Abstractions need to be maintained - Kelsey Hightower
One major design aspect of Helm is that it forces the user to create individual abstractions of the Kubernetes configuration of applications. For each individual Helm Chart that is realized in form of YAML templates in a Helm charts /templates folder. These template files, containing boilerplate Kubernetes YAML code blocks on the one hand and custom configuration mappings utilizing Go Templating expressions on the other hand, provide the glue between the configuration of the application via the central values.yaml configuration file and the desired Kubernetes YAML output. Arguably this approach of per-application abstraction is suited well to create tailormade configuration packages for even the most specialized applications but comes at a cost of having a large overhead for simpler, recurring and off-the-shelf application packaging use cases. Creating, maintaining and (often) understanding the abstractions introduced by Helm Charts - especially when facing a high number of individual Helm charts from various sources - can become tedious and challenging.
The primary feature of the HULL library is the ability to remove customized YAML template files entirely from Helm chart workflows and thereby allowing to remove a level of abstraction. Using the HULL library chart, Kubernetes objects including all their properties can be completely and transparently specified in the values.yaml. The HULL library chart itself provides the uniform layer to streamline specification, configuration and rendering of Helm charts to achieve this. You can also think of it as a thin layer on top of the Kubernetes API to avoid the middleman between Helm Chart and Kubernetes API object configuration, yet providing flexibility when it is required to customize individual configuration options instead of requiring you to add each configuration switch manually to the templates. JSON schema validation based on the Helm JSON validation feature (via values.schema.json) aids in writing Kubernetes API conforming objects right from the beginning when using an IDE that supports live JSON schema validation. Additional benefits (uniform inheritable object metadata, simplified inclusion of ConfigMaps/Secrets, cross-referencing values within the values.yaml, ...) are available with HULL which you can read about below in the Key Features Overview. But maybe most importantly, the HULL library can be added as a dependency to any existing Helm chart and be used side-by-side without breaking any existing Helm charts functionalities, see adding the HULL library chart to a Helm chart for more information. And lastly, by being a library chart itself, everything works 100% within the functionality that plain Helm offers - no additional tooling is introduced or involved.
Your feedback on this project is valued, hence please comment or start a discussion in the Issues section or create feature wishes and bug reports. Thank you!
The HULL library chart idea is partly inspired by the common Helm chart concept and for testing
Before diving into the details of HULL, here is a first glimpse at how it works. You can simply download the latest version of the hull-demo Helm chart from the Releases section of this page, it has everything bootstrapped for testing out HULL or setting up a new Helm Chart based on HULL with minimal effort.
The hull-demo chart wraps a fictional application myapp with a frontend and backend deployment and service pair. There is a config file for the server configuration that is mounted to the backend pods. The frontend pods need to know about the backend service address via environment variables. Moreover, the setup should by default be easily switchable from a debug setup (using a NodePort for accessing the frontend) to a production-like setup (using a ClusterIP service and an ingress).
A bare default structure to capture these aspects may look like this (with added line comments for explanation):
hull: # HULL is configured via subchart key 'hull'
config: # chart setup takes place here for everything besides object definitions
specific: # central place for shared values specific to this chart
debug: true # a switch influencing creation of objects in this chart
application_version: v23.1 # a shared image tag for multiple container
myapp: # some exemplary configuration settings for the app, exposed here for transparency
rate_limit: 100
max_connections: 5
objects: # all objects to create are defined here
deployment: # create deployments
myapp-frontend: # the base part of the object name for frontend deployment
pod: # configure pod-related aspects
containers: # non-init containers
main: # one main container
image: # provide image reference
repository: mycompany/myapp-frontend # repository
tag: _HT*hull.config.specific.application_version # reference to central tag value above
ports: # exposed ports
http: # port name is http
containerPort: 80 # the port number
env: # environment variables
SERVER_HOSTNAME: # name of variable
value: _HT^myapp-backend # value is dynamically rendered reference to myapp-backend service name
SERVER_PORT: # name of variable
value: "8080" # backend service port
myapp-backend: # the base part of the object name for backend deployment
pod: # configure pod-related aspects
containers: # non-init containers
main: # one main container
image: # image reference
repository: mycompany/myapp-backend # repository
tag: _HT*hull.config.specific.application_version # reference to central tag value above
ports: # exposed ports
http: # port name is http
containerPort: 8080 # the port number
volumeMounts: # mounts of the container
appconfig: # context key is appconfig
name: myappconfig # the name needs to match a volume
mountPath: /etc/config/appconfig.json # mountPath
subPath: backend-appconfig.json # subPath
volumes: # volumes that may be mounted
myappconfig: # key matching a volumeMounts name
configMap: # configmap reference
name: myappconfig # the configmap to load, simply referenced by key name
configmap: # create configmaps
myappconfig: # the backend configuration
data: # data section
backend-appconfig.json: # key name is file name
inline: |- # define the contents of the file, using templating logic and references
{
"rate-limit": {{ .Values.hull.config.specific.myapp.rate_limit }},
"max-connections": {{ .Values.hull.config.specific.myapp.max_connections }},
"debug-log": {{ if .Values.hull.config.specific.debug }}true{{ else }}false{{ end }}
}
service: # create services
myapp-frontend: # frontend service, automatically matches pods with identical parent object's key name
type: |- # dynamically switch type based on hull.config.specific.debug setting
_HT!
{{- if (index . "$").Values.hull.config.specific.debug -}}
NodePort
{{- else -}}
ClusterIP
{{- end -}}
ports: # definition of service ports
http: # http port for type=ClusterIP
enabled: _HT?not (index . "$").Values.hull.config.specific.debug # bind rendering to debug: false condition
port: 80 # regular port
targetPort: http # targetPort setting
http_nodeport: # http port for type=NodePort
enabled: _HT?(index . "$").Values.hull.config.specific.debug # bind rendering to debug: true condition
port: 80 # regular port
nodePort: 31111 # the node port
targetPort: http # targetPort setting
myapp-backend: # backend service, automatically matches pods with identical parent object's key name
type: ClusterIP # in cluster service
ports: # definition of service ports
http: # http port
port: 8080 # regular port
targetPort: http # targetPort setting
ingress: # create ingresses
myapp: # the central frontend ingress
enabled: _HT?not (index . "$").Values.hull.config.specific.debug # rendering bound to debug: false
rules: # the ingress rules
myapp: # key-value dictionary of rules
host: SET_HOSTNAME_HERE # change the host at deployment time to actual one
http: # http settings
paths: # paths definition
standard: # a standard path definition
path: / # could be changed at deployment time
pathType: ImplementationSpecific # path type
backend: # backend config
service: # service targeted
name: myapp-frontend # key name suffices to reference service created in this chart
port: # target port
name: http # target port nameThis is the example constituting as hull-demo's values.yaml, if you download the latest hull-demo release and execute:
helm template hull-demo-<version>.tgz
it renders out a set of objects based on above values.yaml containing:
- a deployment for
myapp-frontendthat has a centrally configured imagetagset (by defaultv23.1), and environment variables pointing to themyapp-backend's service in-cluster address - a deployment for
myapp-backendthat has a centrally configured imagetagset (by defaultv23.1) and a configuration mounted from themyappconfigConfigMap - a
myappconfigConfigMap with a JSON file that is dynamically built by incorporating templating expressions and referencing values defined elsewhere invalues.yaml - a simple ClusterIP Service fronting
myapp-backendDeployment - a service fronting
myapp-frontenddeployment whose type and port configuration is dependend on the centraldebugswitch - either typeNodePortin adebugsetup mode or typeClusterIPin combination with amyappingress in non-debug setups - an ingress object
myappwhich is only rendered/created in case thedebug: falsevalue is set
Every aspect of this configuration can be changed or overwritten at deployment time using additional values.yaml overlay files, for example:
- switching the overall configuration from and to
debugmode by settingsdebug: trueordebug: false - adding resource definitions to the deployments
- setting hostname and path for the ingress
- add further environment variables to pods
- change
myappConfigMaps source values (rate_limitandmax_connections) or overwrite it completely - ...
All objects and logic was created with under a hundred lines of overall configuration code in the hull-demo's values.yaml. You can test all of the above mentioned aspects or simply experiment by adding additional values.yaml overlay files to the helm template command above. For bootstrapping your own Helm chart, just empty the values.yaml configuration, rename the charts folder and name in Chart.yaml to whatever you want and you are ready to go.
This is a first demo of how HULL could be used but there is a lot more functionality and supported use-cases. Check the key features and the detailed documentation for more information.
As highlighted above, when included in a Helm chart the HULL library chart can take over the job of dynamically rendering Kubernetes objects from their given specifications from the values.yaml file alone. With YAML object construction deferred to the HULL library's Go Templating functions instead of custom YAML templates in the /templates folder you can centrally enforce best practices:
-
Concentrate on what is needed to specify Kubernetes objects without having to add individual boilerplate YAML templates to your chart. This removes a common source of errors and maintenance from the regular Helm workflow. To have the HULL rendered output conform to the Kubernetes API specification, a large number of unit tests validate the HULL rendered output against the Kubernetes API JSON schema.
For more details refer to the documentation on JSON Schema Validation.
-
For all Kubernetes object types supported by HULL, full configurational access to the Kubernetes object types properties is directly available. This relieves chart maintainers from having to add missing configuration options one by one and the Helm chart users from forking the Helm chart to add just the properties they need for their configuration. Only updating the HULL chart to a newer version with matching Kubernetes API version is required to enable configuration of properties added to Kubernetes objects meanwhile in newer API versions. The HULL charts are versioned to reflect the minimal Kubernetes API versions supported by them.
For more details refer to the documentation on Architecture Overview.
-
The single interface of the HULL library is used to both create and configure objects in charts for deployment. This fosters the mutual understanding of chart creators/maintainers and consumers of how the chart actually works and what it contains. Digging into the
/templatesfolder to understand the Helm charts implications is not required anymore. To avoid any misconfiguration, the interface to the library - thevalues.yamlof the HULL library - is fully JSON validated. When using an IDE supporting live JSON schema validation (e.g. VSCode) you can get IDE guidance when creating the HULL objects. Before rendering, JSON schema conformance is validated by the HULL library.For more details refer to the documentation on JSON Schema Validation.
-
Uniform and rich metadata is automatically attached to all objects created by the HULL library.
- Kubernetes standard labels as defined for Kubernetes and Helm are added to all objects metadata automatically.
- Additional custom labels and annotations metadata can be set hierarchically for:
- all created Kubernetes objects or
- all created Kubernetes objects of a given type or
- a group of objects of different object types or
- any individual Kubernetes object.
For more details on metadata overwriting refer to the advanced example below.
-
Flexible handling of ConfigMap and Secret input by choosing between inline specification of contents in
values.yamlor import from external files for contents of larger sizes. When importing data from files the data can be either run through the templating engine or imported un-templated 'as is' if it already contains templating expressions that shall be passed on to the consuming application. With a focus on convenient handling of standard scenarios, you can also define file contents as a regular YAML structure in thevalues.yamland have HULL serialize it automatically to JSON or YAML by the file extension or explicily to any representation of your choice. HULL takes care of the Base64 encoding of Secrets so writing ConfigMaps and Secrets works the exact same way and adding ConfigMaps or Secrets to your deployment requires only a few lines of code.For more details refer to the documentation on ConfigMaps and Secrets.
-
Extensive defaulting capabilities for instantiating object instances. Whether you want to have all your object instances or groups of instances share certain aspects such as labels or annotations, container environment variables or mounted volumes, HULL provides support to efficiently define default values for object instance fields avoiding unnecessary configuration repetitions.
For more details refer to the Chart Design advices.
-
For more complex scenarios where actual values in the target YAML are subject to configurations in the
values.yaml, there is support to dynamically populate values by injecting Go Templating expressions defined in place of the value in thevalues.yaml. For example, if your concrete container arguments depend on various other settings invalues.yamlyou can inject the conditions into the calculation of the arguments or simply reference other fields in thevalues.yaml.For more details refer to the documentation on Transformations.
-
Enable automatic hashing of referenced ConfigMaps and Secrets to facilitate pod restarts on changes of configuration when required.
For more details refer to the documentation on Pods.
To learn more about the general architecture and features of the HULL library see the Architecture Overview
Some important things to mention first before looking at the library in more detail:
/templates folder is completely unaffected by integration of the HULL library chart. Sometimes you might have very specific requirements on your configuration or object specification which the HULL library does not meet so you can use the regular Helm workflow for them and the HULL library for your more standard needs - easily in parallel in the same Helm chart.
hull.yaml, must be copied 'as-is' without any modification from an embedded HULL charts root folder to the parent charts /templates folder to be able to render any YAML via HULL. It contains the code that initiates the HULL rendering pipeline, see adding the HULL library chart to a Helm chart for more details!
3.0.x are not compatible with HULL, all other currently existing non-beta and non-alpha versions are compatible.
1.27 and 1.28 and 1.29 have a matching and maintained HULL release.
If you like a hands on approach you are invited to take a look at the new HULL tutorials series at dev.to! The eigth part tutorial will start from the very beginning of setting up Helm and creating a HULL based chart to finalizing a real life HULL based Helm Chart step by step. To highlight the differences to the regular Helm chart workflow the tutorials take the popular kubernetes-dashboard Helm chart as a source and transport it to a functionally equivalent HULL based Helm chart. In the end it shows that reducing the lines of configuration to create and maintain can be reduced by more than 50% when using a HULL based approach instead of the regular Helm style of writing charts!
The tasks of creating and configuring a HULL based helm chart can be considered as two sides of the same coin. Both sides interact with the same interface (the HULL library) to specify the objects that should be created. The task from a creators/maintainers perspective is foremost to provide the ground structure for the objects that make up the particular application which is to be wrapped in a Helm chart. The consumer of the chart is tasked with appropriately adding his system specific context to the ground structure wherein he has the freedom to change and even add or delete objects as needed to achieve his goals. At deploy time the creators base structure is merged with the consumers system-specific yaml file to build the complete configuration. Interacting via the same library interface fosters common understanding of how to work with the library on both sides and can eliminate most of the tedious copy&paste creation and examination heavy configuration processes.
So all that is needed to create a helm chart based on HULL is a standard scaffolded helm chart directory structure. Add the HULL library chart as a sub-chart, copy the hull.yaml from the HULL library chart to your parent Helm charts /templates folder. Then just configure the default objects to deploy via the values.yaml and you are done. There is no limit as to how many objects of which type you create for your deployment package.
But besides allowing to define more complex applications with HULL you could also use it to wrap simple Kubernetes Objects you would otherwise either deploy via kubectl (being out-of-line from the management perspective with helm releases) or have to write a significant amount of Helm boilerplate templates to achieve this.
The base structure of the values.yaml understood by HULL is given here in the next section. This essentially forms the single interface for producing and consuming HULL based charts. Any object is only created in case it is defined and enabled in the values.yaml, this means you might want to pre-configure objects for consumers that would just need to enable them if they want to use them.
At the top level of the YAML structure, HULL distinguishes between config and objects. While the config sub-configuration is intended to deal with chart specific settings such as metadata and product settings, the concrete Kubernetes objects to be rendered are specified under the objects key.
An additional third top level key named version is allowed as well, when this is being set to the HULL charts version for example during the parent Helm Charts release pipeline it will automatically populate the label vidispine.hull/versionon all objects indicating the HULL version that was used to render the objects.
Within the config section you can configure general settings for your Helm chart. It is divided into two subsections, config.general and config.specific.
In contrast to the config.specific section, which should be populated with arbitrary data that is specific only to a single helm chart, the config.global section should be used to define everything that is not particular to a unique application. On the one hand it holds configuration options which are relevant for all HULL based charts but also leaves room under the config.global.data entry to define your own data fields which ideally are modeled the same way in other helm charts. For example, if several applications in a product suite depend on the same endpoints, you could model these endpoints uniformly under the general.data property in all relevant charts and thereby having your helm charts interface in the same way with e.g. a continuous deployment pipeline.
config.general has only the following sub-fields: nameOverridefullnameOverridenamespaceOverridenoObjectNamePrefixescreateImagePullSecretsFromRegistriesglobalImageRegistryServerglobalImageRegistryToFirstRegistrySecretServerdebugrbacdataserializationpostRendererrorChecksmetadata
| Parameter | Description | Default | Example |
|---|---|---|---|
nameOverride |
The name override is applied to values of metadata label app.kubernetes.io/name. If set this effectively replaces the chart name here. |
||
fullnameOverride |
If set to a value, the fullname override is applied as a prefix to all object names and replaces the standard <release>-<chart> prefix pattern in object names. |
myapp |
|
namespaceOverride |
If set to a value, the namespace of all created objects is set to this value. If this is not defined, the namespace of all object instances defaults to the release namespace provided to the respective helm command. | my-namespace |
|
noObjectNamePrefixes |
If set, the object instance keys directly serve as the names for the Kubernetes objects created and are never prefixed. This is technically equivalent to setting staticName true on each object. Note that by setting this to true the value of config.general.fullnameOverride becomes irrelevant. |
false |
true |
createImagePullSecretsFromRegistries |
If true, image pull secrets are created from all registries defined in this Helm chart and are added to all pods. | true |
false |
globalImageRegistryServer |
If not empty the registry field of all container image fields is set to the value given here. The setting of config.general.globalImageRegistryToFirstRegistrySecretServer is ignored if this field is non-empty. All defined explicit registry settings for an image are overwritten with this value.Intended usage of this is to conveniently have all images pulled from a central docker registry in case of air-gap like deployment scenarios. Contrary to setting globalImageRegistryToFirstRegistrySecretServer to true, in this case the registry secret is typically defined outside of this helm chart and the registry secret's server is referenced by its name directly. If you use this feature and define the Docker registry secret outside of this Helm chart you may additionally need to add imagePullSecrets to your pods in case the referenced Docker registry is not insecure. |
"" |
mycompany.docker-registry.io |
globalImageRegistryToFirstRegistrySecretServer |
If true and globalImageRegistryServer is empty, the registry field of all container image fields is set to the server field of the first found registry object. Note that this is the registry with the lowest alphanumeric key name if you provide multiple registry obejcts. Should normally be used together with setting createImagePullSecretsFromRegistries to true to benefit from autopopulated imagePullSecrets and accordingly set registry. Explicit registry settings for an image are overwritten with this value.Intended usage of this setting is to conveniently have all images pulled from a central docker registry in case of air-gap like deployment scenarios. |
false |
true |
errorChecks |
Options that determine in which cases HULL will generate an error on helm install or helm template. For more details see also the detailed documentation on configuring error checks Has only the following sub-fields: objectYamlValidhullGetTransformationReferenceValidcontainerImageValidvirtualFolderDataPathExistsvirtualFolderDataInlineValid |
||
errorChecks.objectYamlValid |
Validate that no broken YAML is rendered | true |
|
errorChecks.hullGetTransformationReferenceValid |
Validate that all _HT* references point to an existing key in the values.yaml |
true |
|
errorChecks.containerImageValid |
Validate that all pod's containers and initContainers image sections exist and have at least a repository set |
true |
|
errorChecks.virtualFolderDataPathExists |
Validate that all files being refered to in a ConfigMap and Secret's data path field do physically exist |
true |
|
errorChecks.virtualFolderDataInlineValid |
Validate that no null values or missing values (which are converted to empty strings) are set for ConfigMap and Secret's data inline fields |
false |
|
debug |
Options that can help with debugging chart problems. Mostly obsolete and replaced by speaking default error messages configured under errorChecks.Has only the following sub-fields: renderBrokenHullGetTransformationReferencesrenderNilWhenInlineIsNilrenderPathMissingWhenPathIsNonExistent |
||
debug.renderBrokenHullGetTransformationReferences |
Global switch which if enabled will print out a string: HULL failed with error BROKEN-HULL-GET-TRANSFORMATION-REFERENCE: Element <y> in path <x.y.z> was not found including the _HT*/hull.util.transformation.get reference (x.y.z) and the missing key (y) if the transformation references a non existing dictionary key. This is useful to debug chart rendering and reduces searching for broken references because normally the installation aborts with an error on broken references (which may make it hard to pin point the problematic reference(s)). NOTE: By now any broken get reference will be signaled by a speaking helm error by default so this switch is mostly obsolete for debugging broken references. It is recomended to disable this option and fail hard on broken get references instead and analyze problems directly from the error message. |
false |
true |
debug.renderNilWhenInlineIsNil |
Global switch which if enabled will print out a string: <nil>as a data fields value when an inline spec references a nil pointer in a ConfigMap or Secret. If set to false, the nil value will be printed as an empty string in the ConfigMap or Secret data field. NOTE: By now any invalid inline fields will be signaled by a speaking helm error by default (meaning hull.config.general.errorChecks.virtualFolderDataInlineValid is true). Enabling this switch is mostly obsolete for debugging and it is recomended to disable this option and fail hard on invalid inline fields. |
false |
true |
debug.renderPathMissingWhenPathIsNonExistent |
Global switch which if enabled will print out a string: <path missing: the_missing_path>in a ConfigMap or Secret data fields value including the the_missing_path value which does not resolve to a file. If false, the data fields value will resolve to an empty string. NOTE: By now any non-existent file referenced in a path field will be signaled by a speaking helm error by default (meaning hull.config.general.errorChecks.virtualFolderDataPathExists is true). Enabling this switch is mostly obsolete for debugging and it is recomended to disable this option and fail hard on non-existing file path references. |
false |
true |
render |
Options to influence how HULL renders out objects as YAML. Has only the following sub-fields: emptyAnnotationsemptyLabelsemptyHullObjects |
||
render.emptyAnnotations |
If true, HULL renders out annotations: {} if no annotations exist for an object, if false the annotations key is omitted. |
false |
true |
render.emptyLabels |
If true, HULL renders out labels: {} if no labels exist for an object, if false the labels key is omitted. |
false |
true |
render.emptyTemplateAnnotations |
If true, HULL renders out annotations: {} in the template of a pod if no annotations exist for an object, if false the annotations key is omitted. |
false |
true |
render.emptyTemplateLabels |
If true, HULL renders out labels: {} in the template of pods if no labels exist for an object, iffalsethelabels` key is omitted. |
false |
true |
render.emptyHullObjects |
If true, HULL renders out arrays as empty arrays if no elements exist for some fields processed by HULL. If false, the key-value pair is ommited. This affects fields which are mapped from a dictionary in HULL configuration to a Kubernetes array in the rendered YAML. The following is a list of affected fields in HULL's object configuration:
|
false |
true |
postRender |
After HULL has fully rendered an object it is possible to manipulate the resulting YAML string. Possibilities to do so are provided as postRender actions here. WARNING: Use with caution as this may corrupt the YAML structure! |
||
postRender.globalStringReplacements |
A dictionary of replacement possibilities that may be applied to the rendered object's YAML. The main use case for this is in combination with extensive defaulting in _HULL_OBJECT_TYPE_DEFAULT_ and sources object instances where it allows to inject instance specific strings into the defaulted YAML. The preconfigured mappings provided may be enabled: true on demand. Each mapping consists of following fields:
|
||
postRender.globalStringReplacements.instanceKey |
If enabled, the string value will be replaced with the actual object's instance_key as in hull.objects.<object_type>.<instance_key>. The value of replacement is OBJECT_INSTANCE_KEY for this mapping. |
instanceKey:enabled: falsestring: _HULL_OBJECT_TYPE_DEFAULT_replacement: OBJECT_INSTANCE_KEY |
|
postRender.globalStringReplacements.instanceKeyResolved |
If enabled, the string value will be replaced with the actual object's instance_key as in hull.objects.<object_type>.<instance_key> or by hull.objects.<object_type>.<instance_key>.metadataNameOverride if this is defined. The value of replacement is OBJECT_INSTANCE_KEY_RESOLVED for this mapping. |
instanceKeyResolved:enabled: falsestring: _HULL_OBJECT_TYPE_DEFAULT_replacement: OBJECT_INSTANCE_KEY_RESOLVED |
|
postRender.globalStringReplacements.instanceName |
If enabled, the string value will be replaced with the actual object's rendered metadata.name. The value of replacement is OBJECT_INSTANCE_NAME for this mapping. |
instanceName:enabled: falsestring: _HULL_OBJECT_TYPE_DEFAULT_replacement: OBJECT_INSTANCE_NAME |
|
serialization |
General serialization options. | ||
serialization.configmap.enabled |
If enabled, the mapped file extensions under fileExtensions are serialized with the given serialization method by default. If the data key ends with one of the mapped extensions the serialization method in the value is used to write the content to string. A specific serialization field on a configmaps data entry overwrites any default settings. |
true |
|
serialization.configmap.fileExtensions |
A dictionary of mappings from file extensions to serialization methods. | fileExtensions:json: toPrettyJsonyaml: toYamlyml: toYaml |
|
serialization.secret.enabled |
If enabled, the mapped file extensions under fileExtensions are serialized with the given serialization method by default. If the data key ends with one of the mapped extensions the serialization method in the value is used to write the content to string. A specific serialization field on a secrets data entry overwrites any default settings. |
true |
|
serialization.secret.fileExtensions |
A dictionary of mappings from file extensions to serialization methods. | fileExtensions:json: toPrettyJsonyaml: toYamlyml: toYaml |
|
config.general.rbac |
Global switch which enables RBAC objects for installation. If true all enabled RBAC objects are deployed to the cluster, if false no RBAC objects are created at all.RBAC objects that are deployable are: rolesrolebindingsclusterrolesclusterrolebindings |
true |
false |
config.general.data |
Free form field whereas subfields of this field should have a clearly defined meaning in the context of your product suite. For example, assume all of your products or microservices (each coming as a separate helm chart) depends on the same given endpoints (authentication, configuration, ...). You might have a shared Kubernetes job executed by each helm chart which targets those endpoints. Now you could specify an external HULL values.yaml containing the job specification and the endpoint definition here in a way you see fit and construct an overlay values.yaml rendered on top of each deployment and have a unified mechanism in place. |
{} |
|
config.general.metadata |
Defined metadata fields here will be automatically added to all objects metadata. Has only the following sub-fields: labelsannotations |
||
config.general.metadata.labels |
Labels that are added to all objects. The common labels refer to the Kubernetes and Helm common labels and custom labels can be freely specified. Has only the following sub-fields: commoncustom |
||
config.general.metadata.labels.common |
Common labels specification as defined in https://helm.sh/docs/chart_best_practices/labels/ and https://kubernetes.io/docs/concepts/overview/working-with-objects/common-labels/. Unless specifically overwritten with empty values ( '') all metadata labels are automatically added to all objects according to their default definition. It should be considered to set a value for config.general.metadata.labels.common.'app.kubernetes.io/part-of' if the helm chart is part-of a product suite. |
||
config.general.metadata.labels.common.'app.kubernetes.io/managed-by' |
Managed by metadata. | {{ .Release.Service }} |
|
config.general.metadata.labels.common.'app.kubernetes.io/version' |
Version metadata. | {{ .Chart.AppVersion }} |
|
config.general.metadata.labels.common.'app.kubernetes.io/part-of' |
Part-of metadata. | "unspecified" |
|
config.general.metadata.labels.common.'app.kubernetes.io/name' |
Name metadata. | {{ printf "%s-%s" .ChartName <hullObjectKey> }} |
|
config.general.metadata.labels.common.'app.kubernetes.io/instance' |
Instance metadata. | {{ .Release.Name }} |
|
config.general.metadata.labels.common.'app.kubernetes.io/component' |
Component metadata. | <hullObjectKey> |
|
config.general.metadata.labels.common.'helm.sh/chart' |
Helm metadata. | `{{ (printf "%s-%s" .Chart.Name .Chart.Version) | replace "+" "_" }}` |
config.general.metadata.labels.custom |
All specified custom labels are automatically added to all objects of this helm chart. | {} |
|
config.general.metadata.annotations |
Annotations that are added to all objects. The custom labels can be freely specified. Has only the following sub-fields: custom. |
||
config.general.metadata.annotations.custom |
All specified custom annotations are automatically added to all objects of this helm chart. | {} |
|
config.specific |
Free form field that holds configuration options that are specific to the specific product contained in the helm chart. Typically the values specified here ought to be used to populate the contents of configuration files that a particular applications read their configuration from at startup. Hence the config.specific fields are typically being consumed in ConfigMaps or Secrets. |
{} |
maxDatepickerRange: 50defaultPoolColor: "#FB6350"updateInterval: 60000 |
The top-level object types beneath hull.objects represent the supported Kubernetes object types you might want to create instances from. Each object type is a dictionary where the entries values are the objects properties and each object has it's own key which is unique to the object type it belongs to. Further K8S object types can be added as needed to the library so it can easily be extended.
One important aspect is that for all top-level object types, instances of a particular type are always identified by a key which is unique to the instance and object type combination. The same key can however be used for instances of different object types.
By having keys that identify instances you can:
-
do multi-layered merging of object properties by stacking
values.yamlfiles on top of each other. You might start with defining the default object structure of the application or micro service defined in the given helm chart. Then you might add avalues.yamllayer for a particular environment like staging or production. Then you might add avalues.yamllayer for credentials. And so on. By uniquely identifying the instances of a particular K8s object type it becomes easy to adjust the objects properties through a multitude of layers. -
use the key of an instance for naming the instance. All instance names are constructed by the following ground rule:
{{ printf "%s-%s-%s" .Release.Name .Chart.Name key }}. This generates unique, dynamic names per object type and release + instance key combination.For example, assuming the parent Helm chart is named
my_webserviceand the release namedstagingand given this specification invalues.yaml:hull: objects: deployment: nginx: pod: containers: nginx: repository: nginx tag: 1.14.2
a Kubernetes deployment object with the following
metadata.nameis created:my_webservice-staging-nginxNote that you can opt to define a static name for instances you create by adding a property
staticName: trueto your objects definition. If you do so the objects name will exactly match the key name you chose. -
each particular instance can have an
enabledsub-field set totrueorfalse. This way you can predefine instances of object types in your helm chartsvalues.yamlbut not deploy them in a default scenario. Or enable them by default and refrain from deploying them in a particular environment by disabling them in an superimposed system specificvalues.yaml. Note that unless you explicitly specifyenabled: falseeach instance you define will be created by default, a missingenabledkey is equivalent toenabled: true. -
cross-referencing objects within a helm chart by the instance key is a useful feature of the HULL library. This is possible in these contexts:
- when a reference to a ConfigMap or Secret comes into play you can just use the key of the targeted instance and the dynamic name will be rendered in the output. This is possible for referencing
- a ConfigMap or Secret behind a Volume or
- a Secret behind an Ingress' TLS specification or
- a ConfigMap or Secret behind an environment value added to a container spec.
- when referencing Services in the backend of an ingress' host you can specify the key to reference the backend service.
Note that you can in these cases opt to refer to a static name instead too. Adding a property
staticName: trueto the dictionary with your reference will force the referenced objects name to exactly match the name you entered.
The values of object instance keys reflects the Kubernetes objects to create for the chart. To specify these objects efficiently, the available properties for configuration can be split into three groups:
-
Basic HULL object configuration with hull.ObjectBase.v1 whose properties are available for all object types and instances. These are
enabled,staticName,annotationsandlabels.Given the example of a
deploymentnamednginxyou can add the following properties of hull.ObjectBase.v1 to the object instance:hull: objects: deployment: nginx: # unique key/identifier of the deployment to create staticName: true # property of hull.ObjectBase.v1 # forces the metadata.name to be just the <KEY> 'nginx' # and not a dynamic name '<CHART>-<RELEASE>-<KEY>' which # would be the better default behavior of creating # unique object names for all objects. enabled: true # property of hull.ObjectBase.v1 # this deployment will be rendered to a YAML object if enabled labels: demo_label: "demo" # property of hull.ObjectBase.v1 # add all labels here that shall be added # to the object instance metadata section annotations: demo_annotation: "demo" # property of hull.ObjectBase.v1 # add all annotations here that shall be added # to the object instance metadata section pod: ... # Here would come the hull.PodTemplate.v1 definition # see below for details
-
Specialized HULL object properties for some object types. Below is a reference of which object type supports which special properties in addition to the basic object configuration.
Again given the example of a
deploymentnamednginxyou would want to add properties of the HULL hull.PodTemplate.v1 to the instance. With them you set thepodproperty to define the pod template (initContainers, containers, volumes, ...) and can addtemplateLabelsandtemplateAnnotationsjust to the pods createdmetadataand not the deployment objectsmetadatasection:hull: objects: deployment: nginx: staticName: true enabled: true labels: demo_label: "demo" annotations: demo_annotation: "demo" templateLabels: # property of hull.PodTemplate.v1 to define # labels only added to the pod demo_pod_label: "demo pod" templateAnnotations: # property of hull.PodTemplate.v1 to define # annotations only added to the pod demo_pod_annotation: "demo pod" pod: # property of hull.PodTemplate.v1 to define the pod template containers: nginx: # all containers of a pod template are also referenced by a # unique key to make manipulating them easy. image: repository: nginx # specify repository and tag # separately with HULL for easier composability tag: 1.14.2 ... # further properties (volumeMounts, affinities, ...)
-
Kubernetes object properties. For each object type it is basically possible to specify all existing Kubernetes properties. In case a HULL property overwrites a identically named Kubernetes property the HULL property has precedence. Even if a HULL property overrides a Kubernetes property it is intended to provide the same complete configuration options, even if sometimes handled differently by HULL.
Some of the typical top-level Kubernetes object properties and fields don't require setting them with HULL based objects because they can be deducted automatically:
- the
apiVersionandkindare determined by the HULL object type and Kubernetes API version and don't require to be explicitly set (except for objects of typecustomresource). - the top-level
metadatadictionary on objects is handled by HULL via theannotationsandlabelsfields and the naming rules explained above. So themetadatafield does not require configuration and is hence not configurable for any object.
Some lower level structures are also converted from the Kubernetes API array form to a dictionary form or are modified to improve working with them. This also enables more sophisticated merging of layers since arrays don't merge well, they only can be overwritten completely. Overwriting arrays however can make it hard to forget about elements that are contained in the default form of the array (you would need to know that they existed in the first place). In short, for a layered configuration approach without an endless amount of elements the dictionary is preferable for representing data since it offers a much better merging support.
So again using the example of a
deploymentnamednginxyou can add the remaining available Kubernetes properties to the object instance which are not handled by HULL as shown below. For adeploymentspecifically you can add all the remaining properties defined in thedeploymentspecAPI schema from deploymentspec-v1-apps which areminReadySeconds,paused,progressDeadlineSeconds,replicas,revisionHistoryLimitandstrategy. If properties are marked as mandatory in the Kubernetes JSON schema you must provide them otherwise the rendering process will fail:hull: objects: deployment: nginx: staticName: true enabled: true labels: demo_label: "demo" annotations: demo_annotation: "demo" pod: ... # Here would come the hull.PodTemplate.v1 definition # see above for details replicas: 3 # property from the Kubernetes API deploymentspec strategy: # property from the Kubernetes API deploymentspec type: Recreate ... # further Kubernetes API deploymentspec options
- the
Here is an overview of which top level properties are available for which object type in HULL. The HULL properties are grouped by the respective HULL JSON schema group they belong to. A detailed description of these groups and their properties is found in the documentation of this helm chart and the respective linked documents.
| HULL Object Type |
HULL Properties |
Kubernetes/External Properties |
|---|---|---|
deployment |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.PodTemplate.v1 templateAnnotationstemplateLabelspod |
deploymentspec-v1-appsminReadySecondspausedprogressDeadlineSecondsreplicasrevisionHistoryLimitstrategy |
job |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.PodTemplate.v1 templateAnnotationstemplateLabelspod |
jobspec-v1-batchactiveDeadlineSecondsbackoffLimitcompletionModecompletionsmanualSelectorparallelismselectorsuspendttlSecondsAfterFinished |
daemonset |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.PodTemplate.v1 templateAnnotationstemplateLabelspod |
daemonsetspec-v1-appsminReadySecondsordinalsrevisionHistoryLimitupdateStrategy |
statefulset |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.PodTemplate.v1 templateAnnotationstemplateLabelspod |
statefulsetspec-v1-appspodManagementPolicyreplicasrevisionHistoryLimitserviceNameupdateStrategyserviceNamevolumeClaimTemplates |
cronjob |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.Job.v1 job |
cronjobspec-v1-batchconcurrencyPolicyfailedJobsHistoryLimitschedulestartingDeadlineSecondssuccessfulJobsHistoryLimitsuspend |
| HULL Object Type |
HULL Properties |
Kubernetes/External Properties |
|---|---|---|
endpoints |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
endpoints-v1-coresubsets |
endpointslice |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
endpointslice-v1-discovery-k8s-ioaddressTypeendpointsports |
service |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.Service.v1 ports |
servicespec-v1-coreallocateLoadBalancerNodePortsclusterIPclusterIPsexternalIPsexternalNameexternalTrafficPolicyhealthCheckNodePortinternalTrafficPolicyipFamiliesipFamilyPolicyloadBalancerClassloadBalancerIPloadBalancerSourceRangespublishNotReadyAddressesselectorsessionAffinitysessionAffinityConfigtopologyKeystype |
ingress |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.Ingress.v1 tlsrules |
ingressspec-v1-networking-k8s-iodefaultBackendingressClassName |
ingressclass |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
ingressclassspec-v1-networking-k8s-iocontrollerparameters |
| HULL Object Type |
HULL Properties |
Kubernetes/External Properties |
|---|---|---|
configmap |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.VirtualFolder.v1 data |
configmap-v1-corebinaryDataimmutable |
secret |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.VirtualFolder.v1 data |
secret-v1-coreimmutablestringDatatype |
registry |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.Registry.v1 serverusernamepassword |
secret-v1-core |
persistentvolumeclaim |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
persistentvolumeclaimspec-v1-coreaccessModesdataSourceresourcesselectorstorageClassNamevolumeModevolumeName |
storageclass |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
storageclass-v1-storage-k8s-ioallowVolumeExpansionallowedTopologiesmountOptionsparametersprovisionerreclaimPolicyvolumeBindingMode |
| HULL Object Type |
HULL Properties |
Kubernetes/External Properties |
|---|---|---|
customresource |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.CustomResource.v1 apiVersionkindspec |
|
limitrange |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
limitrange-v1-corelimits |
horizontalpodautoscaler |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.HorizontalPodAutoscaler.v1 scaleTargetRef |
horizontalpodautoscalerspec-v2-autoscalingbehaviormaxReplicasmetricsminReplicas |
mutatingwebhookconfiguration |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.MutatingWebhook.v1 webhooks |
|
poddisruptionbudget |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
poddisruptionbudgetspec-v1-policymaxUnavailableminAvailableselectorunhealthyPodEvictionPolicy |
validatingwebhookconfiguration |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.ValidatingWebhook.v1 webhooks |
|
priorityclass |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
priorityclass-v1-scheduling-k8s-iodescriptionglobalDefaultpreemptionPolicyvalue |
| HULL Object Type |
HULL Properties |
Kubernetes/External Properties |
|---|---|---|
clusterrole |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.Rule.v1 rules |
clusterrole-v1-rbac-authorization-k8s-ioaggregationRule |
clusterrolebinding |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
clusterrolebinding-v1-rbac-authorization-k8s-ioroleRefsubjects |
namespace |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
namespace-v1-corespecstatus |
persistentvolume |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
persistentvolumespec-v1-coreaccessModesawsElasticBlockStoreazureDiskazureFilecapacitycephfscinderclaimRefcsifcflexVolumeflockergcePersistentDiskglusterfshostPathiscsilocalmountOptionsnfsnodeAffinitypersistentVolumeReclaimPolicyphotonPersistentDiskportworxVolumequobyterbdscaleIOstorageClassNamestorageosvolumeModevsphereVolume |
role |
hull.ObjectBase.v1enabledannotationslabelsstaticNamehull.Rule.v1 rules |
role-v1-rbac-authorization-k8s-io |
rolebinding |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
rolebinding-v1-rbac-authorization-k8s-ioroleRefsubjects |
serviceaccount |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
serviceaccount-v1-coreautomountServiceAccountTokenimagePullSecretssecrets |
resourcequota |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
resourcequotaspec-v1-corehardscopeSelectorscopes |
networkpolicy |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
networkpolicyspec-v1-networking-k8s-ioegressingresspodSelectorpolicyTypes |
Other APIs
| HULL Object Type |
HULL Properties |
Kubernetes/External Properties |
|---|---|---|
servicemonitor |
hull.ObjectBase.v1enabledannotationslabelsstaticName |
ServiceMonitor CRDspec |
To test or install a chart based on HULL the standard Helm v3 tooling is usable. See also the Helm documentation at the Helm website.
To inspect the outcome of a specific values.yaml configuration you can simply render the templates which would be deployed to Kubernetes and inspect them with the below command adapted to your needs:
<PATH_TO_HELM_V3_BINARY> template --debug --namespace <CHART_RELEASE_NAMESPACE> --kubeconfig <PATH_TO_K8S_CLUSTER_KUBECONFIG> -f <PATH_TO_SYSTEM_SPECIFIC_VALUES_YAML> --output-dir <PATH_TO_OUTPUT_DIRECTORY> <PATH_TO_CHART_DIRECTORY>
Installing or upgrading a chart using HULL follows the standard procedures for every Helm chart:
<PATH_TO_HELM_V3_BINARY> upgrade --install --debug --create-namespace --atomic --namespace <CHART_RELEASE_NAMESPACE> --kubeconfig <PATH_TO_K8S_CLUSTER_KUBECONFIG> -f <PATH_TO_SYSTEM_SPECIFIC_VALUES_YAML> <RELEASE_NAME> <PATH_TO_CHART_DIRECTORY>
Using the nginx deployment example from the Kubernetes documentation https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#creating-a-deployment as something we want to create with our HULL based Helm chart:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx
labels:
app: nginx
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80To render this analogously using the HULL library your chart needs to be setup for using HULL. In the following section we assume the parent Helm chart is named hull-test and we use the helm template command to test render the values.yaml's.
A minimal example of creating the expected result from above would be to create a values.yaml like below in your parent chart (commented with some explanations). Note that some default features of HULL such as RBAC and dynamic naming are explicitly disabled here to obtain the output matching the above example closely:
hull:
config:
general:
rbac: false # Don't render RBAC objects. By default HULL would provide
# a 'default' Role and 'default' RoleBinding associated with
# a 'default' ServiceAccount to use for all pods.
# You can modify this as needed. Here we turn it off to not
# render the default RBAC objects.
objects:
serviceaccount:
default:
enabled: false # The release specific 'default' ServiceAccount created
# for a release by default is disabled here. In this case
# it will not be rendered out and automatically used as
# 'serviceAccountName' in the pod templates.
deployment:
nginx: # all object instances have a key used for naming the objects and
# allowing to overwrite properties in multiple values.yaml layers
staticName: true # forces the metadata.name to be just the <KEY> 'nginx'
# and not a dynamic name '<CHART>-<RELEASE>-<KEY>' which
# would be the better default behavior of creating
# unique object names for all objects.
replicas: 3
pod:
containers:
nginx: # all containers of a pod template are also referenced by a
# unique key to make manipulating them easy.
image:
repository: nginx
tag: 1.14.2
ports:
http: # unique key per container here too. All key-value structures
# which are finally arrays in the K8S objects are converted to
# arrays on rendering the chart.
containerPort: 80This produces the following rendered deployment when running the helm template command (commented with some brief explanations):
apiVersion: apps/v1 # derived from object type 'deployment'
kind: Deployment # derived from object type 'deployment'
metadata:
annotations: {}
labels: # standard Kubernetes metadata is created always automatically.
app.kubernetes.io/component: nginx
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
helm.sh/chart: hull-test-1.29.0
name: nginx # default name would be 'release-name-hull-test-nginx'
# but with staticName: true in the HULL spec it is just the key name
spec:
replicas: 3
selector: # selector is auto-created to match the unique metadata combination
# found also in the in the object's metadata labels.
matchLabels:
app.kubernetes.io/component: nginx
app.kubernetes.io/instance: release-name
app.kubernetes.io/name: hull-test
template:
metadata:
annotations: {}
labels: # auto-created metadata is added to pod template
app.kubernetes.io/component: nginx
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
helm.sh/chart: hull-test-1.29.0
spec:
containers:
- env: []
envFrom: []
image: nginx:1.14.2
name: nginx
ports:
- containerPort: 80
name: http # name 'http' derived from the key of the port
# object defined in the values.yaml
volumeMounts: []
imagePullSecrets: {}
initContainers: []
volumes: []Now to render the nginx deployment example showcasing extra features of the HULL library you can could create the below values.yaml file in your parent chart. Note that this is a very advanced example of what is possible using this library chart.
This example highlights:
- hierarchical metadata handling
- default RBAC setup of objects
- dynamic naming mechanism
- transformations
- easy inclusion of ConfigMaps and/or Secrets
hull:
config:
general: # This time we are not setting rbac: false
# so RBAC default objects are created.
# If the default objects don't match the use-case
# you can tweak all aspects individually if needed
metadata:
labels:
custom: # Additional labels added to all K8S objects
general_custom_label_1: General Custom Label 1
general_custom_label_2: General Custom Label 2
general_custom_label_3: General Custom Label 3
annotations:
custom: # Additional annotations added to all K8S objects
general_custom_annotation_1: General Custom Annotation 1
general_custom_annotation_2: General Custom Annotation 2
general_custom_annotation_3: General Custom Annotation 3
specific: # Put configuration options specific to this chart here
nginx_tag: 1.14.2 # You can also use entries here to globally
# define values that are referenced in multiple
# places in your chart. See how this field
# is accessed below in the deployment.
objects:
deployment:
_HULL_OBJECT_TYPE_DEFAULT_: # A special object key available for
# all object types allowing defining
# defaults for properties of all object
# type instances created.
annotations:
default_annotation_1: Default Annotation 1
default_annotation_2: Default Annotation 2
general_custom_annotation_2: Default Annotation 2 # overwriting this
# general annotation for
# all deployments
labels:
default_label_1: Default Label 1
default_label_2: Default Label 2
general_custom_label_2: Default Label 2 # overwriting this
# general label for
# all deployments
nginx: # specify the nginx deployment under key 'nginx'
# This time we're not setting the metadata.name to be static so
# name will be created dynamically and will be unique
annotations:
general_custom_annotation_3: Specific Object Annotation 3 # overwrite a
# general annotation
default_annotation_2: Specific Object Annotation 2 # overwrite a default annotation
specific_annotation_1: Specific Object Annotation 1 # add a specific annotation
# to the all this object's metadata
labels:
general_custom_label_3: Specific Object Label 3 # overwrite a
# general label
default_label_2: Specific Object Label 2 # overwrite a default label
specific_label_1: Specific Object Label 1 # add a specific label
# to the all this object's metadata
templateAnnotations:
specific_annotation_2: Specific Template Annotation 2 # this annotation will only appear
# in the pod template metadata
templateLabels:
specific_label_2: Specific Template Label 2 # this label will only appear
# in the pod template metadata
replicas: 3
pod:
containers:
nginx: # all containers of a pod template are also referenced by a
# unique key to make manipulating them easy.
image:
repository: nginx
tag: _HT!{{ (index . "$").Values.hull.config.specific.nginx_tag }}
# Applies a tpl transformation allowing to inject dynamic data based
# on values in this values.yaml into the resulting field (here the tag
# field of this container).
# _HT! is the short form of the transformation that applies tpl to
# a given value. This example just references the value of the field
# which is specified further above in the values.yaml and will
# produce 'image: nginx:1.14.2' when rendered in the resulting
# deployment YAML but complex conditional Go templating logic is
# applicable too.
# There are some limitations to using this approach which are
# detailed in the transformation.md in the doc section.
ports:
http: # unique key per container here too. All key-value structures
# which are array in the K8S objects are converted to arrays
# on rendering the chart.
containerPort: 80
configmap: # this is to highlight the secret/configmap inclusion feature
nginx_configmap: # configmap objects have keys too
data: # specify for which contents a data entry shall be created
# within only a few lines of configuration. Contents can come from ...
an_inline_configmap.txt: # ... an inline specified content or ...
inline: |-
Top secret contents
spread over
multiple lines...
contents_from_an_external_file.txt: # ... something from an external file.
path: files/my_secret.txt
This produces the following rendered objects when running the helm template command (commented with some brief explanations):
---
# Source: hull-test/templates/hull.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
annotations:
general_custom_annotation_1: General Custom Annotation 1 # All objects share the general_custom_annotations
general_custom_annotation_2: General Custom Annotation 2 # if they are not overwritten for the object type's
general_custom_annotation_3: General Custom Annotation 3 # default or specific instance
labels:
app.kubernetes.io/component: default
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
general_custom_label_1: General Custom Label 1 # All objects share the general_custom_labels
general_custom_label_2: General Custom Label 2 # if they are not overwritten for the object type's
general_custom_label_3: General Custom Label 3 # default or specific instance
helm.sh/chart: hull-test-1.29.0
name: release-name-hull-test-default # This is the default ServiceAccount created for this chart.
# As all object instances by default it will be assigned a
# dynamically created unique name in context of this object type.
# In the simple example we disabled this rendering by
# setting enabled: false for this object's key.
---
# Source: hull-test/templates/hull.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
annotations:
general_custom_annotation_1: General Custom Annotation 1
general_custom_annotation_2: General Custom Annotation 2
general_custom_annotation_3: General Custom Annotation 3
labels:
app.kubernetes.io/component: default
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
general_custom_label_1: General Custom Label 1
general_custom_label_2: General Custom Label 2
general_custom_label_3: General Custom Label 3
helm.sh/chart: hull-test-1.29.0
name: release-name-hull-test-default # A default Role for RBAC.
rules: []
---
# Source: hull-test/templates/hull.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
annotations:
general_custom_annotation_1: General Custom Annotation 1
general_custom_annotation_2: General Custom Annotation 2
general_custom_annotation_3: General Custom Annotation 3
labels:
app.kubernetes.io/component: default
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
general_custom_label_1: General Custom Label 1
general_custom_label_2: General Custom Label 2
general_custom_label_3: General Custom Label 3
helm.sh/chart: hull-test-1.29.0
name: release-name-hull-test-default
roleRef:
apiGroup: rbac.authorization.k8s.io/v1
kind: Role
name: release-name-hull-test-default
subjects:
- apiGroup: rbac.authorization.k8s.io/v1
kind: ServiceAccount
name: release-name-hull-test-default # A default RoleBinding for RBAC. It connects the
# default ServiceAccount with the default Role.
# By default RBAC is enabled in charts.
---
# Source: hull-test/templates/hull.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
default_annotation_1: Default Annotation 1 # non-overwritten default_annotation
default_annotation_2: Specific Object Annotation 2 # overwritten default_annotation by instance
general_custom_annotation_1: General Custom Annotation 1 # non-overwritten general_custom_annotation
general_custom_annotation_2: Default Annotation 2 # overwritten general_custom_annotation
# by default_annotation
general_custom_annotation_3: Specific Object Annotation 3 # overwritten general_custom_annotation
# by specific_annotation
specific_annotation_1: Specific Object Annotation 1 # added annotation for instance metadata only
labels:
app.kubernetes.io/component: nginx
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
default_label_1: Default Label 1 # non-overwritten default_label
default_label_2: Specific Object Label 2 # overwritten default_label by instance
general_custom_label_1: General Custom Label 1 # non-overwritten general_custom_label
general_custom_label_2: Default Label 2 # overwritten general_custom_label by default_label
general_custom_label_3: Specific Object Label 3 # overwritten general_custom_label
# by specific_label
helm.sh/chart: hull-test-1.29.0
specific_label_1: Specific Object Label 1 # added label for instance metadata only
name: release-name-hull-test-nginx
spec:
replicas: 3
selector:
matchLabels:
app.kubernetes.io/component: nginx
app.kubernetes.io/instance: release-name
app.kubernetes.io/name: hull-test
template:
metadata:
annotations:
default_annotation_1: Default Annotation 1
default_annotation_2: Specific Object Annotation 2
general_custom_annotation_1: General Custom Annotation 1
general_custom_annotation_2: Default Annotation 2
general_custom_annotation_3: Specific Object Annotation 3
specific_annotation_1: Specific Object Annotation 1
specific_annotation_2: Specific Template Annotation 2 # this annotation was added only
# for the pod template's metadata
labels:
app.kubernetes.io/component: nginx
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
default_label_1: Default Label 1
default_label_2: Specific Object Label 2
general_custom_label_1: General Custom Label 1
general_custom_label_2: Default Label 2
general_custom_label_3: Specific Object Label 3
helm.sh/chart: hull-test-1.29.0
specific_label_1: Specific Object Label 1
specific_label_2: Specific Template Label 2 # this label was added only
# for the pod template's metadata
spec:
containers:
- env: []
envFrom: []
image: nginx:1.14.2
name: nginx
ports:
- containerPort: 80
name: http
volumeMounts: []
imagePullSecrets: {}
initContainers: []
serviceAccountName: release-name-hull-test-default # the dynamically created name
volumes: []
---
# Source: hull-test/templates/hull.yaml
apiVersion: v1
data:
an_inline_configmap.txt: "Top secret contents\nspread over \nmultiple lines..."
contents_from_an_external_file.txt: "Whatever was in this file ..."
kind: ConfigMap
metadata:
annotations:
general_custom_annotation_1: General Custom Annotation 1 # All objects share the general_custom_annotations
general_custom_annotation_2: General Custom Annotation 2 # if they are not overwritten for the object type's
general_custom_annotation_3: General Custom Annotation 3 # default or specific instance
labels:
app.kubernetes.io/component: nginx_configmap
app.kubernetes.io/instance: release-name
app.kubernetes.io/managed-by: Helm
app.kubernetes.io/name: hull-test
app.kubernetes.io/part-of: undefined
app.kubernetes.io/version: 1.29.0
general_custom_label_1: General Custom Label 1 # All objects share the general_custom_labels
general_custom_label_2: General Custom Label 2 # if they are not overwritten for the object type's
general_custom_label_3: General Custom Label 3 # default or specific instance
helm.sh/chart: hull-test-1.29.0
name: release-name-hull-test-nginx_configmapRead the additional documentation in the documentation folder on how to utilize the features of the HULL library to the full effect.