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Deploy and maintain an usable Kubernetes cluster.

The Kubernetes Kubelet container runtime is rkt.

During the lifecycle of the Kubernetes cluster, rolling updates are fast and fully controlled.

• The rolling update of the configuration changes are granted by Enjoliver API /lifecycle/rolling/mac=00:01:02:03:04:05
• The semaphore is managed by locksmith.
• The Ignition is applied after a fast systemd-kexec or normal reboot

Each node can be re-installed and re-join the cluster.

The project is divided in 4 main topics:

1. Configuration of Kubernetes cluster roles:

   • control plane
   • node

2. Enjoliver Engine

   • Discovery Topology
   • Scheduling of Kubernetes roles
   • Lifecycle management

3. Enjoliver e2e testing

   • follow any associated releases
   • features, bug fix testing in cluster

4. Kubernetes cluster for development usage, ready to use with sample:

   • Helm / Tiller
   • Heapster
   • Kubernetes Dashboard
   • Kubernetes state metrics
   • Node exporter for Prometheus
   • Prometheus
   • Vault UI
   • CronJobs for etcd3 backups

Kubernetes controller manager is deployed as Pod on each nodes of the control plane. When the control plane runs the controller, the scheduler starts as a DaemonSet.

Vault, Kubernetes and Fleet have dedicated etcd clusters.

Vault pki backend secure the following components:

• etcd for fleet - API v2
  • peer
  • client
• etcd for kubernetes - API v3
  • peer
  • client
• kube-apiserver
  • x509 authentication for kubectl
  • service accounts
• kube-controller-manager
  • cluster signing key
• kubelet

Each etcd cluster supports automatic members replacement.

The configuration of each host is managed by Ignition.

• etcd
• cni
• rkt
• kubernetes
  • PR: ~/aci/aci-hyperkube/patches
• vault
• Container Linux

• fleet

Official project

Enjoliver use 3 profiles in matchbox

1. discovery
2. etcd-member-kubernetes-control-plane
3. kubernetes-node

The discovery allows to boot in memory CoreOS instances to proceed of:

1. sending the facts of the machine (MAC address, IP address, ...)
2. fetch his role
3. disk installation

For matchbox, the discovery profile has one group without any selector.

In this case, all un-selected machines will match this profile by default. This profile has one associated group, with 2 metadata entries:

1. api uri
2. ssh-key

How the discovery process works:

This role is for:

1. etcd members
   • vault
   • fleet
   • kubernetes
2. vault
3. kube-{apiserver, controller-manager, scheduler}

This role need to be bootstrapped as 3, 5, ... instances and is needed by all the other nodes.

To solve this problem, the Enjoliver Scheduler will apply the roles only if the required number of instances are available.

So, if the cluster size is 5, the first 5 instances in discovery will get this role.

This role is a standard worker (Kubernetes node)

All additional nodes over the wanted etcd-member-kubernetes-control-plane requirements will become kubernetes-node

Each minute, every machine reports the content of /usr/share/oem/coreos-install.json to the enjoliver API lifecycle/ignition/ Enjoliver will query matchbox and compare the content of the current ignition report and the desired ignition provided by matchbox. The result will be stored in the database and returned to the machine.

If the state is outdated, the machine will ask its rollingUpdate strategy:

• disable : unset
• kexec
• reboot
• poweroff

If a strategy is returned, the machine try to takes a lock in locksmith and proceed to tear down the machine. The tear down proceed to drain the kubernetes node. Its disable the scheduling of the node.

When the machine goes back, the ready process starts:

• check etcd-vault
• check etcd-kubernetes
• check etcd-fleet
• check kubernetes cluster trough the local kube-apiserver
• check the kubelet
• check if the node is registered in fleet machines
  • trough local etcd-fleet
  • over remotes etcd-fleet
• uncordon the kubernetes node
• release the lock in locksmith

Everything has to go through this endpoint.

This is the available routes:

[
  "/", 
  "/apidocs/", 
  "/apidocs/index.html", 
  "/apispec_1.json", 
  "/assets", 
  "/assets/<path:path>", 
  "/backup/db", 
  "/backup/export", 
  "/boot.ipxe", 
  "/boot.ipxe.0", 
  "/config", 
  "/configs", 
  "/discovery", 
  "/discovery/ignition-journal", 
  "/discovery/ignition-journal/<string:uuid>", 
  "/discovery/ignition-journal/<string:uuid>/<string:boot_id>", 
  "/discovery/interfaces", 
  "/flasgger_static/<path:filename>", 
  "/healthz", 
  "/ignition", 
  "/ignition-pxe", 
  "/ignition/version", 
  "/ignition/version/<string:filename>", 
  "/install-authorization/<string:request_raw_query>", 
  "/ipxe", 
  "/lifecycle/coreos-install", 
  "/lifecycle/coreos-install/<string:status>/<string:request_raw_query>", 
  "/lifecycle/ignition", 
  "/lifecycle/ignition/<string:request_raw_query>", 
  "/lifecycle/rolling", 
  "/lifecycle/rolling/<string:request_raw_query>", 
  "/metadata", 
  "/metrics", 
  "/scheduler", 
  "/scheduler/<string:role>", 
  "/scheduler/available", 
  "/scheduler/ip-list/<string:role>", 
  "/shutdown", 
  "/static/<path:filename>", 
  "/sync-notify", 
  "/ui", 
  "/ui/view/machine", 
  "/ui/view/states"
]

A Swagger UI is available at /apidocs/index.html

The Enjoliver API is backed by a SQL database.

Matchbox store his state inside filesystem folders (JSON).

To keep it up-to-date, the sync process query the Enjoliver API /scheduler/...

In this current topology, the matchbox state isn't critical and can be regenerated at any time.

By querying the Enjoliver API /scheduler/available, the scheduler can affect discovery instances to a role.

You can take as example the aci/aci-enjoliver to see how the rkt container is built with dgr

Fulfill the configuration file app/configs.yaml

About the aci, you need pass all the dgr test or adapt the ignition files.

This part will soon have a better documentation.

If you still want to try you can follow this steps:

Requirements:

• Linux with filesystem overlay for dgr
• See apt.sh for the needed packages or sudo make apt
• See .travis.yml as a setup example & unit / integration tests

All in one dev setup:

# Clone the project inside a valid GOPATH
git clone https://github.com/blablacar/enjoliver.git ${GOPATH}/src/github.com/blablacar/enjoliver

# Be sure the GOPATH is fowarded across Makefiles or do it step by step
sudo -E make dev_setup

Step-by-step:

make submodules
make -C runtime dev_setup
make -C app/tests testing.id_rsa
make front
make pip
make -C matchbox/assets/discoveryC
make -C matchbox/assets/enjoliver-agent

# Very long:
sudo -E make aci
sudo -E make container_linux

# misc
make config
sudo -E chown -R ${SUDO_USER}: $(CWD)

# Validate
make validate

Start an interactive Kubernetes deployment of 2 nodes:

# Start the deployment
sudo make -C app/tests check_euid_it_plans_enjolivage_disk_2_nodes

The enjoliver API is available on 127.0.0.1:5000, the user interface is behind the /ui

At the end of the setup, a kubectl proxy is running on 127.0.0.1:8001

Starting to serve on 127.0.0.1:8001
#####################################
mkdir -pv ~/.kube
cat << EOF >> ~/.kube/config
apiVersion: v1
clusters:
- cluster:
    server: http://127.0.0.1:8001
  name: enjoliver
contexts:
- context:
    cluster: enjoliver
    namespace: default
    user: 
  name: e
current-context: e
kind: Config
preferences:
  colors: true
EOF
kubectl config use-context e
#####################################

Connect inside with ssh:

./app/s.sh