How to effectively manage network communication data? Egress traffic monitoring can reduce the burden on the network

How to effectively manage network communication data? Egress traffic monitoring can reduce the burden on the network

Informatization has gradually penetrated into all walks of life. Many enterprises and organizations have established local area networks and connected to the Internet. All daily work and core businesses are completed on the network.

As digital transformation deepens, the burden of network operation becomes heavier. Network operation and maintenance personnel cannot help but ask, how to effectively manage network communication data?

One of the most important and basic methods is to monitor network egress traffic, which can analyze the egress bandwidth occupied by various applications and detect Internet access that is not required for work, thereby improving network usage efficiency.

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By deploying traffic probes on the routers/switches at the network exit and the corresponding traffic security analysis system in the local area network, you can analyze and monitor the application traffic and IP traffic at the network exit.

Through the traffic trend analysis provided by the system over a certain period of time, network operation and maintenance personnel can intuitively see whether there is a sudden increase or decrease in network traffic, and can further analyze which users use more traffic and which applications have an impact on network performance. This helps them quickly resolve abnormal problems and ensure the continuous and stable operation of the network.

The system monitors network traffic for a long time to generate various trend reports and log files, which can help network operation and maintenance personnel predict traffic growth and provide a reliable basis for confirming network upgrade needs.

The network traffic security analysis system independently developed by Anbotong provides multi-dimensional traffic analysis value for network egress scenarios of enterprises and organizations.

Value 1: Multi-dimensional analysis to obtain traffic information

Based on the unique DPI+DFI technology, it fully captures data packets in the network, correlates traffic data between applications, users, servers, and security domains, and implements multi-dimensional analysis.

The analysis includes: traffic source, corresponding application type, occurrence time and existence time, transmission path and destination. Based on answering the "4W" question, more specific and detailed indicators of network traffic are obtained. (Note: 4W means Who source, What application type, When time and Where path.)

Value 2: Customize time periods to monitor server performance

You can view network performance indicators within a custom time period, including server usage frequency ranking based on upstream and downstream traffic, server utilization ranking based on upstream and downstream flow rates, and the best and worst servers based on indicators such as retransmission, congestion, zero window, and reset, so as to understand how servers are affected by network performance.

Value 3: Quantitatively evaluate system performance and assist in locating system failures

Visually analyze the real-time operating performance of HTTP, DNS, FTP, email, streaming media, database and other services, provide objective quantitative evaluation results, and provide data support for optimizing business systems.

Locate business performance bottlenecks based on detailed data, accurately identify the root cause components of the problem, distinguish whether the bottleneck occurs on the network side or the server side, and assist in quickly resolving business performance failures.

Value 4: Automatic early warning and full cycle management of operation and maintenance

Achieve advance warning, full visualization and post-event analysis of network, user and business failures, and support full-cycle management of fault operation and maintenance.

Conduct in-depth modeling and analysis on various data obtained by the system to establish a baseline, support early warning based on link layer, network layer, transport layer, application layer protocols and connection number thresholds, and support alarm settings for users, servers, applications, and audits.

Analyze the alarm information in detail, analyze the changing trend of the indicators that trigger the alarm, and realize the transformation from passive maintenance to active prevention.

In September 2020, the Security Research Institute of the China Academy of Information and Communications Technology and Freebuf Consulting jointly released the "China Network Traffic Monitoring and Analysis Product Research Report" (2020). The report aims to better meet the traffic monitoring and analysis needs of users in industries such as telecommunications and the Internet in new business scenarios, and provide a technical capability reference for the selection of network security products.

After going through rigorous procedures such as questionnaire surveys, test evaluation, and application comparison, Anbotong's network traffic security analysis system became one of the six companies selected into the operator industry application group.

Discover security risks in multiple dimensions and conduct long-term forensic analysis. The Anbotong network traffic security analysis system provides users in various industries, including the operator industry, with a full-process platform for pre-warning, in-process detection, and post-event tracing at the network traffic level.

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