kubeadm-dind-cluster

A Kubernetes multi-node cluster for developer of Kubernetes and projects that extend Kubernetes. Based on kubeadm and DIND (Docker in Docker).

Supports both local workflows and workflows utilizing powerful remote machines/cloud instances for building Kubernetes, starting test clusters and running e2e tests.

If you're an application developer, you may be better off with Minikube because it's more mature and less dependent on the local environment, but if you're feeling adventurous you may give kubeadm-dind-cluster a try, too. In particular you can run kubeadm-dind-cluster in CI environment such as Travis without having issues with nested virtualization.

Requirements

Docker 1.12+ is recommended. If you're not using one of the preconfigured scripts (see below) and not building from source, it's necessary to have kubectl executable in your path matching the version of k8s binaries you're using (i.e. for example don't try to use kubectl 1.6.x with hyperkube 1.5.x).

kubeadm-dind-cluster supports k8s versions 1.5.x (tested with 1.5.4), 1.6.x (tested with 1.6.6) and 1.7 (tested with 1.7.3).

As of now, running kubeadm-dind-cluster on Docker with btrfs storage driver is not supported.

The problems include inability to properly clean up DIND volumes due to a docker bug which is not really fixed and, more importantly, a kubelet problem. If you want to run kubeadm-dind-cluster on btrfs anyway, set RUN_ON_BTRFS_ANYWAY environment variable to a non-empty value.

By default kubeadm-dind-cluster uses dockerized builds, so no Go installation is necessary even if you're building Kubernetes from source. If you want you can overridde this behavior by setting KUBEADM_DIND_LOCAL to a non-empty value in config.sh.

Mac OS X considerations

Ensure to have md5sha1sum installed. If not existing can be installed via brew install md5sha1sum.

When building Kubernetes from source on Mac OS X, it should be possible to build kubectl locally, i.e. make WHAT=cmd/kubectl must work.

Using preconfigured scripts

kubeadm-dind-cluster currently provides preconfigured scripts for Kubernetes 1.5, 1.6 and 1.7. This may be convenient for use with projects that extend or use Kubernetes. For example, you can start Kubernetes 1.7 like this:

$ wget https://cdn.rawgit.com/Mirantis/kubeadm-dind-cluster/master/fixed/dind-cluster-v1.7.sh
$ chmod +x dind-cluster-v1.7.sh

$ # start the cluster
$ ./dind-cluster-v1.7.sh up

$ # add kubectl directory to PATH
$ export PATH="$HOME/.kubeadm-dind-cluster:$PATH"

$ kubectl get nodes
NAME          STATUS         AGE
kube-master   Ready,master   1m
kube-node-1   Ready          34s
kube-node-2   Ready          34s

$ # k8s dashboard available at http://localhost:8080/ui

$ # restart the cluster, this should happen much quicker than initial startup
$ ./dind-cluster-v1.7.sh up

$ # stop the cluster
$ ./dind-cluster-v1.7.sh down

$ # remove DIND containers and volumes
$ ./dind-cluster-v1.7.sh clean

Replace 1.7 with 1.5 or 1.6 to use other Kubernetes versions. Important note: you need to do ./dind-cluster....sh clean when you switch between Kubernetes versions (but no need to do this between rebuilds if you use BUILD_HYPERKUBE=y like described below).

Using with Kubernetes source

$ git clone git@github.com:Mirantis/kubeadm-dind-cluster.git ~/dind

$ cd ~/work/kubernetes/src/k8s.io/kubernetes

$ export BUILD_KUBEADM=y
$ export BUILD_HYPERKUBE=y

$ # build binaries+images and start the cluster
$ ~/dind/dind-cluster.sh up

$ kubectl get nodes
NAME          STATUS         AGE
kube-master   Ready,master   1m
kube-node-1   Ready          34s
kube-node-2   Ready          34s

$ # k8s dashboard available at http://localhost:8080/ui

$ # run conformance tests
$ ~/dind/dind-cluster.sh e2e

$ # restart the cluster rebuilding
$ ~/dind/dind-cluster.sh up

$ # run particular e2e test based on substring
$ ~/dind/dind-cluster.sh e2e "existing RC"

$ # shut down the cluster
$ ~/dind/dind-cluster.sh down

The first dind/dind-cluster.sh up invocation can be slow because it needs to build the base image and Kubernetes binaries. Subsequent invocations are much faster.

Configuration

You may edit config.sh to override default settings. See comments in the file for more info. In particular, you can specify CNI plugin to use via CNI_PLUGIN variable (bridge, flannel, calico, weave).

Remote Docker / GCE

It's possible to build Kubernetes on a remote machine running Docker. kubeadm-dind-cluster can consume binaries directly from the build data container without copying them back to developer's machine. An example utilizing GCE instance is provided in gce-setup.sh. You may try running it using source (.) so that docker-machine shell environment is preserved, e.g.

. gce-setup.sh

The example is based on sample commands from build/README.md in Kubernetes source.

When using a remote machine, you need to use ssh port forwarding to forward KUBE_RSYNC_PORT and APISERVER_PORT you choose.

Motivation

hack/local-up-cluster.sh is widely used for k8s development. It has a couple of serious issues though. First of all, it only supports single node clusters, which means that it's hard to use it to work on e.g. scheduler-related issues and e2e tests that require several nodes can't be run. Another problem is that it has little resemblance to real clusters.

There's also k8s vagrant provider, but it's quite slow. Besides, cluster/ directory in k8s source is now considered deprecated.

Another widely suggested solution for development clusters is minikube, but currently it's not very well suited for development of Kubernetes itself. Besides, it's currently only supports single node, too, unless used with additional DIND layer like nkube.

kubernetes-dind-cluster is very nice & useful but uses a custom method of cluster setup (same as 2nd problem with local-up-cluster).

There's also sometimes a need to use a powerful remote machine or a cloud instance to build and test Kubernetes. Having Docker as the only requirement for such machine would be nice. Builds and unit tests are already covered by jbeda's work on dockerized builds, but being able to quickly start remote test clusters and run e2e tests is also important.

kubeadm-dind-cluster uses kubeadm to create a cluster consisting of docker containers instead of VMs. That's somewhat of a compromise but allows one to (re)start clusters quickly which is quite important when making changes to k8s source.

Moreover, some projects that extend Kubernetes such as Virtlet need a way to start kubernetes cluster quickly in CI environment without involving nested virtulization. Current kubeadm-dind-cluster version provides means to do this without the need to build Kubernetes locally.

Additional notes

At the moment, all non-serial [Conformance] e2e tests pass for clusters created by kubeadm-dind-cluster. [Serial]...[Conformance] tests currently have some issues. You may still try running them though:

$ dind/dind-cluster.sh e2e-serial

Related work

• kubeadm-dind-cluster was initially derived from kubernetes-dind-cluster, although as of now the code was completely rewritten. kubernetes-dind-cluster is somewhat faster but uses less standard way of k8s deployment. It also doesn't include support for consuming binaries from remote dockerized builds.
• kubeadm-ci-dind, kubeadm-ci-packager and kubeadm-ci-tester. These projects are similar to kubeadm-dind-cluster but are intended primarily for CI. They include packaging step which is too slow for the purpose of having convenient k8s "playground". kubeadm-dind-cluster uses Docker images from kubeadm-ci-dind.
• nkube starts Kubernetes-in-Kubernetes clusters.