Cluster Lifecycle Manager (CLM) to provision and update multiple Kubernetes clusters
Clone or download
Latest commit 8745632 Dec 12, 2018
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
api Don't wait for Spot pool nodes (#72) Aug 10, 2018
awsdata Update awsdata/instances.json Aug 16, 2018
channel Add a separate concurrency limit for forks Nov 28, 2018
cmd/clm Don't re-register pprof handlers (#104) Dec 4, 2018
config Add a separate concurrency limit for forks Nov 28, 2018
controller Close the context once we're done (#105) Dec 5, 2018
docs Add support for config items per node pool Jun 11, 2018
pkg instance_info_test: add a test for non-nvme instances Dec 11, 2018
provisioner Added validation of port ranges Dec 12, 2018
registry Update dependencies Aug 18, 2018
.gitignore Open Source Cluster Lifecycle Manager (CLM) Apr 27, 2018
.travis.yml fix: temporarily hard code go version to 1.10 Aug 6, 2018
.zappr.yaml Open Source Cluster Lifecycle Manager (CLM) Apr 27, 2018
CONTRIBUTING.md Open Source Cluster Lifecycle Manager (CLM) Apr 27, 2018
Dockerfile Update kubectl to v1.10.5 Jun 27, 2018
Gopkg.lock Add a separate concurrency limit for forks Nov 28, 2018
Gopkg.toml Downgrade container-linux-config-transpiler Aug 20, 2018
LICENSE Open Source Cluster Lifecycle Manager (CLM) Apr 27, 2018
MAINTAINERS Open Source Cluster Lifecycle Manager (CLM) Apr 27, 2018
Makefile Update awsdata/instances.json Aug 16, 2018
README.md Read configuration defaults from a file (#34) May 29, 2018
SECURITY.md Open Source Cluster Lifecycle Manager (CLM) Apr 27, 2018
delivery.yaml Switch to ci/golang overlay Aug 16, 2018

README.md

Cluster Lifecycle Manager (CLM)

Build Status Coverage Status Go Report Card

The Cluster Lifecycle Manager (CLM) is a component responsible for operating (create, update, delete) Kubernetes clusters. It interacts with a Cluster Registry and a configuration source from which it reads information about the clusters and keep them up to date with the latest configuration.

clm

The CLM is designed to run either as a CLI tool for launching clusters directly from your development machine, or as a controller running as a single instance operating many clusters.

It is designed in a reentrant way meaning it can be killed at any point in time and it will just continue any cluster updates from where it left off. All state is stored in the Cluster Registry and the git configuration repository.

For a better understanding on how we use the CLM within Zalando, see the 2018 KubeCon EU talk:

Current state

The CLM has been developed internally at Zalando since January 2017. It's currently used to operate 80+ clusters on AWS where the oldest clusters has been continuously updated all the way from Kubernetes v1.4 to Kubernetes v1.9 by the CLM.

It is currently tightly coupled with our production cluster configuration, but by making it Open Source and developing it in the open going forward we aim to make the CLM useful as a generic solution for operating Kubernetes clusters at scale.

Features

  • Automatically trigger cluster updates based on changes to a Cluster Registry defined either as an HTTP REST API or a yaml file.
  • Automatically trigger cluster updates based on configuration changes, where configuration is stored in a remote git repository or a local directory.
  • Perform Non-disruptive Rolling Updates of nodes in a cluster especially with respect to stateful applications.
  • Declarative deletion of decommissioned cluster resources.

How to build it

In order to build you first need to get the dependencies which are managed by dep. Follow the installation instructions to install it and then run the following:

$ dep ensure -vendor-only # install all dependencies

After dependencies are installed the CLM can be built simply by running:

$ make

How to run it

To run CLM you need to provide at least the following information:

  • URI to a registry --registry either a file path or a url to a cluster registry.
  • A $TOKEN used for authenticating with the target Kubernetes cluster once it has been provisioned (the $TOKEN is an assumption of the Zalando setup, we should support a generic kubeconfig in the future).
  • URL to repository containing the configuration --git-repository-url or, in alternative, a directory --directory

Run CLM locally

To run CLM locally you can use the following command. This assumes valid AWS credentials on your machine e.g. in ~/.aws/credentials.

$ ./build/clm provision \
  --registry=clusters.yaml \
  --token=$TOKEN \
  --directory=/path/to/configuration-folder \
  --debug

The provision command does a cluster create or update depending on whether the cluster already exists. The other command is decommission which terminates the cluster.

The clusters.yaml is of the following format:

clusters:
- id: cluster-id
  alias: alias-for-cluster-id # human readable alias
  local_id: local-cluster-id  # used for separating clusters in the same AWS account
  api_server_url: https://kube-api.example.org
  config_items:
    custom_config_item: value # custom key/value config items
  criticality_level: 1
  environment: test
  infrastructure_account: "aws:12345678910" # AWS account ID
  region: eu-central-1
  provider: zalando-aws
  node_pools:
  - name: master-default
    profile: master-default
    min_size: 2
    max_size: 2
    instance_type: m5.large
    discount_strategy: none
  - name: worker-default
    profile: worker-default
    min_size: 3
    max_size: 20
    instance_type: m5.large
    discount_strategy: none

Deletions

By default the Cluster Lifecycle Manager will just apply any manifest defined in the manifests folder. In order to support deletion of deprecated resources the CLM will read a deletions.yaml file of the following format:

pre_apply: # everything defined under here will be deleted before applying the manifests
- name: mate
  namespace: kube-system
  kind: deployment
post_apply: # everything defined under here will be deleted after applying the manifests
- namespace: kube-system
  kind: deployment
  labels:
    application: external-dns
    version: "v1.0"

Whatever is defined in this file will be deleted pre/post applying the other manifest files, if the resource exists. If the resource has already been deleted previously it's treated as a no-op.

A resource can be identified either by name or labels if both are defined the name will be used. If none of them are defined, it's an error.

namespace can be left out, in which case it will default to kube-system.

kind must be one of the kinds defined in kubectl get.

Configuration defaults

CLM will look for a config-defaults.yaml file in the cluster configuration directory. If the file exists, it will be evaluated as a Go template with all the usual CLM variables and functions available, and the resulting output will be parsed as a simple key-value map. CLM will use the contents of the file to populate the cluster's configuration items, taking care not to overwrite the existing ones.

For example, you can use the defaults file to have different settings for production and test clusters, while keeping the manifests readable:

  • config-defaults.yaml:

    {{ if eq .Environment "production"}}
    autoscaling_buffer_pods: "3"
    {{else}}
    autoscaling_buffer_pods: "0"
    {{end}}
  • manifests/example/example.yaml:

    
    spec:
      replicas: {{.ConfigItems.autoscaling_buffer_pods}}
    

Non-disruptive rolling updates

One of the main features of the CLM is the update strategy implemented which is designed to do rolling node updates which are non-disruptive for workloads running in the target cluster. Special care is taken to support stateful applications.