This is an opinionated plugin to deploy docker images and helm charts to kubernetes.
Deployment configurations are organised through profiles and directives.
Available directives are: dockerLogin
,dockerBuild
, dockerPush
, deploy
,helmPush
The plugin is build for a multi-module setup. You may define default values in the rootProject and customize them in the subProjects
- helm is installed and available in path (only needed for deploy directive)
- helmpush is installed and available in path (only needed for helmPush directive)
- docker is installed and available in path
Per default the plugin expects your sources in the following directories:
- Docker files:
src/docker
- Helm chart:
src/helm
Apply the current version of the Plugin:
plugins {
id "net.mayope.deployplugin" version "x.x.x"
}
deploy {
serviceName = "hello" // docker image and helm deployment name
default{ // use the default profile
dockerBuild {
prepareTask = "prepareBuildDocker" // task the copies all needed files to build/buildDocker
version = "0.0.1" // if not set gradle project version "-$timestamp" is used
architecture = "linux/amd64" // if not set docker default architecture is chosen
}
dockerScan {
failOnThreshold = "CRITICAL" //when not set build failes with high vulnerabilities
ignoreFilePath = "path/to/ignore/file" //if not set the grype.yaml is expected in the project dir
}
dockerPush {
registryRoot = "registry.mayope.net" // docker registry to use
loginUsername = "username" // username for the docker registry, needed on login method classic
loginPassword = "password" // password for the docker registry, needed on login method classic
loginMethod = DockerLoginMethod.CLASSIC // Docker login method, for AWS see below
awsProfile = "default" // default null, not set
}
deploy {
targetNamespaces = listOf("default") // all namespaces where the app should be deployt
attributes = mapOf("key" to "value") // this map is given to helm if you need to parameterize your helm chart
kubeConfig = System.getProperty("user.home")+"/.kube/config" // default null, not set
}
helmPush {
version = "0.0.1" //if not set chart version is used
repositoryUrl = "https://charts.example.net"
repositoryUsername = "username"
repositoryPassword = "123456"
}
}
}
Execute the prepareDockerBuild
task which you have to configure.
It should place all files needed for the docker build to the directory build/buildDocker
.
The docker image is built in the directory build/buildDocker
and tagged with {serviceName}:{timestamp}
Uses grype to scan the built Docker images. The step is not needed. For further information check: https://github.com/anchore/grype.
The previous build docker image is pushed to {registry}/{serviceName}:{timestamp}
and {registry}/{serviceName}:{latest}
The helm chart is applied through helm upgrate --install {serviceName} . --image={registry}/{serviceName}:{timestamp}
.
If a kubeConfig is set it will be set as KUBECONFIG
environment variable.
attributes
will be delivered to helm via the --set
directive.
If a dockerPush
directive is present in the same profile it will also deliver the variables image.version
with the
docker image version that was just build. And the variable image.repository
with the image Repository that was just
build( e.g. registry.mayope.net/demoapp
).
Per default the plugin won't redeploy a docker image that is already present in the same chart but marked with another tag.
The plugin will check both docker images layer hashes and if they are identical it won't deploy a new version.
This can be turned off by the parameter skipLayerCheck
.
The helm chart is pushed to this helm repository using basic auth provided in the parameters
For a multi project setup you can specify defaultDeploy
parameters in the rootProject. (only the root project is
considered)
These attributes are taken for each deploy plugin if you do not specify them otherwise.
plugins {
id "net.mayope.deployplugin" version "x.x.x"
}
deployDefault {
default { // Use the default profile
dockerBuild {
prepareTask = "prepareBuildDocker"
}
dockerPush{
registryRoot = "registry.mayope.net"
loginUsername = "username"
loginPassword = "password"
loginMethod = DockerLoginMethod.CLASSIC
awsProfile = ""
}
deploy{
targetNamespaces = listOf("default")
kubeConfig = System.getProperty("user.home")+"/.kube/config"
attributes = mapOf("key" to "value") // These attributes are merged with the attributes of deploy {}
}
}
}
Currently, two login methods are available.
This method uses the docker login
command with username and password. You have to provide the
parameters loginUserName
and loginPassword
.
This method uses the docker login
command with host set to registryRoot
, username and password. You have to provide the
parameters loginUserName
and loginPassword
.
This method extracts the login token from the aws ecr get-login-password
command. Therefore, you need to have
the aws-cli v2 installed and configured for your
account. Therefore, the awsProfile
is used as AWS_PROFILE
environment variable for the aws
-command.