Configure deployments using YAML variables
YAML variables enable you to create variables that can have different values across different environments. For example, if you want to allocate more memory for a deployment in your production environment, you could have a variable
MEMORY that has a value of 500 in the development environment and 1000 in production.
Watch a video
You can watch a video on YAML variables here:
In the pipeline view, click on the service you want to configure, and then click the YAML button in the top right of the view. You see the
quix.yaml code, such as the following:
# Quix Project Descriptor # This file describes the data pipeline and configuration of resources of a Quix Project. metadata: version: 1.0 # This section describes the Deployments of the data pipeline deployments: - name: CPU Threshold application: Starter transformation deploymentType: Service version: transform-v2 resources: cpu: 200 memory: 500 replicas: 1 desiredStatus: Stopped variables: - name: input inputType: InputTopic description: Name of the input topic to listen to. required: false value: cpu-load - name: output inputType: OutputTopic description: Name of the output topic to write to. required: false value: transform - name: CPU Alert SMS ...
In this case you want to configure the memory for the service.
Variables tab and then click
+ New variable. Click
+ New variable on the dialog and create a variable called
MEMORY. Set the values for memory for each of the environments, such as develop and production. For example, you might set
MEMORY to 1000 for production, and 500 for develop.
Now create any other variables you would like to have, such as
CPU. This might be set to 1000 for production and 200 for develop.
Now edit the
Change this to:
This specifies that the variable values should be used, rather than the hard-coded values.
Curly braces are required to denote YAML variables.
Now sync up your environment. If you've made your changes to your develop environment, you will now need to merge those into your production environment, and then sync production.