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Comment by Trasmatta | Hacker News Reader

> I think people misconstrue the benefits of k8s to be related to reliability or similar. Ultimately it's about the API and the consistency and productivity it offers

I think this is the first time I've heard somebody say one of the benefits of kubernetes was productivity.

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Really? I think it's a pretty obvious benefit. If you bundle something into a container, you can probably run it in kubernetes. This uniformity makes it incredibly easy to deploy and scale new applications.

The same is true of ECS, but with a much simpler API, much tighter integration with load balancers, a no-charge control plane, and not having to upgrade every cluster every 3-6 months.

I’ve had 2 services running flawlessly in ecs for over a year (with load balancing) without having to touch them. Took me all of 15m to set them up. It’s quite good.

Fargate is really nice too—it takes the benefits of ECS even further to the point that the underlying EC2 instances are abstracted away almost completely.

Fargate with auto-scaling plus Aurora for the DB is pretty great in terms of a nearly zero-maintenance setup that can handle just about any type of service up to massive scale.

Unfortunately getting all the networking and IAM stuff right is still pretty thorny if you want to do things the correct way and not just run it all in public subnets. And the baseline costs are significantly higher than a paas.

I think what I've heard is the kubernetes end result is very often a massively overcomplicated infrastructure that nobody understands, that's a constant source of headaches and lost time due to leaky abstractions.

Disclaimer: I've never actually used it myself. That's mostly just what I've read and heard from people who use kubernetes.

Basically depends on expertise. The parent commenter probably comes from a team of good well paid ops engineers who understand and set up k8s well. In any other org it’s the show you describe.

It's like what Hedberg said about rice: k8s is great if you're really hungry and what to host two thousand of something.

Yeah if you study over it instead of copy pasting stuff from the internet, I find k8s the best thing for my small projects. I only have to setup a simple dockerfile and helm chart and I can run a new service in my cluster on DO, for which they offer free control plane, and not be billed for a completely new app and have to setup all my deps and env vars in a clunky UI. I can setup scaling, ingress easily, the Datadog agent is going to pick it up automatically, I can have services communicating via private dns etc. etc.

I am not an ops guy.

+1 this is what I do as well. If you have any semblance of uniformity in your project folder structure, you can even automate the build/deploy process with a simple shell script/bash function.

Of course, this quickly stops working once your small projects grow to have multiple collaborators, a staging environment, etc. - but at that point you're running a proper business

We're running Nomad, but that's just a detail. The great thing for both development teams and the ops team is that the container orchestration starts working as a contract between the teams. This allows building more of a framework in which we can provide some initial starting point for standard tasks, like connections to infrastructure components, migrations in various languages, automated deployments, rollbacks and so on for teams out of the box. With this, product teams can go from an idea to deployed and running code very quickly and confidently.

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