[echelon]

You can use k8s on $2/mo digital ocean projects. It probably even works on the free tier of a lot of providers.

And there's zero setup. Just a deployment yaml that specifies exactly what you want deployed, which has the benefit of easy version control.

I don't get why people are so bent on hating Kubernetes. The mental cost to deploy a 6-line deployment yaml is less than futzing around with FTP and nginx.

Kube is the new LAMP stack. It's easier too. And portable.

If you're talking managed kube vs one you're taking the responsibility of self-managing, sure. But that's no different than self-managing your stack in the old world. Suddenly you have to become Sysadmin/SRE.

[throwawaypath]

>And portable.

This made me audibly guffaw. Kubernetes is a lot of things, but "portable" is not one of them. GKE, EKS, AKS, OCP, etc., portability between them is nowhere near guaranteed.

[cortesoft]

It is if you stick to standard Kubernetes resources, and it has gotten even easier with better storage class and load balancer support. All of the cloud providers now give you default storage classes and ingresses when you provision a cluster on them, so you can use the exact same deployment on any of them an automatically get those things provisioned in the right way out of the box.

[throwawaypath]

>It is if you stick to standard Kubernetes resources

"If you stick to standard C..."

No one does, that's the issue. Helm charts that only support certain cloud providers, operators and annotations that end up being platform specific, etc.

>now give you default storage classes and ingresses

Ingress is being deprecated, it's Gateway now! Welcome to hell, er, Kubernetes.

[vbezhenar]

> Ingress is being deprecated

Do you have any links about Ingress being deprecated?

Official docs here: https://kubernetes.io/docs/reference/kubernetes-api/service-...

There are no mentions about this API being deprecated.

[0x457]

Ingress resource is bassicaly "implementation specific" and isn't portable. It's not deprecated now, but there plans to retire ingress-nginx: https://kubernetes.io/blog/2025/11/11/ingress-nginx-retireme...

Anyway, Ingress resource been in "Migrate to Gateway" state for awhile.

[jurgenburgen]

> but there plans to retire ingress-nginx

To clarify, it’s already retired and the repo has been archived since 24th of March.

[_whiteCaps_]

https://kubernetes.io/blog/2025/11/11/ingress-nginx-retireme...

NGINX Ingress is deprecated, not the Ingress resource itself.

[chuckadams]

Ingress is frozen, not deprecated. Gateway does more, but Ingress isn’t going anywhere. It’s a stable API, which is the opposite of churn.

[physicsguy]

Til there's a security issue, right? Nginx is a big target.

[chuckadams]

The API of Ingress is not Nginx's API. The spec itself is basically a yaml schema, it's hard to have a vulnerability in that.

[SOLAR_FIELDS]

Would love to use Gateway! Every time I spin up a new cluster it goes like this:

- New cluster setup, time to use gateway! Yay!

- Oh crap, like 80% of the helm chart and other existing configurations I need for the softwares I'm trying to deploy STILL doesn't use gateway, this new API that's been out for... like half a decade at least.

- Even core networking things like Istio/Envoy only have limited gateway support compared to ingress

- Sigh. Ingress again.

It's been like this since gateway's inception and every time I check the needle has moved like 2% towards gateway. So I'm looking forward to year 2050 when I can use gateway!

The problem, as CNCF knows, if they pushed Gateway and deprecated ingress the world would revolt due to the amount of work involved to migrate stuff. Therefore, they leave it up to "the people" to do the extra work themselves, who have no incentive to do so since for many usecases it's not materially better.

[cortesoft]

I use Kubernetes every day, and have worked with dozens of helm charts, and have yet to encounter cloud specific helm charts. Are these internal helm charts for your company?

Obviously you can lock yourself in if you choose, but I have yet to see third party tools that assume a specific provider (unless you are using tools created BY that provider).

At my previous spot, we were running dozens of clusters, with some on prem and some in the cloud. It was easy to move workloads between the two, the only issue was ACLs, but that was our own choice.

I know they are pushing the new gateway api, but ingresses still work just fine.

[throwawaypath]

Tell me you haven't managed Kubernetes at scale without telling me you haven't managed Kubernetes at scale.

Helm charts may not support a cloud platform like Rancher, Azure, etc. or may have platform specific issues. First one I checked: https://docs.jfrog.com/installation/docs/helm-chart-requirem...

"When deploying a JFrog application on an AWS EKS cluster, the AWS EBS CSI Driver is required for dynamic volume provisioning. However, this driver is not included in the JFrog Helm Charts."

"JFrog validates compatibility with core Kubernetes distributions. Some Kubernetes vendors apply additional logic or hardening (for example, Rancher), so JFrog Platform deployment on those vendor-specific distributions might not be fully supported."

[SOLAR_FIELDS]

I'm a Kubernetes user and advocate but to call it "portable" just tells me you've never actually tried to deploy the similar thing on multiple different clouds. Even the standardized kubernetes resources behave differently due to various cloud idiosyncracies. You can of course make the situation easier, but to call it entirely portable is probably a misnomer.

[subhobroto]

> Suddenly you have to become Sysadmin/SRE

I don't you made that argument but could a valid conclusion of your comment be that, because Kubernetes is so ubiquitous, using it frees you from being a Sysadmin/SRE?

[0x457]

Frees you from being a sysadmin, but burndens you with being a k8s operator, still an SRE.

[gzread]

> And there's zero setup. Just a deployment yaml that specifies exactly what you want deployed

Writing this yaml is hours and hours of setup if you can't ctrl+c/v from your last project

[turtlebits]

AI is especially good at writing IaC. Most small projects I let it write a Dockerfile too.