If you are using a released version of Kubernetes, you should refer to the docs that go with that version.
The latest release of this document can be found [here](http://releases.k8s.io/release-1.1/docs/proposals/config_data.md).Documentation for other releases can be found at releases.k8s.io.
This proposal proposes a new API resource, ConfigData
, that stores data used for the configuration
of applications deployed on Kubernetes
.
The main focus points of this proposal are:
- Dynamic distribution of configuration data to deployed applications.
- Encapsulate configuration information and simplify
Kubernetes
deployments. - Create a flexible configuration model for
Kubernetes
.
A Secret
-like API resource is needed to store configuration data that pods can consume.
Goals of this design:
- Describe a
ConfigData
API resource - Describe the semantics of consuming
ConfigData
as environment variables - Describe the semantics of consuming
ConfigData
as files in a volume
- As a user, I want to be able to consume configuration data as environment variables
- As a user, I want to be able to consume configuration data as files in a volume
- As a user, I want my view of configuration data in files to be eventually consistent with changes to the data
Many programs read their configuration from environment variables. ConfigData
should be possible
to consume in environment variables. The rough series of events for consuming ConfigData
this way
is:
- A
ConfigData
object is created - A pod that consumes the configuration data via environment variables is created
- The pod is scheduled onto a node
- The kubelet retrieves the
ConfigData
resource(s) referenced by the pod and starts the container processes with the appropriate data in environment variables
Many programs read their configuration from configuration files. ConfigData
should be possible
to consume in a volume. The rough series of events for consuming ConfigData
this way
is:
- A
ConfigData
object is created - A new pod using the
ConfigData
via the volume plugin is created - The pod is scheduled onto a node
- The Kubelet creates an instance of the volume plugin and calls its
Setup()
method - The volume plugin retrieves the
ConfigData
resource(s) referenced by the pod and projects the appropriate data into the volume
Any long-running system has configuration that is mutated over time. Changes made to configuration data must be made visible to pods consuming data in volumes so that they can respond to those changes.
The resourceVersion
of the ConfigData
object will be updated by the API server every time the
object is modified. After an update, modifications will be made visible to the consumer container:
- A
ConfigData
object is created - A new pod using the
ConfigData
via the volume plugin is created - The pod is scheduled onto a node
- During the sync loop, the Kubelet creates an instance of the volume plugin and calls its
Setup()
method - The volume plugin retrieves the
ConfigData
resource(s) referenced by the pod and projects the appropriate data into the volume - The
ConfigData
referenced by the pod is updated - During the next iteration of the
syncLoop
, the Kubelet creates an instance of the volume plugin and calls itsSetup()
method - The volume plugin projects the updated data into the volume atomically
It is the consuming pod's responsibility to make use of the updated data once it is made visible.
Because environment variables cannot be updated without restarting a container, configuration data consumed in environment variables will not be updated.
- Easy to consume in pods; consumer-agnostic
- Configuration data is persistent and versioned
- Consumers of configuration data in volumes can respond to changes in the data
The ConfigData
resource will be added to the extensions
API Group:
package api
// ConfigData holds configuration data for pods to consume.
type ConfigData struct {
TypeMeta `json:",inline"`
ObjectMeta `json:"metadata,omitempty"`
// Data contains the configuration data. Each key must be a valid DNS_SUBDOMAIN or leading
// dot followed by valid DNS_SUBDOMAIN.
Data map[string]string `json:"data,omitempty"`
}
type ConfigDataList struct {
TypeMeta `json:",inline"`
ListMeta `json:"metadata,omitempty"`
Items []ConfigData `json:"items"`
}
A Registry
implementation for ConfigData
will be added to pkg/registry/configdata
.
The EnvVarSource
will be extended with a new selector for config data:
package api
// EnvVarSource represents a source for the value of an EnvVar.
type EnvVarSource struct {
// other fields omitted
// Specifies a ConfigData key
ConfigData *ConfigDataSelector `json:"configData,omitempty"`
}
// ConfigDataSelector selects a key of a ConfigData.
type ConfigDataSelector struct {
// The name of the ConfigData to select a key from.
ConfigDataName string `json:"configDataName"`
// The key of the ConfigData to select.
Key string `json:"key"`
}
The volume source will be addressed in a follow-up PR.
apiVersion: extensions/v1beta1
kind: ConfigData
metadata:
name: etcd-env-config
data:
number_of_members: 1
initial_cluster_state: new
initial_cluster_token: DUMMY_ETCD_INITIAL_CLUSTER_TOKEN
discovery_token: DUMMY_ETCD_DISCOVERY_TOKEN
discovery_url: http://etcd-discovery:2379
etcdctl_peers: http://etcd:2379
This pod consumes the ConfigData
as environment variables:
apiVersion: v1
kind: Pod
metadata:
name: config-env-example
spec:
containers:
- name: etcd
image: openshift/etcd-20-centos7
ports:
- containerPort: 2379
protocol: TCP
- containerPort: 2380
protocol: TCP
env:
- name: ETCD_NUM_MEMBERS
valueFrom:
configData:
configDataName: etcd-env-config
key: number_of_members
- name: ETCD_INITIAL_CLUSTER_STATE
valueFrom:
configData:
configDataName: etcd-env-config
key: initial_cluster_state
- name: ETCD_DISCOVERY_TOKEN
valueFrom:
configData:
configDataName: etcd-env-config
key: discovery_token
- name: ETCD_DISCOVERY_URL
valueFrom:
configData:
configDataName: etcd-env-config
key: discovery_url
- name: ETCDCTL_PEERS
valueFrom:
configData:
configDataName: etcd-env-config
key: etcdctl_peers
In the future, we may add the ability to specify an init-container that can watch the volume contents for updates and respond to changes when they occur.