September 17, 2024 Knowledge Center

AI-based network monitoring: A game-changer for small and medium businesses in 2024 and beyond

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A reliable network is the foundation of any modern business. It is so important to business operations that even a minor network disruption can have a ripple effect of decreased productivity, lost revenue, and dissatisfied customers. Therefore, effective network monitoring is crucial to ensure uninterrupted processes and maintain a competitive edge.

What is network monitoring?

Network monitoring involves using specialized tools to oversee the performance, health, and security of your computer network, ensuring it operates efficiently and without interruptions. These tools help you identify potential issues, troubleshoot problems promptly, and maintain optimal network performance. They track various aspects of a network such as:

  • Network traffic – monitoring the data flow across the network to identify bottlenecks, unusual patterns, or potential issues
  • Device status – keeping tabs on the health and performance of devices such as routers, switches, servers, and computers within the network
  • Bandwidth usage – observing how much bandwidth is being used by different devices and applications to manage resources effectively
  • Security threats – detecting unauthorized access, malware, or other security breaches that might compromise the network
  • Alerts and notifications – setting up automated alerts to notify IT teams of any issues or irregularities that require attention
Read also: AI uncovered: Navigating the era of artificial intelligence at your business

 

What is AI-based network monitoring and how is it better than traditional methods?

AI-based network monitoring leverages artificial intelligence to oversee the performance, security, and health of your computer network. While traditional network monitoring tools are valuable, AI-based solutions offer a significant upgrade. Here’s a comparison:

Feature Traditional network monitoring tools AI-based network monitoring tools
Problem detection
Relies on predefined rules and thresholds, which can be limited in their ability to detect new and emerging threats
Uses machine learning algorithms to learn from historical data and identify new threats as they emerge
Response
Reactive; often waiting for issues to occur before alerting IT staff
Predictive; can analyze historical data and identify patterns that indicate potential issues before they escalate
Response time
Manual intervention is often required for issue resolution
Automated responses to certain network events, reducing downtime
Insights and reporting
Basic reports; may require manual analysis for actionable insights
Provides detailed, automated reports with actionable recommendations on optimizing network performance, improving security, and reducing costs

Choosing the right AI-based network monitoring tool

When selecting an AI-based network monitoring tool, carefully evaluate the following factors so you can pick the most suitable one for your needs:

Features

A reliable AI-based network monitoring tool should provide real-time visibility into your network, enabling you to quickly identify and resolve issues. It must also effectively detect anomalies in network behavior, which might point to potential security threats or performance problems.

Moreover, consider an AI-based network monitoring tool with automated alerts to quickly inform you of critical issues, minimizing downtime and response time. Look for one that can also generate detailed reports, as these can help you analyze network performance trends, pinpoint bottlenecks, and optimize your infrastructure.

Finally, choose a tool that enables you to customize dashboards, alerts, and reports according to your specific monitoring needs.

Ease of use

Pick an AI-based network monitoring tool that has a user-friendly interface. It should have a logical and intuitive navigation structure so you can easily find the data you need. 

Scalability

Ensure the AI-based network monitoring tool you select can handle your current network size and accommodate future growth without compromising performance. It should also be compatible with various network devices such as routers, switches, firewalls, and servers. Moreover, consider whether the tool offers options for scaling up or down as your network needs change.

Integration

Your chosen AI-based network monitoring tool should be able to integrate seamlessly with your existing IT infrastructure such as your network management systems, security tools, and monitoring platforms. Make sure it offers an application programming interface to enable integration with custom applications or third-party services.

Cost

Evaluate the different pricing models available such as subscription-based, usage-based, or perpetual licensing. You should also consider the total cost of ownership, including the initial purchase price, ongoing maintenance costs, and potential licensing fees. Finally, check for any hidden costs such as additional fees for support, training, or premium features.

Let the IT experts at SUCCESS Computer Consulting handle network monitoring and all other IT tasks for you. We use enterprise-grade tools to ensure your technology is always reliable and brings value to your business. Schedule a consultation with us today.Â