t; > >
> > > > The images from the preview email do not appear to be displaying. They
> > > > can
> > > > be viewed at:
> > > > https://github.com/jmark99/nifi-images
> > > > From: Owens, Mark jmow...@evoforge.org
> > > &g
to be displaying. They
> > can
> > > be viewed at:
> > > https://github.com/jmark99/nifi-images
> > >
> > > From: Owens, Mark
> > > Sent: Monday, August 19, 2019 2:25 PM
> > > To: dev@nifi.apache.org
> > > Subject: RE: Re:[EXT] [D
d at
> > https://github.com/jmark99/nifi/tree/time-to-overflow
> >
> >
> >
> > I welcome your (or any others) feedback on this effort.
> >
> >
> >
> > Thanks,
> > Mark
> >
> >
> >
> > P.S. If the images are not displ
>
> From: Owens, Mark
> Sent: Monday, August 19, 2019 2:25 PM
> To: dev@nifi.apache.org
> Subject: RE: Re:[EXT] [DISCUSS] Predictive Analytics for NiFi Metrics
>
>
> Hi Yolanda,
>
>
>
> I've been working on a feature that appears to possibly overlap with the
&
The images from the preview email do not appear to be displaying. They can be
viewed at:
https://github.com/jmark99/nifi-images
From: Owens, Mark
Sent: Monday, August 19, 2019 2:25 PM
To: dev@nifi.apache.org
Subject: RE: Re:[EXT] [DISCUSS] Predictive Analytics for NiFi Metrics
Hi Yolanda
19, 2019 11:29 AM
To: dev@nifi.apache.org
Subject: Re:[EXT] [DISCUSS] Predictive Analytics for NiFi Metrics
Hello All,
I just wanted to follow up on the discussion we started a couple of weeks ago
concerning an analytics framework for NiFi metrics. Working with Andy
Christianson and Matt
Hello All,
I just wanted to follow up on the discussion we started a couple of weeks
ago concerning an analytics framework for NiFi metrics. Working with Andy
Christianson and Matt Burgess we shaped our ideas and drafted a proposal
for this feature on the Apache NiFi Wiki [1] . We've also begun
Hi Craig,
Thanks for your feedback and insight on your use cases. What version of
MiNiFi are you running? Concerning performing edge ML this may be possible
for you with MiNiFi C++ version 0.6.0. That release supports the creation
of python processors which can be added to your flow to execute
As someone who operated a 24/7 mission-critical NiFi flow, this feature would
have been a life saver. If I'm heading home on a Friday, it would be great to
have some blinking red lights to let me know that the system predicts that it
is going to experience backpressure sometime over the
If you could share a bit more details about your OPC and Modbus usage, that
would be highly appreciated!
On Wed, Jul 31, 2019 at 12:01 PM Craig Knell wrote:
> Sounds. Great
>
> Let me know if you need some help
>
> Best regards
>
> Craig
>
>
>
> > On 31 Jul 2019, at 17:31, Arpad Boda wrote:
>
Sounds. Great
Let me know if you need some help
Best regards
Craig
> On 31 Jul 2019, at 17:31, Arpad Boda wrote:
>
> Craig,
>
> OPC ( https://issues.apache.org/jira/browse/MINIFICPP-819 ) and Modbus (
> https://issues.apache.org/jira/browse/MINIFICPP-897 ) are on the way for
> MiNiFi
Craig,
OPC ( https://issues.apache.org/jira/browse/MINIFICPP-819 ) and Modbus (
https://issues.apache.org/jira/browse/MINIFICPP-897 ) are on the way for
MiNiFi c++, hopefully both will be part of next release (0.7.0).
It's gonna be legen... wait for it! :)
Regards,
Arpad
On Wed, Jul 31, 2019 at
Hi Folks
That's our use case now. All our Models are run in python.
Currently we send events to the ML via http, although this is not optimal
Our use case is edge ML where we want a light weight wrapper for
Python code base.
Jython however does not work with the code base
I'm think of changing
Definitely something that I think would really help the community. It
might make sense to frame/structure these APIs such that an internal option
could be available to reduce dependencies and get up and running but that
also just as easily a remote implementation where the engine lives and is
Yolanda,
I think this sounds like a great idea and will be very useful to admins/users,
as well as enabling some interesting next-level functionality and insight
generation. Thanks for putting this out there.
Andy LoPresto
alopre...@apache.org
alopresto.apa...@gmail.com
PGP Fingerprint: 70EC
Hello Everyone,
I wanted to reach out to the community to discuss potentially enhancing
NiFi to include predictive analytics that can help users assess and predict
NiFi behavior and performance. Currently NiFi has lots of metrics available
for areas including jvm and flow component usage (via
16 matches
Mail list logo
