Network infrastructure refers to all of the resources of a network that make network or internet connectivity, management, business operations and communication possible. Network infrastructure comprises hardware and software, systems and devices, and it enables computing and communication between users, services, applications and processes. Anything involved in the network, from servers to wireless routers, comes together to make up a system’s network infrastructure. Network infrastructure allows for effective communication and service between users, applications, services, devices and so forth.

What Are the Main Challenges Surrounding Network Infrastructure?

There are a number of challenges in regards to running a network infrastructure model. Some of the top three network infrastructure challenges are:
1. Centralizing traffic
2. Dealing with duplicate data
3. Sending the right data to the right tool

1. Centralizing Traffic

Within an organization, there are often multiple different subnets and locations or sites. Without a centralized hub, network visibility, monitoring and management can become near impossible. Many companies use network infrastructure solutions to centralize traffic to better understand and monitor the data traversing their networks. This enhances their security posture and helps network operations teams address performance issues.

2. Dealing with Duplicate Data

In some cases, duplicate data can comprise 50 – 66 percent of network traffic. Removing duplicate data is critical, particularly when it comes to the effectiveness of network security solutions. If the security solutions get too much duplicate data, they may be slowed down and less effective in detecting threats.

3. Sending the Right Data to the Right Tool

Many organizations use a number of different cyber security tools and providers. Many security providers often charge based on how much data they need to process. As such, sending the right type of data to the right tool is a critical aspect of infrastructure networking. Sending data from many different sources all to the same tool might be ineffective and costly, particularly if one tool is best suited to one type of data and another tool to another type.