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AWS has now become one of the most hated tools, right next to Jenkins. Amazon is turning into a dinosaur like Cisco or IBM.

mvdtnz 1y ago
> AWS has now become one of the most hated tools By whom? Certainly no one I work with. AWS has some sharp edges and frustrations but we couldn't do half of what we do without it.
- mountainriver 1y ago
  https://www.reddit.com/r/csMajors/s/WPI0L2Pzsj https://www.reddit.com/r/csMajors/s/WPI0L2Pzsj
weego 1y ago
There's no value in Amazon burning money to 'compete' when there no clear endgame. Right now the competition seems to be who can burn a a hundred billion dollars the fastest. Once a use case and platform has stabilized, they'll provide it via AWS, at which poiny the SME market will eat it up.
- b112 1y ago
  Not only that, but all the compute spent, and hardware bought, will be worthless in 5 years. Just the training. Training off of the internet! Filled with extremists, made up nuttery, biased bs, dogma, a large portion of the internet is stupids talking to stupids. Just look at all the gibberish scientific papers! If you want a hallucination prone dataset, just train on the Internet. Over the next few years, we'll see training on encyclopedias and other data sources from pre-Internet. And we'll see it done on increasingly cheaper hardware. This tiny branch of computer sciences is decades old, and hasn't even taken off yet. There's plenty of chance for new players.
  - wiredpancake 1y ago
    How exactly do you foresee "pre-internet" data sources being the future of AI. We already train on these encyclopedias, we've trained models on massive percentages of entire published book content. None of this will be helpful either, it will be outdated and won't have modern findings, understandings. Nor will it help me diagnose a Windows Server 2019 and a DHCP issue or similar.
    - b112 1y ago
      We're certainly not going to get accurate data via the internet, that's for sure. Just taking a look at python. How often does the AI know it's python 2.7 vs 3? You may think all the headers say /usr/bin/python3, but they don't. And code snippets don't. How many coders have read something, then realised it wasn't applicable to their version of the language? My point is, we need to train with certainty, not with random gibberish off the net. We need curated data, to a degree, and even SO isn't curated enough. And of course, that's even with good data, just not categorized enough. So one way is to create realms of trust. Some data trusted more deeply, others less so. And we need more categorization of data, and yes, that reduces model complexity and therefore some capabilities. But we keep aiming for that complexity, without caring about where the data comes from. And this is where I think smaller companies will come in. The big boys are focusing in brute force. We need subtle.
      - ipaddr 1y ago
        New languages will emerge or at least versions of existing languages till come with codenames. What about Thunder python or uber python for the next release.
anon7000 1y ago
Since when? It’s extremely popular
- mountainriver 1y ago
  It’s not, it’s just become something forced on orgs like confluence
nimchimpsky 1y ago
[dead]
caleblloyd 1y ago
I still like AWS all these years later. It’s trusted in the enterprise and you can empower people to do what they need to themselves with IAM. And it’s pretty reliable.
pandemic_region 1y ago
huh how did Jenkins all of a sudden get into this discussion? And why the hate, it was king of CI for over a decade and for good reason.
VerminOctopus1 1y ago
This is a weird take. I don’t know any developers who hate AWS. It’s the dominant cloud provider for a reason.
neilv 1y ago
I like AWS overall. (Though I'm pretty familiar with some of the concepts, I know some things to avoid (e.g., "push this button to set up a very expensive global enterprise scale observability platform of numerous complicated services, because you asked about a very simple turn-key syslog service"), and I'm expecting the occasional configuration headache (and, lately, configuration wizard bugs).) For a new startup, I'd use AWS for all serving and hosting purposes by default, iff you have someone who can avoid pitfalls, and handle problems. If you don't have such a technical person, maybe start off with managed Kubernetes service with high-level UI, at AWS or one of the other cloud providers, and try not to make too big a mess (which might slow you down, or take you down) before you can afford to hire specialists to make sure it keeps working for you.
zaphirplane 1y ago
> AWS has now become one of the most hated tools News to me
rpcope1 1y ago
You say Jenkins is hated, but surely it's no more hated or worse than any other bigger player in the space like Teamcity or Bamboo.
rswail 1y ago
I don't think cloud computing is a hated "tool", it's effectively taken over running on-prem. It's the same as saying buying electricity from a network is worse than having your own generators.

mvdtnz 1y ago

> AWS has now become one of the most hated tools By whom? Certainly no one I work with. AWS has some sharp edges and frustrations but we couldn't do half of what we do without it.

mountainriver 1y ago
https://www.reddit.com/r/csMajors/s/WPI0L2Pzsj https://www.reddit.com/r/csMajors/s/WPI0L2Pzsj

weego 1y ago

There's no value in Amazon burning money to 'compete' when there no clear endgame. Right now the competition seems to be who can burn a a hundred billion dollars the fastest. Once a use case and platform has stabilized, they'll provide it via AWS, at which poiny the SME market will eat it up.

b112 1y ago
Not only that, but all the compute spent, and hardware bought, will be worthless in 5 years. Just the training. Training off of the internet! Filled with extremists, made up nuttery, biased bs, dogma, a large portion of the internet is stupids talking to stupids. Just look at all the gibberish scientific papers! If you want a hallucination prone dataset, just train on the Internet. Over the next few years, we'll see training on encyclopedias and other data sources from pre-Internet. And we'll see it done on increasingly cheaper hardware. This tiny branch of computer sciences is decades old, and hasn't even taken off yet. There's plenty of chance for new players.
- wiredpancake 1y ago
  How exactly do you foresee "pre-internet" data sources being the future of AI. We already train on these encyclopedias, we've trained models on massive percentages of entire published book content. None of this will be helpful either, it will be outdated and won't have modern findings, understandings. Nor will it help me diagnose a Windows Server 2019 and a DHCP issue or similar.
  - b112 1y ago
    We're certainly not going to get accurate data via the internet, that's for sure. Just taking a look at python. How often does the AI know it's python 2.7 vs 3? You may think all the headers say /usr/bin/python3, but they don't. And code snippets don't. How many coders have read something, then realised it wasn't applicable to their version of the language? My point is, we need to train with certainty, not with random gibberish off the net. We need curated data, to a degree, and even SO isn't curated enough. And of course, that's even with good data, just not categorized enough. So one way is to create realms of trust. Some data trusted more deeply, others less so. And we need more categorization of data, and yes, that reduces model complexity and therefore some capabilities. But we keep aiming for that complexity, without caring about where the data comes from. And this is where I think smaller companies will come in. The big boys are focusing in brute force. We need subtle.
    - ipaddr 1y ago
      New languages will emerge or at least versions of existing languages till come with codenames. What about Thunder python or uber python for the next release.

anon7000 1y ago

Since when? It’s extremely popular

mountainriver 1y ago
It’s not, it’s just become something forced on orgs like confluence

nimchimpsky 1y ago

[dead]

caleblloyd 1y ago

I still like AWS all these years later. It’s trusted in the enterprise and you can empower people to do what they need to themselves with IAM. And it’s pretty reliable.

pandemic_region 1y ago

huh how did Jenkins all of a sudden get into this discussion? And why the hate, it was king of CI for over a decade and for good reason.

VerminOctopus1 1y ago

This is a weird take. I don’t know any developers who hate AWS. It’s the dominant cloud provider for a reason.

neilv 1y ago

I like AWS overall. (Though I'm pretty familiar with some of the concepts, I know some things to avoid (e.g., "push this button to set up a very expensive global enterprise scale observability platform of numerous complicated services, because you asked about a very simple turn-key syslog service"), and I'm expecting the occasional configuration headache (and, lately, configuration wizard bugs).) For a new startup, I'd use AWS for all serving and hosting purposes by default, iff you have someone who can avoid pitfalls, and handle problems. If you don't have such a technical person, maybe start off with managed Kubernetes service with high-level UI, at AWS or one of the other cloud providers, and try not to make too big a mess (which might slow you down, or take you down) before you can afford to hire specialists to make sure it keeps working for you.

zaphirplane 1y ago

> AWS has now become one of the most hated tools News to me

rpcope1 1y ago

You say Jenkins is hated, but surely it's no more hated or worse than any other bigger player in the space like Teamcity or Bamboo.

rswail 1y ago

I don't think cloud computing is a hated "tool", it's effectively taken over running on-prem. It's the same as saying buying electricity from a network is worse than having your own generators.