Key Network Performance Metrics to Improve Efficiency

key-network-performance-metrics
Discover key network performance metrics to enhance user experience. Explore in-depth latency, throughput, jitter, packet loss, VOIP quality, and MOS score to optimize network performance analysis.

Contents
1. Importance of Network Performance Metrics for Performance Analysis
2. Critical Key Network Performance Metrics to Monitor 3. Steps to Monitor and Measure Network Performance
4. Significance of Monitoring Metrics in Network Troubleshooting 5. Overcome Monitoring Challenges in Network Performance Metrics
6. Key Takeaway


1. Importance of Network Performance Metrics for Performance Analysis

Network performance involves analyzing and evaluating network statistics to determine the quality of services provided by the underlying computer network. Considering various key network metrics, it is primarily measured from the end-users’ perspective. Measuring these metrics, analyzing performance data over time, and understanding the impact on the end-user experience is essential to assess network performance.

Measuring network performance requires considering factors such as the location and timing of measurements. For instance, network performance may differ when comparing paths between cities or during periods of varying user demands throughout the day. Therefore, a comprehensive approach to monitoring network performance involves identifying these variables and identifying areas for improvement.

Network performance metrics offer valuable insights into any network infrastructure and services. These metrics provide real-time information on potential issues, outages, and errors, allowing one to allocate IT resources efficiently. Understanding end-user demands can create an adaptive network to meet future business needs. However, comprehensive monitoring requires an advanced network monitoring tool to gather, analyze, and interpret data effectively, optimizing network performance. Leveraging relevant metrics can improve network performance, help make informed decisions, enhance network reliability, and deliver a superior user experience.

2. Critical Key Network Performance Metrics to Monitor

2.1 Latency

Latency, or network delay, is a crucial performance metric in network monitoring and management. It quantifies the time required to transmit data between destinations. Factors like packet queuing and fiber optic cabling affect network latency. Consistent delays or sudden spikes in latency indicate significant network performance issues. Monitoring and minimizing latency are essential for ensuring optimal network performance. By actively tracking latency, organizations identify and address issues that may cause delays in data transmission, thereby improving overall network responsiveness and minimizing disruptions for end-users.

2.2 Throughput

Throughput metrics for network monitoring enable measurement of the data transmission rate across various network segments. Unlike bandwidth, which represents the theoretical data transfer limit, throughput reflects the successful delivery of data packets to their destination. Variations in throughput can occur across different network areas. A low throughput indicates the presence of dropped packets requiring retransmission, and highlights potential performance issues that need attention. Monitoring throughput is crucial for effective network management. By monitoring this performance metric, organizations can gain insights into the actual data transmission rate, ensuring that it aligns with expected levels.

2.3 Jitter

Jitter, a key performance metric in network monitoring, refers to the variation in delay between packets, measured as the difference between expected and actual arrival times. It results due to network congestion, routing issues, or other factors, leading to packet loss and degraded application performance. Jitter disrupts the standard sequencing of data packets and can arise due to network congestion or route changes. Monitoring jitter is crucial for identifying and addressing network stability issues and ensuring reliable data transmission. By actively monitoring this performance metric, organizations can address variations in packet delay, mitigating issues that leads to packet loss and enabling proactive troubleshooting.

2.4 Packet Loss

Packet loss, a performance management network monitoring metric, represents the number of data packets lost during transmission. It directly affects end-user services, leading to unfulfilled data requests and potential disruptions. Packet loss can arise from various factors, including software problems, network congestion, or router performance issues. Monitoring the entire process precisely to detect and address packet loss, ensures reliable data transmission and optimal network performance. Monitoring packet loss with the right network monitoring software enables timely troubleshooting and optimization of network infrastructure, ultimately enhancing overall network reliability and performance.

2.5 VOIP Quality

VoIP (Voice over Internet Protocol) quality is a crucial network performance metric. It refers to the overall performance of a VoIP system in delivering clear and reliable voice communications over the Internet, replacing traditional phone lines. Factors influencing VoIP quality include network bandwidth, latency, packet loss, jitter, and the quality of end-user devices. Monitoring VoIP quality ensures optimal system functionality and high-quality voice communications. Key performance indicators (KPIs) such as mean opinion score (MOS), jitter, latency, packet loss, and call completion rates are utilized to assess and optimize VoIP quality.

2.6 MOS Score

Mean opinion score (MOS) is a vital performance metric in network monitoring, rating the perceived quality of a voice call on a scale of 1 to 5. It is a standardized measurement developed by the ITU, an international agency focused on enhancing communication networks. Initially designed for traditional voice calls, the MOS has been adapted to evaluate Voice over IP (VoIP) calls. The MOS score considers various factors, including the specific codec employed for the VoIP call, providing a comprehensive assessment of voice calls quality in network monitoring.

3. Steps to Monitor and Measure Network Performance

Step 1: Deploy a Software for Network Monitoring

To effectively measure network performance, deploying dedicated network monitoring software is crucial. While temporary tools like traceroutes and pings can provide insights into ongoing problems, they are insufficient for troubleshooting intermittent network issues. Relying on periodic tools for intermittent issues is reliant on chance, as it may only detect problems when they occur during tool usage. By implementing comprehensive network monitoring software, one can proactively monitor and analyze network metrics, historical data, and performance, allowing for timely detection and resolution of both ongoing and intermittent network issues.

Step 2: Distribute Monitoring Agents

For comprehensive network performance measurement, businesses must distribute monitoring agents strategically across key network locations. These specialized software agents continuously monitor network performance using synthetic traffic, simulating and assessing the end-user perspective.

By distributing Monitoring Agents, organizations can:

• Measure key network metrics, including jitter, packet loss, and throughput.
• Identify and troubleshoot intermittent network issues that are challenging to pinpoint.
• Receive alerts regarding any performance degradation, ensuring a timely response.
• Collect valuable data for in-depth troubleshooting and analysis, facilitating proactive network management and optimization.

Step 3: Measure Network Metrics

After deploying the monitoring agents, they continuously exchange synthetic User Datagram Protocol (UDP) traffic, forming a network monitoring session. During this session, the agents measure network performance by evaluating key metrics and conducting network traffic analysis. The metrics used in the analysis include specific parameters, and the results of these measurements are presented in a network response time graph, providing a visual representation of the network's performance characteristics. Monitoring and analyzing these metrics enable organizations to gain valuable insights into network performance, facilitating informed decision-making and convenient network performance troubleshooting.

4. Significance of Monitoring Metrics in Network Troubleshooting

4.1 Provide Network Visibility

Monitoring metrics plays a vital role in network troubleshooting by offering network visibility. They enable the identification of performance bottlenecks, configuration problems, and security vulnerabilities that detrimentally affects network performance. These issues can be addressed through targeted troubleshooting efforts, resulting in improved network performance and enhanced end-user experience. Organizations identify and resolve network issues by monitoring metrics, ensuring optimal network functionality and overall business productivity.

4.2 Prevent Network Downtime

Effective monitoring metrics are instrumental in preventing network downtime, a costly concern for businesses. Swift identification and resolution of network issues through proactive network performance troubleshooting help minimize downtime, ensuring uninterrupted business operations. By promptly addressing potential problems, network troubleshooting safeguards against lost productivity, revenue, and customer dissatisfaction. Maintaining a proactive approach to monitoring and resolving network issues to enhance network reliability and business continuity.

4.3 Observe Bandwidth Usage

Monitoring metrics are essential in network troubleshooting as they enable the observation of bandwidth usage. This allows organizations to detect abnormal or excessive utilization, pinpoint key performance issues and ensure optimal resource allocation. It allows for identifying critical bandwidth-hogging applications or network intrusions, helping experts take immediate action to mitigate risks, safeguard data, and protect the overall network integrity. Additionally, experts can optimize network performance and ensure a seamless user experience for organizations relying on efficient network infrastructure.

5. Overcome Monitoring Challenges in Network Performance Metrics

Enterprises seeking to ensure optimal network performance and improve overall business operations must overcome network monitoring obstacles. Effectively monitoring, tracking, and improving network performance requires a strategic combination of skilled personnel, advanced technologies, and well-defined strategies. Failing to address these requirements results in various challenges that hinder the ability to enhance network performance effectively.

The challenges that businesses often encounter include managing scalability, handling massive data volumes, achieving real-time monitoring, dealing with multi-vendor environments, addressing network security and privacy concerns, and adapting to evolving network demands. Each obstacle presents unique complexities that require tailored approaches and expert insights.

To overcome these challenges, enterprises must invest in comprehensive monitoring tools capable of handling the scalability demands of growing networks. These tools should provide real-time network visibility, robust analytics capabilities, and intelligent data filtering mechanisms to extract meaningful insights from vast network data. Establishing clear monitoring objectives aligned with business goals and defining key performance indicators (KPIs) are essential in effectively addressing network performance challenges.

6. Key Takeaway

Monitoring network performance metrics is crucial for assessing the quality of services a computer network provides from an end-user perspective. It involves continuously tracking and analyzing key metrics such as latency, throughput, jitter, packet loss, VOIP quality, and MOS score. Organizations can actively monitor and assess performance, proactively identify intermittent issues, and collect valuable data for in-depth analysis by implementing dedicated network monitoring software and strategically deploying monitoring agents across the network. In addition, it is imperative to emphasize the significance of monitoring metrics in mitigating the potential financial impact of network downtime, enhancing the utilization of available bandwidth resources, and efficiently tackling the complexities inherent in scaling operations, real-time monitoring, diverse vendor ecosystems, security concerns, and the ever-evolving requirements of modern networks.

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Network Security

Cato Networks Introduces World's First SASE-based XDR

PR Newswire | January 25, 2024

Cato Networks, the leader in SASE, announced the expansion of the Cato SASE Cloud platform into threat detection and incident response with Cato XDR, the world's first SASE-based, extended detection and response (XDR) solution. Available immediately, Cato XDR utilizes the functional and operational capabilities of the Cato SASE Cloud to overcome the protracted deployment times, limited data quality, and inadequate investigation and response experience too often associated with legacy XDR solutions. Cato also introduced Cato EPP, the first SASE-managed endpoint protection platform (EPP/EDR). Together, Cato XDR and Cato EPP mark the first expansion beyond the original SASE scope pioneered by Cato in 2016 and defined by industry analysts in 2019. SASE's security capabilities encompassed threat prevention and data protection in a common, easy-to-manage, and easy-to-adopt global platform. With today's announcement, Cato is expanding SASE into threat detection, incident response, and endpoint protection without compromising on the architectural elegance captured by the original SASE definition. "Cato SASE continues to be the antidote to security complexity," says Shlomo Kramer, CEO and co-founder of Cato Networks. "Today, we extend our one-of-a-kind SASE platform beyond threat prevention and into threat detection and response. Only Cato and our simple, automated, and elegant platform can streamline security this way." An early adopter of Cato XDR is Redner's Markets, an employee-owned supermarket chain headquartered in Reading, Pennsylvania, with 75 locations. Redner's Markets' vice president of IT and Infrastructure, Nick Hidalgo, said, "The Cato platform gave us better visibility, saved time on incident response, resolved application issues, and improved network performance ten-fold." (Read more about Redner's Markets and Cato in this blog. "The convergence of XDR and EPP into SASE is not just another product; it's a game-changer for the industry," said Art Nichols, CTO of Windstream Enterprise, a Cato partner. "The innovative integration of these capabilities brings together advanced threat detection, response capabilities, and endpoint security within a unified, cloud-native architecture—revolutionizing the way enterprises protect their networks and data against increasingly sophisticated cyber threats." (Read more about what Cato partners are saying about today's news in this blog.) Platform vs. Product: The Difference Matters Cato XDR takes full advantage of the enormous benefits of the Cato SASE Cloud platform, the first platform built from the ground up to enable enterprises to connect, secure, and manage sites, users, and cloud resources anywhere in the world. Unlike disjointed point solutions and security appliances, Cato capabilities are instantly on, always available at scale, and fully converged, giving IT teams a single, shared context worldwide to understand their networks, prevent threats, and resolve problems. As an autonomous platform, Cato SASE Cloud sustains its evolution, resiliency, optimal performance, and security posture, saving enterprises the operational overhead of maintaining enterprise infrastructure. Enterprises simply subscribe to Cato to meet their business needs. Cato's cloud-native model revolutionized security and networking operations when it was introduced in 2016, a fact validated three years later in 2019 when the Cato approach was formally recognized by the industry as SASE. Breach Times Still Too Long; Limitations of Legacy XDR Cato is again revolutionizing cybersecurity with the first SASE platform to expand into threat detection, empowering security teams to become smarter and remediate incidents faster. The flood of security alerts triggered by network sensors, such as firewalls and IPS, complicates threat identification. In 2023, enterprises required 204 days on average to identify breaches.1 XDR tools help security analysts close this gap by ingesting, correlating, and contextualizing threat intelligence information with the data from native and third-party sensors. However, legacy XDR tools suffer from numerous problems relating to data quality. Sensor deployment extends the time-to-value as IT must not only install the sensors but also develop a baseline of specific organizational activity for accurate assessments. Data quality is also compromised when importing and normalizing third-party sensor data, complicating threat identification and incident response. Security analysts waste time sorting through incident stories to identify the ones most critical for immediate remediation. Once determined, incident remediation is often hampered by missing information, requiring analysts to master and switch between disparate tools. No wonder in 2023, average breach containment required more than two months.1 Cato XDR and Cato EPP Expands the Meaning of SASE Cato XDR addresses legacy XDR's limitations. Instantly activated globally, Cato XDR provides enterprises with immediate insights into threats on their networks. Incident detection is accurate due to Cato's many native sensors – NGFW, advanced threat prevention (IPS, NGAM, and DNS Security), SWG, CASB, DLP, ZTNA, RBI, and now EPP/EDR. Powered by Bitdefender's world-leading malware prevention technology, Cato EPP protects endpoints from attack – in the Cato way. Endpoint threat and user data are stored in the same converged Cato data lake as the rest of the customer's network data, simplifying cross-domain event correlation. The result is incredibly high-quality data that improves the incident identification and remediation process. Cato AI uses the data to accurately identify and rank incidents, empowering analysts to focus critical resources on an organization's most important remediation cases. Cato AI is battle-tested and proven across years of threat hunting and remediation handling by Cato MDR service agents. Remediation times reduce as detected incident stories contain the relevant information for in-depth investigation. Cato's tools sit in the same console as the native engines, enabling security analysts to view everything in one place -- the current security policy and the reviewed story. Finally, incident reporting is simplified with generative AI. Purpose-built for investigations, this natural language engine provides human-readable explanations of incident stories. Analysts save time sharing incident information with other teams and reporting to their managers.

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Network Infrastructure

DISH Wireless Awarded $50 Million NTIA Grant for 5G Open RAN Integration and Deployment Center

PR Newswire | January 16, 2024

DISH Wireless, a subsidiary of EchoStar, was awarded a historic $50 million grant from the U.S. Department of Commerce's National Telecommunications and Information Administration (NTIA) to establish the Open RAN Center for Integration & Deployment (ORCID). ORCID will allow participants to test and validate their hardware and software solutions (RU, DU and CU) against a complete commercial-grade Open RAN network deployed by DISH. "The Open RAN Center for Integration and Deployment (ORCID) will serve a critical role in strengthening the global Open RAN ecosystem and building the next generation of wireless networks," said Charlie Ergen, co-founder and chairman, EchoStar. "By leveraging DISH's experience deploying the world's first standalone Open RAN 5G network, ORCID will be uniquely positioned to test and evaluate Open RAN interoperability, performance and security from domestic and international vendors. We appreciate NTIA's recognition of DISH and ORCID's role in driving Open RAN innovation and the Administration's ongoing commitment to U.S. leadership in wireless connectivity." To date, this grant represents NTIA's largest award under the Public Wireless Supply Chain Innovation Fund (Innovation Fund). ORCID will be housed in DISH's secure Cheyenne, Wyoming campus and will be supported by consortium partners Fujitsu, Mavenir and VMware by Broadcom and technology partners Analog Devices, ARM, Cisco, Dell Technologies, Intel, JMA Wireless, NVIDIA, Qualcomm and Samsung. NTIA Administrator Alan Davidson and Innovation Fund Director Amanda Toman will join EchoStar Co-Founder and Chairman Charlie Ergen, EchoStar CEO Hamid Akhavan, EVP and Chief Network Officer Marc Rouanne and other stakeholders to announce the grant and tour a DISH 5G Open RAN cell site later today in Las Vegas. During this event, DISH will outline ORCID's unique advantages, including that it will leverage DISH's experience as the only operator in the United States to commercially deploy a standalone Open RAN 5G network. DISH and its industry partners have validated Open RAN technology at scale across the country; today DISH's network covers over 246 million Americans nationwide. At ORCID, participants will be able to test and evaluate individual or multiple network elements to ensure Open RAN interoperability, performance and security, and contribute to the development, deployment and adoption of open and interoperable standards-based radio access networks. ORCID's "living laboratory" will drive the Open RAN ecosystem — from lab testing to commercial deployment. Below are highlights of ORCID: ORCID will combine both lab and field testing and evaluation activities. ORCID will be able to test elements brought by any qualified vendor against DISH's live, complete and commercial-grade Open RAN stack. ORCID will use DISH's spectrum holdings, a combination of low-, mid- and high-band frequencies, enabling field testing and evaluation. ORCID will evaluate Open RAN elements through mixing and matching with those of other vendors, rather than validating a single vendor's stack. DISH's experience in a multi-vendor environment will give ORCID unique insights about the integration of Open RAN into brownfield networks. ORCID's multi-tenant lab and field testing will occur in DISH's secure Cheyenne, Wyoming facility, which is already compliant with stringent security protocols in light of its satellite functions. About DISH Wireless DISH Wireless, a subsidiary of EchoStar Corporation (NASDAQ: SATS), is changing the way the world communicates with the Boost Wireless Network. In 2020, the company became a nationwide U.S. wireless carrier through the acquisition of Boost Mobile. The company continues to innovate in wireless, building the nation's first virtualized, Open RAN 5G broadband network, and is inclusive of the Boost Infinite, Boost Mobile and Gen Mobile wireless brands.

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Events