Tech Innovation > Networking > Edge Visibility & Performance Monitoring Cyber
Edge Visibility & Performance Monitoring Cyber
In the digital era, businesses rely heavily on network performance to support their operations. This solution ensures visibility and optimal network performance across the entire infrastructure.
Edge Visibility & Performance Monitoring provides real-time insights into networks and applications, helping organizations optimize user experience.
Without a Edge Visibility & Performance Monitoring Cyber, organizations face the following challenges:
Unpredictable Network Performance
High latency, packet loss, or jitter affecting business applications.
Difficulty Identifying Network Issues
Slow troubleshooting due to lack of real-time information.
Critical Application Failures
Systems like VoIP, Video Conferencing, and SaaS often experience disruptions without clear root cause analysis.
Lack of Visibility for Remote Users
Remote work user experience is hard to monitor and optimize.
Key Features & Capabilities
Edge Visibility & Performance Monitoring Cyber ensures seamless monitoring, optimizing security and performance.
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Real-Time Network & Application Performance Monitoring
- Monitor cloud network and application performance in real-time.
- Analyze latency, jitter, packet loss, and throughput speed.
End-to-End Visibility
- Visibility from data centers, branch offices, to remote user devices.
- Monitor the performance of network devices, cloud, and hybrid IT environments.
Proactive Issue Detection & Automated Alerts
- Automatic detection of network anomalies and performance degradation.
- Real-time notifications for faster responses.
User Experience Monitoring
- Monitor user experience for cloud-based services like SaaS, VoIP, and video conferencing.
- Measure service quality (QoS) based on user location and device.
AI-Powered Analytics & Reporting
- Use artificial intelligence (AI) to detect patterns and trends in network performance.
- Provide data-driven reports and dashboards that are easy to understand.
Integration with IT Operations & Security
- Integrates with SIEM, SOAR, and other security solutions.
- Helps identify security anomalies that impact network performance.
Business Benefits
Edge Visibility & Performance Monitoring Cyber provides real-time insights, enhancing performance and security.
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a. Enhance IT Operational Efficiency
Reduces Troubleshooting Time: Automated detection and analysis help reduce troubleshooting time.
Improves Hybrid & Multi-Cloud Infrastructure Visibility: Provides better visibility into hybrid and multi-cloud infrastructures.
b. Optimize Security & Application Performance
Prevents Service Disruptions: Proactive monitoring ensures service continuity and minimizes disruptions.
Ensures Optimal Performance for Business Apps & Digital Communication: Guarantees peak performance for business-critical applications and communications.
c. Boost User Productivity & Customer Experience
Ensures Seamless User Experience, Onsite & Remote: Ensures smooth experience for both office and remote users.
Monitors & Optimizes Cloud & SaaS Applications: Continuously monitors and optimizes cloud-based and SaaS applications.
d. Reduce Downtime & Operational Costs
Avoids Productivity Loss from Undetected Network Issues: Helps prevent productivity loss due to unnoticed network problems.
Reduces Escalation Costs & IT Support Expenses with AI-Based Analytics: Lowers operational costs by utilizing AI-driven analytics for better issue detection.
Use Cases
Edge Visibility & Performance Monitoring Cyber optimizes performance and security across industries.
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a. Enterprise & Multinational Companies
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Ensuring smooth operations for branch offices and remote workforce with real-time monitoring.
b. Government & Public Institutions
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Enhancing user experience in accessing digital public service applications.
c. Banking & Financial Services
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Ensuring seamless operation of online transaction applications without interruptions or downtime.
d. E-Commerce & Retail
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Ensuring optimal customer experience in online transactions and omnichannel customer experiences.
e. Healthcare Services
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Optimizing network performance for telemedicine applications and digital medical record systems.
How It Works
How Edge Visibility & Performance Monitoring Cyber integrates systems to ensure optimal edge performance.
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Step 1: Sensor & Monitoring Agent Installation
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Software sensors or agents are installed at various network points, including:
- Data Center & Cloud → To monitor SaaS applications and hybrid cloud performance.
- Branch Offices & Remote Offices → To monitor user traffic and VPN connectivity.
- Endpoint Devices (Laptop, Mobile, IoT) → To measure the quality of user experience directly.
Step 2: Network & Application Performance Data Collection
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The sensors collect various performance metrics, such as:
- Throughput & Bandwidth Utilization → To track data consumption and network capacity.
- Latency & Jitter Analysis → To measure the quality of connections between network points.
- Packet Loss & Error Rate → To detect network disturbances that cause downtime.
- SLA Compliance Monitoring → To ensure network services meet defined performance standards.
Step 3: AI-Based Analysis & Anomaly Detection
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The collected data is sent to an AI & Machine Learning-based analytics platform, which serves to:
- Identify normal patterns and detect anomalies in network traffic.
- Analyze the difference between ideal performance and real-time performance based on network benchmarks.
- Predict potential network disruptions before service failures occur.
Step 4: Dashboard & Alerting Automation System
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All obtained information is displayed in an interactive dashboard, with key features including:
- Network performance visualization in graphs and heatmaps.
- Automated notifications for network incidents, sent via email, SMS, or SIEM.
- Root Cause Analysis (RCA) → Helps IT teams understand network issues more quickly.
Step 5: Corrective Actions & Automated Issue Mitigation
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Based on the analysis results, the system can provide corrective action recommendations or perform automated mitigation, such as:
- Dynamic Traffic Shaping → Prioritizing bandwidth based on critical application needs.
- Automated Network Remediation → Automatically fixing network performance degradation.
- Adaptive Load Balancing → Redirecting traffic to more stable paths to improve user connectivity.
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