Update affinity definition for tpl usage #660
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Pull request description
This solution cannot utilize the toYaml function due to its dependence on dynamic TPL functionality for passing selector labels to affinity rules.
Using the
tpl
function in Helm instead oftoYaml
can be necessary in certain scenarios due to the specific requirements and limitations of Helm and Kubernetes configurations:Dynamic Templating: Helm's
tpl
function allows for dynamic templating, enabling you to generate configurations by interpolating values or variables. This can be useful when you need to create configuration elements programmatically, such as dynamically defining affinity rules or generating labels based on input values.Parameterization: Helm is designed to make it easy to parameterize and customize Kubernetes configurations. By using
tpl
, you can incorporate Helm values and templates into your configuration, making it more flexible and adaptable to different environments or use cases.Complex Logic: In some cases, you may need to apply complex logic or calculations to generate configuration elements.
tpl
allows you to include Helm-specific functions and expressions within your templates to achieve this, which may not be straightforward or even possible usingtoYaml
.Compatibility: Helm templates are a Helm-specific way to generate Kubernetes manifests. While
toYaml
can convert Helm templates to YAML, usingtpl
ensures that your templates remain Helm-centric and compatible with Helm's rendering and deployment process.However, there may still be situations where
toYaml
is useful, such as when you want to convert a Helm chart to plain YAML for debugging, manual inspection, or use outside of Helm. It's important to choose the appropriate tool based on your specific requirements and whether you need the dynamic templating capabilities provided bytpl
or the YAML conversion offered bytoYaml
.Checklist
e2e
label)