Great write up. I am not fan of Churchill but respect him for lot of things on which he came out right. But his single minded (extreme conservativism) view point of saving few great to save others at later time is disaster. We can support of oppose him, but the modern conservative thought process is win for Churchill (including India). I am not fan and avoid reading anything Tharor. That discussion for some other day :)

On the other hand, these points are immaterial wrt your writing. You put together your thought process and view point strongly with great linguistic skill. Looking forward for more content from you. Cheers bud.

Edge Computing Architectural Decision Points

Data Centers and Public Cloud dominated last 2 decades of IT/Software technology evolution and deployments. Next decade will be moving towards ubiquitous “Cloud” with ‘Edge Computing”.
The “Omni present” Edge Computing domain will evolve with its own inertia & contours, and will become the key agent of the Digital Transformation across all the industries.
Along with Iyengar Ashok, I co-authored the blog on the challenges and decision points every architect will face while designing and implementing Edge domain/ecosystem.
Thanks Iyengar Ashok, IBM and Kyndryl for providing an opportunity for publishing.
More to come in future.
#computing #technology #virtualization #digitaltransformation #edge #cloud #devops #Networking #EdgeComputing #IBM #Kyndryl #architect #Secuirty

I wrote this blog in 2006, almost 15years back. I am following 2 companies very closely from last 2 decades, Apple and Microsoft. Both played innovator role as well as big player in almost all the digital age. But Apple lost the personal computing era after initially kick starting. Colorful…

Nice read on Jugaad and Agile:

My views:
Agile with “Jugaad”
I used to be a fan of Jugaad concepts, but ended up (opposite end of spectrum) critique. The reason was, the concept was used by corporations as well as SME domain for cost cutting and throttling the innovation. The reason…

Someone asked me the difference between AI (Artificial Intelligence) and ML (Machine Learning) in few lines. My response was:

AI: Predict with “Known Predictability methods/algorithms” used on huge data set where humans are inefficient to find the “Information”

ML: Determine whether there is any “Information” and the “Predictability methods” to find that information from the huge data set. After that, it’s all AI.

(Part-III): Mobility World and the fight for the Future

With 5G is about to become a dominant (or atleast main emerging mobile standard), Cloud availability as well as adaptability becomes the norm. Artificial Intelligent (AI)/Machine learning(ML) have become a part of software deployment ecosystem and machine-to-machine communication including IoT…

(Part-II): Fairchildren Fiefdom and rise of Silicon Valley

By the early 2000s, it was becoming clear that the connected Mobile world will rule the future. Some of the researchers, scientists and companies were talking about distributed/grid computing from the early years of computing. But the lag of “always”, “affordable”…

Part- I

The move of Shockley to the west coast and split of “Traitorous eight” with Shockley Semiconductor didn’t just impact the single or few companies, but changed the landscape of industry. Fairchild started by “Traitorous eight” and its spin off led to the next generation of silicon revolution…

In essence, Silicon is ruling the high tech market. The miniaturization as well as commoditization of silica led to moving of the high tech industry from mainframe/corporation owned powerful computers to omni present powerful mobile devices and “theoretically” unlimited computing centers (“Cloud”). …

“Application platform and/or Cloud (Infrastructure)” is chicken and egg problem for the modern Business world — Yours truly ASB

I love data from childhood, firm believer of data centric decision making and holding on to the conclusions. Data visualization is my new passion to communicate your message, to present your view, to create the notes and to visualize the abstracts.

This is simple mind map to provide high level pointers of AWS Well Architected (TM) Framework for AWS Cloud practice.

2-level mind map of AWS Well Architected (TM) Frame work.

Ref link/s

Avneesh Balyan

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store