Every time we measure and graph something new, we discover something we never could have predicted by looking at the hing we set out to graph.
--dave
Beyond getting acquainted with a new dataset? I'm a transit network that supports, among other traffic types, science flows. I think new monitoring methods can help identify targets for intervention.
On Fri, Feb 26, 2021, 4:06 PM Toke Høiland-Jørgensen <toke@toke.dk> wrote:
TJason Iannone <jason.iannone@gmail.com> writes:
> I ended up cloning the pping repo and running make locally.
>
> Installing was a few steps:
>
> 1. mkdir ~/src/libtins/build
> 2. cd ~/src/libtins/build
> 2. git clone https://github.com/mfontanini/libtins.git
> 3. make
> 4. sudo make install
> 5. cd ~/src
> 6. git clone https://github.com/pollere/pping.git
> 7. cd pping
> 8. make
> 9. ./pping
>
> The promise of this, as Kathleen Nichols points out, is that we can
> passively monitor production flows to get a novel sense of end to end
> performance per flow. I don't know of any other passive monitoring
> technique, beyond a port mirror + a whole gang of systems, that can provide
> this level of detail. Please enlighten me if I'm wrong. The only other
> passive monitoring mechanisms I'm aware of are SNMP polling, IPFIX/*Flow,
> and Streaming Telemetry Interface. None of those systems provide end to end
> flow performance details. The standard in-band active monitoring tools are
> good for determining node to node and full path metrics, but this provides
> a more complete picture of end to end performance beyond active
> y.1731/802.3ag/OAM probes. I'm a little surprised that I'm only learning
> about it now.
What's your use case? :)
-Toke
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-- David Collier-Brown, | Always do right. This will gratify System Programmer and Author | some people and astonish the rest davecb@spamcop.net | -- Mark Twain