Analyse Network Traffic

[Jule Kue]

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With SolarWinds NetFlow Traffic Analyzer (NTA), you can build customizable reports and alerts to help you detect issues at the first sign of trouble. NTA is built to report on current and historical network traffic data, including flow data and CBQoS data, so you can detect trends in peak bandwidth usage and adjust policies for better management.

NTA is built to offer comprehensive network traffic analysis for all your network elements by automatically collecting and correlating traffic data. Gain insight into network traffic patterns for any network element. NTA is built to collect and analyze flow data from multiple vendors, including:

NTA is designed to present user-friendly network traffic visualization in a web-based interface. Get to the root cause of bandwidth issues with an intuitive point-and-click interface. This network traffic analysis tool helps identify peak bandwidth usage within your network and displays top talkers in color-coded graphs and charts.

Network traffic analysis is the process of collecting and examining network data to understand and improve the performance of your network. Network traffic analysis can allow you to identify bottlenecks in your network causing slowdowns or may soon impact quality of service for end users.

Network traffic analysis is often focused on leveraging flow data for insights into bandwidth usage across your network. Networks are designed with a limited amount of bandwidth. When an array of applications, endpoints, and users are using this bandwidth, performance issues can arise.

Network traffic monitoring typically focuses on collecting and analyzing flow data and quality of service data, which means leveraging NetFlow data. NetFlow, a network protocol developed by Cisco in the 1990s, is used for gathering and monitoring IP traffic statistics. You can use this information to take a closer look at traffic flow in your network. NetFlow data reveals the source and endpoint of traffic, and the levels of traffic being generated.

For instance, SolarWinds NetFlow Traffic Analyzer is a software-based NetFlow collector designed to help you understand how network and bandwidth usage affect your network. By leveraging NetFlow, NTA provides an overview of your network traffic and reveals how users are affecting your bandwidth.

The first step in analyzing network traffic is monitoring and collecting relevant NetFlow data, as described above. The next step is organizing and examining this data to reveal critical insights and patterns.

For effective analysis, you may also correlate and compare flow data and other relevant information from many different network sources. This practice can be especially helpful if you know the time of a network slowdown. Instead of manually going through each data source to see which one was responsible at the time, a feature to cross-reference multiple data sources on a single timeline can help you drill down on performance issues more quickly.

Network traffic analysis is also useful for capacity planning and resource allocation. In the midst of a slowdown, flow data analysis can tell you which applications are hogging resources and which are suffering from the lack of adequate distribution. You can use this information to divert resources more appropriately and clear up congestion.

This is where network traffic analysis tools come in. In general, these tools make it easier for users to locate and isolate the problem. Users can get a comprehensive view of their network, correlate flow data from many different sources, and help mitigate and prevent network slowdowns.

SolarWinds NetFlow Traffic Analyzer is a powerful, scalable, and intelligent network traffic analysis tool designed to help users take control of their network and drill down on performance issues related to bandwidth usage.

SolarWinds was founded by IT professionals solving complex problems in the simplest way, and we have carried that spirit forward since 1999. We take pride in relentlessly listening to our customers to develop a deeper understanding of the challenges they face. Our digital agility solutions are built to help companies of any size accelerate business transformation today and into the future.

Collecting data using an agent involves deploying software on your data sources. Agents can collect information about running software processes, system resource performance, and inbound/outbound network communications. While agent-based collection can provide very granular data, it can also create processing and storage issues.

So make sure to find out if there are any ports you need to open up for collection, for example. Also be sure to find out if departmental approval is required before data collection can begin. This can help you break down silos by collecting data from other parts of the network.

And think about the industry your organization is in. Highly regulated industries like healthcare or finance may not allow you to collect certain types of data or may require you to store data for a longer period. Having more historical data can be helpful for network traffic analysis, but this takes up storage. So be aware of any rules restricting or governing data collection.

The next step is to enable your data sources for collection. The key here is to start small with a diverse set of data sources, especially if you run a large network. This will help identify issues with any systems before you expand your reach across the network. The last thing you want is to collect data from all your Windows servers, for example, and then find out that certain groups of servers keep crashing. So start small with a diverse group and expand from there.

Consider the size and complexity of your network. If large portions include virtual devices, for example, virtual appliances may be more appropriate. If your organization still mostly uses on-premises physical infrastructure, a hardware device may be the better option. Avoid using a virtual appliance to monitor a busy virtual network inside that network.

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