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DHagar
DHagar
8/12/2016 8:21:37 PM
User Rank
Platinum
Re: DevOps Potholes
@Mike, great insight and analysis.  I agree that there are potholes and that we are making "incremental" progress but stopping short of true transformation to new solutions that fully integrate development and operations.  It is as if we are still developing with the same designs and wanting a different result.

You have identified one key barrier, the culture.  The other is the "new learning" that has to take place to truly integrate the knowledge in both and design a true DevOps solution - which is more optimal.

I think this also confirms that we are still deploying technology from a sole capability standpoint, and missing the opportunity to deliver new solutions - that can only take place through true DevOps.  We want to swim the ocean without leaving shore.

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clrmoney
clrmoney
8/13/2016 10:59:06 AM
User Rank
Platinum
Devops
Devops has a lot to offer like mobile video data etc. So I'm not surprised they are in the lead.

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burgundy
burgundy
8/13/2016 2:28:56 PM
User Rank
Steel
convergence
in voice and video is possible .. see cloud providers. in fact more interesting is the IT convgence in storage, compute, ...

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JohnBarnes
JohnBarnes
8/13/2016 7:49:09 PM
User Rank
Platinum
Reflogging my favorite horse
Because I'm really not totally sure he's dead yet ...

A model very like DevOps is already there in some of the contemporary data-science oriented programming languages, most notably R.  If I've got a gigantic database, and R and the skills for it (and a machine fast and capacious enough), you can ask almost anything and if the answer is latent in the database, I can hand type a sequence of commands, executing each as I go, and get you that one-time answer. If you ask me the same question several times in a row, I can go back to my recordings of my process, paste directly from the recordings into an executable file, and voila! program.

Or in short, all the work I did on the one-off version (which is ops) is immediately transferable to the now-to-be-standard-forever app (which is dev).

It should be added that this works brilliantly in practice.


DevOps is just the rest of the industry catching up with data analytic software ... another case of a good trick that proves extremely contagious.

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mpouraryan
mpouraryan
8/15/2016 4:59:26 AM
User Rank
Platinum
Re: DevOps Potholes
Isn't that what, in fact, Transformation is supposed to be?  We have to risk--but it appears that the Poll indicates otherwise.

 

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DHagar
DHagar
8/15/2016 12:57:51 PM
User Rank
Platinum
Re: Reflogging my favorite horse
@JohnBarnes, data analytics software has truly opened up new opportunities for DevOps.  I believe we haven't even scratched the surface on the what can now be accomplished.

As always, well stated!

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DHagar
DHagar
8/15/2016 1:01:17 PM
User Rank
Platinum
Re: DevOps Potholes
@mpouraryan, well there you go - exactly!  We want new benefits and new opportunities without risk - so we are holding on to the limits of what already exists.

The leaders will be those who truly create the future!

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JohnBarnes
JohnBarnes
8/15/2016 2:45:18 PM
User Rank
Platinum
Re: Reflogging my favorite horse
DMHagar, In many ways it is just AI getting more human; instead of a human figuring out the whole task and coding it, the machine just records and copies what the people do until it can do the job by itself. Less and less like programming a machine and more and more like training an apprentice.

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mhhf1ve
mhhf1ve
8/15/2016 3:39:16 PM
User Rank
Platinum
Accenture blog nails it.
> "... Sustainability is key. Too many "dish of the day" methodologies come and go, failing to deliver promised value simply because they are mandated by leadership without understanding how they are embedded into the fabric of "how things are done here"—the culture. ...."

The culture of the organization will trump all. If there's not a tipping point of "devops" people, the fad will come and go -- and revert back to whatever worked "good enough" in the past.

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DHagar
DHagar
8/15/2016 4:05:50 PM
User Rank
Platinum
Re: Reflogging my favorite horse
@JohnBarnes, the advancements in machine learning will also open up the door to new users; like the PC opened the door to new users of computers - beyond the previous use dependent on mainframes.

Which makes us wonder how far the machine intelligence/human intelligence can advance us?

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