Kubernetes
This library allows you to perform deployments to static or ephemeral Kubernetes application environments with Helm
Steps Provided
Step | Description |
---|---|
|
Performs a deployment using Helm |
|
Creates a short-lived application environment for testing |
Library Configurations
The configurations for the Kubernetes library can be specified in the library spec or on a per application environment.
Kubernetes Credential and Context
The Kubernetetes Credential is the Jenkins credential defined as a Secrets file that holds the kubeconfig fie contents with access information to the kubernetes target environments. The Kubernetes Context is the context within the kubeconfig that should be used to identify the target environment for deployment.
You would specify this as follows:
application_environments{
dev{
short_name = "dev"
long_name = "Development"
}
test{
short_name = "test"
long_name = "Test"
k8s_context = "test"
}
prod{
short_name = "prod"
long_name = "Production"
k8s_credential = "cluster1-config"
k8s_context = "production"
}
}
libraries{
kubernetes{
k8s_credential = "cluster2-config"
k8s_context = "dev"
}
}
With this configuration, dev
context within the cluster2-config
would be used when deploying to dev
and the test
context within the cluster2-config
would be used when deploying to test
while production
context within the cluster1-config
would be used when deploying to prod
. Together k8s_credential and k8s_context uniquely identify the target environment for deployment.
Helm Configuration
We use Helm for a deployment mechanism to Kubernetes. Helm is a package manager and templating engine for Kubernetes manifests. Using Helm, the typical YAML manifests used to deploy to Kubernetes distributions can be templatized for reuse. In our case, a different values file is used for each static application environment.
Deploy the Tiller Server
Instead of using Helm as a package manager by bundling the charts and deploying them to a chart repository, we instead use a configuration repository as our Infrastructure as Code mechanism.
Create Helm Configuration Repository
You’ll need to create a GitHub repository to store the helm chart for your application(s). See the helm docs on provisioning a new chart to get intialize the repository with the skeleton for your chart.
How you choose to build your helm chart is up to you, you can put every api object in the templates
directory or have subcharts for each individual microservice. SDP doesn’t care, as all it does is clone the github repository and deploy the chart using the specified values file.
Values File Conventions
Given that we tag container images using the git SHA, SDP will clone your helm configuration repository and update a key corresponding to the current version of each container image for each application environment.
As such, a certain syntax is required in your values file. You must have an image_shas
key. SDP will automatically add subkeys for each repositories under this image_shas
with a value that is the git SHA.
Given that YAML keys can’t have hyphens, hyphens in repository names will be replaced with underscores. |
image_shas:
my_sample_application: abcdefgh
another_repo: abcdef
you can add whatever other keys are necessary to appropriately parameterize your helm chart.
Helm Configurations for the Library
The helm configuration repository, github credential, tiller credential namespace can be configured globally in the library spec and overriden for specific application environments.
The values file to will default to values.${app_env.short_name}.yaml
, or can be overridden via app_env.chart_values_file
.
The name of the release will default to app_env.short_name
, or can be overridden via app_env.tiller_release_name
An example of helm configurations:
application_environments{
dev{
short_name = "dev"
long_name = "Development"
chart_values_file = "dev_values.yaml"
}
test{
short_name = "test"
long_name = "Test"
tiller_release_name = "banana"
}
prod{
short_name = "prod"
long_name = "Production"
tiller_namespace = "rhs-tiller-prod"
}
}
libraries{
kubernetes{
helm_configuration_repository = "https://github.boozallencsn.com/Red-Hat-Summit/helm-configuration.git"
helm_configuration_repository_credential = "github"
tiller_namespace = "rhs-tiller"
}
}
Promoting Images
It’s often beneficial to build a container image once, and then promote that image through different application environments. This makes it possible to test the content of an image once in a lower environment, and remain confident that the results of those tests would be the same as an image is promoted. Promoting images also speeds up the CI/CD pipeline, as building a container image is often the most time-consuming part of the pipeline.
By default, the deploy_to()
step of the kubernetes pipeline library will promote a container image if it can expect one to exist, which is when the most recent code change was a merge into the given code branch. The image would be expected to be built from an earlier commit, or while there was an open PR.
You can override this default for the entire pipeline by setting the promote_previous_image
config setting to false. You can also choose whether or not to promote images for each application environment individually through the promote_previous_image
application_environment setting. This app_env setting takes priority over the config setting.
An example of these settings' usage:
application_environments{
dev{
short_name = "dev"
long_name = "Development"
promote_previous_image = false
}
prod{
short_name = "prod"
long_name = "Production"
}
}
libraries{
kubernetes{
helm_configuration_repository = "https://github.boozallencsn.com/Red-Hat-Summit/helm-configuration.git"
helm_configuration_repository_credential = "github"
tiller_namespace = "rhs-tiller"
k8s_credential = "cluster1-config"
k8s_context = "staging"
promote_previous_image = true //note: making this setting true is redundant, since true is the default
}
}
Putting It All Together
Field | Description | Default Value | Defined On (Library Config or Application Environment) |
---|---|---|---|
k8s_credential |
The Jenkins credential ID defined as a Secrets File that holds the kubeconfig file |
both |
|
helm_configuration_repository |
The GitHub Repository containing the helm chart(s) for this application |
both |
|
helm_configuration_repository_credential |
The Jenkins credential ID to access the helm configuration GitHub repository |
both |
|
tiller_namespace |
The tiller namespace for this application |
both |
|
k8s_context |
The Jenkins credential ID specifying the context within the k8s_credential kubeconfig that identifies the target environment |
both |
|
tiller_release_name |
The name of the release to deploy |
app env |
|
chart_values_file |
The values file to use for the release |
app_env |
|
promote_previous_image |
Whether or not to promote a previously-built image |
(Boolean) true |
both |
application_environments{
dev{
short_name = "dev"
long_name = "Development"
chart_values_file = "dev_values.yaml"
}
test{
short_name = "test"
long_name = "Test"
tiller_release_name = "banana"
k8s_credential = "test-context"
}
prod{
short_name = "prod"
long_name = "Production"
tiller_namespace = "rhs-tiller-prod"
k8s_credential = "prod-clusters"
k8s_context = "canary-context"
promote_previous_image = true
}
}
libraries{
kubernetes{
k8s_credential = "dev-test-clusters"
helm_configuration_repository = "https://github.boozallencsn.com/Red-Hat-Summit/helm-configuration.git"
helm_configuration_repository_credential = "github"
tiller_namespace = "rhs-tiller"
k8s_credential = "dev-context"
promote_previous_image = false
}
}
External Dependencies
-
Target Kubernetes cluster is deployed and accessible from Jenkins
-
Helm configuration repository creates
-
Values files contain the
image_shas
key convention -
A Jenkins credential exists to access helm configuration repository
-
A Jenkins credential exists holding the kubeconfig file
-
A Jenkins credential exists specifying the current context within the kubeconfig