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by somenewaccount1 1522 days ago
You forgot the step where you had to provision that server to run the software and maintain all the systems security updates on the live running server, and that server requires all the same maintenance, with or without docker. And if you fuck it up, better call the wife and cancell Sunday plans because you forgot how it all gets installed and ......yeah, just use docker :p
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Debian offers unattended upgrades: https://wiki.debian.org/UnattendedUpgrades

And security updates, as you said, are needed regardless of whether you run Docker on top. I think Docker is a needless complexity and security risk.

Security updates are only needed on the OS level if you're running Docker on bare metal or a VPS. If you're running Docker in a managed container or managed Kubernetes service such as ECS/EKS, you only need to update the Docker image itself, which is as simple as updating your pip/npm/maven/cargo/gem/whatever dependencies.

I see two main places where Docker provides a lot of value: in a large corp where you have massive numbers of developers running diverse services on shared infrastructure, and in a tiny org where you don't have anyone who is responsible for maintaining your infrastructure full time. The former benefits from a standardized deployment unit that works easily with any language/stack. The latter benefits from being able to piggy-back off a cloud provider that handles the physical and OS infrastructure for you.

And you're welcome to think so, but if you intend to make a case for removing Docker as optimization, you still have yet to start.
I am arguing against Docker for maintainability reasons, not CPU cycles.

Relying on hidden complexity makes for a hard path ahead. You become bound by Docker's decisions to change in the future.

For example, SSLPing's reliance on a lot of complex software (among which NodeJS and Docker) got it to close, and it got on the front page of HN recently.

https://sslping.com/

https://news.ycombinator.com/item?id=30985514

Keeping dependencies to a minimum will extend the useful lifespan of your software.

Docker Swarm isn't Docker; it's an orchestration service on top of Docker, that happens to have originated with the same organization that Docker does - hence the name. A few years ago Swarm looked like it might be competitive in the container orchestration space, but then Kubernetes got easy to use even for the small deployments Swarm also targeted, and Swarm has withered since. It wouldn't be impossible or probably even all that difficult to switch over to k8s if that were the only blocker, but as the sunset post notes and you here ignore, that wasn't the only or the worst problem facing SSLping - as, again, the sunset post notes to your apparent disinterest, it's been losing money for quite a while before it fell apart.

(Has it occurred to you that it losing money for a while might have contributed to its eventual unmaintainability, as the dev opted sensibly to work on more sustainably remunerative projects? If so, why ignore it? If not, why not?)

Similarly for the Node aspect - that's very much a corner use case related to this specific application (normally SSLv3 support is something you actively don't want!), and not something that can fairly be generalized into an indictment of Node overall. Not that it's a surprise to see anyone unjustly indict Node on the basis of an unsupportable generalization from a corner case! But that it's unsurprising constitutes no excuse.

Other than that you seem here to rely on truisms, with no apparent effort to demonstrate how they apply in the context of the argument at which you gesture. And even the truisms are misapplied! Avoiding dependencies for the sake of avoiding dependencies produces unmaintainable software because you and your team are responsible for every aspect of everything, and that can work for a team of Adderall-chomping geniuses, but also only works for a team of Adderall-chomping geniuses. Good for you if you can arrange that, but it's quite absurd to imagine that generalizes or scales.

Just because a project has a larger budget, doesn't mean any of it should be spent on Docker, Docker Swarm, or Kubernetes or whatever other managers of Docker that you can mention here.

Fact is, for 3 servers, it would be hard to convince me of any use of Docker compared to the aforementioned deployment shell script + Debian unattended-upgrades.

What problem does Kubernetes address here? So what if it is "easy to use"? I prefer "not needed at all".

> but also only works for a team of Adderall-chomping geniuses

Of course, not everything should be implemented by yourself. Maybe this project wouldn't have been possible at all without offloading some complexity (like the convenient NodeJS packages).

But in particular Docker and its ecosystem are only worth it when you have an amount of machines that make it worth it - when things become difficult to manage with a simple shell script everyone understands: when you have a lot of heterogeneous servers, or you want to deploy to the Cloud (aka Someone Else's Computers) and you have no SSH access.

> truisms

I don't have any experience with Kubernetes nor Docker Swarm. The reason is that the truisms have saved me from it. If you don't talk me into learning Kubernetes, I won't, unless a customer demands it explicitly.

> Has it occurred to you that it losing money for a while might have contributed to its eventual unmaintainability

It absolutely has. Maybe if the service hadn't used Docker Swarm or Docker at all, it would have lasted longer, since updating Docker would not have broken everything, since this was named a factor in the closure. And therefore, the time and money would have gone further.

Exploring technologies can give you great insight into your current practices. You are living by assumption which is a pretty weak position
And maybe if my grandmother had wheels she'd be a bicycle. But - over a so far 20-year career of which "devops" work has been sometimes a fulltime job, and always a significant fraction, since back when we called that a "sysadmin" - I've developed sufficiently intimate familiarity with both sorts of deployment workflows that, when I say I'll always choose Docker where feasible even for single-machine targets, that's a judgment based on experience that in your most recent comment here you explicitly disclaim:

> I don't have experience with Kubernetes nor Docker Swarm. The reason is that the truisms have saved me from it.

Have they, though? It seems to me they may have "saved" you from an opportunity to significantly simplify your life as a sysadmin. Sure, your deployment shell scripts are "simple" - what, a hundred lines? A couple hundred? You have to deal with different repos for different distros, I expect, adding repositories for deps that aren't in the distro repo, any number of weird edge cases - I started writing scripts like that in 2004, I have a pretty good sense of what "simple" means in the context where you're using it.

Meanwhile, my "simple" deployment scripts average about one line. Sure, sometimes I also have to write a Dockerfile if there isn't an image in the registry that exactly suits my use case. That's a couple dozen lines a few times a year, and I only have to think about dependencies when it comes time to audit and maybe update them. And sure, it took me a couple months of intensive study to get up to speed on Docker - in exchange for which, the time I now spend thinking about deployments is a more or less infinitesimal part of the time I spend on the projects where I use Docker.

Kubernetes took a little longer, and manifests take a little more work, but the same pattern holds. And in both cases, it's not only my experience on which I have to rely - I've worked most of the last decade in organizations with dozens of engineers working on shared codebases, and the pattern holds for everyone.

I don't know, I suppose. Maybe there's another way for twenty or so people to support a billion or so in ARR, shipping new features all the while, without most months breaking a sweat. If so, I'd love to know about it. In the meantime, I'll keep using those same tools for my single-target, single-container or single-pod stuff, because they're really not that hard to learn, and quite easy to use once you know how. And too, maybe it's worth your while to learn just a little bit about these tools you so volubly dislike - if nothing else, in so doing you may find yourself better able to inform your objections.

All that said, and faint praise indeed at this point, but on this one point we're in accord:

> If you don't talk me into learning Kubernetes, I won't, unless a customer demands it explicitly.

I did initially learn Docker and k8s because a customer demanded it - more to the point, I went to work places that used them, and because the pay was much better there I considered the effort initially worth my while. That's paid off enormously for me, because the skills are much in demand; past a certain point, it's so much easier to scale with k8s especially that you're leaving money on the table if you don't use it - we'd have needed 200 people, not 20, to support that revenue in an older style, and even then we'd have struggled.

I still think it's likely worth your while to take the trouble, for the same reasons I find it to have been worth mine. But extrinsic motivation can be a powerful factor for sure. I suppose, if anything, I'd exhort you at least not to actively flee these technologies that you know next to nothing about.

Sure, you might investigate them and find you still dislike them - but, one engineer to another, I hope you'll consider the possibility that you might investigate them and find that you don't.