[maccard]

Figma were running on ECS before, so they weren't just running dedicated servers.

I'm a K8S believer, but it _is_ complicated. It solves hard problems. If you're multi-cloud, it's a no brainer. If you're doing complex infra that you want a 1:1 mapping of locally, it works great.

But if you're less than 100 developers and are deploying containers to just AWS, I think you'd be insane to use EKS over ECS + Fargate in 2024.

[epgui]

I don’t know if it’s just me, but I really don’t see how kubernetes is more complex than ECS. Even for a one-man show.

[mrgaro]

Kubernetes needs regular updates, just as everything else (unless you carefully freeze your environment and somehow manage the vulnerability risks) and that requires manual work.

ECS+Fargate however does not. If you are a small team managing the entire stack, you need to factor this into accounts. For example EKS forces you to upgrade the cluster to keep in the main kubernetes release cycle, albeit you can delay it somewhat.

I personally run k8s at home and another two at work and I recommend our teams to use ECS+Fargate+ALB if it is enough for them.

[metaltyphoon]

> Kubernetes needs regular updates, just as everything else (unless you carefully freeze your environment and somehow manage the vulnerability risks) and that requires manual work

Just use a managed K8s solution that deals with this? AKS, EKS and GKE all do this for you.

[anonfordays]

There's still Helm oddities, "annotations", CRDs, mutating web hooks, operators, etc. to comprehend before you have any idea of what the system is doing. All it takes is a random annotation to throw all your assumptions away.

It's a complicated mess compared to something like a Nomad jobspec. That's one of the reasons we decided on Nomad while I was at Cloudflare.

[ttymck]

It doesn't do everything for you. You still need to update applications that use deprecated APIs.

This sort of "just" thinking is a great way for teams to drown in ops toil.

[Ramiro]

I agree with @metaltyphoon on this. Even for small teams, a managed version of Kubernetes takes away most of the pain. I've used both ECS+Fargate and Kubernetes, but these days, I prefer Kubernetes mainly because the ecosystem is way bigger, both vendor and open source. Most of the problems we run into are always one search or open source project away.

[epgui]

My experience with k8s has been very much “just”, and I’ve never really had issues or experienced any real friction with updates. shrugs

[ttymck]

That's great. I guess I've somehow been making things harder than they need to be.

[metaltyphoon]

Are you assuming the workloads have to use K8s APIs? Where is this coming from? If that’s not the case can you actually explain with a concrete example?

[ttymck]

Any cluster extension. Helm is a good example.

https://helm.sh/docs/topics/version_skew/

Istio: https://istio.io/latest/docs/releases/supported-releases/#su...

Literally every kubernetes manifest that hits the server uses a k8s api:

    apiVersion: apps/v1

[mountainriver]

This just feels like a myth to me at this point. Kubernetes isn’t hard, the clouds have made is so simple now that it’s in no way more difficult than ECS and is way more flexible

[anonfordays]

It is by no means "a myth". There's still Helm oddities, "annotations", CRDs, mutating web hooks, operators, etc. to comprehend before you have any idea of what the system is doing. All it takes is a random annotation to throw all your assumptions away.

It's a complicated mess compared to something like a Nomad jobspec. That's one of the reasons we decided on Nomad while I was at Cloudflare.

[davewritescode]

I’m not saying I agree with the comment above you but Kubernetes upgrades and keeping all your addons/vpc stuff up to date can be a never ending slog of one-way upgrades that, when they go wrong, can cause big issues.

[organsnyder]

Those are all issues that should be solved by the managed provider.

It's been a while since I spun up a k8s instance on AWS, Azure, or the like, but when I did I was astounded at how many implementation decisions and toil I had to do myself. Hosted k8s should be plug-and-play unless you have a very specialized use-case.

[adammarples]

Yeah if you pay someone to manage something for you, it's not hard. That's because you're not doing it. Like air travel and taxes, it's easy.

[organsnyder]

If you're not paying someone to manage this for you, either you're a hobbyist (perhaps masquerading as a professional) or you have the scale or special use-case that makes you outside 95% of use-cases.

Last I checked, managed k8s clusters weren't much more expensive than the compute they ran on.