THANK YOU FOR SUBSCRIBING
In some situations, the SD-WAN platform can use the analyzed data to modify the WAN to boost application performance automatically.
FREMONT, CA: Before one understands SD-WAN analytics, they need to know what is software-defined WAN. Generally, SD-WAN is a WAN architecture that has gained tremendous popularity in the IT industry over the last few years. The system intelligently optimizes the transfer of mission-critical packets through two or more paths, like Multiprotocol Label Switching MPLS or the public internet, to the same destination on the other hand.
This instance is achieved by continually tracking each direction to the final destination, depending on packet drops, bandwidth, jitter, and round-trip times. Simultaneously, packets are detected and categorized based on which network administrators have configured time-sensitive or mission-critical data. SD-WAN then forwards the most important packets over the link defined as the most optimal, thus transferring the lower-class packets to sub-optimal connections.
SD-WAN analytics uses raw network data generated by networking components and combs to deduce how well the network operates, among other factors. For the most part, analysis and assumptions are taken from AI, which can then track, troubleshoot and boost efficiency around the WAN.
How SD-WAN Tools Get Their Data
SD-WAN analytics taps several channels to collect output data, including basic network management protocol metrics, logs, NetFlow/IP flow information export, and DNS data. More advanced network analytics platforms—including most enterprise-grade SD-WAN products—also gather health survey statistics and stream telemetry info. Both are real-time forms of granular data used to provide a much clearer understanding of what is currently happening on the WAN from a results perspective.
In some situations, the SD-WAN platform can use the analyzed data to modify the WAN to boost application performance automatically. In such instances, it might be up to the human supervisor to manually enforce the improvements that need to be implemented after reviewing the study's findings. In any case, SD-WAN analytics is a helpful method that administrators may use to improve end-user efficiency across costly WAN connections.