The following guide can be used to assist you when creating your unique batch scaling solution. An important thing to remember is that you cannot mix standard agents with scaling agents in the same workflows. Workflows with standard agents save the state in Usage Engine and workflows with batch agents save the state in Kafka.
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Use this table to explain the settings in the image.
Automatic Scaling | Manual Scaling |
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Note!
When creating a scalable workflow you need to add the Kafka profile in the execution tab of the workflow properties.
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Questions: Assumedly a scaling solution will contain multiple workflows and based on the above these workflows can be scheduled to be started at specific times or based on metrics? How does it being based on metrics work? does this need to be configured somewhere? The key difference for customers is that scaling workflows are quicker/more efficient at processing data than regular workflows? It’s not more automated in general but it is automatic at being efficient. (that sounds weird, but I think I understand what I mean.) This is why the metric question is interesting.. because sometimes a customer won’t know what times they’ll need to scale workflows. |
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