I am allowed to share the network design principals, but not any details on relevant ip addressing, location names or devices names. The network described used in this blog post is an existing customer network (large enterprise, > 50K employees). That’s why I’m sitting here and trying to give some insights on what and how we have realized this. I promised to Hanoh and Ido (members of the TRex team) to give some feedback on our experiences using TRex in a CPOC (Customer Prove of Concept) at CISCO in London and they asked me to share our experiences in a blog. Thanks to the fantastic support of the TRex developers, we were able to implement a quite complex network testing scenario. In our current project we’re heavily using TRex for network testing. They even implemented some features which we needed to perform tests using the setup described in this blog (so here goes a big thank you all! to the TRex development team!!!).įor further details on features, functionality and installation – please see their website. Bugs are resolved lightning fast and new features come around every few weeks. I always got a reasonably fast and accurate answer to my questions (if only the commercial support teams would react the same way…). One of the many outstanding features from my point of view is (besides others) the complete programmability using a python API.Īnother important thing about TRex is, that it’s actively developed by a team, that is very friendly and helpful and you don’t have to bother asking even beginner questions (or FAQs) on their google-group mailing-list. Depending on the hardware used, it’s possible to generate up to 200 Gbps with one UCS server. TRex can be run on commodity hardware (x86 based servers – bare-metal or VM). So here’s just a minimal summary on TRex.Īccording to their website, TRex is an “open source, low cost, stateful and stateless traffic generator”, programmed by a CISCO-team. If you stumble across this blog, you’re most likely already familiar with TRex, or at least, know what it is and for what purposes it can be used for. 3.7 Performing ARP/ND and multicast JOIN.
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December 2022
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