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Ex-Director of Product - Content and Community at DZone, Inc.
Research Triangle Park, US
Joined Aug 2013
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Articles
Trend Reports
Enterprise Application Integration
As with most 2022 trends in the development world, discussions around integration focus on the same topic: speed. What are the common integration patterns and anti-patterns, and how do they help or hurt overall operational efficiency? The theme of speed is what we aim to cover in DZone’s 2022 "Enterprise Application Integration" Trend Report. Through our expert articles, we offer varying perspectives on cloud-based integrations vs. on-premise models, how organizational culture impacts successful API adoption, the different use cases for GraphQL vs. REST, and why the 2020s should now be considered the "Events decade." The goal of this Trend Report is to provide you with diverse perspectives on integration and allow you to decide which practices are best for your organization.
Comments
May 12, 2021 · Rajeev Bera
Great reference material! Thanks for sharing!
Mar 03, 2021 · Justin Albano
Great point and I think ultimately I agree with what you are saying (thus my original recognition of over-simplifying). My original comment definitely treats things in a vacuum. While it is easy to see large corporations as a "machine", ultimately they are all made up of people, and so, to your point, you can't really have an honest discussion about motives without also addressing the impact of human nature on the entire system, which I think Justin hit on quite nicely in the article.
Mar 03, 2021 · Justin Albano
Good point Willie. The way I see it, either way, some set of users will be driven away. If non-mainstream voices are amplified, it may be offputting to the mainstream (and larger, more profitable) user base. If those voices that are counter to the mainstream are suppressed, for sure the platforms will lose users, but it may be calculated as an overall smaller loss. Given this set of assumptions, I would argue that suppression of certain voices (that often represent a minority of users) is done as a calculated risk to mitigate potentially offputting the core userbase (again, where the bulk of the profit is made) as well as to deter government intervention, both of which would lead to decreased profits. While I agree with Justin's premise entirely concerning the fallacies of speech suppression, I find it hard to believe that any company engaging in that behavior is doing it out of anything other than self-interest and self-preservation, where measured tradeoffs must be made to optimize the maximum potential profits.
Mar 01, 2021 · Justin Albano
Very thoughtful and timely article Justin. Thanks for sharing.
From what I can tell, if you look at the big platforms, they are akin to finely tuned (and always improving) algorithms that optimize for a specific outcome: profit. If you accept that assumption, then logically the morality of any given policy or feature set is only a consideration in so much as it affects the optimization of the algorithm for the desired outcome. Given this context, the question each platform faces is not whether or not to curtail free speech because it is the morally right thing to do, but rather, how does one policy or the other impact the algorithm optimizing for profit. If a finely tuned algorithm calculates that curtailing certain speech is the optimal route to profit, then it is what will happen, because that is what the “algorithm” is designed for.
I guess what I’m trying to say is this: if you can accept that the big platforms are big because they are so good at optimizing for one outcome, then the only way to get a different outcome is to change the variable that they are optimizing for. Without doing that, they will continue to play the game according to the stated rules of said game.
Of course, this argument presupposes that profit is the only desirable outcome for a company. This is probably an over-simplification, but theoretically, it is how the market works. I don’t know the ultimate answer here, but I think it is the primary reason there are constant rumblings of regulation of big tech.
Note: I am not making any judgment on the merits of capitalism. I am simply observing the cause and effect of optimizing a system for a specific outcome.
Jan 26, 2021 · Tyler Hawkins
I can't help but think this is a pointed critique of someone you work with...and it makes me chuckle. I hope whoever this is directed towards reads it!
Jun 11, 2020 · Moe Long
Thanks Moe, I'm doing well! Glad to see you're still creating great content, keep it up!
Jun 11, 2020 · Moe Long
Nice article Moe!
Feb 20, 2019 · Sibanjan Das
Very cool tutorial. Thanks for sharing!
Apr 11, 2018 · Michael_Gates
DevNeat!
Feb 01, 2017 · Kellet Atkinson
Great suggestion Anjan! I will share with our editorial team. Thanks!
Dec 22, 2016 · Sibanjan Das
This is awesome...thanks for sharing Sibanjan! Good luck for the remainder of the contest!
Dec 06, 2016 · Kristen Pagan
Hi Stas, sorry to hear that you feel that way and thanks for being such a loyal DZone member! If you'd like to share your thoughts on how we can improve, feel free to email me directly at kelleta@dzone.com.
On that note, I certainly encourage you to contribute. Our content stream relies on contributions from people like you, so you are the first line in maintaining the quality of DZone.
Dec 01, 2016 · Michael Tharrington
I love reading Adi's articles. Keep up the great work!
May 17, 2016 · Matthew Casperson
This is a very interesting practical application of cool technology. Clearly highlights the benefit of non-tabular data relationships. Thanks for sharing!
Apr 08, 2016 · Michael Tharrington
Thanks for the update Michael. "Instant Run" looks like a nifty feature!
Jul 23, 2015 · Matt Werner
Very cool! Love the use of the "periodic table" format.
Jun 29, 2015 · mitchp
Sweet and pure!
Oct 07, 2014 · Tony Thomas
Oct 07, 2014 · Kellet Atkinson