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
Table of Contents
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.
Measures the percentage of time the network is operational and accessible by users and devices.
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.
Represents the percentage of packets that fail to reach their intended destination. High packet loss can lead to reduced network performance, increased latency,.
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.
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.
Represents the total duration for a packet to be sent from a source to its destination and then back to the source.
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.
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.
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.
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.
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.
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.
Frequently Asked Questions
What are network monitoring metrics and why are they important?
What are the key network monitoring metrics to track in a network infrastructure?
How can network latency be defined, and why is it significant in monitoring networks?
What is packet loss, and how does it affect network performance?
What is the role of error rates in network monitoring metrics, and how can they be used to optimize network performance?
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.