By having historical performance of the network, it is very easy to see when or where it is being stretched too thin or overwhelmed and to easily substantiate upgrades. As performance degrades, it can be easy to set thresholds that show when, where and why the network is exceeding it’s capability. Slow network links cause severe user frustration that impacts productivity and causes delays.Īs the business grows, the network needs to grow with it to support more computing processes, employees and clients. Downtime that affects customers can result in negative customer experiences and lost revenue. Service outages can cause simple frustrations such as issues when saving opened files to a suddenly inaccessible server or cause delays to business process can impact revenue. So what are the benefits of NetFlow performance monitoring? Understanding the benefits of a properly managed network might be a cost that hasn’t been considered by business managers. NetFlow enables networks to perform IP traffic flow analyses without deploying external probes, making traffic Predictive AI Baselining analytics cheap to deploy even on large network environments. NetFlow allows granular and accurate traffic measurements as well as high-level aggregated traffic collection that can assist in identifying excessive bandwidth utilization or unexpected application traffic.
They can determine the Type or Class of Service (QoS) and group with application mapping such as Network Based Application Recognition (NBAR) to identify the type of traffic such as when peer-to-peer traffic tries to hide itself by using web services and so on. Packet capture tools can extract high granularity from network traffic but are dedicated to a port mirror or a per segment capture and are built for specialized short term captures rather than long historical analyses as well as packet based Predictive AI Baselining analytics tools traditionally do not provide the ability to perform forensic analysis of various sub-sections or aggregated views and therefore also suffer from a lack of visibility and context.īy analyzing NetFlow data, a network engineer can discover the root cause of congestion and find out the users, applications and protocols that are causing interfaces to exceed utilization. Traditional SNMP tools are too limited in their collection capability and the data extracted is very coarse and does not provide sufficient visibility. As organizations continue to rely more and more on computing power to run their business, transparency of business applications across the network and interactions with external systems and users is critical and NetFlow monitoring simplifies detection, diagnosis, and resolution of network issues. NetFlow can provide the visibility that reduces the risks to business continuity associated with poor performance, downtime and security threats.
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