Extend the Kubernetes API with Elixir.
Bonny make it easy to create Kubernetes Operators, Controllers, and Custom Schedulers.
If Kubernetes CRDs and controllers are new to you, read up on the terminology.
Kickstarting your first controller with bonny is very straight-forward. Bonny comes with some handy mix tasks to help you.
mix new your_operator
Now add bonny to your dependencies in mix.exs
def deps do
[
{:bonny, "~> 1.0"}
]
end
Install dependencies and initialize bonny. This task will ask you to answer a few questions about your operator.
Refer to the kubernetes docs for API group and API version.
mix deps.get
mix bonny.init
Don't forget to add the generated operator module to your application supervisor.
mix bonny.init
creates a configuration file config/bonny.exs
and imports it to config/config.exs
for you.
Configuring bonny is necessary for the manifest generation through mix bonny.gen.manifest
.
config :bonny,
# Function to call to get a K8s.Conn object.
# The function should return a %K8s.Conn{} struct or a {:ok, %K8s.Conn{}} tuple
get_conn: {K8s.Conn, :from_file, ["~/.kube/config", [context: "docker-for-desktop"]]},
# Set the Kubernetes API group for this operator.
# This can be overwritten using the @group attribute of a controller
group: "your-operator.example.com",
# Name must only consist of only lowercase letters and hyphens.
# Defaults to hyphenated mix app name
operator_name: "your-operator",
# Name must only consist of only lowercase letters and hyphens.
# Defaults to hyphenated mix app name
service_account_name: "your-operator",
# Labels to apply to the operator's resources.
labels: %{
"kewl": "true"
},
# Operator deployment resources. These are the defaults.
resources: %{
limits: %{cpu: "200m", memory: "200Mi"},
requests: %{cpu: "200m", memory: "200Mi"}
}
Running an operator outside of Kubernetes is not recommended for production use, but can be very useful when testing.
To start your operator and connect it to an existing cluster, one must first:
- Have configured your operator. The above example is a good place to start.
- Have some way of connecting to your cluster. The most common is to connect using your kubeconfig as in the example:
# config.exs
config :bonny,
get_conn: {K8s.Conn, :from_file, ["~/.kube/config", [context: "optional-alternate-context"]]}
If you've used mix bonny.init
to generate your config, it created a YourOperator.Conn
module for you. You can edit that instead.
- If RBAC is enabled, you must have permissions for creating and modifying
CustomResourceDefinition
,ClusterRole
,ClusterRoleBinding
andServiceAccount
. - Generate a manifest
mix bonny.gen.manifest
and install it using kubectlkubectl apply -f manifest.yaml
Now you are ready to run your operator
iex -S mix
Have a look at the guides that come with this repository. Some can even be opened as a livebook.
- Commandeering Kubernetes @ The Big Elixir 2019
- Kompost - Providing self-service management of resources for devs
- Eviction Operator - Bonny v 0.4
- Hello Operator - Bonny v 0.4
- Todo Operator - Bonny v 0.4
Bonny uses the telemetry
to emit event metrics.
Events: Bonny.Sys.Telemetry.events()
[
[:reconciler, :reconcile, :start],
[:reconciler, :reconcile, :stop],
[:reconciler, :reconcile, :exception],
[:watcher, :watch, :start],
[:watcher, :watch, :stop],
[:watcher, :watch, :exception],
[:scheduler, :binding, :start],
[:scheduler, :binding, :stop],
[:scheduler, :binding, :exception],
[:task, :execution, :start],
[:task, :execution, :stop],
[:task, :execution, :exception],
]
A custom resource is an extension of the Kubernetes API that is not necessarily available on every Kubernetes cluster. In other words, it represents a customization of a particular Kubernetes installation.
CRD Custom Resource Definition:
The CustomResourceDefinition API resource allows you to define custom resources. Defining a CRD object creates a new custom resource with a name and schema that you specify. The Kubernetes API serves and handles the storage of your custom resource.
A custom controller is a controller that users can deploy and update on a running cluster, independently of the cluster’s own lifecycle. Custom controllers can work with any kind of resource, but they are especially effective when combined with custom resources. The Operator pattern is one example of such a combination. It allows developers to encode domain knowledge for specific applications into an extension of the Kubernetes API.
A set of application specific controllers deployed on Kubernetes and managed via kubectl and the Kubernetes API.
I'm thankful for any contribution to this project. Check out the contribution guide