Monoliths vs Microservices

“For a decade, the dominant Silicon Valley mantra has been: monoliths don’t scale; microservices do. Netflix itself helped popularize this philosophy. Its migration from a monolithic Java app to a sprawling microservices ecosystem became the canonical case study taught at conferences and in blog posts worldwide.

But here’s the twist: buried in the operational reality of running one of the most complex streaming platforms on Earth, Netflix accidentally revealed a counterintuitive truth — under certain conditions, monoliths actually scale better.” Link

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“Jobs are not disappearing, mediocrity is”

Marco Montali: “Despite the recurring, unsupported hyped statements on disappearing jobs: jobs are not disappearing, mediocrity is. A mediocre programmer, a mediocre journalist, a mediocre expert will likely be out-of-market. It is now time to tell people that they have to follow their talents in the boldest possible way. Talent and knowledge will not be beaten: they will become more and more essential.Link

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DecisionCAMP 2025 is now history — what a journey it’s been!

DecisionCAMP 2025 is now a chapter in the history of the Decision Intelligence movement. You can view all presentation slides and watch all recordings from the Program or directly on our YouTube Channel at https://www.youtube.com/c/DecisionCAMP. Here are the Closing Remarks delivered by the event Chair, Dr. Jacob Feldman. You still may provide your answers to the event poll “Using LLM-based tools in the Decision Intelligence context“. We will publish the final results in a week.

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DecisionCAMP starts on Sep 22

DecisionCAMP is just around the corner—kicking off Monday, September 22 at 9:00 AM EDT.
See Program and preview presentation slides at https://decisioncamp2025.wordpress.com/program/
You can still receive an invitation by completing your FREE registration: https://decisioncamp2025.wordpress.com/registration/

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Want to build real decision intelligence?

Here is Adam DeJans’ advice: https://shorturl.at/x2OzU

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Can LLMs create something truly new?

See Martin Milani‘s answer: “Novelty is not born from history. It arises from logic, imagination, and reasoning: asking “what if?”, testing counterfactuals, building on principles, and pushing beyond what data alone can reveal. Every major leap in science and technology — from Newton’s laws to Gödel’s incompleteness proofs — came not from extrapolating datasets, but from reasoning that transcended them.

And Einstein? He didn’t have mountains of data. What he had were logical thought experiments chasing beams of light in his imagination — that reshaped physics with reasoning and logic. As he famously said: ‘Imagination is more important than knowledge. For knowledge is limited to all we now know and understand, while imagination embraces the entire world, and all there ever will be to know and understand.'” Link

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LLM humanizes Optimization Solver’s results

Tiago de Morais Montanher altered the data for the classic transportation problem to render the problem infeasible. Then he called the conflict refiner from CPLEX to obtain a list with 5 points like the one below:

_TConflictConstraint(name=’capacity_seattle’, element=docplex.mp.LinearConstraint[capacity_seattle](quantity_seattle_new_york+quantity_seattle_chicago+quantity_seattle_topeka,LE,350), status=<ConflictStatus.Member: 3>)

Finally, he asked Perplexity to clarify these conflicts for decision-makers and propose actions to rectify the formulation. The results were impressive: Link. Also see Adam DeJons’s post

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When good intentions backfire

Cobra Effect

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“We replaced AI workers with human interns..”

Link

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Gartner Stock Down 49%

Forbes: Gartner Stock Down 49%. Learn Why, What CEO Can Do, And Whether To Buy $IT

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