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From daemeon reiydelle <daeme...@gmail.com>
Subject Re: Looking for feedback on automated root-cause system
Date Wed, 20 Feb 2019 00:27:21 GMT
Welcome to the world of testing predictive analytics. I will pass this on
to my folks at Accenture, know of a couple of C* clients we run, wondering
what you had in mind?


*Daemeon C.M. Reiydelle*

*email: daemeonr@gmail.com <daemeonr@gmail.com>*
*San Francisco 1.415.501.0198/London 44 020 8144 9872/Skype
daemeon.c.m.reiydelle*



On Tue, Feb 19, 2019 at 3:35 PM Matthew Stump <mstump@vorstella.com> wrote:

> Howdy,
>
> I’ve been engaged in the Cassandra user community for a long time, almost
> 8 years, and have worked on hundreds of Cassandra deployments. One of the
> things I’ve noticed in myself and a lot of my peers that have done
> consulting, support or worked on really big deployments is that we get
> burnt out. We fight a lot of the same fires over and over again, and don’t
> get to work on new or interesting stuff. Also, what we do is really hard to
> transfer to other people because it’s based on experience.
>
> Over the past year my team and I have been working to overcome that gap,
> creating an assistant that’s able to scale some of this knowledge. We’ve
> got it to the point where it’s able to classify known root causes for an
> outage or an SLA breach in Cassandra with an accuracy greater than 90%. It
> can accurately diagnose bugs, data-modeling issues, or misuse of certain
> features and when it does give you specific remediation steps with links to
> knowledge base articles.
>
> We think we’ve seeded our database with enough root causes that it’ll
> catch the vast majority of issues but there is always the possibility that
> we’ll run into something previously unknown like CASSANDRA-11170 (one of
> the issues our system found in the wild).
>
> We’re looking for feedback and would like to know if anyone is interested
> in giving the product a trial. The process would be a collaboration, where
> we both get to learn from each other and improve how we’re doing things.
>
> Thanks,
> Matt Stump
>
>

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