse sources and performs real‑time analysis to reduce noise, detect anomalies, and determine probable root cause. The solution provides dependency discovery, full‑stack observability, persona‑based views, and predictive analytics. Integrated with Cisco NSO, it enriches events with service context, supports closed‑loop remediation, and simplifies multivendor device configuration. By correlating service and infrastructure layers, it accelerates detection and resolution, reduces operational costs, and improves service performance.

Key Features

Full‑Stack Observability Provides unified visibility across applications, network, and infrastructure.

• Displays persona‑based dashboards dynamically
• Supports ad hoc analysis for detailed investigation

Advanced AI and Machine Learning Reduces alert noise, detects anomalies, and identifies root causes.

• Automatically selects optimal algorithms
• Learns continuously to adjust baselines

Real‑Time Analytic Pipeline Processes and enriches streaming data at scale for rapid diagnosis.

• Correlates events instantly across layers
• Identifies probable root cause in real‑time

Unified Data Collection Accepts metrics, logs, events, traces, and nonstandard formats.

• Ingests new data without custom parsing
• Eliminates manual development for data onboarding

Cisco NSO‑Driven Service Context Integration Enhances analysis with service attributes and lifecycle updates.

• Enables accurate service‑impact characterization
• Supports closed‑loop assurance and configuration automation

Multivendor Closed‑Loop Automation Automates remediation tasks seamlessly across device types.

• Simplifies configuration workflows
• Ensures consistent automated response

Benefits

Faster Detection and Resolution Identifies issues in seconds and accelerates remediation.

• Reduces mean‑time‑to‑detect and repair
• Avoids prolonged customer impact

Reduced Operational Noise and Cost Filters false positives, deduplicates alerts, and lowers manual workload.

• Decreases unnecessary technician dispatch
• Streamlines team collaboration

Improved Customer Experience Enhances service reliability using predictive analytics.

• Reduces failure rates and interaction with support centers
• Improves service stability across domains

Supports Scalable, Cloud‑Native Environments Designed for complex, high‑volume, hybrid infrastructures.

• Handles billions of data points
• Adapts to dynamic, multivendor networks