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Setup

Instructions for setting up a Kubernetes cluster.

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Kubernetes on Mesos on Docker

The mesos/docker provider uses docker-compose to launch Kubernetes as a Mesos framework, running in docker with its dependencies (etcd & mesos).

Cluster Goals

Non-Goals:

Cluster Topology

The cluster consists of several docker containers linked together by docker-managed hostnames:

Component Hostname Description
docker-grand-ambassador   Proxy to allow circular hostname linking in docker
etcd etcd Key/Value store used by Mesos
Mesos Master mesosmaster1 REST endpoint for interacting with Mesos
Mesos Slave (x2) mesosslave1, mesosslave2 Mesos agents that offer resources and run framework executors (e.g. Kubernetes Kublets)
Kubernetes API Server apiserver REST endpoint for interacting with Kubernetes
Kubernetes Controller Manager controller  
Kubernetes Scheduler scheduler Schedules container deployment by accepting Mesos offers

Prerequisites

Required:

Optional:

Install on Mac (Homebrew)

It’s possible to install all of the above via Homebrew on a Mac.

Some steps print instructions for configuring or launching. Make sure each is properly set up before continuing to the next step.

brew install git
brew install caskroom/cask/brew-cask
brew cask install virtualbox
brew install docker
brew install docker-machine
brew install docker-compose

Install on Linux

Most of the above are available via apt and yum, but depending on your distribution, you may have to install via other means to get the latest versions.

It is recommended to use Ubuntu, simply because it best supports AUFS, used by docker to mount volumes. Alternate file systems may not fully support docker-in-docker.

In order to build Kubernetes, the current user must be in a docker group with sudo privileges. See the docker docs for instructions.

Docker Machine Config (Mac)

If on a Mac using docker-machine, the following steps will make the docker IPs (in the virtualbox VM) reachable from the host machine (Mac).

  1. Create VM

    oracle-virtualbox

    docker-machine create --driver virtualbox kube-dev
eval "$(docker-machine env kube-dev)"

  2. Set the VM’s host-only network to “promiscuous mode”:

    oracle-virtualbox

    conf docker-machine stop kube-dev VBoxManage modifyvm kube-dev --nicpromisc2 allow-all docker-machine start kube-dev

    This allows the VM to accept packets that were sent to a different IP.

    Since the host-only network routes traffic between VMs and the host, other VMs will also be able to access the docker IPs, if they have the following route.

  3. Route traffic to docker through the docker-machine IP:

sudo route -n add -net 172.17.0.0 $(docker-machine ip kube-dev)

Since the docker-machine IP can change when the VM is restarted, this route may need to be updated over time.
To delete the route later: `sudo route delete 172.17.0.0`

Walkthrough

  1. Checkout source

    shell git clone https://github.com/kubernetes/kubernetes cd kubernetes

    By default, that will get you the bleeding edge of master branch. You may want a release branch instead, if you have trouble with master.

  2. Build binaries

    You’ll need to build kubectl (CLI) for your local architecture and operating system and the rest of the server binaries for linux/amd64.

    Building a new release covers both cases:

    shell KUBERNETES_CONTRIB=mesos build/release.sh

    For developers, it may be faster to build locally.

  3. [Optional] Build docker images

    The following docker images are built as part of ./cluster/kube-up.sh, but it may make sense to build them manually the first time because it may take a while.

    1. Test image includes all the dependencies required for running e2e tests.

      shell ./cluster/mesos/docker/test/build.sh

      In the future, this image may be available to download. It doesn’t contain anything specific to the current release, except its build dependencies.

    2. Kubernetes-Mesos image includes the compiled linux binaries.

      shell ./cluster/mesos/docker/km/build.sh

      This image needs to be built every time you recompile the server binaries.

  4. [Optional] Configure Mesos resources

    By default, the mesos-slaves are configured to offer a fixed amount of resources (cpus, memory, disk, ports). If you want to customize these values, update the MESOS_RESOURCES environment variables in ./cluster/mesos/docker/docker-compose.yml. If you delete the MESOS_RESOURCES environment variables, the resource amounts will be auto-detected based on the host resources, which will over-provision by > 2x.

    If the configured resources are not available on the host, you may want to increase the resources available to Docker Engine. You may have to increase you VM disk, memory, or cpu allocation. See the Docker Machine docs for details (Virtualbox)

  5. Configure provider

    shell export KUBERNETES_PROVIDER=mesos/docker

    This tells cluster scripts to use the code within cluster/mesos/docker.

  6. Create cluster

    shell ./cluster/kube-up.sh

    If you manually built all the above docker images, you can skip that step during kube-up:

    shell MESOS_DOCKER_SKIP_BUILD=true ./cluster/kube-up.sh

    After deploying the cluster, ~/.kube/config will be created or updated to configure kubectl to target the new cluster.

  7. Explore tutorials

    To learn more about Pods, Volumes, Labels, Services, and Replication Controllers, start with the Kubernetes Tutorials.

    To skip to a more advanced example, see the Guestbook Example

  8. Destroy cluster

    shell ./cluster/kube-down.sh

Addons

The kube-up for the mesos/docker provider will automatically deploy KubeDNS and KubeUI addons as pods/services.

Check their status with:

./cluster/kubectl.sh get pods --namespace=kube-system

KubeUI

The web-based Kubernetes UI is accessible in a browser through the API Server proxy: https://<apiserver>:6443/ui/.

By default, basic-auth is configured with user admin and password admin.

The IP of the API Server can be found using ./cluster/kubectl.sh cluster-info.

End To End Testing

Warning: e2e tests can take a long time to run. You may not want to run them immediately if you’re just getting started.

While your cluster is up, you can run the end-to-end tests:

./cluster/test-e2e.sh

Notable parameters: - Increase the logging verbosity: -v=2 - Run only a subset of the tests (regex matching): -ginkgo.focus=<pattern>

To build, deploy, test, and destroy, all in one command (plus unit & integration tests):

make test_e2e

Kubernetes CLI

When compiling from source, it’s simpler to use the ./cluster/kubectl.sh script, which detects your platform & architecture and proxies commands to the appropriate kubectl binary.

ex: ./cluster/kubectl.sh get pods

Helpful scripts

Build Locally

The steps above tell you how to build in a container, for minimal local dependencies. But if you have Go and Make installed you can build locally much faster:

KUBERNETES_CONTRIB=mesos make

However, if you’re not on linux, you’ll still need to compile the linux/amd64 server binaries:

KUBERNETES_CONTRIB=mesos build/run.sh hack/build-go.sh

The above two steps should be significantly faster than cross-compiling a whole new release for every supported platform (which is what ./build/release.sh does).

Breakdown:

Support Level

IaaS Provider Config. Mgmt OS Networking Docs Conforms Support Level
Mesos/Docker custom Ubuntu Docker docs   Community (Kubernetes-Mesos Authors)

For support level information on all solutions, see the Table of solutions chart.

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