Visit Website
Sponsored
HPE Aruba Networking Management Features
What are the features of HPE Aruba Networking Management?
Functionality
- Performance Monitoring
- Alerting
- Improvement Suggestions
- Multi-Network Capability
Management
- Performance Baseline
- Data Visualization
- Path Analysis
Top Rated HPE Aruba Networking Management Alternatives
Visit Website
Sponsored
HPE Aruba Networking Management Categories on G2
Filter for Features
Functionality
Performance Monitoring | Based on 14 HPE Aruba Networking Management reviews. Continuously monitors network performance across the entire span of a network. | 92% (Based on 14 reviews) | |
Alerting | Based on 14 HPE Aruba Networking Management reviews. Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures. | 86% (Based on 14 reviews) | |
Improvement Suggestions | Suggests potential remedies or improvements to slowdowns, errors, or failures. This feature was mentioned in 14 HPE Aruba Networking Management reviews. | 83% (Based on 14 reviews) | |
Multi-Network Capability | Provides monitoring capabilities for multiple networks at once. This feature was mentioned in 14 HPE Aruba Networking Management reviews. | 88% (Based on 14 reviews) |
Management
Performance Baseline | Sets a standard performance baseline by which to compare live network activity. This feature was mentioned in 13 HPE Aruba Networking Management reviews. | 88% (Based on 13 reviews) | |
Data Visualization | As reported in 14 HPE Aruba Networking Management reviews. Charts or graphs live and historical network performance for quick status checking and analysis. | 87% (Based on 14 reviews) | |
Path Analysis | Based on 13 HPE Aruba Networking Management reviews. Gives insights into which specific network paths are performing suboptimally. | 82% (Based on 13 reviews) | |
Network Automation | Automate how physical and virtual devices are configured, handled, tested, deployed, and operated inside a network. | Not enough data | |
Network Traffic Analyzer | Record and analyze the traffic on network. | Not enough data | |
User Provisioning | Ensure that only certain users have access to a system. | Not enough data | |
Network Analytics | Analyze network data to identify trends and patterns. | Not enough data | |
Resource Maintenance | Infrom user of upgrades and repairs to network resources. | Not enough data |
Monitoring
Network Monitoring | Monitor the performance of network resources, such as switches, routers, and servers. | Not enough data | |
Network Discovery | Automatically discover network assets. | Not enough data | |
Network Asset Mapping | Build map of network resources based on dependencies and connections. | Not enough data |
Support
Real-time alerting | Notify user when network related error arise. | Not enough data | |
Hybrid Infrastructure Support | Supports cloud and LAN, including hybrid infrastructure | Not enough data | |
API Integration | Provide API and custom sensors for easy integration. | Not enough data |
Monitoring - Network Monitoring
360-Degree Network Visibility | Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing. | Not enough data | |
Automated Network Discovery | Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility. | Not enough data | |
Real-Time Monitoring | Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data. | Not enough data |
Analytics - Network Monitoring
Predictive Performance Analytics | Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance. | Not enough data | |
Packet & Flow Analysis | Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance. | Not enough data |
Security - Network Monitoring
Encrypted Data Transmission | Ensures all monitored network data is securely encrypted both in transit and at rest. | Not enough data | |
Zero Trust and Identity Management | Supports integration with Zero Trust frameworks and identity management solutions to enhance network security. | Not enough data | |
Integrated Network Security | Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time. | Not enough data |
Network Performance - Network Monitoring
Dynamic Network Optimization | Continuously analyzes and adjusts network configurations to optimize performance and reliability. | Not enough data | |
Automated Tasks Routing | Automates routine network monitoring tasks, reducing operational overhead and human error. | Not enough data |
AI Automation - Network Monitoring
Machine Learning-Based Anomaly Detection | Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate. | Not enough data | |
Self-Healing Networks | Automates corrective actions for common network issues, reducing downtime and manual intervention. | Not enough data | |
Predictive Network Maintenance | Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur. | Not enough data |
Agentic AI - Network Monitoring
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Network Management Tools
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
