I found the rig of the year.

How true is it ?

Let's get rid of the developer training: Pair Programming

Let's get rid of the software testers: Test First Programming

Let's get rid of the project managers: Agile

Let's get rid of the project planners: Scrum

Let's get rid of the system admins: DevOps

Let's get rid of the security guys: DevOpsSec

Let's get rid of the hardware budget: Bring Your Own Device

Let's get rid of the servers: Cloud Computing

Let's get rid of the other scruffy guys: Outsourcing

Let's get rid of the office space: Home Office

Let's get rid of the whole fucking company: Takeover

Oh no. 😞

Are you sure ?

I use pictures of clouds as the background for anything related to cloud computing

skype interview with chinese it vp,

vp: do u know cow-computing?
me: sorry what?
vp: cow computing
me: really can't hear you, did u mean actual Cow computing?
vp: i mean cow! you know like in the sky.
me: oohhhh, cloud computing.. (face turns red over embarrassment)

Perfect clouding...!!!

Saw a video of an interview on Cloud Computing...
That genius guy says: "Cloud computing is highly risky. Because if it rains, all the data will be lost."

Not using blockchain to color my cryptocurrencies pink so that my AI knows which cloud computing would be best for GDPR

Every job description out there:
" JUNIOR XY position.
Requirements: 50 years experience of Assembly, Java and Masonry, HTML, cloud based computing and artificial intelligence. Must be able to write algorithms like Hummingbird. Fluent in English, Mandarin and Latin. Must have five doctor and two Bachelor degrees. Experience in leading a Fortune 500 company benefitial.
Renumeration: 5 rice grains"

Open source block chain neural network binary tree growth hacker synergy vertically integrating cryptocurrency game changing GDPR compliant internet of things node.js quantum computing start up that'll disrupt and pivot the cloud based ecosystem

Google Cloud Computing Joke!!

Companies: We are commited to linux and it is truly the future!
Developers: Awesome! So are you going to port your most popular softw-
Companies: AI! Machine Leaning! Cloud computing! Streaming!

god i hate it when someone blows a thic vape on my macbook and yells cloud computing

Cloud Computing

Don't mind me, just deploying to the Google Cloud!

This dude, every time he say cloud computing, he points to the sky.

When you realise there is no cloud computing. It's just someone else's computer.

Damn firewalls.

Everybody talking about Machine Learning like everybody talked about Cloud Computing and Big Data in 2013.

I automatically don't trust People who use pictures of clouds on the background for anything related to cloud computing.

That awkward moment when you ask you final year CS project mentor to clone your git repo for his feedback and he says
Oh. CLOUD COMPUTING!!!!
😯

You get the feeling to be an INDIAN.

In an age of GitHub and cloud computing, how can a freelance dev using their own laptop be classed as a security risk?

These crude rules laid down by corporate IT depts just make companies look silly.

> Startup: ok listen up, we got this super cool thing we want to do with Twilio. Doesn't get any easier: some calls to book a restaurant, you ask for booking data and save that on some db.
> iHateForALiving: I'm on it. We got a couple weeks of development, never worked with Twilio, but should be easy enough
> Startup: Hold it big guy, we can't just write code like this. There's this OTHER developer with a super cool framework he wrote himself, it supports OAuth2 and multitenancy, written in Huskell, microservices to authenticate several apps all working concurrently in our environment, some orchestrator, cloud computing on AWS, you're going to love it. There's this Postman project with 200-something calls (the ones I need for my project, one and only consumer for those APIs, are 5 including the login)
> iHateForALiving: You are aware you'll have approximately six clients and they'll pay some 30 bucks each per month, aren't you?
> Startup: You don't understand, this infrastructure is CRITICAL for the future of our company
> ffwd 6 months
> iHateForALiving: guys we had this 2 weeks project and it's taking months, I'm ready, what is going on there?
> Startup: someone killed our DB, the OTHER developer pushed on git the access credentials :(

THE FULL MOON IS DRAWING NEAR AND THE FUCKING WERECODERS STRIKE AGAIN!

What you are expected to learn in 3 years:

power electronics,
analogue signal,
digital signal processing,
VDHL development,
VLSI debelopment,
antenna design,
optical communication,
networking,
digital storage,
electromagnetic,
ARM ISA,
x86 ISA,
signal and control system,
robotics,
computer vision,
NLP, data algorithm,
Java, C++, Python,
javascript frameworks,
ASP.NET web development,
cloud computing,
computer security ,
Information coding,
ethical hacking,
statistics,
machine learning,
data mining,
data analysis,
cloud computing,
Matlab,
Android app development,
IOS app development,
Computer architecture,
Computer network,
discrete structure,
3D game development,
operating system,
introduction to DevOps,
how-to -fix- computer,
system administration,
Project of being entrepreneur,

and 24 random unrelated subjects of your choices

This is a major called "computer engineering"

Anything I (am able to) build myself.
Also, things that are reasonably standardized. So you probably won't see me using a commercial NAS (needing a web browser to navigate and up-/download my files, say what?) nor would I use something like Mega, despite being encrypted. I don't like lock-in into certain clients to speak some proprietary "secure protocol". Same reason why I don't use ProtonMail or that other one.. Tutanota. As a service, use the standards that already exist, implement those well and then come offer it to me.

But yeah. Self-hosted DNS, email (modified iRedMail), Samba file server, a blog where I have unlimited editing capabilities (God I miss that feature here on devRant), ... Don't trust the machines nor the services you don't truly own, or at least make an informed decision about them. That is not to say that any compute task should be kept local such as search engines or AI or whatever that's best suited for centralized use.. but ideally, I do most of my computing locally, in a standardized way, and in a way that I completely control. Most commercial cloud services unfortunately do not offer that.

Edit: Except mail servers. Fuck mail servers. Nastiest things I've ever built, to the point where I'd argue that it was wrong to ever make email in the first place. Such a broken clusterfuck of protocols, add-ons (SPF, DKIM, DMARC etc), reputation to maintain... Fuck mail servers. Bloody soulsuckers those are. If you don't do system administration for a living, by all means do use the likes of ProtonMail and Tutanota, their security features are nonstandard but at least they (claim to) actually respect your privacy.

I've assembled enough computing power from the trash. Now I can start to build my own personal 'cloud'. Fuck I hate that word.
But I have a bunch of i7s, and i5s on hand, in towers. Next is just to network them, and setup some software to receive commands.

So far I've looked at Ray, and Dispy for distributed computation. If theres others that any of you are aware of, let me know. If you're familiar with any of these and know which one is the easier approach to get started with, I'd appreciate your input.

The goal is to get all these machines up and running, a cloud thats as dirt cheap as possible, and then train it on sequence prediction of the hidden variables derived from semiprimes. Right now the set is unretrievable, but theres a lot of heavily correlated known variables and so I'm hoping the network can derive better and more accurate insights than I can in a pinch.
Because any given semiprime has numerous (hundreds of known) identities which immediately yield both of its factors if say a certain constant or quotient is known (it isn't), knowing any *one* of them and the correct input, is equivalent to knowing the factors of p.

So I can set each machine to train and attempt to predict the unknown sequence for each particular identity.

Once the machines are setup and I've figured out which distributed library to use, the next step is to setup Keras, andtrain the model using say, all the semiprimes under one to ten million.

I'm also working on a new way of measuring information: autoregressive entropy. The idea is that the prevalence of small numbers when searching for patterns in sequences is largely ephemeral (theres no long term pattern) and AE allows us to put a number on the density of these patterns in a partial sequence, but its only an idea at the moment and I'm not sure what use it has.

Heres hoping the sequence prediction approach works.

Hey guys it's not a rant, but i feel this place might help...
I am a 20 yr old, second year guy ...have got some experience in core Java and after that, i have been doing android for 8months... Yeah , i coded some basic apps got my hands dirty on firebase, sql libraries and some connectivity...
Even got landed in an internship.

Today i feel myself to be an intermediate android dev , nd i know their are many things that can be learnt in android that i don't know..
But what after that?development as a carrier interests me, but i fear for a job security ... I could learn more of Android,maybe learn ios after that but their are always articles coming out that react is future, webapps will replace android and stuff like that...
I Have also heard stuff like companies today want to squeeze more out of their techs, so they want less and complete developers having experience in both web and mobile app designing and other stuff like that
Are you freakin kidding me? Android and ios alone are like drinking Pacific and indian ocean and to add web developing, its like drinking out every drop of ocean in the world.
I guess their are guys which exist with knowledge of all three, maybe I can cover them all too(someday) but that would take my whole clg life of 4 years..(I guess)
And no ,I don't have problems with that too.. I actually like developing but again i hear big words like cloud computing, AR,VR AI, data sciences, automation, graphics designing, game dev, and many more...

Basically i hear too much and i fear too much 😅 and i don't think closing my ears would be a good choice...
So, which ocean of carrier should i aim to go for?nd are my fears real? Do companies really prefer some web guy designing Amazon like apps over android-only guys like me?is automation nd templates really gonna take all we, developers jobs?should i look into ai/data sciences?

Well , i am a simple guy, who got his first pc at 17 so naturally, i am fascinated even by the working of a calculator app and anything relates to tech so am open to pursue my interests in any fields

Cloud computing

"Distributed, Sustainable and Cloud Computing Lab called DISCO."

I'll just leave that here.

3D printing factory + openSCAD web interface + cloud computing

My first rant here, I just found out about it, I don't have much of programming background, but it always triggeredmy intetest, currently I am learning many tools, my aim is to become a data scientist, I have done SAS, R, Python for it (not proficient yet though), also working on google cloud computing, database resources and going to start Machine Learning (Andrew Ng's Coursera).
Can anybody advice me, Am I doing it right or not.?

Develop my first mobile app with a restful backend for consumer usage

Learn more about cloud architecture/computing

Finish learning calculus

Learn linear algebra, discrete math, statistics and probability

Maybe start ML this year depending on math progress and time

Just finished Microsoft's newest CEO, Satya Nadella's book "Hit Refresh." It was actually really great. He talks about changing Microsofts culture and global impact, inspiring makers, as well as what the needs are going forward in technology.
Highly recommend.

Studying software development in the evenings. More so to get the piece of paper than to learn. Just reading up the lecturers definition for cloud computing...

"It was a fluffy shape which represented something we couldn’t contemplate in its entirety"

I fear for the others in my course

When Everybody Is Digging for Gold, It’s Good To Be in the Pick and Shovel Business

- ai is just another squeeze of money to cloud from our pockets, no matter what you do as long as you’re not selling/renting hardware or have high profit customers your product will die

I don’t believe in any ai product right now that can’t be self hosted and opensource and many of them are not.

I use mac, like 64GB m1 mac book pro so I can host load of things like llama, wizzard-lm, mistral, any yolo, whisper, gpt, fucking midjourney or other stable diffusion for me is no drama.

I’d say there is no consumer product for ai right now. OpenAI is scam given what we got from mistral.

We are very early in this new but old technology and my worries are that we are not there yet. We will need to wait for another iteration that is approximately 10 years to achieve what we have in mind because current hardware is 10 years behind software.

We don’t have an affordable computing power to go for our dreams.

Sad but true.

What is the probability of alien rootkit signal that would be intercepted by satellite and then executed on modern computers to create AGI that can use cloud computing and digital currency to take over our world ?

From my perspective pretty high 🤣🤣🤣

Let’s convince some government people and create intergalactic cyber attack defense institution, that would keep earth safe from alien invasion, with high money grants so we can prevent those threats.

Maybe Ernest Cline Armada is already a thing.

What you think ?

Multi-continent low-latency auto-scaling eventually-consistent kubernetes-orchestrated and spark-powered multi-cloud data-plarform.

(Note to self: why do jargon words always come in twos?)

But seriously, the engine ELT's naval and logistical data from every continent and ocean and feeds a global analytics platform for less then 0.25 USD per ingested Gb across all systems.
And sometimes the PODs are even onboard en-route ships! Edge computing, y'all!

Tech project I'm most proud of.

So I got the LSTM working in keras.
Working from a glorified tutorial.
Why the fuck do people let their github pages go down with no other backup?
Especially if its a link in your blog?
Why would you do that and not post the full script (instead of bits and pieces interspersed with *partial* explanations)?

In any case, its working and training on a test set and examples just to debug my own understanding of the process.

Once thats done I can generate some training data and try training on a small set. If that goes smoothly and the loss looks like it is heading in the right direction, then I'll setup the hardware for the private cloud and start writing the parallel computing component.

What is cloud computing

Starting this.... AWS Certified Developer

Easiest way to migrate to the cloud

Which cloud hosting provider do you use or prefer and why?

I've been using Digital Ocean for two years, but I'm thinking about switching to AWS or Google, because two friends of mine recommended them. For me, at least AWS, feels way more complicated than DO. But if they are clearly better, I will switch. What's your recommendation, if you have any?

Thanks a lot!

Is it doable to install macOS on a hypervisor on aws/google/azure and use it via VNC screensharing?

IBM Cloud seems to be the only cloud computing platform that has a responsive website.

Admittedly I have only used GCP and AWS, I haven't touched Azure yet. Both GCP and AWS have incredibly slow web portals that take ages to load after every single click.

IBM Cloud is the only cloud service platform when I clicked a button and it loaded the next page like a normal website. It honestly felt surreal to navigate through all of their services. I have no clue why AWS and GCP are both so bad, it reflects really poorly on their services. If they can't get their own web portals to run quickly, why should I expect their services to be fast and reliable?

Serverless and death of Programming?!

_TL;DR_
I hate serverless at work, love it at home, what's your advice?
- Is this the way things be from now on, suck it up.
- This will mature soon and Code will be king again.
- Look for legacy code work on big Java monolith or something.
- Do front-end which is not yet ruined.
- Start my own stuff.

_Long Rant_

Once one mechanic told me "I become mechanic to escape electrical engineering, but with modern cars...". I'm having similar feelings about programming now.

_Serverless Won_
All of the sudden everyone is doing Serverless, so I looked into it too, accidentally joined the company that does enterprise scale Serverless mostly.
First of all, I like serverless (AWS Lambda in specific) and what it enables - it makes 100% sense and 100% business sense for 80% of time.

So all is great? Not so much... I love it as independent developer, as it enables me to quickly launch products I would have been hesitant due to effort required before. However I hate it in my work - to be continued bellow...

_I'm fake engineer_
I love programming! I love writing code. I'm not really an engineer in the sense that I don't like hustle with tools and spending days fixing obscure environment issues, I rather strive for clean environment where there's nothing between me and code. Of course world is not perfect and I had to tolerate some amounts of hustle like Java and it's application servers, JVM issues, tools, environments... JS tools (although pain is not even close to Java), then it was Docker-ization abuse everywhere, but along the way it was more or less programming at the center. Code was the king, devOps and business skills become very important to developers but still second to code. Distinction here is not that I can't or don't do engineering, its that it requires effort, while coding is just natural thing that I can do with zero motivation.

_Programming is Dead?!_
Why I hate Serverless at work? Because it's a mess - I had a glimpse of this mess with microservices, but this is way worse...

On business/social level:
- First of all developers will be operations now and it's uphill battle to push for separation on business level and also infrastructure specifics are harder to isolate. I liked previous dev-devops collaboration before - everyone doing the thing that are better at.
- Devs now have to be good at code, devOps and business in many organisations.
- Shift of power balance - Code is no longer the king among developers and I'm seeing it now. Code quality drops, junior devs have too hard of the time to learn proper coding practices while AWS/Terraform/... is the main productivity factors. E.g. same code guru on code reviews in old days - respectable performer and source of Truth, now - rambling looser who couldn't get his lambda configured properly.

On not enjoying work:
- Lets start with fact - Code, Terraform, AWS, Business mess - you have to deal with all of it and with close to equal % amount of time now, I want to code mostly, at least 50% of time.
- Everything is in the air ("cloud computing" after all) - gone are the days of starting application and seeing results. Everything holds on assumptions that will only be tested in actual environment. Zero feedback loop - I assume I get this request/SQS message/..., I assume I have configured all the things correctly in sea of Terraform configs and modules from other repos - SQS queues, environment variables... I assume I taken in consideration tens of different terraform configurations of other lambdas/things that might be affected...

It's a such a pleasure now, after the work to open my code editor and work on my personal React.js app...

What is the cheapest and closest to "decent" cloud computing provider you've come across? I'm currently using scaleway ARMs -- all thanks to someone posting scaleway's name and comparing server prices to a cup of morning coffee :) . It's OK, really can't complain (although it's somewhat silly to sync ssh keys on-boot only IMO). Is there anything cheaper with no less quality?

After reading the script for the architect scene in Matrix Reloaded I was determined to use the word 'concordantly' in a sentence. I am proud to say I have succeeded, and with reference to cloud computing no less.

I've been working for a company since last year. I was very enthusiastic and happy because that company always boasted about being the leader of cloud solutions in my country and I was really interested in everything related to the cloud computing world . However, after one year, my current task is updating stupid fucking private products that no one knows on fucking old windows server.....

I have last few months left out of graduation and i don't know what should i learn. There's so much things (web dev , ai/ml, blockchain, android , cloud, ,hybrid apps, gaming, ar/vr, data analysis, security,etc) and as a cs student, i feel i should be knowing them all.

In last 6 years ,

Techs that i liked or got success in :
java, Android,python, data analysis, hybrid apps(flutter)

Techs that i didn't liked or failed in : ai/ml, cloud computing , webdev(css/js) ,hybrid apps(react/angular/ionic/...)

Techs that i didn't tried : security, cryptography, blockchain, open cv , ar/vr, gaming

I am not bound by my likeness or success.

My failures was mainly because i didn't liked those techs and continued further in them. And my success comprises of just launching a few apps, passing in some certification or grabbing an internship opp because of those skills.

But if you think a particular skill is necessary to have as a cs professional then let me know. I just want to earn a lot of money and get out of this mess asap

Ideas I've had over the years that could pan out and be useful:

SMS-DB: Stands for SMS-Data Burst. Used to allow those with low cell signal or no data plan to transfer data between a phone and some client via the standard SMS text space. Would be slow, but would act kinda like dial-up over SMS (as mobile lines are compressed on all service levels, even LTE, so traditional dial-up wouldn't work!) I have a general idea on how packets would be laid out, but that's about it so far...

everything2PNG: Allows one to transpose any file's data into a PNG with a 3 byte per pixel (full color RGB), which allows for a "compression" of sorts (about 91, 93% on preliminary tests) AND allowing further, more efficient compression of the resulting file. (Plus... it's just kinda cool to see files transposed as PNGs.) I actually have a simple transposer to go to PNG, but can't yet go back. Large files (around 600MB) use upwards of 4GB with efficient paging and other optimizations via NumPy so far, so it's not *viable* yet, but it's coming along nicely.

RPi-GPIO Interconnection Bus: A master/slave or round robin method to allow for Raspberry Pis to communicate using GPIO, which can help free up network bandwidth in RPi cloud computing clusters. At most, this'd allow for 4 bits used for pushing to the GPIO "bus", and 4 bits used for pulling from the "bus". 8 pins total are usually unused minimum, so either 3 or 4 pins for upload, 3 or 4 for download, and potentially 1 or 2 for commands, general non-data communication, etc. I made a version of this concept using Round Robin for a client, but it was horribly slow. (I also don't have distribution rights for the code, so i'm working from scratch.) Definitely doable.

Cloud computing is so theoretical and boring :/

Evolution of servers: A normal fucking server -> Cloud -> Serverless -> Fog computing

Holy shit, can't wait for what will be next...

Thought I'd take a look into how Cloud computing works and what it's all about.

I regret everything.

I've been reading about quantum computing in finance and other applications (fascinating read, althought really dense), but one question now won't stop bugging me.

Context:
1) Blockchain applications are based on NP-Hard asymmetric cryptographic problems, and how hard it is to solve such problems in a really short time.
2) So called "Web3.0" is based mostly on Blockchain applications, but would still need significant advances in order to be practical.
3) Affordable and practical cloud-based quantum computing is not so far in the future, and could be used to crack most NP-Hard problems in short (polynomial) time.
Thus, my question: Is Web3.0 obsolete before it even begun?

I mean, if quantum computing takes on fast enough, it could snuff out Blockchain applications by giving those a shelf life so short it wouldn't be worth to delevolp for it. It would be like announcing the iPhone 14 and the 15 on the same breath, saying the 15 is only a quarter away - why would anyone bother with the born-obsolete tech?

After the "Cloud Computing" trend, the new trends these days seems to be ML, VR and AI. And while I am very excited about all these techs and the possibilities it can bring, I can't help feel that most of us are using the term "AI" a bit incorrectly.
What we are trying to do here, as far as I can see, is VI, not AI. The intelligence we see in the so called "AI"s available so far are simulated and fails to emulate real intelligence, let alone demonstrate actual intelligence and awareness. They are not fully aware. But I guess that is why there is the singularity constraint. It is no doubt that when a VI finally becomes are fully aware AI, that is indeed the point of singularity.

Anyway, leaving the future dystopian thoughts aside, a mixture of ML, "AI" and VR have made some very interesting concepts, especially in the gaming industry, which I would love to see bear fruit in the near future.

Time for an exam about Cloud computing and deploying Microservices to the cloud using kubernetes, followed by another exam about Usage of scientific C libraries. This feels both so disconnected for being part of the same degree.

i am having a feeling that getting into software branch of it industry might be a wrong decision. in my college years, i got to explore different domains in tech :

1. software development : frontend tech , backed tech, mobile tech : somethings i and a million other people know

2. os and internal softwares : os, compilers, processor coding , chip manufacturing etc : don't know what this industry is known but we devs rarely go that deep in the hole

3. the network industry : computer networks , topologies, packets, data transfers etc. again not sure what this industry is but 4g/5g brands/ cisco seems to making a lot of money with this

4. cloud computing, devops, data etc : i guess some backend devs explore this domain too.

5. ai/ml data sciences/web3 : the new fad

6. biotech :?? don't know anything about this at all

7. graphics/management/qa : the other associated sisters of software dev. they are seeing a similar recession

8... ans so on.

i chose the 1st one in my undergrad as my career and now regretting this i am thinking of doing masters to fix my mistake and take a job in some other industry that is still blooming and has a future for sustaining a recession for atleast 30 years.

so any suggestions/experiences?

There are two cloud computing platform providers 1. AWS and 2. Others 😉

!rant

I would like your opinion on this fellow devranters. Right now at my university I have to pick an elective. My options are AI, Cloud Computing and the .Net framework. I'm leaning towards AI and also considering taking both AI and Cloud computing (if they'll allow me). What do you think I should pick career-wise?

Every time I have to use CloudWatch, I feel like I'd be more productive if I shoved glass shards in my eyes.

Every query/filter either returns nothing or errors out because too much is returned.

I'm taking a class in my university about Cloud computing. In 2 weeks we made a simple web app to upload videos and then a simple job that converts all videos to mp4.

Now we took the app to the Cloud using AWS. We created different instances for the web servers, we changed the database to NoSQL, used SQS to queue the convert videos jobs to the different workers instances, used SES, S3, CloudFront, ElastiCache. All that stuff.

And all that is worthless because I cannot get my Ubuntu instance to run a fucking command on reboot. I don't really know how and I feel that all my work was wasted.

Feels bad man

Recently many of us may have seen that viral image of a BSOD in a Ford car, saying the vehicle cannot be driven due to an update failure.
I haven't been able to verify the story in established news sources, so I won't be further commenting on it, specifically.
But the prospects of the very concept are quite... concerning.

Deploying updates and patches to software can be reasonably called *the software industry*. We almost have no V0 software in production nowadays, anywhere (except for some types of firmware).
Thus, as car and other devices become more and more reliant on larger software rather than much shorter onboard firmware, infrastructure for online updates becomes mandatory.
And large scale, major updates for deployed software on many different runtime environments can be messy even on the most stable situations and connections (even k8s makes available rolling updates with tests on cloud infrastructure, so the whole thing won't come crashing down).
Thereby, an update mess on automotive-OS software is a given, we just have to wait for it.

When it comes... it will be a mess. Auto manufacturers will adopt a "move fast and break things" approach, because those who don't will appear to be outcompeted by those who deploy lots of shiny things, very often.
It will lead to mass outages on otherwise dependable transportation - private transportation.
Car owners, the demographic that most strongly overlaps with every other powerful demographic, will put significant pressure on governments to do something about it.
Governments (and I might be wrong here) will likely adapt existing recall implementation laws to apply to automotive OS software updates.
That means having to go to the auto shop every time there is a software update.
If Windows may be used as a reference for update frequency, that means several times per day.
A more reasonable expectation would be once per month.
Still completely impossible for large groups of rural car owners.
That means industry instability due to regulation and shifting demographics, and that could as well affect the rest of the software industry (because laws are pesky like that, rules that apply to cars could easily be used to reign in cloud computing software).

Thus... Please, someone tells me I overlooked something or that I am underestimating the adaptability of the powers at play, because it seems like a storm is on the horizon, straight ahead.

Does it make sense to attend a CAS (let‘s say „CAS Cloud Computing“) after i finished my BSc?

I know it's a stupid question but then also I want to ask because I am very confused...

Recently I started learning about cloud computing and I have question that:- What actually cloud is?? (Please don't tell the advantages or what can we do with cloud, etc.)

Is it collection of hardwares or many companies have built some special servers that are put together for the purpose??

This semester I'm taking a class in my university about Cloud computing. You know, how to use the cloud better, when to use it, and we are using AWS in the class. That mother fucking class takes a lot of my time, I couldn't sleep for 2 nights in a row doing homework, and now EVERY TIME I go to YouTube to chill and see a video I GET A UDEMY AD TO LEARN AWS. WHY??

What is the use of GPU in the cloud, isn't all the rendering is happening on the client machine ?

larry elison laughs the term cloud computing years ago, now offers oracle cloud but failed to come up with an effective strategy, wants to monitize java.

(but still a billionaire though)

The term "serverless" has been popping up more and more in the tech industry, boasting the benefits of not having to manage servers and providing a more cost-effective solution for businesses. However, if we take a step back and think about it, isn't this just a marketing ploy?

The reality is, serverless software has been around for decades. Before the cloud became a popular option, we had software that could be installed and run locally on our computers without the need for managing servers. This was essentially serverless technology, but it just wasn't called that.

Now, with the rise of cloud computing, companies are trying to capitalize on this buzzword by promoting their products as "serverless", even though they still rely on servers in some way. It's almost laughable that we are being sold on a concept that has been around for so long.

In addition, the term "serverless" also gives the impression that there are no servers involved at all, when in reality, there are still servers powering these cloud services. It's just that the responsibility of managing them now falls on the cloud provider instead of the business.

The truth is, serverless technology is not new. It's just a rebranded, hyped-up version of what we've already had before. Instead of constantly chasing after the latest buzzword, we should focus on the actual benefits and capabilities of a technology, and not let ourselves be swayed by clever marketing tactics.

So, let's not get caught up in the serverless hype. Let's remember that we've had this technology for a long time, and instead of focusing on the label, let's focus on the functionality and value it can provide to our businesses.

Can we make a cluster which is moderately powerful using all free cloud computing services available online like Google Cloud Platform, AWS, Oracle cloud, Microsoft Azure etc.

So let's say you're theoretically hosting a website on Google's cloud platform with GoDaddy, but you have the code on your local PC. How would you go about updating it?

For now, I've just been SFTPing into the cloud server and updating it.

Started with google cloud platform through qwiklabs, and DAMN, what a hell of a ride!

Who know about Cloud Computing

Guys, i am a beginner in networking. I want to create my own cloud computing server - (IAAS). Currently, I want to provide storage to the users.
How should i proceed.. Any site link or guidance? Thanks in advance.

Is there a structured way to learn Linux? I am a developer who is trying to learn cloud computing.

am I the only one here, who is looking for cloud computing service, because I cant host things at home?

Not enough disk space error..just when I am done writing code and unzipping the bigger dataset.

Angry me.

Hours later.. Now mounted 200Gigs to machine.

Feels like a boss.!