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Fully leveraging network packet and flow data, NPM builds monitoring views for important links, key devices and core services. Based on typical workflows of network professionals, NPM is designed to be flexible and accommodating to different use cases and scenarios.
The Service-Oriented NPM reflects directly how network facilities support businesses. It produces reliable and valuable performance data to evaluate and score the quality of network services.
Enhanced Visualization and Improved Efficiency
Based on observed network traffic, NPM can quickly identify and define applications, discover and layout service paths, and provide the ability to visualize applications going through various network components and systems. As a result, visualization coverage is enhanced and the efficiency of network traffic analysis is improved.
Simplified Administrative Tasks and Procedures
Using the leading data statistical analysis techniques and the simulation functionalities for discovery and alerting, administrative and operational tasks and procedures are greatly reduced and simplified.
Data Acquisition from Various Sources
Network Packets: also known as Wire Data, are recorded for back-in-time troubleshooting scenarios.
IPFIX & Flow Data: collect network traffic statistical data; support advanced performance metrics such as TCP counters and response time.
Different layers of dashboards meet diverse needs and scenarios.
Exclusive views are for important links, key devices and core service paths.
Service Path View provides end-to-end traffic flow monitoring.
Historical traffic analysis can be drilled down to one second granularity.
Real-time statistics are updated every 15 seconds.
Discovers well-known and custom applications to gain visibility of the network traffic.
Discovers traffic flow dependency among application components, and provides a snapshot of a given time. This function allows comparison of different times and conditions, such as before and after an infrastructure upgrade.
Provide simulation function to optimize trigger conditions and define accurate baselines for alerts.
Instant reports can be produced as the summary of an entire analysis workflow with notation from users.
Scheduled reports can be generated automatically based on configured schedules. The reports can be viewed online and drilled down for additional details, if required.
Data Storage and Forensics
Network packets can be exported anywhere in different views, which makes data forensics WYSIWYG.
Data capture, decoding, storage processes are independent to one another to maximize the usage of resources, yet all components are managed centrally by an NPM manager to make the deployment scalable for large enterprises.
Recommended configuration of NPM server
|OS||Linux 64-bit, Version 3.4 kernel; Cent OS6.5 recommended|
|Browser||Google Chrome, Firefox or Safari recommended|
|Screen Resolution||1280 * 1024 or higher|
|CPU||2-way Intel® Xeon® E5 series processor 2.0GHz | 6 core or higher|
|Memory||32GB or more|
|Disk Space||1TB or more, deployed in demand|
|Network Interface Card||2*1GE at least|
|Power Supply||Dual redundant power supply|
NPM Supported Data Sources
|Network Packet||Switch port mirroring, TAP device|
|IPFIX Data Stream||Router device supporting IPFIX|