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Top 10 Network Performance Best Practices in 2024

Updated on May 11
4 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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Top 10 Network Performance Best Practices in 2024Top 10 Network Performance Best Practices in 2024

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Network performance optimization is the process of maximizing the efficiency and reliability of data transmission across an organization’s network infrastructure. It involves identifying bottlenecks, reducing latency, and ensuring sufficient bandwidth to meet the demands of users and applications.

Optimized networks result in flawless data flow, minimum downtime, and enhanced productivity. This is achievable through implementation and effective practice for the real world. Below are 10 network performance best practices you should implement for improved network optimization.

What is network performance optimization?

Network performance optimization is the process of enhancing the efficiency and effectiveness of a network. It involves the strategic improvement of network functionality to ensure: 

  • Optimal data transfer speeds
  • Minimal latency
  • Efficient handling of data packets 

This is achieved through a combination of hardware upgrades, software solutions, and management strategies that together ensure network resources are utilized effectively and securely.

Key aspects of network performance optimization include: 

  • The management of network traffic to prevent congestion
  • The use of network monitoring tools to maintain the health and security of the network
  • The implementation of network optimization techniques to ensure the network meets the evolving demands of its users

How to measure network performance?

Measuring network performance is crucial for identifying areas needing improvement. Key metrics include: 

  • Bandwidth utilization
  • Latency
  • Jitter
  • Packet loss
  • Error rates

For other network performance metrics, you can check our detailed article.

Network performance monitoring uses sophisticated tools for collecting and analyzing network performance data, offering insights into network health. This enables immediate issue identification and resolution, ensuring high service quality and minimal downtime.

What network problems affect network optimization?

Network optimization can be hindered by issues like: 

  • Network congestion, which leads to slow performance and data packet loss
  • Inadequate network security measures, which expose the network to cyber threats
  • Outdated infrastructure, which can contribute to suboptimal performance

What are the network performance best practices for network optimization?

1- Leveraging Advanced Network Monitoring Tools

Implementing advanced network monitoring tools is crucial for real-time insights into network traffic. These tools enable proactive identification and resolution of issues, reducing network outages and enhancing performance. 

Network optimization tools are not limited to performance metrics but can also include aspects like security monitoring, application performance, and more. Essentially, they offer a comprehensive view of the network’s operational status.

2- Leveraging Network Performance Monitoring (NPM) Tools

Network performance monitoring tools are a subset of network monitoring tools specifically focused on the performance aspects of the network. They are dedicated to tracking metrics like latency, bandwidth usage, error rates, and packet loss.

NPM tools enable early identification of network performance problems, allowing teams to address and resolve issues proactively. With comprehensive visibility into network traffic and performance data, NetOps professionals can efficiently pinpoint the root cause of network issues. These tools also aid in capacity planning and resource allocation, providing insights for making informed decisions about infrastructure investments to meet current and future demands.

For more, see the NPM tools vendor selection guide.

3- Optimizing Network Devices & Infrastructure

Regularly upgrading network devices and ensuring that the network infrastructure aligns with the latest technologies is vital. This includes investing in high-performance routers, switches, and cables capable of supporting current and future network data volumes. 

An optimized infrastructure supports current operational needs and scales effectively for future growth, including implementing modular designs and virtualization strategies. Regular firmware and software updates are also crucial to keep the network compatible with new technologies and security standards​​.

4- Prioritizing Network Traffic

Prioritizing network traffic ensures that critical operations receive the necessary bandwidth. Techniques such as bandwidth throttling and traffic shaping manage network resources effectively. Understanding how different applications use bandwidth and their impact on business processes enables targeted bandwidth allocation. This prioritization is essential in ensuring that key operations are not interrupted due to insufficient network resources​​.

5- Network Traffic Analysis & Traffic Engineering

Utilizing network traffic analysis tools provides deep insights into network performance and security. Establishing baseline metrics and combining flow, packet, and log-based data sources offer a comprehensive view of network behavior. Analyzing both real-time and historical data facilitates informed decision-making, improving network optimization and security​​.

Traffic engineering involves optimizing network performance by considering factors like bandwidth, latency, cost, and network policy. It helps in: 

  • Managing network congestion
  • Ensuring balanced traffic distribution
  • Improving network resilience

6- Improving the Robustness of Network Security

Strengthening network security involves implementing comprehensive measures against both internal and external threats. This includes: 

  • DDoS detection, protection, and mitigation
  • Deploying firewalls and intrusion detection systems
  • Conducting regular security audits

Encryption of sensitive data adds another layer of security. Robust security measures are vital for maintaining network integrity and performance​​.

7- Configuring Network Protocols

Adjusting settings in TCP/IP protocols, such as window size, congestion control mechanisms, and packet size, can enhance network speed and reliability. Understanding network traffic characteristics and configuring network protocols accordingly can lead to improved network performance. 

Transitioning to IPv6 could be beneficial in the long term due to its improved addressing capabilities and better security features compared to IPv4​​.

8- Continual Network Monitoring and Maintenance

Deploying network monitoring tools and conducting regular maintenance tasks, like hardware and software updates and routine network health checks, are integral to an optimized network. Continuous monitoring provides real-time insights into network performance, enabling IT teams to identify and address issues immediately, ensuring minimal downtime and maintaining high service quality​​.

9- Employing Network Capacity Planning Techniques

Effective network capacity planning involves assessing current utilization rates and predicting future network needs. This ensures your network can handle growth without compromising performance. Modern capacity planning solutions offer detailed visibility into network usage and help identify trends, aiding in both short-term and long-term planning. This strategic approach is crucial for future-proofing the network​​.

10- Optimizing Cloud Networking

In the era of cloud computing, optimizing cloud network performance is critical. Strategies should focus on reliable connectivity between on-premises environments and the cloud. Monitoring network and application performance in the cloud is crucial, with tools providing valuable insights. Implementing robust security measures like zero-trust is necessary in environments where network perimeters can blur​​.

If you have further questions, reach us:

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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.

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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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