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Network Performance Metrics

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    Network performance metrics are a collection of metrics that measure how well or poorly a network performs. Network performance metrics can reveal when components of a network are behaving irregularly and need further investigation.

    Network operations teams can select from hundreds of metrics to tailor their network health assessment to the most important metrics for the priorities of their network. Selecting the right combination of network performance metrics to give your NetOps teams the most meaningful metrics is a science that is unique to each organization’s specific needs. Some of the most common network performance metrics include:

    Bandwidth Utilization

    Bandwidth utilization refers to the amount of bandwidth consumed on a network or on a specific network segment and the breakdown of its composite traffic. Understanding how bandwidth is utilized in a network is of critical importance to a network manager who is chiefly responsible for ensuring peak network performance. Modern network monitoring software can track traffic throughout large and complex networks and determine how bandwidth is being utilized. For example, software solutions can monitor bandwidth utilization by port and even by direction to pinpoint problems or justify additional bandwidth.

    Network Latency

    Network Latency is the amount of time it takes a packet to go from its host to its destination, also characterized as travel delay.

    Jitter

    This is the change in latency between packet delivery. Low jitter is described as a consistent frequency in packet arrival. When the output signals begin to vary, but the changes are slow, this is called wander. Wander is the precursor behavior to jitter. Rapid variations and delays between packet arrivals are called high jitter. Jitter can be caused by routing changes, network congestion, inadequate resource allocation, distance, and changes in the weather.

    Packet Loss

    Packet loss happens when one or more packets fail to reach their destination. It can be caused by hardware failure, saturated network nodes, environmental or man-made interference, buggy software, or a cybersecurity attack.

    Throughput

    Throughput measures how much data can successfully be processed from a source to a destination over a given period of time. The formula used for the rate of throughput is bits per second (bps), bytes per second (Bps), or data packets per second (pps).

    Error Rate

    The error rate is the ratio of incorrectly transferred bits to the total number of bits received in the transfer, expressed in a percentage. This can also be measured at a packet level instead of by bits, called the Packet Error Rate. Errors can be caused by interference, noise, faulty devices, and congestion. A high error rate indicates an unreliable connection.

    Round Trip Time (RTT)

    RTT is a measurement in milliseconds of how long it takes a network request to go from its starting point to its destination and back to the starting point, or round trip. For example, RTT can measure how long it takes between when a browser sends a request to when it receives a response from a server. This metric helps network administrators understand the speed of page load time and the health of specific connections. A reduced RTT also means a reduction in network latency.

    Retransmission Rate

    Retransmission rate, also known as TCP retransmission, is what happens when packets that are dropped, damaged or held back due to buffering get resubmitted. Each TCP segment has a sequence number, if there is a gap in the numbers received, retransmission will occur. A retransmission rate above 2% impacts the user experience. Excessive retransmission can indicate packet loss or slow application performance that runs out the TCP timer.

    Time to First Byte (TTFB)

    TTFB measures how long it takes the first byte of an HTTP request to be received by the client’s browser. This measurement can tell network admins how responsive a webserver is to a site visitor’s browser request. TTFB should be 200 milliseconds or less. Slower TTFB can be caused by high traffic, network issues, server misconfiguration, or an overkill of dynamic content on a website that slows load time.

    Benefits of Using Network Performance Metrics

    Advanced Network Visibility

    Network performance metrics give your team insights into failing devices and saturated links and provide notice when you might be outgrowing existing resource allocation for different sites or applications. Without network performance metrics it would be impossible to measure network health and performance over time.

    Improved Network Troubleshooting

    Network performance metrics can indicate potential trouble and move network troubleshooting into a more proactive than reactive activity for NetOps teams. Metrics like packet loss and round trip time (RTT) are critical to understanding where bottlenecks are happening in a network so they can be effectively addressed.

    Access to Network Trends Analysis

    Network performance metrics gathered over time can reveal important network trends like peak traffic hours or can help teams reevaluate QoS policies for more efficient routing.

    Benefits of Using Network Performance Metrics

    Advanced Network Visibility

    Network performance metrics give your team insights into failing devices and saturated links and provide notice when you might be outgrowing existing resource allocation for different sites or applications. Without network performance metrics it would be impossible to measure network health and performance over time.

    Improved Network Troubleshooting

    Network performance metrics can indicate potential trouble and move network troubleshooting into a more proactive than reactive activity for NetOps teams. Metrics like packet loss and round trip time (RTT) are critical to understanding where bottlenecks are happening in a network so they can be effectively addressed.

    Access to Network Trends Analysis

    Network performance metrics gathered over time can reveal important network trends like peak traffic hours or can help teams reevaluate QoS policies for more efficient routing

    FAQs

    What are important performance metrics for network operation centers (NOCs)?

    Network utilization metrics are important for NOCs to quickly resolve tickets and to understand the severity of the specific issue reported. Top network metrics that NOCs look at include

    • Packet loss
    • Application availability
    • Network availability
    • Latency
    • Equipment health

    What are the best ways to present network performance metric results?

    Network performance metrics can be delivered in daily reports, they can be delivered in visual charts, or even presented live with a network topology mapper. Having an NPM solution that gives you choices over the presentation of network performance metrics allows you to tailor your reporting presentation based on individual preferences or situational needs.

    How do you measure network performance metrics?

    Network performance metrics can be measured using free or premium tools, both standalone or combined into a platform. Multiple network performance metrics are included in the purchase of NPM platforms, but there are stand-alone tools that can be found for one-off performance metrics like jitter, packet loss, or latency.

    Here’s an example of a free stand-alone tool that allows you to test your latency using an internet speed test which uses a ping to determine your upload, download speed, latency, IP address, and server location.

    While free tools are helpful in one-off situations, stringing together several of these is difficult to manage or pool together for a unified network perspective.

    Most organizations invest in a platform that correlates several network performance metrics into one platform, this is called an NPM or a network performance monitoring platform. It’s a comprehensive solution that combines network performance metrics into a unified dashboard for a thorough and cohesive understanding of network health.

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