Route Analytics and Netflow - Technology For Managing IP Network Unpredictability

These days, businesses increasingly rely on applications to deliver top and bottom line results from greater business process automation, and people consume vast and growing amounts of IP-based mostly media. Consequently, enterprises and service providers are building larger and additional redundant networks to ensure traffic delivery. Sadly, the resulting network complexity is inflicting them to hit the bounds of ancient network management technology. The rationale: IP isn't inherently predictable.

Why Are not IP Networks Predictable?
IP's distributed routing intelligence makes it economical and at the same time unpredictable. IP routing protocols automatically calculate and manage traffic routes or methods between points within the network based on the newest known state of network elements. Any changes to those elements cause the routing topology to be recalculated dynamically. Whereas this keeps IP networks highly resilient in case of network failures, it conjointly creates endless variability within the active routing topology. A giant network will be in anyone of various attainable active routing topology states. Additionally, application traffic patterns are by nature unpredictable. Network issues - router software bugs, misconfigurations, hardware that fails (often after exhibiting intermittent instability) - will add to that unpredictability.

The Challenge of Managing Complex IP Networks
With routing and traffic changing dynamically over time, it's a true network management challenge to ensure predictably high application performance. Take troubleshooting for example: when an finish user reports an application performance problem that does not stem from a clear hardware failure, the root cause of the matter can be quite difficult to work out during a giant, redundant network. IT engineers don't understand the route the traffic took through the network, the relevant links servicing the traffic, or whether or not those links were congested at the time of the problem. Even determining that devices serviced the traffic at the time of the matter in an exceedingly advanced network will be nearly impossible.

Ancient Network Management Solely Goes to a Point
The overarching architectural principle of ancient network management is to collect data on an enormous range of different "points" within the network, then correlate varied purpose information to infer clues regarding service conditions. They key mechanism for doing this can be the Simple Network Management Protocol (SNMP), which gathers info from point devices such as routers, switches, servers and their interfaces.

Clearly, "point data" is helpful - for example, an interface or device that fails, runs out of memory, or is congested with traffic is vital to understand about. However, the add of all this point knowledge is a lot of but the whole picture. Just knowing that an interface is stuffed with traffic does not tell you why it's full. Where is that the traffic returning from and visiting? Is that the traffic sometimes on this interface, or was there a change within the network or elsewhere that caused it to shift to the present interface? If thus, from where, when, and for a way long? Without answers to those queries, there's no real understanding of the behavior of the network as a full, which robs the point knowledge of much of its contextual meaning. This lack of visibility not only impacts operations processes like troubleshooting, but also engineering and planning. For example, while not perceive network-wide dynamics, amendment management and planning will be fraught with errors that stem from not knowing how changing a particular device can impact the whole network's routing and traffic.

Route Analytics with Netflow-Visibility into Network-Wide Routing and Traffic Dynamics
Luckily, there's a way to see into the dynamic behavior of IP routing and traffic flows using a combination of route analytics and Netflow technologies. Route analytics provides precise understanding of network-wide routing by passively peering with selected routers via routing protocols such as OSPF, IS-IS, EIGRP and BGP to receive all offered routing info, then computing an invariably-up-to-date, network-wide map of all routers, links, advertised and withdrawn network addresses, and traffic paths. Every time the network changes in a means that impacts routing, the routing protocols provide real-time updates that keep route analytics fully accurate. Since route analytics understands all methods, it can terribly efficiently offer network-wide traffic data on all links by collecting Netflow knowledge at key traffic sources like knowledge centers and Net peerings, then map traffic flows over their actual ways

The Advantages of Route Analytics
Route analytics provides a replacement and far a lot of useful image of network and repair behavior that helps network managers guarantee that their networks are adequately designed to deliver a complex, changing matrix of application traffic at various service levels. As an example, engineers can use route analytics to model a amendment of high priority traffic caused by the anticipated rollout of a brand new application. The simulated new traffic will be overlaid not on some abstract model, however on the traffic and routing matrix as it actually exists in the network. Relying on what it shows, engineers can catch potential impacts before moving ahead, or proceed with confidence in the rollout, knowing that the network will continue to support existing application requirements.

Troubleshooting additionally gets much faster, since engineers can see the route/path that a explicit application traffic flow traveled across the network at the time a downside occurred, then analyze all links to see if key applications or CoS were breaching their volume thresholds. If there was congestion, any analysis will show whether or not a routing issue caused traffic to shift, or, if extra, surprising traffic was gift, where it originated, its destination and the route that included the problem link. Whether or not a routing or traffic drawback is not the foundation cause, knowing the precise path provides the most accurate doable beginning point for examining devices and interfaces concerned in servicing application traffic.

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