microk8s VS docker

FROM postgres:11CMD sleep 30 && postgres I'm reusing this example from the same issue with microk8s where I could solve it by changing the kubelet and kubeapi-server configuration files (see https://github.com/ubuntu/microk8s/issues/770 in case you're interested). I assume this is not possible with GKE clusters as they don't expose these files, probably for good reasons.

$ kubectl get podsNAME READY STATUS RESTARTS AGEbackend-deployment-66cff7d4c6-gwbzf 0/1 ImagePullBackOff 0 18s Before that it was ErrImagePull. So, my question is, how to tell it to use local docker images? Somewhere on the internet I read that I need to build images using microk8s.docker but it seems to be removed.

There's a whole community of hobbyists building Raspberry Pi clusters, porting things to work on various Arm processors, exploring and contributing to minimalist distros like k0s and microk8s, etc.

same pvc worked fine on "GKE" (Google Kubernetes Engine) but failing in my local cluster using microk8s

Local Kubernetes Clusters: It is now possible to run Kubernetes on local machines with tools such as Kubernetes in Docker (kind), minikube or MicroK8s. This allows developers to run their first experiments completely isolated from others and with low risk and low cost.

Local Kubernetes clusters are clusters that are running on the individual computer of the developer. There are many tools that provide such an environment, such as Minikube, microk8s, k3s, or kind. While they are not all the same, their use as a development environment is quite comparable.

Since the developer is the only one who has to access this cluster for development, local clusters can be a feasible solution for this purpose. Over time, several solutions have emerged that are particularly made for running Kubernetes in local environments. The most important ones are Kubernetes in Docker (kind), MicroK8s, minikube and k3s. For a comparison of these local Kubernetes options, you can look at this post.

Another very important distinction of this level is that developers have direct access to Kubernetes for the first time. While it is not strictly necessary, the standard case for the Kubernetes access with these tools is to use a local Kubernetes cluster, i.e. a Kubernetes cluster started with tools such as minikube, kind or MicroK8s on the local computer of the developer.

Everything is working fine, but it is not currently doing the automatic code reload. I tried mounting the volume but there is some conflict with the way docker and virtualbox handles files such that the conflict leads to file changes from the host not reflected in docker container. (That's not the first link I have that appears related to this problem, it's just the first I found while googling it on another day)...

github.com/docker/docker/client

Moby is the core of Docker. https://github.com/docker/docker redirects to it.

Docker however has made some major screwups in their IPv6 implementation, so it’s not so trivial as you’d expect it to be. There’s a whole discussion about it here: https://github.com/docker/docker.github.io/issues/6075 but the gist is: Docker cannot auto-assign addresses (SLAAC) like a normal endpoint, it also cannot request a prefix (DHCPv6 PD) like a router, you have to set it all up manually.

[1] https://github.com/docker/docker.github.io/issues/5325

That said, Swarm is definitely in maintenance mode, which is actually how some people like it, given that this means pretty good stability for the current features, instead of breaking changes, which are a slightly larger concern in the case of Kubernetes. However, this also means that new features will get implemented only occasionally, if ever - the last big one that i recall was Swarm jobs. Essentially, i'd say that it's still just a question of time until Swarm dies, but for now it's in the sweet spot of stability and usability if all that you need is a pretty simple and lightweight orchestrator.

From scrounging through the internet, my understanding is if multiple docker containers are run based on the same image, the only extra disk space used is what the writable layer uses and the read-only image data is shared by all the containers. https://github.com/docker/docker.github.io/issues/1520#issuecomment-305179362

Wowww: https://github.com/docker/docker.github.io/issues/6910#issue...

What the hell does "Docker's new direction to go back to its roots and focus on developer tooling" even mean? Docker is developer tooling, that's the whole product. That's not "going back to your roots" that's just doing your damn job.