In data center administration, network traffic can be characterized as being either north-south or east-west. North-south describesclient-to-servertraffic that moves between the data center and a location outside the network. North-south traffic is typically depicted vertically to illustrate traffic ...
Network traffic is the data moving across a computer network at any given time. Learn how monitoring traffic can improve network performance and security.
Network traffic refers to the amount ofdatathat is moving across anetworkat a given point in time. Network traffic may also be referred to as network activity, network load, data traffic, or simply traffic. Advertisements When data travels over a network, it isbroken down into small unitscall...
Network bandwidth planning: Users can check long-term traffic data in reports, the traffic distribution of each service on key links in each month, and whether the bandwidth is properly allocated to key services. They can also check whether non-key services occupy a large amount of bandwidth, ...
Network traffic is the movement of data packets from one endpoint to another over a network. Learn more through our in-depth breakdown here.
The ArcGIS Network Analyst extension allows you to use both live and historical traffic information to model the dynamic costs of traveling on network elements.
Your network is a rich data source. Network traffic analysis (NTA) solutions--also referred to as Network Detection and Response (NDR) or Network Analysis and Visibility (NAV)--use a combination of machine learning, behavioral modeling, and rule-based detection to spot anomalies or suspicious ac...
Network traffic analysis is an essential way to monitor network availability and activity to identify anomalies, maximize performance, and keep an eye out for attacks. Alongside log aggregation,UEBA, and endpoint data, network traffic is a core piece of the comprehensive visibility and security analys...
Contextualize data: On its own, data about network traffic is of limited value. You must contextualize it by comparing it to other data sources, such as endpoint logs and metrics, to determine how unusual traffic patterns correlate with other events. For example, a spike in dropped packets cou...
network traffic analysis may produce alerts of varying levels of severity. For example, a sudden flood of data associated with a suspected DoS attack is a more serious risk than a moderate latency increases for a non-critical application. It's important to know which types of traffic-related ...