SD WAN migration requires careful planning and a visibility-driven process to ensure it realizes the cost savings and performance improvements it promises to deliver. Monitoring before, during and after migration ensure that IT professionals can identify risks and mitigate bottlenecks and optimize performance, proactively.
So if we take it as an example, the an SD WAN migration when you move to SD from MPLS eventually with some internet breakout the there’s the first thing you probably want do is having a baseline of. You know how whole, your sites connect to different places to the data center, but also to the SaaS and cloud through the for the internet breakout you already stopped losing visibility to the encryption on anything that goes towards the internet or SaaS or cloud platform.
But when you plan on migration, you probably want to know where is the original baseline. So what are the response times that my current viSaaS are getting so that once you introduce, as they want as a solution to reduce the cost and increase the Ference levels or drop the restaurant sign for your users you probably won know exactly what changes where problems occur, how you can fine tune.
Your SD WAN configuration to minimize latency to the different workloads you connect to. So your data center, legacy applications, your SaaS and your cloud. And because you use multiple delays you probably need to have some form of measurement to understand what is the best delay to reach diesel, that destination.
Not always through an SD WAN tunnel, but through a simple internet breakout. And if you don’t have that feedback, there’s no chance you’ll going to be able to optimize it.