491–500 of 643 posts
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You have a link to some proof that chat gpt is patching servers running databases with no down time or data loss?
I think the argument is that dev with some vibe coding can successfully setup servers that are good enough already for 10x less cost and 95% reliability
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Using the S3 API is like chopping onions, the more you do it, the faster you start crying.
Haha! My only “yes, but…” is that this: > 50k API calls per second (on S3 that is $20-$250 _per second_ on API calls!). kind of smells like abuse of S3. Without knowing the use case, maybe a different AWS service is a better answer? Not advocating for AWS, just saying that maybe this is the wrong comparison. Though I do want to learn about Hetzner.
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What is the cost of running Neo4j on aws vs using aws Neptune? Related to disk I/o?
Tbh, I don't know. For us the switching cost alone would be pretty high. That said ongoing maintenance is pretty high as well.
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> If you don't want to do this yourself, then we'll do it for you for half the price of AWS (and we'll be your DevOps team too You might not realize but you are actually increasing the business case for AWS :-) Also those hardware savings will be eaten away by two days of your hourly bill. I like to look at my project costs across all verticals...
I understand the concern for sure. But we don't bill hourly in that way, as one thing our clients really appreciate is predictable costs. The fixed monthly price already includes engineering time to support your team.
You've gotta hand it to Amazon for their strategy.
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No, cloud adoption was driven by teams having to wait 2 years for capex for their hardware purchase and then getting a quarter of what they asked for. You couldn't get things, people hoarded servers they pretended to be using because when they did need something they couldn't get it. Management just wouldn't approve budgets so you were stuck using too little hardware. On the cloud it takes five seconds to get a new m…
And now, on cloud it’s the same but much more expensive and worse performance. We’ve been struggling for over a month to get a single (1) non-beefy non-GPU VM allocated on Azure, since they’ve been having insane capacity issues, to the extent that even “provisioned” capacity cannot be fulfilled ;-(
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Haha! My only “yes, but…” is that this: > 50k API calls per second (on S3 that is $20-$250 _per second_ on API calls!). kind of smells like abuse of S3. Without knowing the use case, maybe a different AWS service is a better answer? Not advocating for AWS, just saying that maybe this is the wrong comparison. Though I do want to learn about Hetzner.
Why would it be abuse? Serving e.g. map tiles on a busy site can get up to tens of thousands of qps, I'd have thought serving that from S3 would have made sense if it weren't so expensive.
Then the CDN takes the beating. So this still sounds like S3 abuse to me.
But I leave room for being wrong here.
Edit: presumably if your site is big enough to serve 50k RPS it’s big enough for a cache?
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Ya but then you need to pay for a team to maintain network and continually secure and monitor the server and update/patch. The salaries of those professionals , really only make sense for a certain sized organization. I still think small-midsized orgs may be better off in cloud for security / operations cost optimization.
That used to be the case until recently. As much as neither I nor you want to admit it -- the truth is ChatGPT can handle 99% of what you would pay for "a team to maintain network and continually secure and monitor the server and update/patch." Infact, ChatGPT surpasses them as it is all encompassing. Any company now can simply pay for OpenAI's services and save the majority of the money they would have spent on the,…
I cannot overstate the performance improvement of deploying onto bare metal. We typically see a doubling of performance, as well as extremely predictable baseline performance. This is down to several things: - Latency - having your own local network, rather than sharing some larger datacenter network fabric, gives around of order of magnitude reduced latency - Caches – right-sizing a deployment for the underlying har…
Yup, I hope to god we are moving past the age of 'everything's fast if you have enough machines' and 'money is not real' era of software development. I remember the point in my career when I moved from a cranky old .NET company, where we handled millions of users from a single cabinent's worth of beefy servers, to a cloud based shop where we used every cloud buzzword tech under the sun (but mainly everything was cont…
Of course Node could not compete, and the cost had to be paid for each thinly sliced microservice carrying heavy runtime alongside it.
Can you host your own object storage open source software, key vault OSS, VPN, queue service, container registry, logging, host your own Postgres/MySQL? Sure, but you will need to research what is best, what is supported, keep it maintained, make sure to update it and that those updates don't break anything, wake up in the middle of the night when it breaks, make sure it's secure. And you would still need to handle access control across those services. And you would still need a 3rd party service for DDoS protection, likely CDN too. And you would likely need some identity provider.