Are You Drinking Your Own DevOps Kool-Aid?
I am starting to get annoyed with the direction of all the DevOps discussions
that fly across my Twitter feed each day.
News Flash! Culture change is nothing new in the enterprise.
Check out my latest rant at the virtulaizationpractice where I discuss how we
over emphasize culture and don’t focus enough on business problems when
The Internet of Things (IoT) is a new hot buzzword and like most buzzwords,
its purpose and definition are grossly misunderstood. When some people hear
the term IoT they immediately associate it with a refrigerator reminding us
to order milk or our Fitbit wearable device tweeting how we just "crushed a
4.1 mile run".
Neither of those use cases are very compelling to most of us which makes it
hard to fathom how experts can predict that by 2020 there will be greater
than a one trillion dollar market that vendors will be trying to claim a
Check out my latest post of Forb... (more)
Unicorns, Horses, ITIL, and Enterprise DevOps
“DevOps” is one of those buzzwords that means everything and nothing at
the same time.
It is like the words “cloud,” “architecture,” and “Internet of
Things”—terms so vague they lead to endless debates between IT people.
DevOps seems to take this verbal sparring to a new level. On top of arguing
over what it means, people also debate the proper method for delivering
DevOps. Notice that “method” is singular, as if there were only one way
to do it.
The following three topics are heavily debated amongst DevOps practitioners,
Making Sense of IoT Data With Machine Learning Technologies
In a previous post I discussed how the Internet of Things (IoT) will
radically change your big data strategy.
Massive amounts of data from sensors, wearable devices, and other
technologies are creating new and exciting opportunities to make better
business decisions in real time.
However, harvesting all of this data is only half of the equation. Making the
data actionable is where real value lies.
Traditionally, companies have mined data to look for trends and
opportunities. In the world of IoT, searching for nuggets of ... (more)
Some companies are still hanging on to the belief that they can manage their
own data centers better than the various cloud providers out there.
This state of denial should all but go away when the influx of petabyte scale
data becomes a reality for enterprises. Enterprises are going to have to ask
themselves, “Do we want to be in the infrastructure business?” because
that is what it will take to provide the appropriate amount of bandwidth,
disk storage, and compute power to keep up with the demand for data
ingestion, storage, and real-time analytics that will serve the business ... (more)