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Real Time Network Performance Monitoring: Techniques & Tools in 2024

Updated on May 13
3 min read
Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

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A robust network monitoring tool becomes essential to monitor network performance effectively. With real-time network performance monitoring, businesses can navigate the complexities in their network systems, ensuring optimal performance, security, and reliability.

In this article, we deep dive into the features, benefits, techniques and tools for real time network performance monitoring.

What is real time network performance monitoring?

Real-time network performance monitoring is a critical aspect of managing modern IT infrastructures. It involves using network monitoring tools to continuously observe and analyze the performance of network devices and traffic in real time. This approach allows IT professionals to promptly identify and address network issues, ensuring the smooth functioning of the network. By leveraging real-time data, organizations can maintain optimal network health, preventing downtime and ensuring efficient resource utilization.

Techniques for Real-Time Network Performance Monitoring

Real-time network performance monitoring solutions are equipped with a range of features designed to optimize network management. Key features include:

  1. Packet Analysis: Packet analysis involves capturing and analyzing network packets to identify traffic patterns, anomalies, and performance bottlenecks. Advanced packet analysis tools offer real-time monitoring capabilities, allowing administrators to monitor network traffic continuously.
  2. Flow Monitoring: Flow monitoring tracks the flow of data packets between network devices, providing insights into network traffic patterns and bandwidth utilization. Flow monitoring techniques, such as NetFlow and sFlow, enable administrators to monitor and analyze network flows in real-time.
  3. Synthetic Monitoring: Synthetic monitoring involves simulating user interactions with network applications and services to measure performance and availability.
  4. Active Probing: Active probing techniques involve sending test packets or probes to network devices to assess performance and identify potential issues.
  5. Simple Network Management Protocol (SNMP) Support: SNMP is widely used for managing network devices. Real-time monitoring solutions often support SNMP to collect and organize information about these devices.
  6. Traffic Analysis and Bandwidth Monitoring: Network traffic monitoring helps in managing bandwidth allocation, optimizing network performance, and planning for capacity upgrades. By monitoring traffic, organizations can also detect unusual patterns that may indicate security issues.
  7. Latency Measurement: Since latency directly affects the user experience, especially in applications requiring real-time or near-real-time communication, monitoring it is crucial. It helps in identifying network segments that are causing delays and aids in troubleshooting to improve the overall performance of the network.

Why do businesses need real time network performance monitoring?

Proactive Issue Resolution: By constantly monitoring network performance, businesses can proactively identify and resolve issues before they escalate.

Enhanced Security: Real-time monitoring helps in the early detection of unusual network traffic patterns, which could indicate security breaches.

Optimized Network Performance: Continuous monitoring enables businesses to ensure that their network infrastructure is performing optimally, leading to improved efficiency and productivity.

Compliance and Reporting: Many industries require strict compliance with regulatory standards, and real-time monitoring assists in maintaining these standards through detailed reporting.

Better Decision Making: Real-time data provides insights that help in making informed decisions regarding network upgrades and capacity planning.

Real Time Network Performance Monitoring Tools

A variety of real time network performance monitoring software and tools are available, each offering different features and capabilities. With a detailed analysis within the market, we shortlisted these 5 vendors according to the company size, user reviews and ratings:

VendorsPriceFree TrialRatings# of employees
AKIPSNot shared publicly.✅ for 30-days5/5 based on 4 reviews15
NinjaOneNot shared publicly.N/A4.8/5 based on 1,187 reviews909
Solarwinds NPMNot shared publicly.✅ for 30-days4.5/5 based on 290 reviews2,500
ManageEngine OpManager
Standard Edition: $245 [25 devices] Professional Edition: $345 [25 devices] Enterprise Edition: $11,545 [250 devices]
✅ for 30-days4.6/5 based on 161 reviews302
AuvikNot shared publicly.✅ for 14-days4.6/5 based on 266
reviews
336
Paessler PRTGStarting €1,649✅ for 30-days4.6/5 based on 279 reviews364

You can check our in-depth vendor selection article where we compare and evaluate these vendors in detail.

If you have further questions, reach us:

Find the Right Vendors

Transparency Statement: AIMultiple works with many vendors, including AKIPS.

For more on network monitoring

Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Sources:

AIMultiple.com Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

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