GITNUX MARKETDATA REPORT 2023

Must-Know Network Monitoring Metrics

Highlights: The Most Important Network Monitoring Metrics

  • 1. Network Availability
  • 2. Network Latency
  • 3. Packet Loss
  • 4. Bandwidth Utilization
  • 5. Throughput
  • 6. Round-Trip Time (RTT)
  • 7. Error Rates
  • 8. Network Jitter
  • 9. Connection Time
  • 10. Response Time
  • 11. HTTP Error Rates
  • 12. Network Topology Changes
  • 13. Number of Active Connections
  • 14. Transmission Control Protocol (TCP) Retransmissions
  • 15. Quality of Service (QoS) Metrics

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Network Monitoring Metrics: Our Guide

In an interconnected world, understanding the health and performance of your networks is critical for seamless operations. This blog post, shining light on essential network monitoring metrics, aims to empower businesses with insights into network functionality. Delve in to grasp how these metrics can transform your network performance diagnostics and aid in efficient problem-solving.

Network Availability - Measures the percentage of time the network is operational and accessible by users and devices.

Network Availability

Measures the percentage of time the network is operational and accessible by users and devices.

Network Latency - Refers to the time taken for a packet to travel between a sender and a receiver, expressed in milliseconds (ms). High latency may indicate congestion or other performance issues.

Network Latency

Refers to the time taken for a packet to travel between a sender and a receiver, expressed in milliseconds (ms). High latency may indicate congestion or other performance issues.

Packet Loss - Represents the percentage of packets that fail to reach their intended destination. High packet loss can lead to reduced network performance, increased latency,.

Packet Loss

Represents the percentage of packets that fail to reach their intended destination. High packet loss can lead to reduced network performance, increased latency,.

Bandwidth Utilization - Monitors the amount of data transmitted across the network over a specific period. High bandwidth utilization may indicate bottlenecks, congestion, or the need for network capacity.

Bandwidth Utilization

Monitors the amount of data transmitted across the network over a specific period. High bandwidth utilization may indicate bottlenecks, congestion, or the need for network capacity.

Throughput - Measures the rate at which data is successfully transmitted between sender and receiver. Low throughput may be an indicator of network issues or performance problems.

Throughput

Measures the rate at which data is successfully transmitted between sender and receiver. Low throughput may be an indicator of network issues or performance problems.

Round-Trip Time - Represents the total duration for a packet to be sent from a source to its destination and then back to the source.

Round-Trip Time

Represents the total duration for a packet to be sent from a source to its destination and then back to the source.

Error Rates - Monitors the number of errors that occur while data is being transmitted, such as collisions or signal interference. High error rates may signify network problems or faulty hardware.

Error Rates

Monitors the number of errors that occur while data is being transmitted, such as collisions or signal interference. High error rates may signify network problems or faulty hardware.

Network Jitter - Refers to the variability of latency in the network. High jitter values can lead to poor voice and video quality, as well as inconsistency in network performance.

Network Jitter

Refers to the variability of latency in the network. High jitter values can lead to poor voice and video quality, as well as inconsistency in network performance.

Connection Time - Reflects the duration required to establish a connection between two devices or systems. Monitoring connection time can help identify potential issues in network routing or server.

Connection Time

Reflects the duration required to establish a connection between two devices or systems. Monitoring connection time can help identify potential issues in network routing or server.

Response Time - Measures the time taken for a network request to be responded to by the target server or device. Response time is an essential metric for evaluating the performance of applications.

Response Time

Measures the time taken for a network request to be responded to by the target server or device. Response time is an essential metric for evaluating the performance of applications.

HTTP Error Rates - Monitors the number of HTTP errors (eg., 404 or 500 errors) encountered by users when accessing web applications.

HTTP Error Rates

Monitors the number of HTTP errors (eg., 404 or 500 errors) encountered by users when accessing web applications.

Network Topology Changes - Tracks changes in network routes and links, which may impact the performance or reliability of data transfer between devices.

Network Topology Changes

Tracks changes in network routes and links, which may impact the performance or reliability of data transfer between devices.

Number Of Active Connections - Measures the total number of connections to a server or network device. Monitoring this metric can help identify unusual activity or bottlenecks caused by high demand.

Number Of Active Connections

Measures the total number of connections to a server or network device. Monitoring this metric can help identify unusual activity or bottlenecks caused by high demand.

Transmission Control Protocol - Represents the number of times a TCP packet is retransmitted due to a lack of acknowledgment from the recipient.

Transmission Control Protocol

Represents the number of times a TCP packet is retransmitted due to a lack of acknowledgment from the recipient.

Quality Of Service - Refers to various service parameters, such as bandwidth allocation, priority levels, and latency targets, that help evaluate the overall performance and reliability of network services.

Quality Of Service

Refers to various service parameters, such as bandwidth allocation, priority levels, and latency targets, that help evaluate the overall performance and reliability of network services.

Frequently Asked Questions

Network monitoring metrics are quantifiable measurements used to assess the performance, reliability, and overall health of a network. These metrics are essential for network administrators to identify and resolve any issues, ensuring optimal network efficiency, improving user experience, and minimizing downtime.
The key network monitoring metrics to track include bandwidth usage, latency, packet loss, error rates, and availability (uptime). Monitoring these metrics helps to optimize network performance, rapidly identify and resolve issues, and maintain a high-quality user experience.
Network latency is the time it takes for a data packet to travel from its source to its destination within a network. High latency can result in a poor user experience due to slow data transfer and reduced overall network performance. Monitoring latency metrics is crucial to understanding and improving communication efficiency in a network.
Packet loss refers to the situation where data packets fail to reach their intended destination within a network. This can be caused by various factors such as network congestion, hardware issues, or signal interference. Packet loss can significantly impact network performance, leading to slow data transfer, decreased application responsiveness, and lower user satisfaction.
Error rates, such as CRC errors or transmission errors, are network monitoring metrics that indicate the occurrence of data corruption or hardware malfunctions during data transmission. By keeping track of error rates, network administrators can identify potential issues, troubleshoot, and take corrective actions to optimize network performance and maintain data integrity.
How we write these articles

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.

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